In this paper, it is shown that due to scale effects in micromilling, tool size is a key parameter to consider in parameter optimization for productivity in a high-speed, high-precision micromilling operation. In this preliminary study, a method is proposed to determine the optimal tool sizes for roughing and finishing cuts in a micromilling operation, and corresponding feedrate and spindle speed profiles to maximize productivity. An objective function is developed for minimization, subject to a set of constraints. This paper will develop the framework of the optimization method and will consider constraints for sufficient reduction of geometric errors and achievability under spindle speed power limitations in particular. An algorithm is presented to solve the objective function assuming use of a roughing tool and a finishing tool. A numerical case study is presented to illustrate the implementation of the method.
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ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing
October 7–10, 2008
Evanston, Illinois, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4852-4
PROCEEDINGS PAPER
Investigation of Optimal Parameter Space for High-Speed, High-Precision Micromilling
J. Rhett Mayor,
J. Rhett Mayor
Georgia Institute of Technology, Atlanta, GA
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Angela A. Sodemann
Angela A. Sodemann
Georgia Institute of Technology, Atlanta, GA
Search for other works by this author on:
J. Rhett Mayor
Georgia Institute of Technology, Atlanta, GA
Angela A. Sodemann
Georgia Institute of Technology, Atlanta, GA
Paper No:
MSEC_ICM&P2008-72262, pp. 227-234; 8 pages
Published Online:
July 24, 2009
Citation
Mayor, JR, & Sodemann, AA. "Investigation of Optimal Parameter Space for High-Speed, High-Precision Micromilling." Proceedings of the ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2. Evanston, Illinois, USA. October 7–10, 2008. pp. 227-234. ASME. https://doi.org/10.1115/MSEC_ICMP2008-72262
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