Intelligent Fixture Layout Design for End Milling Process Using Artificial Neural Networks
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-3631-1_20
Reference23 articles.
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3. Liao YG (2003) A genetic algorithm-based fixture locating positions and clamping schemes optimization. Proc IMechE, Part B: J Eng Manuf 217:1075–1083
4. Kaya N, Ozturk F (2003) The application of chip removal and frictional contact analysis for workpiece–fixture layout verification. Int J Adv Manuf Technol 21:411–419
5. Deiab IM, Elbestawi A (2004) Effect of workpiece/fixture dynamics on the machining process output. Proc IMechE, Part B: J Eng Manuf 218:1541–1553
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1. Application of optimized convolutional neural network to fixture layout in automotive parts;The International Journal of Advanced Manufacturing Technology;2023-02-25
2. Technological parameter optimization for walnut shell-kernel winnowing device based on neural network;Frontiers in Bioengineering and Biotechnology;2023-02-02
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