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Surface Roughness Prediction Model using Zirconia Toughened Alumina (ZTA) Turning Inserts: Taguchi Method and Regression Analysis

  • Published:2015-05-26 Issue:1 Volume:97 Page:77-84
  • ISSN:2250-0545
  • Container-title:Journal of The Institution of Engineers (India): Series C
  • language:en
  • Short-container-title:J. Inst. Eng. India Ser. C

Author:

Mandal Nilrudra,Doloi Biswanath,Mondal Biswanath

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Ocean Engineering,Aerospace Engineering

Cited by 11 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. Surface roughness prediction in turning processes using CEEMD-based vibration signal denoising and LSTM networks;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2024-07-26

2. The parameters optimization of robotic polishing with force controlled for mold steel based on Taguchi method;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-04-27

3. Determination of Material-Dependent Parameters and Friction in Ultrasonic-Vibration-Assisted Turning by Inverse Modeling;Journal of The Institution of Engineers (India): Series C;2022-01-29

4. Optimization of machining parameters during application of Al2O3 nano-cutting fluid at different flow rates;Materials Today: Proceedings;2022

5. Modeling and multi-objective optimization of cutting parameters in the high-speed milling using RSM and improved TLBO algorithm;The International Journal of Advanced Manufacturing Technology;2020-10-27
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