CN102172990A - Method for predicting surface roughness in single-point diamond turning - Google Patents
Method for predicting surface roughness in single-point diamond turning Download PDFInfo
- Publication number
- CN102172990A CN102172990A CN2011100046425A CN201110004642A CN102172990A CN 102172990 A CN102172990 A CN 102172990A CN 2011100046425 A CN2011100046425 A CN 2011100046425A CN 201110004642 A CN201110004642 A CN 201110004642A CN 102172990 A CN102172990 A CN 102172990A
- Authority
- CN
- China
- Prior art keywords
- workpiece
- cutter
- surface roughness
- relative vibration
- curve
- 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.)
- Granted
Links
- 230000003746 surface roughness Effects 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000007516 diamond turning Methods 0.000 title claims abstract description 13
- 230000000694 effects Effects 0.000 claims abstract description 30
- 238000012545 processing Methods 0.000 claims abstract description 22
- 239000000284 extract Substances 0.000 claims abstract description 17
- 239000000463 material Substances 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 6
- 238000003754 machining Methods 0.000 claims abstract description 5
- 230000010355 oscillation Effects 0.000 claims description 12
- 238000002474 experimental method Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 6
- 229910003460 diamond Inorganic materials 0.000 claims description 4
- 239000010432 diamond Substances 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Landscapes
- Milling Processes (AREA)
- Numerical Control (AREA)
Abstract
一种单点金刚石车削加工中表面粗糙度的预测方法。一种表面粗糙度的预测方法，具体涉及一种单点金刚石车削加工中表面粗糙度的预测方法。本发明为了解决现有表面粗糙度预测方法预测误差较大的问题。本发明通过从已加工表面的检测结果提取加工过程中刀具和工件间相对振动的幅值信息，建立主轴转速和材料特性与相对振动和膨胀效应的对应关系，计算发生膨胀效应后加工表面的轮廓曲线，由特定加工材料和主轴转速找到对应的等效振幅，从而得到刀具、工件间的等效相对振动，将等效相对振动与发生膨胀效应后加工表面的轮廓曲线进行叠加可得到新的表面轮廓曲线，并对新曲线进行数据处理计算出表面粗糙度。本发明用于预测单点金刚石车削加工中表面粗糙度。A Prediction Method for Surface Roughness in Single-Point Diamond Turning Machining. A method for predicting surface roughness, in particular to a method for predicting surface roughness in single-point diamond turning. The invention aims to solve the problem that the prediction error of the existing surface roughness prediction method is relatively large. The invention extracts the amplitude information of the relative vibration between the tool and the workpiece during the processing process from the detection results of the processed surface, establishes the corresponding relationship between the spindle speed and material properties, the relative vibration and the expansion effect, and calculates the profile of the processed surface after the expansion effect occurs Curve, the corresponding equivalent amplitude is found from the specific processing material and spindle speed, so as to obtain the equivalent relative vibration between the tool and the workpiece, and the new surface can be obtained by superimposing the equivalent relative vibration and the contour curve of the processed surface after the expansion effect occurs Contour curve, and perform data processing on the new curve to calculate the surface roughness. The invention is used to predict surface roughness in single point diamond turning.
Description
Technical field
The present invention relates to a kind of Forecasting Methodology of surface roughness, be specifically related to the Forecasting Methodology of surface roughness in a kind of single-point diamond turning processing.
Background technology
General little cutting-in, low feeding and the high rotating speed of adopting of single-point diamond turning processing, to guarantee nano level surface roughness, but material is removed and the surperficial very complexity of mechanism that forms in the process, at present, in single-point diamond turning processing in the surface roughness Study on Forecast, the basic thought of setting up shaggy Forecasting Methodology based on cutting theory is based under certain assumed condition theoretical roughness of surface and cutter is superposeed with relative vibration between workpiece, and there is following problem in existing Forecasting Methodology:
1, the relative vibration between cutter and workpiece is in lathe idle running and do not carry out predicting under the machining condition, so it can not be reflected in the relative vibration information between cutter and workpiece in the actual processing really.
2, material behavior and the cutting parameter influence to vibrating that does not have consideration to be cut to cutter and workpiece.
