CN106404795A - Infrared information-based metal additive manufacturing process control apparatus and method - Google Patents
Infrared information-based metal additive manufacturing process control apparatus and method Download PDFInfo
- Publication number
- CN106404795A CN106404795A CN201610941408.8A CN201610941408A CN106404795A CN 106404795 A CN106404795 A CN 106404795A CN 201610941408 A CN201610941408 A CN 201610941408A CN 106404795 A CN106404795 A CN 106404795A
- Authority
- CN
- China
- Prior art keywords
- infrared
- material manufacturing
- increasing material
- metal
- process control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Immunology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Radiation Pyrometers (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
Abstract
本发明公开了一种基于红外信息的金属增材制造过程控制装置,其包括:增材制造操作单元,用于制造金属工件;红外图像信息采集单元,其包括红外采集设备(1),用于实时采集所述金属工件的熔池及其周边的红外温度场图像,图像处理单元(9),其通过数据总线(7)与所述红外图像信息采集单元连接,用于对所述红外温度场图像进行处理并生成反馈指令,以及反馈控制单元(10),用于控制所述增材制造操作单元,从而对参数进行调整以消除缺陷或者报警停机。本发明还公开了应用该装置的控制方法。本发明的装置能够实现金属增材制造全过程的实时质量监测,可以及时采取措施抑制缺陷扩展或者及时停止操作,防止产品报废或完工后的返修。
The invention discloses a metal additive manufacturing process control device based on infrared information, which includes: an additive manufacturing operation unit for manufacturing metal workpieces; an infrared image information acquisition unit, which includes an infrared acquisition device (1) for Real-time collection of infrared temperature field images of the melting pool of the metal workpiece and its surroundings, an image processing unit (9), which is connected with the infrared image information acquisition unit through a data bus (7), and is used to analyze the infrared temperature field The images are processed to generate feedback instructions, and a feedback control unit (10) is used to control the additive manufacturing operation unit, so as to adjust parameters to eliminate defects or alarm shutdown. The invention also discloses a control method using the device. The device of the present invention can realize real-time quality monitoring of the whole process of metal additive manufacturing, and can take timely measures to suppress the expansion of defects or stop operations in time to prevent product scrapping or repair after completion.
Description
技术领域technical field
本发明属于红外检测和金属增材制造的过程控制领域,更具体地,涉及一种基于红外信息的金属增材制造过程控制装置与方法。The invention belongs to the field of infrared detection and process control of metal additive manufacturing, and more particularly relates to a process control device and method for metal additive manufacturing based on infrared information.
背景技术Background technique
金属增材制造技术可以加工出一些常规金属加工手段难以完成的产品,并且生产周期短、效率高。现今金属增材制造领域比较成熟应用于工业生产的主要是利用激光或者电子束作为热源来对金属粉末或金属丝进行熔融烧结。如选择性激光烧结(SLS)、直接激光烧结型(DMLS)和激光堆焊型(SLM)及电子束熔炼(EMB)等。此类金属增材制造技术可快速生产出高质量、高精度的产品,且已开始应用于航空航天、汽车制造、医疗器械等工业领域。Metal additive manufacturing technology can process some products that are difficult to complete by conventional metal processing methods, and the production cycle is short and the efficiency is high. Nowadays, the field of metal additive manufacturing is more mature and applied in industrial production, mainly using laser or electron beam as heat source to melt and sinter metal powder or wire. Such as selective laser sintering (SLS), direct laser sintering (DMLS), laser surfacing (SLM) and electron beam melting (EMB). This type of metal additive manufacturing technology can quickly produce high-quality, high-precision products, and has begun to be used in industrial fields such as aerospace, automobile manufacturing, and medical equipment.
然而,激光类增材制造和弧焊增材制造在制造过程中由于材料特性或特征参量的影响不可避免存在如孔隙、裂纹、未熔合、成型偏差等内部和外部缺陷。目前,金属增材制造产品的质量检验还是属于完工检验层面,即制品完成后的质量检验。一方面利用尺寸扫描仪对构件外部尺寸进行检验来发现外观缺陷和尺寸偏差;另一方面利用X射线探伤仪对构件内部探伤来检测内部缺陷。但完工检验具有先天的缺陷——不具有实时性。产品一旦出现缺陷即意味着产品的报废或者复杂的返工,造成了巨大的成本浪费。尤其是对一些加工尺寸较大的增材制造件,前期增材制造各层之间的缺陷如未熔合、气孔等若不及时处理会直接影响后期增材制造层间质量,甚至导致整个产品不合格。因此,工业上亟须一种能够在金属增材制造过程中全程监控增材制造过程,并根据增材制造过程实时优化参数的装置,能实现对缺陷的智能预防和实时检测,对已产生了缺陷后及时停机或进行参数调整,从源头上保证金属增材制造件的质量,提高生产效率。However, laser additive manufacturing and arc welding additive manufacturing inevitably have internal and external defects such as pores, cracks, lack of fusion, and forming deviations due to the influence of material properties or characteristic parameters during the manufacturing process. At present, the quality inspection of metal additive manufacturing products still belongs to the level of completion inspection, that is, the quality inspection after the product is completed. On the one hand, the dimension scanner is used to inspect the external dimensions of the components to find appearance defects and dimensional deviations; on the other hand, the X-ray flaw detector is used to detect the internal flaws of the components to detect internal defects. But completion inspection has inherent flaws—it is not real-time. Once a product is defective, it means that the product is scrapped or complicated to rework, resulting in huge cost waste. Especially for some additive manufacturing parts with large processing size, if the defects between the layers of additive manufacturing in the early stage, such as unfused, pores, etc., if not dealt with in time, will directly affect the quality of the interlayer of additive manufacturing in the later stage, and even lead to the failure of the entire product. qualified. Therefore, the industry urgently needs a device that can monitor the additive manufacturing process throughout the metal additive manufacturing process and optimize parameters in real time according to the additive manufacturing process. Shut down or adjust parameters in time after defects, to ensure the quality of metal additive manufacturing parts from the source and improve production efficiency.
