This study investigates the energy utilization and efficiency in thermally assisted machining (TAM) of a titanium alloy using numerical simulation. AdvantEdge finite element method (FEM) is used to conduct the simulation of orthogonal machining of the workpiece. Thermal boundary conditions are specified to approximate laser preheating of the workpiece material. The effects of operating conditions (preheat temperature, cutting speed, depth of cut, and rake angle) on mechanical cutting energy, preheat energy, and energy efficiency are investigated. The results show that preheating the workpiece reduces the cutting energy but increases the total energy in TAM. There is significant potential to maximize total energy efficiency in TAM by optimal design of heating strategies and machining conditions.
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and Mechanical Engineering,
Saint Louis University,
and Manufacturing Systems Engineering,
Kansas State University,
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December 2013
Research-Article
Energy Efficiency in Thermally Assisted Machining of Titanium Alloy: A Numerical Study
X. Ge,
and Mechanical Engineering,
Saint Louis University,
X. Ge
Department of Aerospace
and Mechanical Engineering,
Saint Louis University,
Saint Louis, MO 63103
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S. Lei
and Manufacturing Systems Engineering,
Kansas State University,
S. Lei
Department of Industrial
and Manufacturing Systems Engineering,
Kansas State University,
Manhattan, KS 66506
Search for other works by this author on:
X. Ge
Department of Aerospace
and Mechanical Engineering,
Saint Louis University,
Saint Louis, MO 63103
S. Lei
Department of Industrial
and Manufacturing Systems Engineering,
Kansas State University,
Manhattan, KS 66506
Manuscript received March 21, 2013; final manuscript received September 29, 2013; published online November 5, 2013. Assoc. Editor: Yung Shin.
J. Manuf. Sci. Eng. Dec 2013, 135(6): 061001 (6 pages)
Published Online: November 5, 2013
Article history
Received:
March 21, 2013
Revision Received:
September 29, 2013
Citation
Ma, J., Ge, X., and Lei, S. (November 5, 2013). "Energy Efficiency in Thermally Assisted Machining of Titanium Alloy: A Numerical Study." ASME. J. Manuf. Sci. Eng. December 2013; 135(6): 061001. https://doi.org/10.1115/1.4025610
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