3, the calculating of theoretical roughness of surface is considered from geometric point of view purely, but in the actual working angles, because complicated variations such as the elasticity that material takes place recovery and plastic deformation, the height of the residual region of the reflection reality that the theoretical roughness of surface that calculates from geometric angle can not be correct purely.
4, do not consider that material behavior and cutting parameter recover elasticity in the working angles and the influence of plastic deformation.
Because the existence of the problems referred to above, the predicated error of existing Forecasting Methodology is bigger, and the predicated error of Ra value is about 10%.
Summary of the invention
The present invention has the bigger problem of surface roughness Forecasting Methodology error now for solving, and then proposes the Forecasting Methodology of surface roughness in a kind of single-point diamond turning processing.
The present invention addresses the above problem the technical scheme of being taked to be: the establishment step of the Forecasting Methodology of a kind of single-point diamond turning machined surface roughness of the present invention is as follows:
Step 1, choose typical workpiece for measurement material, change feeding rotating speed, the speed of mainshaft and back engagement of the cutting edge contrived experiment scheme, on ultra-precision machine tool, carry out single-point diamond machining experiment in advance;
Step 3 (one), according to the surface outline curves and the data that detect, outermost with the processing work end face is that radial diameter maximum place is that initial point is set up X, Z coordinate system, extract point of a knife and radially representing in the actual process the relative reflection of vibrating radially between cutter and workpiece with respect to the profile of workpiece, X-direction is the tool feeding direction, Z-direction is a cutter cutting-in direction, and then radially the number of cutter profile is:
Wherein L is for radially detecting length, and s is the amount of feeding of cutter revolution, and the number that extracts data from the detection curve of machined surface also is N;
Coordinate is x on the X-axis of step 3 (two), extraction data
i=x
1+ (i-1) Δ x=x
1+ (i-1) s (2), i=1 wherein, 2 ..., N, thus the point of a knife coordinate data that can obtain extracting is (x
i, Z
i(x
i)), the contour curve of relative vibration is between the cutter that extracts from machined surface and workpiece: Z
m(x
i)=Z
i(x
i)-min (Z
i(x
i)) (3), i=1 wherein, 2 ..., N-1, the surface roughness that the contour curve of above-mentioned relative vibration causes:
I=1 wherein, 2 ..., N;
Step 3 (three), the relative vibration equivalence between cutter and workpiece is simple harmonic oscillation, the equation of establishing its simple harmonic oscillation is:
Its discretization can be obtained:
Δ x=1/40f wherein, i=1,2 ..., N, N=L/ Δ x, the surface roughness that then equivalent simple harmonic oscillation causes is:
The relative vibration equivalence is that two to vibrate the surface roughness that causes identical for the principle of simple harmonic oscillation between cutter and workpiece, i.e. Ra
h=Ra
m(8);
Equivalent amplitude is found the solution in step 3 (four), through type (4), (7) and (8)
Value,
Be in the actual processing amplitude information of relative vibration between cutter and workpiece;
The invention has the beneficial effects as follows: the present invention extracts the relative vibration information of cutter and Tool Room from machined surface, and consideration bulking effect his-and-hers watches The surface roughness affected, the notion of expansion ratio is proposed, thereby effectively improved the precision of prediction of surface roughness, the consensus forecast error of Ra value is 5.1%.
Description of drawings
Fig. 1 extracts nose profile curve and data from machined surface, Fig. 2 is that (a represents to take place the finished surface after elasticity is recovered to bulking effect his-and-hers watches The surface roughness affected, b represents to take place the finished surface after plasticity flows, c representation theory finished surface), Fig. 3 is the theoretical finished surface (amount of feeding of s-revolution, R-cutter radius of corner, Rt-is the residual height of tool margin ideally), Fig. 4 is the flow chart of Roughness Model, Fig. 5 is the ideal surfaced under the machined parameters among the embodiment one, Fig. 6 is the detection surface of NiP, Fig. 7 is the detection surface of Cu, Fig. 8 is to be 1000r/min in the speed of mainshaft, back engagement of the cutting edge is 2 μ m, under the different feed speeds, (dotted line is a predicted value in the contrast of caluclate table surface roughness and real surface roughness, solid line is a predicted value), Fig. 9 is to be 1000r/min in the speed of mainshaft, feed speed is 40mm/min, under different back engagement of the cutting edge, (dotted line is a predicted value in the contrast of caluclate table surface roughness and real surface roughness, solid line is a predicted value) Figure 10 is that outermost with the processing work end face is that radial diameter maximum place is that initial point is set up X, (wherein A is a cutting direction to the Z coordinate system, B is a direction of feed, C is a cutter, workpiece vibrates relatively, D is a workpiece, and E is a diamond cutter).