目前,对于激光类金属增材制造的过程监控方法尚没有文献资料记载。At present, there are no literature records on the process monitoring method of laser metal additive manufacturing.
而对于金属融焊过程监控侧重于熔道/熔池红外传感法,这是由于熔道/熔池红外信息中包含了温度、尺寸、形状等与质量极其相关的参数。通过分析耦合这些参数可以对熔焊质量进行有效的判断。For the monitoring of metal melting and welding process, the infrared sensing method of melting channel/melting pool is focused on, because the infrared information of melting channel/melting pool includes temperature, size, shape and other parameters that are extremely related to quality. By analyzing and coupling these parameters, the welding quality can be effectively judged.
专利文献CN104741802A公开了一种焊接质量监测系统及方法,所述系统包括焊枪、红外热像仪、图像采集器等,所述方法为用红外热像仪采集激光焊接熔池红外信息并使用计算机分析成像数据参数,实现对焊点质量的评估。但专利文献CN104741802A公开的系统和方法主要针对于激光焊接的过程检测,使用的采集装置为高价的热像仪,且该系统功能主要偏向于监测,缺少了焊接参数反馈环节。Patent document CN104741802A discloses a welding quality monitoring system and method. The system includes a welding torch, an infrared thermal imager, an image collector, etc., and the method is to use an infrared thermal imager to collect infrared information of a laser welding molten pool and use a computer to analyze it. Imaging data parameters to realize the evaluation of solder joint quality. However, the system and method disclosed in the patent document CN104741802A are mainly aimed at the process detection of laser welding, and the acquisition device used is an expensive thermal imager, and the function of the system is mainly biased towards monitoring, and the welding parameter feedback link is missing.
发明内容Contents of the invention
针对现有技术的以上缺陷或改进需求,本发明提供一种基于红外信息的金属增材制造过程控制装置与方法,其目的在于实现金属增材制造全过程的实时质量监测,当缺陷产生后可以及时采取措施,抑制缺陷扩展;当缺陷超过设定标准及时停止操作,便于采取措返工消除层间缺陷,防止产品报废或完工后的返修。In view of the above defects or improvement needs of the prior art, the present invention provides a metal additive manufacturing process control device and method based on infrared information. Take measures in time to suppress the expansion of defects; when the defects exceed the set standard, stop the operation in time, so that it is convenient to take measures to rework to eliminate interlayer defects, and prevent product scrapping or repair after completion.
为了实现上述目的,按照本发明的一个方面,提供一种基于红外信息的金属增材制造过程控制装置,该装置包括:In order to achieve the above object, according to one aspect of the present invention, a process control device for metal additive manufacturing based on infrared information is provided, the device includes:
增材制造操作单元,其一端安装在工作台上,另一端与焊枪或喷嘴链接,用于制造金属工件;Additive manufacturing operating unit, one end of which is mounted on the workbench and the other end is linked to a welding torch or nozzle for the manufacture of metal workpieces;
红外图像信息采集单元,其安装于所述增材制造操作单元靠近焊枪或喷嘴的一端,所述红外图像信息采集单元包括红外采集设备,用于实时采集所述金属工件的熔池及其周边的红外温度场图像;Infrared image information collection unit, which is installed at one end of the additive manufacturing operation unit close to the welding torch or nozzle, the infrared image information collection unit includes infrared collection equipment for real-time collection of the molten pool of the metal workpiece and its surroundings Infrared temperature field image;
图像处理单元,其通过数据总线与所述红外图像信息采集单元连接,用于对所述红外温度场图像进行处理并生成反馈指令;以及An image processing unit, which is connected to the infrared image information acquisition unit through a data bus, and is used to process the infrared temperature field image and generate a feedback instruction; and
反馈控制单元,其通过数据总线一端与所述图像处理单元连接,另一端与所述增材制造操作单元连接,用于根据所述反馈指令控制所述增材制造操作单元,从而对参数进行调整以消除缺陷或者报警停机。A feedback control unit, which is connected to the image processing unit at one end of the data bus, and connected to the additive manufacturing operation unit at the other end, and is used to control the additive manufacturing operating unit according to the feedback instruction, thereby adjusting parameters To eliminate defects or alarm shutdown.
进一步地,所述红外采集设备为红外相机、红外电荷耦合元件、红外传感器或红外热像仪。Further, the infrared collection device is an infrared camera, an infrared charge-coupled device, an infrared sensor or an infrared thermal imager.
进一步地,所述红外采集设备的参数和配置可根据增材制造所选材料和熔池及周边区域温度场进行相应调节与更换,以满足在不同温度范围、不同增材制造速度范围内获取更精确的红外图像。Further, the parameters and configuration of the infrared acquisition device can be adjusted and replaced according to the material selected for additive manufacturing and the temperature field of the molten pool and the surrounding area, so as to meet the needs of different temperature ranges and different additive manufacturing speed ranges. Precise infrared images.
进一步地,所述红外图像信息采集单元还包括散热器,用于降低由于焊接弧光辐射产生的高温,保证所述红外图像信息采集单元正常运作。Further, the infrared image information collection unit also includes a radiator, which is used to reduce the high temperature generated by welding arc radiation, so as to ensure the normal operation of the infrared image information collection unit.
进一步地,所述红外图像信息采集单元还包括图像采集卡,用于将采集的红外温度场图像信息转化为可视的数字信号。Further, the infrared image information acquisition unit further includes an image acquisition card for converting the collected infrared temperature field image information into a visible digital signal.
