[go: up one dir, main page]

Imran et al., 2023 - Google Patents

In-situ process monitoring and defects detection based on geometrical topography with streaming point cloud processing in directed energy deposition

Imran et al., 2023

View PDF
Document ID
12037215641909779011
Author
Imran M
Kim Y
Jung G
De Silva L
Suh J
Abas P
Kim Y
Publication year
Publication venue
IEEE Access

External Links

Snippet

The 3D printing industry faces challenges in ensuring reliable and repeatable processes, as increasing slopes can lead to defects and faults forming layer by layer in fabricated parts. Detecting these defects through post-processing quality inspections is time-consuming and …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/35—Nc in input of data, input till input file format
    • G05B2219/35303—Dry run, compare simulated output with desired finished profile, alarm, inhibit

Similar Documents

Publication Publication Date Title
Abdelrahman et al. Flaw detection in powder bed fusion using optical imaging
Yang et al. Six-sigma quality management of additive manufacturing
Lin et al. Online quality monitoring in material extrusion additive manufacturing processes based on laser scanning technology
US12001191B2 (en) Automated 360-degree dense point object inspection
Ye et al. In-situ point cloud fusion for layer-wise monitoring of additive manufacturing
Foster et al. Optical, layerwise monitoring of powder bed fusion
Lyu et al. Online convolutional neural network-based anomaly detection and quality control for fused filament fabrication process
US10933468B2 (en) Additive manufacturing method and apparatus
Hirsch et al. Assessing the capability of in-situ nondestructive analysis during layer based additive manufacture
KR20230004570A (en) On-site inspection method based on digital data model of welding
CN119936045A (en) Automated 360 degree dense point object inspection
US20160098825A1 (en) Feature extraction method and system for additive manufacturing
WO2016035147A1 (en) Measurement processing device, measurement processing method, measurement processing program, and structure production method
EP3495904A1 (en) Method and apparatus for predicting manufacturing parameters of a product to be manufactured in a 3d-printing process
WO2016035148A1 (en) Measurement processing device, x-ray inspection apparatus, method for manufacturing structure, measurement processing method, x-ray inspection method, measurement processing program, and x-ray inspection program
US12153409B2 (en) Computer-implemented method for determining defects of an object produced using an additive manufacturing process
Imran et al. In-situ process monitoring and defects detection based on geometrical topography with streaming point cloud processing in directed energy deposition
Kopsacheilis et al. In Situ Visual Quality Control in 3D Printing.
Dickins Design of a multi-sensor in-situ inspection system for additive manufacturing
CN115867403B (en) Method and device for additive manufacturing of workpieces
CN115943431A (en) Computer-implemented, adaptive anomaly detection method for powder bed-based additive manufacturing
Boschetto et al. Powder bed monitoring via digital image analysis in additive manufacturing
EP4249153A1 (en) Tool for scan path visualization and defect distribution prediction
zur Jacobsmühlen et al. Compound quality assessment in laser beam melting processes using layer images
Terry et al. Active monitoring of powder bed fusion process by training an artificial neural net classifier on layer-by-layer surface laser profilometry data