A combined computer vision and image processing method for surface coverage measurement of shot peen forming

Author:

Wang Tong,Zhang Jingbo,Zhang Shuwei,Zhang Xianjie,Wang Junbiao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Reference35 articles.

1. Peen forming;Baughman;Mach D,1970

2. Optimisation of the fatigue resistance of 2024-T351 aluminium alloys by controlled shot peening - methodology, results and analysis;Rodopoulos;International Journal of Fatigu,2004

3. A study on prediction of process parameters of shot peen forming using artificial neural network optimized by genetic algorithm;Wang;Arab J Sci Eng,2021

4. Three-dimensional dynamic finite element analysis of shot-peening induced residual stresses;Meguid;Finite Elements Anal Design,1999

5. Experimental study of shot peening and stress peen forming;Miao;J Mater Process Technol,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adapted type-II fuzzy algorithm to process images with non-uniform illumination;Signal, Image and Video Processing;2024-01-13

2. Effects of peening velocity and coverage on peen forming;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-10-17

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