The specific embodiment
The specific embodiment one: shown in Fig. 1-10, the establishment step of the described a kind of single-point diamond turning machined surface roughness Forecasting Methodology of present embodiment is as follows:
Step 1, choose typical workpiece for measurement material, change feeding rotating speed, the speed of mainshaft and back engagement of the cutting edge contrived experiment scheme, on ultra-precision machine tool, carry out single-point diamond machining experiment in advance;
Step 3 (one), according to the surface outline curves and the data that detect, outermost with the processing work end face is that radial diameter maximum place is that initial point is set up X, Z coordinate system, extract point of a knife and radially representing in the actual process the relative reflection of vibrating radially between cutter and workpiece with respect to the profile of workpiece, X-direction is the tool feeding direction, Z-direction is a cutter cutting-in direction, and then radially the number of cutter profile is:
Wherein L is for radially detecting length, and s is the amount of feeding of cutter revolution, and the number that extracts data from the detection curve of machined surface also is N;
Coordinate is x on the X-axis of step 3 (two), extraction data
i=x
1+ (i-1) Δ x=x
1+ (i-1) s (2), i=1 wherein, 2 ..., N, thus the point of a knife coordinate data that can obtain extracting is (x
i, Z
i(x
i)), the contour curve of relative vibration is between the cutter that extracts from machined surface and workpiece: Z
m(x
i)=Z
i(x
i)-min (Z
i(x
i)) (3), i=1 wherein, 2 ..., N-1, the surface roughness that the contour curve of above-mentioned relative vibration causes:
I=1 wherein, 2 ..., N;
Step 3 (three), the relative vibration equivalence between cutter and workpiece is simple harmonic oscillation, the equation of establishing its simple harmonic oscillation is:
Its discretization can be obtained:
Δ x=1/40f wherein, i=1,2 ..., N, N=L/ Δ x, the surface roughness that then equivalent simple harmonic oscillation causes is:
The relative vibration equivalence is that two to vibrate the surface roughness that causes identical for the principle of simple harmonic oscillation between cutter and workpiece, i.e. Ra
h=Ra
m(8);
Equivalent amplitude is found the solution in step 3 (four), through type (4), (7) and (8)
Value,
Be in the actual processing amplitude information of relative vibration between cutter and workpiece;
The software of matlab described in the present embodiment is main in the face of science is calculated, the high-tech computer software of visual and interactive program design by U.S. mathworks company issue.
The specific embodiment two
At rotating speed is 1000r/min, back engagement of the cutting edge 2 μ m, and feed speed is under the condition of 25mm/min, for NiP, extracts relative vibration amplitude information
Be 5nm,, extract relative vibration amplitude information for Cu
Be 15nm, by
Calculate equivalence vibration relatively;
Shown in Fig. 5-7, calculate expansion ratio SP, under this processing conditions, the expansion ratio SP of NiP is 1.3, the expansion ratio SP of Cu is 0.65, calculates the contour curve that expands finished surface after the effect;
The superpose line data processing calculating of going forward side by side of the contour curve that will expand finished surface after the effect by matlab software and the relative vibration of equivalence can be predicted the outcome, predict the outcome with actual result to such as Fig. 8 and Fig. 9;
Shown in Fig. 8-9, NiP and Cu process under the same conditions, identical lathe, identical cutter, identical machined parameters, different places are properties of materials, and actual processing result all has certain departing from for theoretical value, and main cause just is that bulking effect has changed the size of theoretical roughness of surface, under the identical condition, the surface roughness of NiP and Cu differs bigger, and this shows in the surface roughness Forecasting Methodology, must consider the influence of bulking effect.