进一步地,所述红外图像信息采集单元还包括保护壳套,用于将所述红外采集设备、散热器及图像采集卡集成安装于其中,从而保护所述红外采集设备、散热器及图像采集卡不受热源工作时飞溅的损伤,同时能够过滤部分弧光,减少对红外采集设备成像的干扰。Further, the infrared image information acquisition unit also includes a protective shell, which is used to integrate and install the infrared acquisition device, radiator and image acquisition card in it, so as to protect the infrared acquisition device, radiator and image acquisition card It is not damaged by splashing when the heat source is working, and at the same time, it can filter part of the arc light to reduce the interference to the imaging of infrared acquisition equipment.
进一步地,所述图像处理单元包括专家数据库和处理器,用于将所述红外温度场图像与标准稳态温度场的红外图像进行比对,从而将尺寸缺陷直观地反映在所述红外图像的形状上,同时用于将内部缺陷间接地表示为所述红外温度场的深浅颜色和分布特征,从而对所述尺寸缺陷和内部缺陷进行识别,并生成所述反馈指令。Further, the image processing unit includes an expert database and a processor, which are used to compare the infrared temperature field image with the infrared image of the standard steady-state temperature field, so as to intuitively reflect the size defects in the infrared image In terms of shape, it is also used to indirectly represent internal defects as the depth and light color and distribution characteristics of the infrared temperature field, so as to identify the size defects and internal defects, and generate the feedback instruction.
进一步地,所述内部缺陷包括气孔、裂纹、过热或未熔合中的一种或多种。Further, the internal defects include one or more of pores, cracks, overheating or lack of fusion.
按照本发明的另一个方面,提供一种应用所述基于红外信息的金属增材制造过程控制装置的控制方法,该方法包括如下步骤:According to another aspect of the present invention, there is provided a control method for applying the infrared information-based metal additive manufacturing process control device, the method includes the following steps:
S1:将基于红外信息的金属增材制造过程控制装置安装在工作台上,调整好其位置;S1: Install the metal additive manufacturing process control device based on infrared information on the workbench and adjust its position;
S2:设置增材制造的参数,进行金属工件的增材制造;S2: Set the parameters of additive manufacturing, and perform additive manufacturing of metal workpieces;
S3:基于红外信息的金属增材制造过程控制装置开始工作,所述红外采集设备实时采集所述金属工件的熔池及周边区域的红外温度场图像,并同时检测层间温度差;S3: The metal additive manufacturing process control device based on infrared information starts to work, and the infrared acquisition device collects the infrared temperature field image of the molten pool of the metal workpiece and the surrounding area in real time, and simultaneously detects the temperature difference between layers;
S41:所述图像处理系统根据所述红外温度场图像,与标准稳态温度场的红外图像进行比对,对可能出现的如焊瘤、未焊透、过热等缺陷进行检测识别,所述图像处理系统识别出所述缺陷后,对缺陷的级别进行评定;S41: The image processing system compares the image of the infrared temperature field with the infrared image of the standard steady-state temperature field, and detects and identifies possible defects such as weld bumps, incomplete penetration, and overheating. After the processing system has identified said defect, it evaluates the level of the defect;
S411:若所述缺陷超过设定的标准值,则立即结束所述增材制造操作,对所述缺陷采取补救措施,待所述缺陷消除后进行下一层制造;S411: If the defect exceeds the set standard value, immediately end the additive manufacturing operation, take remedial measures for the defect, and proceed to the next layer of manufacturing after the defect is eliminated;
S412:若所述缺陷未超过设定的标准值,则通过所述反馈控制单元对增材制造操作单元的参数进行调控,对所述缺陷进行修补,从而消除所述缺陷,进行下一层制造;S412: If the defect does not exceed the set standard value, adjust the parameters of the additive manufacturing operation unit through the feedback control unit to repair the defect, thereby eliminating the defect and proceed to the next layer of manufacturing ;
S42:所述图像处理系统根据所述层间温度差,与设定标注值进行比对;S42: The image processing system compares the temperature difference between layers with a set label value;
S421:若所述层间温度差在合理的范围内,则通过所述反馈控制单元调整增材制造单元的参数,从而实现后续温度差的稳定;S421: If the interlayer temperature difference is within a reasonable range, adjust the parameters of the additive manufacturing unit through the feedback control unit, so as to realize the stability of the subsequent temperature difference;
S422:若所述层间温度差超出了合理的范围,则结束增材制造操作,采取处理措施。S422: If the interlayer temperature difference exceeds a reasonable range, end the additive manufacturing operation and take processing measures.
进一步地,所述红外温度场图像包括金属工件的表面形貌、成形尺寸、成形缺陷和分层间温度差。Further, the infrared temperature field image includes the surface topography, forming size, forming defects and temperature difference between layers of the metal workpiece.
总体而言,通过本发明所构思的以上技术方案与现有技术相比,能够取得下列有益效果:Generally speaking, compared with the prior art, the above technical solutions conceived by the present invention can achieve the following beneficial effects:
(1)本发明的装置,能够实现金属增材制造全过程的实时质量监测,当缺陷产生后可以及时采取措施,抑制缺陷扩展;当缺陷超过设定标准及时停止操作,便于采取措返工消除层间缺陷,防止产品报废或完工后的返修,形成了一个完整的监测、反馈、调节过程。(1) The device of the present invention can realize the real-time quality monitoring of the whole process of metal additive manufacturing, and can take measures in time to suppress the expansion of defects after defects occur; stop the operation in time when the defects exceed the set standard, and it is convenient to take measures to rework and eliminate layers Interim defects prevent product scrapping or repair after completion, forming a complete monitoring, feedback, and adjustment process.
(2)本发明的装置使得金属增材制造中机器检验代替人工或传统技术的检验成为可能,制造中的整个检验过程实时、可追溯。(2) The device of the present invention makes it possible for machine inspection to replace manual or traditional technology inspection in metal additive manufacturing, and the entire inspection process in manufacturing is real-time and traceable.
