Modeling of machining parameters of Ti-6Al-4V for electric discharge machining: A neural network approach
Author:
Publisher
Academic Journals
Subject
General Physics and Astronomy,General Engineering,General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://academicjournals.org/journal/SRE/article-full-text-pdf/B08F31C31222
Cited by 18 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. FE parametric evaluation of macro-to-microscale dry milling for sustainable manufacturing of aerospace alloys;Results in Materials;2024-03
2. Optimization of MRR and TWR in Electric Discharge Drilling of Ti-Alloy Using Hybrid Approach of Taguchi-Based GRA and PCA;Lecture Notes in Mechanical Engineering;2023
3. Alumina Nano Powder Impact on Electrical Discharge Machining of Titanium Alloy Wire;Materials Science Forum;2022-12-26
4. Machining of shape-memory alloys using electrical discharge machining with an elaborate study of optimization approaches: a review;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2022-10-26
5. Performance evaluation of electric discharge machining of titanium alloy-a review;Journal of Engineering and Applied Science;2022-07-23
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