Claims (1)
1. the Forecasting Methodology of surface roughness during a single-point diamond turning is processed, it is characterized in that: the establishment step of the Forecasting Methodology of described a kind of single-point diamond turning machined surface roughness is as follows:
Step 1, choose typical workpiece for measurement material, change feeding rotating speed, the speed of mainshaft and back engagement of the cutting edge contrived experiment scheme, on ultra-precision machine tool, carry out single-point diamond machining experiment in advance;
Step 2, the surface outline curves that adopts the prediction of contact pin type contourgraph to process typical workpiece for measurement;
Step 3, extract the process amplitude information of relative vibration between cutter and workpiece from the testing result of machined surface, the amplitude information of relative vibration obtains by the following method between described cutter and workpiece:
Step 3 (one), according to the surface outline curves and the data that detect, outermost with the processing work end face is that radial diameter maximum place is that initial point is set up X, Z coordinate system, extract point of a knife and radially representing in the actual process the relative reflection of vibrating radially between cutter and workpiece with respect to the profile of workpiece, X-direction is the tool feeding direction, Z-direction is a cutter cutting-in direction, and then radially the number of cutter profile is:
Wherein L is for radially detecting length, and s is the amount of feeding of cutter revolution, and the number that extracts data from the detection curve of machined surface also is N;
Coordinate is x on the X-axis of step 3 (two), extraction data
i=x
1+ (i-1) Δ x=x
1+ (i-1) s (2), i=1 wherein, 2 ..., N, thus the point of a knife coordinate data that can obtain extracting is (x
i, Z
i(x
i)), the contour curve of relative vibration is between the cutter that extracts from machined surface and workpiece: Z
m(x
i)=Z
i(x
i)-min (Z
i(x
i)) (3), i=1 wherein, 2 ..., N-1, the surface roughness that the contour curve of above-mentioned relative vibration causes:
I=1 wherein, 2 ..., N;
Step 3 (three), the relative vibration equivalence between cutter and workpiece is simple harmonic oscillation, the equation of establishing its simple harmonic oscillation is:
Its discretization can be obtained:
Δ x=1/40f wherein, i=1,2 .., N, N=L/ Δ x, the surface roughness that then equivalent simple harmonic oscillation causes is:
The relative vibration equivalence is that two to vibrate the surface roughness that causes identical for the principle of simple harmonic oscillation between cutter and workpiece, i.e. Ra
h=Ra
m(8);
Equivalent amplitude is found the solution in step 3 (four), through type (4), (7) and (8)
Value,
Be in the actual processing amplitude information of relative vibration between cutter and workpiece;
Step 4, calculate expansion ratio, expansion ratio is the ratio that expands the height of the residual region after the effect and do not expand the residual region height of effect, promptly
H in the formula
RiBe the residual height of i tool margin after expanding effect on the finished surface, H
cBe the theoretical residual height that does not expand the effect tool margin, i=1 wherein, 2 ..., n;
Step 5, calculate the contour curve expand finished surface after the effect, the height that expands tool margin residual region in the contour curve of finished surface after the effect is for being H
cSP;
Step 6, find corresponding equivalent amplitude by the particular process material and the speed of mainshaft, thereby obtain the equivalence oscillating curve relatively between cutter, workpiece, the equivalence between cutter, workpiece oscillating curve relatively is:
Step 7, by matlab software the relative oscillating curve of equivalence in the contour curve that expands finished surface after the effect in the step 5 and the step 6 being superposeed to obtain new surface outline curves, new curve is carried out the data processing calculate surface roughness.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110004642 CN102172990B (en) | 2011-01-11 | 2011-01-11 | Method for predicting surface roughness in single-point diamond turning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110004642 CN102172990B (en) | 2011-01-11 | 2011-01-11 | Method for predicting surface roughness in single-point diamond turning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102172990A true CN102172990A (en) | 2011-09-07 |