(3)本发明的装置的模块集成化可以使得系统具有良好的移植型、适应性。进行某些配置和参数的调整,即可具有将其应用于不同的金属增材制造设备的可能性,可广泛应用于金属增材制造工业生产。(3) The modular integration of the device of the present invention can make the system have good portability and adaptability. By adjusting certain configurations and parameters, it is possible to apply it to different metal additive manufacturing equipment, and it can be widely used in the industrial production of metal additive manufacturing.
(4)相比较利用传感器获取熔池及周边温度等方式,本发明的装置利用红外相机等红外采集设备拍摄熔池及其周边红外温度场,能够真实、准确、直观的反应熔池及其周边区域的几何形貌及温度场分布状况。(4) Compared with methods such as using sensors to obtain the temperature of the molten pool and its surroundings, the device of the present invention uses infrared cameras and other infrared acquisition equipment to photograph the molten pool and its surrounding infrared temperature field, which can truly, accurately and intuitively reflect the molten pool and its surroundings Geometric shape and temperature field distribution of the region.
(5)本发明的方法采取的通过调控增材制造层间温度差来减少金属增材制造件内部应力的方法,科学有效。(5) The method adopted by the method of the present invention is scientific and effective in reducing the internal stress of the metal additive manufacturing part by regulating the temperature difference between the additive manufacturing layers.
附图说明Description of drawings
图1为本发明实施例的一种基于红外信息的金属增材制造过程控制装置的示意图;1 is a schematic diagram of an infrared information-based metal additive manufacturing process control device according to an embodiment of the present invention;
图2为本发明实施例的一种基于红外信息的金属增材制造过程控制方法的逻辑流程图。Fig. 2 is a logic flow chart of an infrared information-based metal additive manufacturing process control method according to an embodiment of the present invention.
图1中,相同的附图标记表示相同的元件,其中:1-红外采集设备,2-保护壳套,3-散热器,4-辅助电源,5-图像采集卡、6-固定机构、7-数据总线、8-显示器、9-图像处理单元、10-反馈控制单元,11-喷嘴或焊枪,12-工件,13-精密工作台。In Fig. 1, the same reference numerals represent the same components, wherein: 1-infrared acquisition device, 2-protective shell, 3-radiator, 4-auxiliary power supply, 5-image acquisition card, 6-fixing mechanism, 7 -data bus, 8-display, 9-image processing unit, 10-feedback control unit, 11-nozzle or welding torch, 12-workpiece, 13-precision workbench.
具体实施方式detailed description
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本发明进行进一步详细说明。应当理解,此处所描述的具体实施例仅用以解释本发明,并不用于限定本发明。此外,下面所描述的本发明各个实施方式中所涉及到的技术特征只要彼此之间未构成冲突就可以相互组合。In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
图1为本发明实施例的一种基于红外信息的金属增材制造过程控制装置的示意图。如图1所示,该系统包括:红外采集设备1、保护壳套2、散热器3、辅助电源4、图像采集卡5、固定机构6、数据总线7、显示器8、图像处理单元9、反馈控制单元10、喷嘴或焊枪11、工件12和精密工作台13。Fig. 1 is a schematic diagram of an infrared information-based metal additive manufacturing process control device according to an embodiment of the present invention. As shown in Figure 1, the system includes: infrared acquisition device 1, protective case 2, radiator 3, auxiliary power supply 4, image acquisition card 5, fixing mechanism 6, data bus 7, display 8, image processing unit 9, feedback Control unit 10 , nozzle or torch 11 , workpiece 12 and precision table 13 .
如图1所示,红外采集设备1与散热系统3、辅助电源4、图像采集卡5集成安装在保护壳套2内。红外采集设备1用于实时采集熔池及其周边的红外温度场图像;散热系统3用于降低由于弧光辐射产生的高温,保证其他部件正常运作;辅助电源4用在特殊条件下保持相机及其他部件正常工作;图像采集卡5用于将采集的红外温度场图像信息转化为可视的数字信号;保护壳套2用于保护相机镜头和其他部件不受热源工作时飞溅的损伤,同时能够过滤部分弧光,减少对红外相机成像的干扰。As shown in FIG. 1 , an infrared acquisition device 1 is integrated with a heat dissipation system 3 , an auxiliary power supply 4 , and an image acquisition card 5 and is installed in a protective shell 2 . The infrared acquisition device 1 is used to collect the infrared temperature field images of the molten pool and its surroundings in real time; the heat dissipation system 3 is used to reduce the high temperature caused by arc radiation and ensure the normal operation of other components; the auxiliary power supply 4 is used to maintain the camera and other components under special conditions. The components work normally; the image acquisition card 5 is used to convert the collected infrared temperature field image information into a visible digital signal; the protective shell 2 is used to protect the camera lens and other components from splash damage when the heat source is working, and can filter Partial arc light reduces interference to infrared camera imaging.
在本发明的优选实施例中,所示红外采集设备1为红外相机、红外电荷耦合元件、红外热像仪或红外传感器等。In a preferred embodiment of the present invention, the infrared acquisition device 1 shown is an infrared camera, an infrared charge-coupled device, an infrared thermal imager, or an infrared sensor.
如图1所示,数据总线7将采集的红外温度场图像采集卡5和图像处理单元9连接。数据总线7用于传输数字信号;图像处理单元9用于将采集的红外温度场图像与标准稳态温度场的红外图像进行比对,对于成型偏差等尺寸缺陷可以直观反映在红外图像的形状上,如温度场出现弯曲,不连续等现象;对于气孔、裂纹、未熔合等内部缺陷可以间接由红外温度场的颜色深浅程度和分布特征来加以判别。基于图像处理系统9对缺陷的识别,做出相应反馈指令,及时报警停机或者对参数进行调整以消除缺陷。As shown in FIG. 1 , the data bus 7 connects the collected infrared temperature field image acquisition card 5 and the image processing unit 9 . The data bus 7 is used to transmit digital signals; the image processing unit 9 is used to compare the collected infrared temperature field image with the infrared image of the standard steady-state temperature field, and the size defects such as molding deviation can be intuitively reflected on the shape of the infrared image , such as bending and discontinuity in the temperature field; internal defects such as pores, cracks, and lack of fusion can be judged indirectly by the color depth and distribution characteristics of the infrared temperature field. Based on the recognition of defects by the image processing system 9 , corresponding feedback instructions are given, and timely alarms are issued to shut down or parameters are adjusted to eliminate defects.
