Complex molds and dies often need grinding to achieve the required surface finishes and tolerances. Due to complex part geometry and multiple-axis motion, the wheel–workpiece engagement conditions may vary drastically during grinding, which imposes challenges to choose the appropriate workspeeds. This paper presents a modeling approach to optimize mold and die grinding to reduce cycle time while maintaining process parameters such as grinding force and specific removal rate below critical limits. The wheel–workpiece engagement conditions are calculated for each grinding step by processing the NC program, part and wheel geometries. Grinding forces, power, and temperature are calculated and used as decision variables to optimize workspeed to reduce cycle time. Results for grinding a half bottle shaped mold show that the grinding process parameters vary significantly along the wheel axis at any instant and along the grinding path. The grinding process is far from optimum if a constant workspeed is used. Model-based optimization has been shown to reduce cycle time by 50% while achieving much lower grinding forces and power.
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August 2012
Research-Article
Modeling and Simulation of Mold and Die Grinding
Changsheng Guo
e-mail: Guoc@utrc.utc.com
Changsheng Guo
Physical Science Department
,United Technologies Research Center
,East Hartford, CT 06118
e-mail: Guoc@utrc.utc.com
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Changsheng Guo
Physical Science Department
,United Technologies Research Center
,East Hartford, CT 06118
e-mail: Guoc@utrc.utc.com
Contributed by the Manufacturing Engineering Division of ASME for publication in the Journalof Manufacturing Scienceand Engineering. Manuscript received August 11, 2011; final manuscript received March 29, 2012; published online July 18, 2012. Assoc. Editor: Robert Landers.
J. Manuf. Sci. Eng. Aug 2012, 134(4): 041007 (4 pages)
Published Online: July 18, 2012
Article history
Received:
August 11, 2011
Revision Received:
March 29, 2012
Citation
Guo, C. (July 18, 2012). "Modeling and Simulation of Mold and Die Grinding." ASME. J. Manuf. Sci. Eng. August 2012; 134(4): 041007. https://doi.org/10.1115/1.4006970
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