Altıntaş, Y. and Kersting, P. and Biermann, D. and Budak, Erhan and Denkena, B. and Lazoğlu, I. (2014) Virtual process systems for part machining operations. CIRP Annals - Manufacturing Technology, 63 (2). pp. 585-605. ISSN 0007-8506 (Print) 1726-0604 (Online)
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2014-63-2-0585-M.pdf
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Official URL: http://dx.doi.org/10.1016/j.cirp.2014.05.007
Abstract
This paper presents an overview of recent developments in simulating machining and grinding processes along the NC tool path in virtual environments. The evaluations of cutter-part-geometry intersection algorithms are reviewed, and are used to predict cutting forces, torque, power, and the possibility of having chatter and other machining process states along the tool path. The trajectory generation of CNC systems is included in predicting the effective feeds. The NC program is automatically optimized by respecting the physical limits of the machine tool and cutting operation. Samples of industrial turning, milling and grinding applications are presented. The paper concludes with the present and future challenges to achieving a more accurate and efficient virtual machining process simulation and optimization system.
Item Type: | Article |
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Uncontrolled Keywords: | Virtual; Machining; CAM |
Subjects: | T Technology > TS Manufactures T Technology > TJ Mechanical engineering and machinery > TJ241-254.7 Machine construction (General) T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TS Manufactures > TS0200 Metal manufactures. Metalworking T Technology > TJ Mechanical engineering and machinery > TJ170-179 Mechanics applied to machinery. Dynamics T Technology > T Technology (General) > T175 Industrial research. Research and development |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | Erhan Budak |
Date Deposited: | 28 Nov 2014 22:38 |
Last Modified: | 26 Apr 2022 09:14 |
URI: | https://research.sabanciuniv.edu/id/eprint/24493 |