In precision abrasive machining, it is important to control process variables such as the material removal rate, normal force and power input, as these factors influence surface finish, dimensional precision, and material damage. In this research, a linear grinding process model, with enhancements over past models, is developed relating normal force to material removal rates. Two experimental procedures for the determination of the grinding model’s parameters are presented. Simulations are performed to validate the grinding model. The determined model is found to be a valid representation of the grinding process that should prove useful in adaptive control with real-time parameter estimation.
Issue Section:
Technical Briefs
1.
Bifano
T.
Yi
Y.
Kahl
K.
1994
, “Fixed Abrasive grinding of CVD SiC Mirrors
,” Precision Engineering
, Apr., Vol. 16
, No. 2
, pp. 109
–116
.2.
Brady
B.
1985
, “Trouble Shooting Diamond Wheel Failures
,” Cutting Tool Engineering
, Vol. 37
, No. 3
, June, pp. 32
–34
.3.
Brown, N., 1990, Optical Fabrication, MISC4476, Revision 1, Lawrence Livermore Laboratory, Livermore, CA.
4.
Hahn, R. S., and Lindsay, R. P., 1971, “Principles of Grinding Part I Basic Relationships in Precision Machining,” Machinery, July, pp. 55–62.
5.
Kurfess
T. R.
Whitney
D. E.
Brown
M. L.
1988
, “Verification of a Dynamic Grinding Model
,” ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL
, Dec., Vol. 110
, pp. 403
–409
.6.
Tonshoff
H. K.
Zinngrebe
M.
Kemmerling
M.
1986
, “Optimization of Internal Grinding by Microcomputer-Based Force Control
,” Annals of the CIRP
, Vol. 35
, No. 1
, pp. 293
–296
.7.
Whitney
D. E.
Edsall
A. C.
Todtenkopf
A. B.
Kurfess
T. R.
Tate
A. R.
1990
, “Development of an Automated Robotic Weld Bead Grinding System
,” ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL
, June, Vol. 112
, pp. 166
–175
.
This content is only available via PDF.
Copyright © 1997
by The American Society of Mechanical Engineers
You do not currently have access to this content.
