Surface roughness prediction in turning using artificial neural network-Reference-Cited by-同舟云学术

Surface roughness prediction in turning using artificial neural network

Published:2005-06-10 Issue:4 Volume:14 Page:319-324
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Pal Surjya K.,Chakraborty Debabrata

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-005-0468-x.pdf

Reference28 articles.

1. Albrecht AB (1956) How to secure desired surface finish in turning operations. American Machinist 133–136

2. Ansell CT, Taylor J (1962) The surface finishing properties of a carbide and ceramic cutting tool. In: Proceedings of the 3rd international MTDR conference

3. Chandiramani KL, Cook NH (1964) Investigations into the nature of surface finish and its variation with cutting speed. Trans ASME J Eng Ind 86–87:134–140

4. Karmakar A (1970) Factors influencing surface finish during fine turning. In: Proceedings of 4th all India machine tool design and research conference, pp 123–128

5. Selvam MS (1975) Tool vibrations and its influence on surface roughness in turning. Wear 35:149–157

Cited by 68 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. A Review of the Surface Roughness Prediction Methods in Finishing Machining;Engineering, Technology & Applied Science Research;2024-08-02

2. Real-time surface roughness estimation and automatic regrinding of ground workpieces using a data-driven model and grinding force inputs;The International Journal of Advanced Manufacturing Technology;2024-03-19

3. Surface texture analysis in polycrystalline alloys via an artificial neural network;Measurement;2024-03

4. Predictive Quality Analytics of Surface Roughness in Turning Operation Using Polynomial and Artificial Neural Network Models;Processes;2024-01-18

5. Next-Gen Manufacturing: Machine Learning for Surface Roughness Prediction in Ti-6Al-4V Biocompatible Alloy Machining;Journal of Manufacturing and Materials Processing;2023-11-15