Quality Control of Metal Powder Gears

2009 ◽  
pp. 15-15-9
Author(s):  
W. A. Hinkle
Keyword(s):  
Quality Control ◽  
Metal Powder

Quality assurance in metal powder bed fusion via deep-learning-based image classification

2019 ◽  
Vol 26 (2) ◽  
pp. 259-266 ◽  
Author(s):  
Maximilian Hugo Kunkel ◽  
Andreas Gebhardt ◽  
Khumbulani Mpofu ◽  
Stephan Kallweit
Keyword(s):  
Machine Learning ◽  
Mechanical Properties ◽  
Quality Control ◽  
Metal Powder ◽  
Monitoring Data ◽  
Powder Bed Fusion ◽  
Destructive Testing ◽  
Deep Convolutional Neural Networks ◽  
Content Type ◽  
Powder Bed

Purpose This paper aims to establish a standardized, quick, reliable and cost-efficient method of quality control (QC) in metal powder bed fusion (PBFM) based on process monitoring data. Design/methodology/approach Based on destructive testing results that emerged from a statistical investigation on powder bed fusion process exceeding reproducibility of mechanical properties, it was investigated if the generated monitoring data from a concept laser machine allows reliable deductions on resulting mechanical properties of the manufactured specimens. Findings The application of machine learning on generated melt pool images, under-recognition of destructive testing results, enables enhanced pattern recognition. The generated computational model successfully classified 9,280 unseen layer images by 98.9 per cent accuracy. This finding offers an automated approach to quality control within PBFM. Originality/value To the authors knowledge, it is the first time that machine learning has been applied for the purpose of QC in additive manufacturing. The ability of deep convolutional neural networks to recognize patterns, which are imperceptible to the human eye, shows high potential to facilitate activities of QC and to minimize QC-related costs and throughput times. The achieved processing speed for image analyses also points a way for future developments of self-corrective PBFM systems.

scholarly journals Standard method for microCT-based additive manufacturing quality control 4: Metal powder analysis

MethodsX ◽  
2018 ◽  
Vol 5 ◽  
pp. 1336-1345 ◽  
Author(s):  
Anton du Plessis ◽  
Philip Sperling ◽  
Andre Beerlink ◽  
Willie B. du Preez ◽  
Stephan G. le Roux
Keyword(s):  
Quality Control ◽  
Additive Manufacturing ◽  
Metal Powder ◽  
Standard Method ◽  
Manufacturing Quality ◽  
Powder Analysis

Health communication ethics and CDC quality-control guidelines for information

2003 ◽  
Vol 118 (3) ◽  
pp. 193-196 ◽  
Author(s):  
Jeffrey W McKenna ◽  
Terry F Pechacek ◽  
Donna F Stroup
Keyword(s):  
Quality Control ◽  
Health Communication ◽  
Communication Ethics

Quality control and the medical record

1971 ◽  
Vol 127 (1) ◽  
pp. 101-105 ◽  
Author(s):  
L. L. Weed
Keyword(s):  
Quality Control ◽  
Medical Record

Metacognitively guided retrieval and report (META-RAR): Quality control processes in recall

2009 ◽  
Author(s):  
Morris Goldsmith ◽  
Larry L. Jacoby ◽  
Vered Halamish ◽  
Christopher N. Wahlheim
Keyword(s):  
Quality Control ◽  
Control Processes
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