在本发明的优选实施例中,所述内部缺陷包括气孔、裂纹、过热或未熔合中的一种或多种。In a preferred embodiment of the present invention, the internal defects include one or more of pores, cracks, overheating or lack of fusion.
如图1所示,图像处理系统9通过数据总线7与反馈控制单元11相连接。图像处理系统9分析缺陷后发出的指令;所述反馈控制单元11控制操作所述增材制造操作单元,从而对参数进行调整以消除缺陷或者报警停机。As shown in FIG. 1 , the image processing system 9 is connected to a feedback control unit 11 through a data bus 7 . An instruction issued by the image processing system 9 after analyzing the defect; the feedback control unit 11 controls and operates the additive manufacturing operation unit, so as to adjust the parameters to eliminate the defect or give an alarm to shut down.
本发明基于红外信息的金属增材制造过程控制装置,实现了对增材制造过程进行表面形貌、成形尺寸、成形缺陷的实时监测,分层间温度差的实时检测和调整,实时识别增材制造缺陷并警报,并可全程记录增材制造工程用于产品追溯。此外,本发明的装置可应用于各种激光类的金属增材制造和熔池可见的熔化极和非熔化极的金属增材制造的质量控制过程中,解决了现有增材制造中不能对金属增材制造全过程进行控制的问题。The infrared information-based metal additive manufacturing process control device of the present invention realizes real-time monitoring of surface topography, forming dimensions, and forming defects in the additive manufacturing process, real-time detection and adjustment of temperature differences between layers, and real-time identification of additive manufacturing. Manufacturing defects are alerted, and the additive manufacturing process can be recorded throughout the process for product traceability. In addition, the device of the present invention can be applied to the quality control process of metal additive manufacturing of various lasers and metal additive manufacturing of molten and non-melted electrodes visible in the molten pool, which solves the problem that cannot be controlled in existing additive manufacturing. The problem of controlling the whole process of metal additive manufacturing.
本发明一种基于红外信息的金属增材制造过程控制方法的一个实施例,通过上述一种基于红外信息的金属增材制造过程控制装置进行。图2为本发明实施例的一种基于红外信息的金属增材制造过程控制方法的逻辑流程图。如图2所示,该方法包括如下步骤:An embodiment of an infrared information-based metal additive manufacturing process control method of the present invention is performed by the above-mentioned infrared information-based metal additive manufacturing process control device. Fig. 2 is a logic flow chart of an infrared information-based metal additive manufacturing process control method according to an embodiment of the present invention. As shown in Figure 2, the method includes the following steps:
(1)增材制造之前的准备工作,包括本装置的安装固定等。(1) Preparatory work before additive manufacturing, including installation and fixation of the device.
(2)准备完毕后,设置增材制造的参数,进行增材制造。(2) After the preparation is completed, set the parameters of additive manufacturing and perform additive manufacturing.
(3)同时,基于红外信息的金属增材制造过程控制装置开始工作。此时,红外相机1实时采集熔池及周边区域的形貌和红外温度场信息。(3) At the same time, the metal additive manufacturing process control device based on infrared information starts to work. At this time, the infrared camera 1 collects the morphology and infrared temperature field information of the molten pool and surrounding areas in real time.
(4)监测分为熔池及其周边区域的检测和层间温度差检测两个并行的进程。(4) The monitoring is divided into two parallel processes: the detection of the molten pool and its surrounding area and the detection of the temperature difference between layers.
(41)熔池检测进程负责判断熔池及周边区域温度场分布是否正常,主要根据形貌特征分析、温度场检测、标准温度场比对等方式对可能出现的如焊瘤、未焊透、过热等缺陷进行检测识别;系统检测出缺陷后,系统会对缺陷的级别进行评定,若缺陷超标则立即结束制造过程,对缺陷采取措施,保证缺陷消除后进行下一层制造;若缺陷未超标,则会根据缺陷出现的原因对增材制造设备参数进行调控;(41) The molten pool inspection process is responsible for judging whether the temperature field distribution in the molten pool and its surrounding areas is normal, mainly based on the analysis of morphology characteristics, temperature field detection, standard temperature field comparison, etc. Defects such as overheating are detected and identified; after the system detects the defect, the system will evaluate the level of the defect. If the defect exceeds the standard, the manufacturing process will be terminated immediately, and measures will be taken to ensure that the defect is eliminated before proceeding to the next layer of manufacturing; if the defect does not exceed the standard , the parameters of the additive manufacturing equipment will be adjusted according to the cause of the defect;
(42)层间温度差进程负责检测相邻增材制造层间的温度差是否正常。若不正常,同样会根据标准判断是否合理;若层间温度差在合理的范围类,则调整增材制造参数以达到后续温度差的稳定;若温度差超出标准范围,则结束增材制造,采取处理措施。(42) The interlayer temperature difference process is responsible for detecting whether the temperature difference between adjacent additive manufacturing layers is normal. If it is not normal, it will also judge whether it is reasonable according to the standard; if the temperature difference between layers is within a reasonable range, adjust the additive manufacturing parameters to achieve the stability of the subsequent temperature difference; if the temperature difference exceeds the standard range, end the additive manufacturing, Take measures.
