Modeling and Predicting Surface Topography of the Ultrasonic Assisted Grinding Process Considering Ploughing Action

doi:10.3901/JME.2018.21.231

Abstract

Abstract: Ultrasonic assisted grinding is widely used in the field of difficult-to-machine materials. During ultrasonic assisted grinding, the ultrasonic vibration parameters have a major impact on ground surface. Thus, in order to optimize machine parameters before grinding according to simulation results. A new method to model and predict surface topography of the ultrasonic assisted grinding process considering ploughing is proposed. A grinding wheel surface model considering the random distribution of grain is established by supposing the grits are spherical. Based on the geometric mapping relationship between grains and workpiece in ultrasonic assisted grinding, the cutting model of grains considering the real-time cutting depth and ploughing action is presented. The regional approximation calculation method is provided afterward. Consequently, the three-dimensional surface topography of ultrasonic assisted grinding is simulated. At last, this model is verified by the experiment through the surface texture and surface roughness parameters.

Key words: modeling, ploughing, predicting, surface topography, ultrasonic assisted grinding

CLC Number:

TH161

CHEN Haifeng, TANG Jinyuan, DENG Zhaohui, ZHOU Weihua. Modeling and Predicting Surface Topography of the Ultrasonic Assisted Grinding Process Considering Ploughing Action[J]. Journal of Mechanical Engineering, 2018, 54(21): 231-240.

References

[1] FREDJ N B,AMAMOU R. Ground surface roughness prediction based upon experimental design and neural network models[J]. The International Journal of Advanced Manufacturing Technology,2006,31(1-2):24-36.
[2] GUO X H,LIU M F,ZHAO C R. Surface roughness prediction in precision surface grinding of nano-ceramic coating based on improved ANFIS[J]. Applied Mechanics and Materials,2010,44-47:2293:2298.
[3] VENU G A,VENKATESWARA RAO P. Selection of optimum conditions for maximum material removal rate with surface finish and damage as constraints in SiC grinding[J]. International Journal of Machine Tools and Manufacture,2003,43(13):1327-1336.
[4] ZHOU X,XI F. Modeling and predicting surface roughness of the grinding process[J]. International Journal of Machine Tools and Manufacture,2002,42:969-977.
[5] CAO Y,GUAN J,LI B,et al. Modeling and simulation of grinding surface topography considering wheel vibration[J]. The International Journal of Advanced Manufacturing Technology,2012,66(5-8):937-945.
[6] GONG Y D,WANG B,WANG W S. The simulation of grinding wheels and ground surface roughness based on virtual reality technology[J]. Journal of Materials Processing Technology,2002,129:123-126.
[7] CHAKRABARTI S,PAUL S. Numerical modelling of surface topography in superabrasive grinding[J]. The International Journal of Advanced Manufacturing Technology,2007,39(1-2):29-38.
[8] CHEN X,ROWE W B. Analysis and simulation of the grinding proces Part I Generation of the grinding wheel[J]. International Journal of Machine Tools and Manufacture,1996,36(8):871-882.
[9] CHEN X,ROWE W B. Analysis and simulation of the grinding process Part 2:Mechanics of grinding[J]. International Journal of Machine Tools and Manufacture,1996,36(8):883-896.
[10] CHEN Haifeng,TANG Jinyun,SHAO Wen,et al. An investigation of surface roughness in ultrasonic assisted dry grinding of 12Cr2Ni4A with large diameter grinding wheel[J]. International Journal of Precision Engineering and Manufacturing,2018,19(6):929-936.
[11] CHEN Haifeng,TANG Jinyuan,SHAO Wen,et al. An investigation on surface functional parameters in ultrasonic-assisted grinding of soft steel[J]. The International Journal of Advanced Manufacturing Technology,2018,96(1-4):1-6.
[12] YAN Yanyan,ZHAO Bo,LI Junli. Ultraprecision surface finishing of nano-ZrO2 ceramics using two-dimensional ultrasonic assisted grinding[J]. The International Journal of Advanced Manufacturing Technology,2008,43(5-6):462-467.
[13] GAO Gaofu,ZHAO Bo,XIANG D H,et al. Research on the surface characteristics in ultrasonic grinding nano-zirconia ceramics[J]. Journal of Materials Processing Technology,2009,209(1):32-37.
[14] CHEN Haifeng,TANG Jinyuan. A model for prediction of surface roughness in ultrasonic-assisted grinding[J]. The International Journal of Advanced Manufacturing Technology,2014,77(1-4):643-651.
[15] 王秋燕,梁志强,王西彬,等. 超声振动螺线磨削表面微观形貌建模与仿真研究[J]. 机械工程学报,2017,53(19):83-89. WANG Qiuyan,LIANG Zhiqiang,WANG Xibin,et al. Modeling and simulation of micro-topography of ultrasonic vibration helical grinding surface[J]. Journal of Mechanical Engineering,2017,53(19):83-89.
[16] KOSHY P,JAIN V K,GKLA L. Stochastic simulation approach to modelling diamond wheel topography[J]. International Journal of Machine Tools and Manufacture,1997,37(6):751-761.
[17] DARAFON A,WARKENTIN A,BAUER R. 3D metal removal simulation to determine uncut chip thickness,contact length and surface finish in grinding[J]. The International Journal of Advanced Manufacturing Technology,2013,66(9-12):1715-24.
[18] AXINTE D,BUTLER-SMITH P,AKGUN C,et al. On the influence of single grit micro-geometry on grinding behavior of ductile and brittle materials[J]. International Journal of Machine Tools and Manufacture,2013,74:12-18.
[19] ÖP Z T T,CHEN X. Experimental investigation of material removal mechanism in single grit grinding[J]. International Journal of Machine Tools and Manufacture,2012,63:32-40.
[20] CHEN X,ROWE W B. Analysis and simulation of the grinding process. Part Ⅱ:Mechanics of grinding[J]. International Journal of Machine Tools & Manufacture,1996,36(8):883-896.