Feed rate optimization and depth of cut control for productivity and part parallelism in grinding-Reference-Cited by-同舟云学术

Feed rate optimization and depth of cut control for productivity and part parallelism in grinding

Published:1999-08 Issue:5 Volume:9 Page:447-462
ISSN:0957-4158
Container-title:Mechatronics
language:en
Short-container-title:Mechatronics

Author:

Hekman Keith A,Liang Steven Y

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference9 articles.

1. Predictive control of a robotic grinding system;Kurfess;Journal of Engineering for Industry,1992

2. Control strategy for multipass robotic grinding;Srivastava;International Journal of Robotics and Automation,1995

3. Development and control of an automated robotic weld bead grinding system;Whitney;Journal of Dynamic Systems, Measurement, and Control,1990

4. Yoo SM, Dornfeld DA. Computer simulation of the flexible disk grinding process: flat surface control using variable vertical feed speed, Symposium on Monitoring and Control for Manufacturing Processes, ASME WAM PED, vol. 44, 1990. p. 123–32

5. Local lapping system to obtain wide and flat surface with actively controlled force sensor;Matsumoto;Proceedings of the American Society for Precision Engineering Annual Meeting,1996

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