在本发明的优选实施例中,所述增材制造的参数包括电流、电压、速度、喷粉/送丝量或保护气中的一种或多种。In a preferred embodiment of the present invention, the parameters of the additive manufacturing include one or more of current, voltage, speed, powder/wire feeding amount or shielding gas.
在本发明的优选实施例中,所述红外温度场图像包括金属工件的表面形貌、成形尺寸、成形缺陷以和分层间温度差。In a preferred embodiment of the present invention, the infrared temperature field image includes the surface topography, forming dimensions, forming defects, and temperature difference between layers of the metal workpiece.
本发明的技术方案中,实施例中给出了效果较优的红外采集设备,但本发明不限于实施例中给出的红外相机,红外采集设备包括红外相机、红外电荷耦合元件、红外传感器或红外热像仪,具体的红外采集设备根据实际情况确定。In the technical solution of the present invention, the infrared acquisition device with better effect is given in the embodiment, but the present invention is not limited to the infrared camera provided in the embodiment, and the infrared acquisition device includes an infrared camera, an infrared charge-coupled element, an infrared sensor or Infrared thermal imager, the specific infrared acquisition equipment is determined according to the actual situation.
本发明基于红外信息的金属增材制造过程控制方法,提出了金属增材制造实时参数调整的控制方法,减少了增材制造产品的残次品率以及后期加工处理的工作量,提高了生产效率。The invention is based on the infrared information-based metal additive manufacturing process control method, and proposes a control method for metal additive manufacturing real-time parameter adjustment, which reduces the defective product rate of additive manufacturing products and the workload of post-processing, and improves production efficiency. .
本领域的技术人员容易理解,以上所述仅为本发明的较佳实施例而已,并不用以限制本发明,凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等,均应包含在本发明的保护范围之内。Those skilled in the art can easily understand that the above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention, All should be included within the protection scope of the present invention.
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610941408.8A CN106404795A (en) | 2016-10-26 | 2016-10-26 | Infrared information-based metal additive manufacturing process control apparatus and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610941408.8A CN106404795A (en) | 2016-10-26 | 2016-10-26 | Infrared information-based metal additive manufacturing process control apparatus and method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106404795A true CN106404795A (en) | 2017-02-15 |
Family
ID=58012832
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610941408.8A Pending CN106404795A (en) | 2016-10-26 | 2016-10-26 | Infrared information-based metal additive manufacturing process control apparatus and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106404795A (en) |
Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106990114A (en) * | 2017-06-06 | 2017-07-28 | 清华大学天津高端装备研究院 | Increasing material manufacturing defect inspection method and increasing material manufacturing device |
CN107234351A (en) * | 2017-07-12 | 2017-10-10 | 温州大学激光与光电智能制造研究院 | Closed loop laser processing quality control device and method based on molten bath splashing detection |
CN107378251A (en) * | 2017-05-31 | 2017-11-24 | 广东工业大学 | A kind of destressing laser-impact of band large-scale metal part forges surface repairing method and device |
CN107402044A (en) * | 2017-07-28 | 2017-11-28 | 华中科技大学 | A kind of online nondestructive detection system of metal increasing material manufacturing component quality and method |
CN107688028A (en) * | 2017-08-08 | 2018-02-13 | 大连理工大学 | A kind of laser gain material manufactures overlapping rate on-line monitoring method |
CN107807568A (en) * | 2017-10-27 | 2018-03-16 | 中国电子产品可靠性与环境试验研究所 | Increasing material manufacturing monitoring system, method, apparatus and increasing material manufacturing equipment |
CN108489986A (en) * | 2018-03-19 | 2018-09-04 | 长沙理工大学 | A kind of increasing material manufacturing on-line checking and restorative procedure |
CN108788153A (en) * | 2018-08-27 | 2018-11-13 | 西安空天能源动力智能制造研究院有限公司 | A kind of melt-processed process real-time quality monitoring device in selective laser and method |
CN108956611A (en) * | 2017-09-14 | 2018-12-07 | 清华大学 | SLM process component surface layer Energy distribution monitoring device and method |
CN109085178A (en) * | 2018-08-28 | 2018-12-25 | 武汉科技大学 | An Accurate Online Monitoring Method and Feedback Strategy of Defect Fingerprints for Additive Manufacturing |
CN109202073A (en) * | 2017-06-30 | 2019-01-15 | 通用电气公司 | System and method for advanced increasing material manufacturing |
CN109202074A (en) * | 2017-06-30 | 2019-01-15 | 通用电气公司 | System and method for advanced increasing material manufacturing |
CN109352179A (en) * | 2018-11-30 | 2019-02-19 | 上海航天精密机械研究所 | The weld strength control method of magnesium alloy multilayer multiple tracks laser overlaying welding |
CN109487267A (en) * | 2018-12-18 | 2019-03-19 | 华侨大学 | A kind of Intelligent Laser reproducing method and system |
CN109530918A (en) * | 2018-12-28 | 2019-03-29 | 西安增材制造国家研究院有限公司 | One kind is based on coaxial wire feed increasing material manufacturing system and forming method in laser light |
CN109604773A (en) * | 2018-11-16 | 2019-04-12 | 南京理工大学 | Method and device for monitoring inner wall temperature during non-melting electrode arc cylinder surfacing welding |
CN109676135A (en) * | 2018-11-28 | 2019-04-26 | 大连理工大学 | A kind of laser gain material manufacture vision grey value difference on-line monitoring and bug repairing apparatus |
CN110954542A (en) * | 2019-12-11 | 2020-04-03 | 深圳先进技术研究院 | Defect detection device, defect detection system and defect detection method for additive manufacturing |
CN111121972A (en) * | 2019-12-20 | 2020-05-08 | 东南大学 | Device for online monitoring of local dry-method additive temperature and height |
