A study of surface roughness in drilling using mathematical analysis and neural networks-Reference-Cited by-同舟云学术

A study of surface roughness in drilling using mathematical analysis and neural networks

Published:2006-03-24 Issue:9-10 Volume:29 Page:846-852
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Sanjay C.,Jyothi C.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-005-2538-8.pdf

Reference16 articles.

1. Yao Y, Xiaoli (1999) Tool wear detection with fuzzy classification and wavelet analysis. Int J Mach Tools Manuf 39:1525–1538

2. Li PG, Wu SM (1998) Monitoring of drill wear states by a fuzzy pattern recognition technique. J Eng Ind 110:352–359

3. Lee BY, Tarng YS (2001) Surface roughness inspection by computer vision in turning operation. Int J Mach Tools Manuf 39:1251–1263

4. Xiaoli, Tso SK (1999) Drill wear monitoring based on current signals. Wear 231:172–178

5. Chang-Xue, Xian-Feng (1999) Surface roughness predictive modeling neural network verses regression analysis. Technical Report, Department of Industrial and Manufacturing Engineering, Bradley University, Peoria, USA

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