A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains

Nie, Zhenguo1,2; Wang, Gang1,3; Liu, Dehao1,2; Rong, Yiming (Kevin)1,4

2018-05

10.1115/1.4038729

JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME   影响因子和分区

1087-1357

1528-8935

Accurate information about the evolution of the temperature field is a theoretical prerequisite for investigating grinding burn and optimizing the process parameters of grinding process. This paper proposed a new statistical model of equivalent grinding heat source with consideration of the random distribution of grains. Based on the definition of the Riemann integral, the summation limit of the discrete point heat sources was transformed into the integral of a continuous function. A finite element method (FEM) simulation was conducted to predict the grinding temperature field with the embedded net heat flux equation. The grinding temperature was measured with a specially designed in situ infrared system and was formulated by time space processing. The reliability and correctness of the statistical heat source model were validated by both experimental temperature time curves and the maximum grinding temperature, with a relative error of less than 20%. Finally, through the FEM-based inversed calculation, an empirical equation was proposed to describe the heat transfer coefficient (HTC) changes in the grinding contact zone for both conventional grinding and creep feed grinding.

statistical model grinding temperature field heat flux distribution grinding temperature measurement empirical equation of HTC

SCI ; EI

英语

其他

National Basic Research Program of China[2011CB013404]

Engineering

Engineering, Manufacturing ; Engineering, Mechanical

WOS:000428925800016

ASME

20181104905668

Finite element method ; Heat flux ; Heat transfer ; In situ processing ; Temperature ; Temperature measurement

Machining Operations:604.2 ; Thermodynamics:641.1 ; Heat Transfer:641.2 ; Numerical Methods:921.6 ; Temperature Measurements:944.6

ENGINEERING

Web of Science

1.Tsinghua Univ, Beijing Key Lab Precis Ultra Precis Mfg Equipment, Beijing 100084, Peoples R China
2.Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
3.Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China
4.South Univ Sci & Technol China, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China

Nie, Zhenguo,Wang, Gang,Liu, Dehao,et al. A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains[J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME,2018,140(5).

Nie, Zhenguo,Wang, Gang,Liu, Dehao,&Rong, Yiming .(2018).A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains.JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME,140(5).

Nie, Zhenguo,et al."A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains".JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME 140.5(2018).