CN111531026A (en) * | 2020-05-21 | 2020-08-14 | 西安邮电大学 | an incremental forming system |
CN111626988A (en) * | 2020-04-30 | 2020-09-04 | 南京理工大学 | Stable state judgment method for GTA fuse additive manufacturing process based on weak arc light feature extraction |
CN111790910A (en) * | 2020-07-07 | 2020-10-20 | 南京理工大学 | A method for feedback and adjustment of defects in laser powder bed fusion forming parts |
CN112317763A (en) * | 2020-09-11 | 2021-02-05 | 山东科技大学 | Ultrasonic-assisted metal micro-spray molten drop deposition forming device and method |
CN113358698A (en) * | 2021-06-11 | 2021-09-07 | 中国计量大学 | Concrete filled steel tube void detection system and method |
CN114144270A (en) * | 2019-07-24 | 2022-03-04 | 株式会社荏原制作所 | AM device |
CN115165894A (en) * | 2022-06-22 | 2022-10-11 | 广东工业大学 | An online detection method for laser additive manufacturing |
CN117583698A (en) * | 2024-01-19 | 2024-02-23 | 中建材(合肥)粉体科技装备有限公司 | An automatic surfacing device and surfacing control method |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102967374A (en) * | 2012-11-16 | 2013-03-13 | 中国航空工业集团公司北京航空制造工程研究所 | Method for measuring temperature field in laser welding process |
CN104977305A (en) * | 2015-06-29 | 2015-10-14 | 华中科技大学 | Welding quality analysis device based on infrared vision and analysis method thereof |
CN206177838U (en) * | 2016-10-26 | 2017-05-17 | 华中科技大学 | Metal vibration material disk process control device based on infrared information |
-
2016
- 2016-10-26 CN CN201610941408.8A patent/CN106404795A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102967374A (en) * | 2012-11-16 | 2013-03-13 | 中国航空工业集团公司北京航空制造工程研究所 | Method for measuring temperature field in laser welding process |
CN104977305A (en) * | 2015-06-29 | 2015-10-14 | 华中科技大学 | Welding quality analysis device based on infrared vision and analysis method thereof |
CN206177838U (en) * | 2016-10-26 | 2017-05-17 | 华中科技大学 | Metal vibration material disk process control device based on infrared information |
Non-Patent Citations (1)
Title |
---|
陈国清等, 西安电子科技大学出版社 * |
Cited By (42)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107378251B (en) * | 2017-05-31 | 2019-10-29 | 广东工业大学 | A kind of destressing laser-impact of band large-scale metal part forges surface repairing method and device |
CN107378251A (en) * | 2017-05-31 | 2017-11-24 | 广东工业大学 | A kind of destressing laser-impact of band large-scale metal part forges surface repairing method and device |
CN106990114A (en) * | 2017-06-06 | 2017-07-28 | 清华大学天津高端装备研究院 | Increasing material manufacturing defect inspection method and increasing material manufacturing device |
CN106990114B (en) * | 2017-06-06 | 2023-10-31 | 清华大学天津高端装备研究院 | Additive manufacturing defect detection method and additive manufacturing device |
US11027535B2 (en) | 2017-06-30 | 2021-06-08 | General Electric Company | Systems and method for advanced additive manufacturing |
CN109202073A (en) * | 2017-06-30 | 2019-01-15 | 通用电气公司 | System and method for advanced increasing material manufacturing |
CN118848024A (en) * | 2017-06-30 | 2024-10-29 | 通用电气公司 | Systems and methods for advanced additive manufacturing |
CN109202074A (en) * | 2017-06-30 | 2019-01-15 | 通用电气公司 | System and method for advanced increasing material manufacturing |
CN107234351A (en) * | 2017-07-12 | 2017-10-10 | 温州大学激光与光电智能制造研究院 | Closed loop laser processing quality control device and method based on molten bath splashing detection |
CN107234351B (en) * | 2017-07-12 | 2018-10-19 | 温州大学激光与光电智能制造研究院 | Closed loop laser processing quality control device and method based on molten bath splashing detection |
CN107402044A (en) * | 2017-07-28 | 2017-11-28 | 华中科技大学 | A kind of online nondestructive detection system of metal increasing material manufacturing component quality and method |
CN107402044B (en) * | 2017-07-28 | 2019-11-22 | 华中科技大学 | An online non-destructive testing system and method for the quality of metal additive manufacturing components |
CN107688028A (en) * | 2017-08-08 | 2018-02-13 | 大连理工大学 | A kind of laser gain material manufactures overlapping rate on-line monitoring method |
CN107688028B (en) * | 2017-08-08 | 2020-07-14 | 大连理工大学 | Laser additive manufacturing lap joint rate online monitoring method |
CN108956611A (en) * | 2017-09-14 | 2018-12-07 | 清华大学 | SLM process component surface layer Energy distribution monitoring device and method |
CN108956611B (en) * | 2017-09-14 | 2021-04-20 | 清华大学 | Device and method for monitoring surface energy distribution of components during SLM processing |
CN107807568A (en) * | 2017-10-27 | 2018-03-16 | 中国电子产品可靠性与环境试验研究所 | Increasing material manufacturing monitoring system, method, apparatus and increasing material manufacturing equipment |
CN108489986B (en) * | 2018-03-19 | 2021-03-26 | 长沙理工大学 | A method for online detection and repair of additive manufacturing |
CN108489986A (en) * | 2018-03-19 | 2018-09-04 | 长沙理工大学 | A kind of increasing material manufacturing on-line checking and restorative procedure |
CN108788153A (en) * | 2018-08-27 | 2018-11-13 | 西安空天能源动力智能制造研究院有限公司 | A kind of melt-processed process real-time quality monitoring device in selective laser and method |
CN109085178A (en) * | 2018-08-28 | 2018-12-25 | 武汉科技大学 | An Accurate Online Monitoring Method and Feedback Strategy of Defect Fingerprints for Additive Manufacturing |
CN109085178B (en) * | 2018-08-28 | 2021-02-12 | 武汉科技大学 | Defect fingerprint accurate online monitoring and feedback method for additive manufacturing |
CN109604773A (en) * | 2018-11-16 | 2019-04-12 | 南京理工大学 | Method and device for monitoring inner wall temperature during non-melting electrode arc cylinder surfacing welding |
