Exploring the hardening mechanisms during high speed machining (HSM) is an effective approach to improve the fatigue strength and the wear resistance of machined surface and to control the fragmentation of chips in a certain range of hardness. In this paper, the microhardness variation is explored from the perspective of microstructural evolutions, as a direct consequence of the severe deformation during HSM Ti-6Al-4V alloy. A microstructure-sensitive flow stress model coupled the phenomena of grain refinement, deformation twinning, and phase transformations is first proposed. Then the microstructure-sensitive flow stress model is implemented into the cutting simulation model via a user-defined subroutine to analyze the flow stress variation induced by the microstructure evolutions during HSM Ti-6Al-4V. Finally, the relationship between the microhardness and flow stress is developed and modified based on the classical theory that the hardness is directly proportional to the flow stress. The study shows that the deformation twinning (generated at higher cutting speeds) plays a more important role in the hardening of Ti-6Al-4V compared with the grain refinement and phase transformation. The predicted microhardness distributions align well with the measured values. It provides a novel thinking that it is plausible to obtain a high microhardness material via controlling the microstructure alterations during machining process.
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September 2018
Research-Article
Microhardness Prediction Based on a Microstructure-Sensitive Flow Stress Model During High Speed Machining Ti-6Al-4V
Qingqing Wang,
Qingqing Wang
Key Laboratory of High Efficiency and
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Key National Demonstration Center for
Experimental Mechanical Engineering
Education,
Shandong University,
Jinan 250061, China
Experimental Mechanical Engineering
Education,
Shandong University,
Jinan 250061, China
Search for other works by this author on:
Zhanqiang Liu
Zhanqiang Liu
Key Laboratory of High Efficiency and
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Key National Demonstration Center for
Experimental Mechanical Engineering Education,
Shandong University,
Jinan 250061, China
e-mail: melius@sdu.edu.cn
Experimental Mechanical Engineering Education,
Shandong University,
Jinan 250061, China
e-mail: melius@sdu.edu.cn
Search for other works by this author on:
Qingqing Wang
Key Laboratory of High Efficiency and
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Key National Demonstration Center for
Experimental Mechanical Engineering
Education,
Shandong University,
Jinan 250061, China
Experimental Mechanical Engineering
Education,
Shandong University,
Jinan 250061, China
Zhanqiang Liu
Key Laboratory of High Efficiency and
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Clean Mechanical Manufacture of MOE,
School of Mechanical Engineering,
Shandong University,
Jinan 250061, China;
Key National Demonstration Center for
Experimental Mechanical Engineering Education,
Shandong University,
Jinan 250061, China
e-mail: melius@sdu.edu.cn
Experimental Mechanical Engineering Education,
Shandong University,
Jinan 250061, China
e-mail: melius@sdu.edu.cn
1Corresponding author.
Manuscript received December 18, 2017; final manuscript received March 24, 2018; published online June 8, 2018. Assoc. Editor: Guillaume Fromentin.
J. Manuf. Sci. Eng. Sep 2018, 140(9): 091003 (15 pages)
Published Online: June 8, 2018
Article history
Received:
December 18, 2017
Revised:
March 24, 2018
Citation
Wang, Q., and Liu, Z. (June 8, 2018). "Microhardness Prediction Based on a Microstructure-Sensitive Flow Stress Model During High Speed Machining Ti-6Al-4V." ASME. J. Manuf. Sci. Eng. September 2018; 140(9): 091003. https://doi.org/10.1115/1.4039889
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