| CN102172990B CN102172990B (en) | 2013-10-30 |
Family
ID=44516332
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110004642 Expired - Fee Related CN102172990B (en) | 2011-01-11 | 2011-01-11 | Method for predicting surface roughness in single-point diamond turning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102172990B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103394972A (en) * | 2013-08-05 | 2013-11-20 | 上海理工大学 | Milling surface roughness online prediction method based on acoustic emission signals |
| CN104318022A (en) * | 2014-10-28 | 2015-01-28 | 湘潭大学 | Method for predicting workpiece surface roughness and increasing cutting efficiency |
| CN106312490A (en) * | 2016-09-28 | 2017-01-11 | 中国工程物理研究院材料研究所 | Novel method for representing ultra-precision cutting surface grain-boundary relief |
| CN106407669A (en) * | 2016-09-07 | 2017-02-15 | 江苏大学 | Prediction method of cut surface roughness |
| CN109262384A (en) * | 2018-11-20 | 2019-01-25 | 洛阳Lyc轴承有限公司 | A kind of seamless floated bearing mechanism of two-stage Self-aligning |
| CN110355623A (en) * | 2019-08-05 | 2019-10-22 | 河南工业大学 | A kind of circumference of blade sharpening flank roughness detecting method and system |
| CN113051740A (en) * | 2021-03-18 | 2021-06-29 | 中国工程物理研究院机械制造工艺研究所 | Three-dimensional shape simulation method for ultra-precise dynamic cutting process |
| CN119141327A (en) * | 2024-11-11 | 2024-12-17 | 浙江大学 | On-line monitoring method for surface microscopic morphology and roughness in super-finish turning |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5964210A (en) * | 1997-07-07 | 1999-10-12 | Laser Technology West Limited | Apparatus and method for slicing a workpiece utilizing a diamond impregnated wire |
| US20080183446A1 (en) * | 2006-11-08 | 2008-07-31 | Steve Hansen | Method, program product and apparatus for predicting line width roughness and resist pattern failure and the use thereof in a lithography simulation process |
| CN101537431A (en) * | 2008-03-21 | 2009-09-23 | 宝山钢铁股份有限公司 | Method for online predicting and controlling of roughness of surface of cold-rolled thin steel strip |
| CN101870002A (en) * | 2010-07-08 | 2010-10-27 | 哈尔滨工业大学 | A flatness error control method for large-scale optical components processed by single-point diamond milling |
-
2011
- 2011-01-11 CN CN 201110004642 patent/CN102172990B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5964210A (en) * | 1997-07-07 | 1999-10-12 | Laser Technology West Limited | Apparatus and method for slicing a workpiece utilizing a diamond impregnated wire |
| US20080183446A1 (en) * | 2006-11-08 | 2008-07-31 | Steve Hansen | Method, program product and apparatus for predicting line width roughness and resist pattern failure and the use thereof in a lithography simulation process |
| CN101537431A (en) * | 2008-03-21 | 2009-09-23 | 宝山钢铁股份有限公司 | Method for online predicting and controlling of roughness of surface of cold-rolled thin steel strip |
| CN101870002A (en) * | 2010-07-08 | 2010-10-27 | 哈尔滨工业大学 | A flatness error control method for large-scale optical components processed by single-point diamond milling |
Non-Patent Citations (2)
| Title |
|---|
| 吴佩年等: "单点金刚石切削加工表面粗糙度的影响因素分析", 《工具技术》 * |
| 王景贺等: "KDP晶体单点金刚石切削表面粗糙度预测及实验研究", 《光学技术》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103394972B (en) * | 2013-08-05 | 2016-06-08 | 上海理工大学 | Milling Process surface roughness on-line prediction method based on acoustic emission signal |
| CN103394972A (en) * | 2013-08-05 | 2013-11-20 | 上海理工大学 | Milling surface roughness online prediction method based on acoustic emission signals |
| CN104318022A (en) * | 2014-10-28 | 2015-01-28 | 湘潭大学 | Method for predicting workpiece surface roughness and increasing cutting efficiency |
| CN106407669A (en) * | 2016-09-07 | 2017-02-15 | 江苏大学 | Prediction method of cut surface roughness |
| CN106312490B (en) * | 2016-09-28 | 2019-03-19 | 中国工程物理研究院材料研究所 | A kind of new method characterizing ultra precision cutting surface crystal boundary relief |
