Mastering the Complexity of Incremental Forming: Geometry-Based Accuracy Prediction Using Machine Learning
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Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/26/1/12/pdf
Reference9 articles.
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3. Geometry Compensation Methods for Increasing the Accuracy of the SPIF Process;Carette;Key Eng. Mater.,2021
4. Multivariate adaptive regression splines as a tool to improve the accuracy of parts produced by FSPIF;Verbert;Key Eng. Mater.,2011
5. Tool path compensation strategies for single point incremental sheet forming using multivariate adaptive regression splines;Behera;Comput. Aided Des.,2013
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. Prediction of forming accuracy in incremental sheet forming using artificial neural networks on local surface representations;The International Journal of Advanced Manufacturing Technology;2024-06-27
2. Cluster analysis for systematic database extension to improve machine learning performance in double-sided incremental sheet forming;The International Journal of Advanced Manufacturing Technology;2024-06-19
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