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Research Papers

Predictive Modeling of Microgrinding Force Incorporating Phase Transformation Effects

[+] Author and Article Information
Zishan Ding

School of Mechanical Engineering,
Department of Mechanical Manufacturing
University of Shanghai for Science and Technology,
Mechanical Engineering Academic Building,
516 Jungong Road,
Shanghai 200093, China;
George W. Woodruff School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mails: zishanding1988@gmail.com; dzishan@163.com

Gaoxiang Sun

School of Mechanical Engineering,
Department of Mechanical Manufacturing,
University of Shanghai for Science and Technology,
Mechanical Engineering Academic Building,
516 Jungong Road,
Shanghai 200093, China
e-mail: sungaoxiang113@163.com

Xiaohui Jiang

School of Mechanical Engineering,
Department of Mechanical Manufacturing,
University of Shanghai for Science and Technology,
Mechanical Engineering Academic Building, 516 Jungong Road,
Shanghai 200093, China
e-mail: jiangxh@usst.edu.cn

Miaoxian Guo

School of Mechanical Engineering,
Department of Mechanical Manufacturing,
University of Shanghai for Science and Technology,
Mechanical Engineering Academic Building,
516 Jungong Road,
Shanghai 200093, China
e-mail: guomx@usst.edu.cn

Steven Y. Liang

George W. Woodruff School of Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: steven.liang@me.gatech.edu

1Corresponding author.

Manuscript received December 12, 2018; final manuscript received May 18, 2019; published online June 13, 2019. Assoc. Editor: Radu Pavel.

J. Manuf. Sci. Eng 141(8), 081009 (Jun 13, 2019) (9 pages) Paper No: MANU-18-1859; doi: 10.1115/1.4043839 History: Received December 12, 2018; Accepted May 18, 2019

This study investigates the prediction of maraging steel C250 microgrinding forces by incorporating phase transformation effects with the manufacturing process mechanics. The results could consequently increase the accuracy of the prediction and better understand the influence of phase evolution on the materials processing. Based on a detailed analysis of microgrinding mechanics and thermodynamics, an iterative blending scheme integrating phase transformation kinetics and material genome analysis is developed. The physical-based formulation, experimental validation, and computational configuration are presented herein for the microgrinding forces, quantifying phase transformation effects. According to the results, the implementation of the iterative blending scheme can help achieve a higher prediction accuracy of microgrinding forces. Besides, the iterative blending would enable the consideration of the interactive relation between process mechanics and microstructure evolution through materials genome analysis.

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Figures

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Fig. 1

Microgrinding workpiece on experimental facilities

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Fig. 2

Force and temperature measurement: (a) Signal of the force curve and (b) contacting and noncontacting temperature measurements and curves

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Fig. 3

Iterative modeling for the PAFP

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Fig. 4

Forces in the two-dimensional simplified configuration

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Fig. 5

X-ray diffraction patterns

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Fig. 6

Volume fraction of phase difference between model's predictions and XRD measured

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Fig. 7

Temperature difference between model predictions and experimental results

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Fig. 8

Force difference between model's predictions and experimental results

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Fig. 9

Effect of phase transformation on the accuracy of microgrinding force prediction in three grinding conditions

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