| CN106312490A (en) * | 2016-09-28 | 2017-01-11 | 中国工程物理研究院材料研究所 | Novel method for representing ultra-precision cutting surface grain-boundary relief |
| CN109262384A (en) * | 2018-11-20 | 2019-01-25 | 洛阳Lyc轴承有限公司 | A kind of seamless floated bearing mechanism of two-stage Self-aligning |
| CN109262384B (en) * | 2018-11-20 | 2024-05-03 | 洛阳轴承集团股份有限公司 | Two-stage self-aligning traceless floating supporting mechanism |
| CN110355623A (en) * | 2019-08-05 | 2019-10-22 | 河南工业大学 | A kind of circumference of blade sharpening flank roughness detecting method and system |
| CN110355623B (en) * | 2019-08-05 | 2020-06-19 | 河南工业大学 | A method and system for detecting the roughness of the blade surface after sharpening the periphery of the blade |
| CN113051740A (en) * | 2021-03-18 | 2021-06-29 | 中国工程物理研究院机械制造工艺研究所 | Three-dimensional shape simulation method for ultra-precise dynamic cutting process |
| CN113051740B (en) * | 2021-03-18 | 2023-04-28 | 中国工程物理研究院机械制造工艺研究所 | Three-dimensional morphology simulation method for ultra-precise dynamic cutting process |
| CN119141327A (en) * | 2024-11-11 | 2024-12-17 | 浙江大学 | On-line monitoring method for surface microscopic morphology and roughness in super-finish turning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102172990B (en) | 2013-10-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102172990A (en) | Method for predicting surface roughness in single-point diamond turning | |
| Sun et al. | A predictive model of grinding force in silicon wafer self-rotating grinding | |
| Ding et al. | Dynamic surface generation modeling of two-dimensional vibration-assisted micro-end-milling | |
| CN107368665B (en) | Construction method of time-varying dynamic model for high-feed turning external threaded parts | |
| CN105843171A (en) | Computer software-based surface roughness prediction method during single-point diamond machining process | |
| CN105608288B (en) | One kind being based on overdamp effect milling parameter stability prediction method | |
| CN103273387A (en) | Stiffness-measurement-based optimization method for cylindrical grinding process parameters | |
| Arif et al. | A study on the effect of tool-edge radius on critical machining characteristics in ultra-precision milling of tungsten carbide | |
| CN105678043A (en) | Large resection rate milling tremor monitoring method considering rigidity time-varying | |
| CN105619180A (en) | Method for detecting abrasion difference of cutter teeth of high-speed milling cutters under action of vibration | |
| Matsumura et al. | Cutting simulation of titanium alloy drilling with energy analysis and FEM | |
| CN108803495A (en) | Numerically controlled lathe energy consumption prediction technique when a kind of execution turnery processing program | |
| Meng et al. | Accurate modeling and controlling of weak stiffness grinding system dynamics with microstructured tools | |
| Ibrahim et al. | An experimental investigation of cutting temperature and tool wear in 2 dimensional ultrasonic vibrations assisted micro-milling | |
| CN105787194B (en) | The instantaneous cutting Force Model building of the trapezoidal external screw thread of turning and experimental test procedures | |
| CN202594961U (en) | Grinding wheel rod integrally formed by processing glass and punching | |
| Li et al. | Modeling and experimental study on the force of micro-milling titanium alloy based on tool runout | |
| Subrahmanyam et al. | Cutting force prediction for ball nose milling of inclined surface | |
| CN108647413B (en) | A comprehensive prediction method for position error and stability of micro-surface | |
| CN105081880A (en) | Method and apparatus of non-contact on-line identification for radial jumping quantity of micro milling cutter | |
| Mai et al. | A new geometrical model of the formation of machined surface | |
| CN204128678U (en) | A kind of machine vibration online monitoring system | |
| Li et al. | Theoretical investigation of vertical elliptic vibration-assisted grinding (EVAG) technology | |
| Kadivar et al. | Modelling of the micro-grinding process considering the grinding tool topography | |
| Potthoff et al. | Experimental and simulative analysis of an adapted methodology for decoupling tool wear in end milling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20131030 Termination date: 20150111 |
|
| EXPY | Termination of patent right or utility model |