CN109676135A (en) * | 2018-11-28 | 2019-04-26 | 大连理工大学 | A kind of laser gain material manufacture vision grey value difference on-line monitoring and bug repairing apparatus |
CN109352179A (en) * | 2018-11-30 | 2019-02-19 | 上海航天精密机械研究所 | The weld strength control method of magnesium alloy multilayer multiple tracks laser overlaying welding |
CN109487267A (en) * | 2018-12-18 | 2019-03-19 | 华侨大学 | A kind of Intelligent Laser reproducing method and system |
CN109530918A (en) * | 2018-12-28 | 2019-03-29 | 西安增材制造国家研究院有限公司 | One kind is based on coaxial wire feed increasing material manufacturing system and forming method in laser light |
CN114144270A (en) * | 2019-07-24 | 2022-03-04 | 株式会社荏原制作所 | AM device |
US20220258248A1 (en) * | 2019-07-24 | 2022-08-18 | Ebara Corporation | Am apparatus |
CN110954542A (en) * | 2019-12-11 | 2020-04-03 | 深圳先进技术研究院 | Defect detection device, defect detection system and defect detection method for additive manufacturing |
CN111121972A (en) * | 2019-12-20 | 2020-05-08 | 东南大学 | Device for online monitoring of local dry-method additive temperature and height |
CN111121972B (en) * | 2019-12-20 | 2021-03-16 | 东南大学 | Device for online monitoring of local dry-method additive temperature and height |
CN111626988A (en) * | 2020-04-30 | 2020-09-04 | 南京理工大学 | Stable state judgment method for GTA fuse additive manufacturing process based on weak arc light feature extraction |
CN111531026A (en) * | 2020-05-21 | 2020-08-14 | 西安邮电大学 | an incremental forming system |
CN111790910A (en) * | 2020-07-07 | 2020-10-20 | 南京理工大学 | A method for feedback and adjustment of defects in laser powder bed fusion forming parts |
CN111790910B (en) * | 2020-07-07 | 2021-09-28 | 南京理工大学 | Method for feeding back and adjusting defects of fused forming part of laser powder bed |
CN112317763A (en) * | 2020-09-11 | 2021-02-05 | 山东科技大学 | Ultrasonic-assisted metal micro-spray molten drop deposition forming device and method |
CN113358698A (en) * | 2021-06-11 | 2021-09-07 | 中国计量大学 | Concrete filled steel tube void detection system and method |
CN115165894A (en) * | 2022-06-22 | 2022-10-11 | 广东工业大学 | An online detection method for laser additive manufacturing |
CN117583698A (en) * | 2024-01-19 | 2024-02-23 | 中建材(合肥)粉体科技装备有限公司 | An automatic surfacing device and surfacing control method |
CN117583698B (en) * | 2024-01-19 | 2024-04-26 | 中建材(合肥)粉体科技装备有限公司 | Automatic surfacing device and surfacing control method |
WO2024250699A1 (en) * | 2024-01-19 | 2024-12-12 | 中建材(合肥)粉体科技装备有限公司 | Automatic surfacing device and surfacing control method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106404795A (en) | Infrared information-based metal additive manufacturing process control apparatus and method | |
CN206177838U (en) | Metal vibration material disk process control device based on infrared information | |
CN107175329B (en) | A 3D printing device and method for layer-by-layer detection and reverse part model and defect location | |
CN110678281B (en) | Three-dimensional laminated molding device, three-dimensional laminated molding method, and three-dimensional laminated molded article | |
CN107598163B (en) | A quality non-destructive online testing equipment and method suitable for powder-spreading additive manufacturing | |
CN111735850B (en) | Scanning type circuit board solder joint insufficient solder joint automatic detection system and detection method | |
CN108489986A (en) | A kind of increasing material manufacturing on-line checking and restorative procedure | |
JP2017106908A (en) | System for automated in-process inspection of welds | |
CN107102061A (en) | High-energy beam addition and subtraction of metal materials-on-line laser ultrasonic testing composite processing method | |
Vasudevan et al. | Real-time monitoring of weld pool during GTAW using infra-red thermography and analysis of infra-red thermal images | |
CN207205270U (en) | A kind of 3D printing successively detects reverse part model and positioning defect device | |
JP6945470B2 (en) | Manufacturing system of additional model and manufacturing method of additional model | |
CN103231162A (en) | Device and method for visual detection of welding quality of robot | |
CN208495799U (en) | A kind of off-axis monitoring device of melt-processed process in selective laser | |
Carl | Monitoring system for the quality assessment in additive manufacturing | |
JP5679912B2 (en) | Welding abnormality detection method and welding abnormality detection device | |
EP3659727A1 (en) | Method for automatic identification of material deposition deficiencies during an additive manufacturing process and manufacturing device | |
Modaresialam et al. | In-situ monitoring and defect detection of selective laser melting process and impact of process parameters on the quality of fabricated SS 316L | |
JP2006177892A (en) | Defect detecting method and device of press component | |
CN118023670A (en) | Overall process quality assurance method from pre-welding to welding-post-welding | |
Usha | In situ monitoring of metal additive manufacturing process: a review | |
CN111790910B (en) | Method for feeding back and adjusting defects of fused forming part of laser powder bed | |
CN113245687B (en) | Friction stir welding system with rotation speed intelligently controlled | |
CN115106539A (en) | Integrated control method and system for adding and subtracting materials | |
Dellarre et al. | Qualify a near-infrared camera to detect thermal deviation during aluminum alloy Wire Arc Additive Manufacturing |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170215 |
|
WD01 | Invention patent application deemed withdrawn after publication |