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RETRACTED ARTICLE: A novel approach to simulate surface topography based on motion trajectories and feature theories of abrasive grains

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This article was retracted on 06 July 2019

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Abstract

The method of combining simulations with experiments is used in this paper. Both traditional grinding and point grinding are considered as the research objects. The motion paths of grains in the point grinding process will completely differ from those in the traditional grinding process because of the non-zero inclination angle α. Thus, a coordinate transformation between the grinding wheel and the workpiece is performed. Then, a brand-new formation mechanism for a 3D workpiece surface is established by combining selected trajectories to simulate the formation of the surface. The interference trajectories are effectively screened by iterating over the cutting paths of all grains on the grinding wheel surface to improve the prediction accuracy for the machined surface. Both the surface features of the grinding wheel and the elastic-plastic deformation of the workpiece material are investigated and analyzed for the first time in this paper; they are considered in the motion trajectories of the abrasive grains to make the simulated grinding surface topography closer to that formed in the actual grinding process. The trend of the influence of the variable angle α on the surface roughness is obtained and analyzed. The comparison and analysis of the simulation and experimental results prove that the simulated surface quality of the grinding workpiece is consistent with that measured in a 3D microtopography analysis, and the curve shapes in the cross-section and surface roughness evaluations are also consistent. The surface quality of a grinding workpiece can be effectively predicted using this simulation method.

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Change history

  • 06 July 2019

    The authors have retracted this article [1]

  • 06 July 2019

    The authors have retracted this article [1]

References

  1. Ma LJ, Gong YD, Chen XH (2014) Study on surface roughness model and surface forming mechanism of ceramics in quick point grinding. Int J Mach Tools Manuf 77(2):82–92. https://doi.org/10.1016/j.ijmachtools.2013.11.001

    Article  Google Scholar 

  2. Yin GQ, Gong YD, Li YW, Wang F (2018) Investigation of the grinding temperature and subsurface quality of a novel point grinding wheel. Int J Adv Manuf Technol 97(17):1565–1581. https://doi.org/10.1007/s00170-018-2055-1

    Article  Google Scholar 

  3. Cao YL, Guan JY, Li B, Chen XL, Yang JX, Gan CB (2013) Modeling and simulation of grinding surface topography considering wheel vibration. Int J Adv Manuf Technol 66(5–8):937–945. https://doi.org/10.1007/s00170-012-4378-7

    Article  Google Scholar 

  4. Chen FJ, Yin SH, Huang H, Ohmori H (2015) Fabrication of small aspheric moulds using single point inclined axis grinding. Precis Eng 39:107–115. https://doi.org/10.1016/j.precisioneng.2014.06.009

    Article  Google Scholar 

  5. Uhlmann E, Koprowski S, Weingaertner WL, Rolon DA (2016) Modelling and simulation of grinding processes with mounted points: part I of II-grinding tool surface characterization. Procedia CIRP 46:599–602. https://doi.org/10.1016/j.procir.2016.03.205

    Article  Google Scholar 

  6. Zheng W, Zhou M, Zhou L (2017) Influence of process parameters on surface topography in ultrasonic vibration-assisted end grinding of SiCp/Al composites. Int J Adv Manuf Technol 91(5–8):2347–2358. https://doi.org/10.1007/s00170-016-9931-3

    Article  Google Scholar 

  7. Curtis DT, Soo SL, Aspinwall DK, Mantle AL (2016) Evaluation of workpiece surface integrity following point grinding of advanced titanium and nickel based alloys. Procedia CIRP 45:47–50. https://doi.org/10.1016/j.procir.2016.02.343

    Article  Google Scholar 

  8. Nguyen TA, Bulter DL (2005) Simulation of precision grinding process, part 2: interaction of the grain with the workpiece. Int J Mach Tools Manuf 45(11):1329–1336. https://doi.org/10.1016/j.ijmachtools.2005.01.006

    Article  Google Scholar 

  9. Doman DA, Warkentin A, Bauer R (2006) A survey of recent grinding wheel topography models. Int J Adv Manuf Technol 46(3):343–352. https://doi.org/10.1016/j.ijmachtools.2005.05.013

    Article  Google Scholar 

  10. Chen SS, Cheung CF, Zhao CY, Zhang FH (2016) Simulated and measured surface roughness in high-speed grinding of silicon carbide wafers. Int J Adv Manuf Technol 91(1–4):719–730. https://doi.org/10.1007/s00170-016-9805-8

    Article  Google Scholar 

  11. Agarwal S, Rao PV (2010) Modeling and prediction of surface roughness in ceramic grinding. Int J Mach Tools Manuf 50(12):1065–1076. https://doi.org/10.1016/j.ijmachtools.2010.08.009

    Article  Google Scholar 

  12. Anandita S, Mote RG, Singh R (2017) Surface generation via scallop overlap analysis during grinding. Int J Adv Manuf Technol 7:1–14. https://doi.org/10.1007/s00170-017-1395-6

    Article  Google Scholar 

  13. Tahvilian AM, Liu ZH, Champliaud H, Hazel B, Lagacé M (2015) Characterization of grinding wheel grain topography under different robotic grinding conditions using confocal microscope. Int J Adv Manuf Technol 80(5–8):1159–1171. https://doi.org/10.1007/s00170-015-7109-z

    Article  Google Scholar 

  14. Gong YD, Yin GQ, Wen XL, Han M, Yan JB, Cheng J (2015) Research on simulation and experiment for surface topography machined by a novel point grinding wheel. J Mech Sci Technol 29(10):4367–4378. https://doi.org/10.1007/s12206-015-0935-y

    Article  Google Scholar 

  15. Uhlmann E, Koprowski S, Weingaertner WL, Rolon DA (2016) Modelling and simulation of grinding processes with mounted points: part II of II—fast modelling method for workpiece surface prediction. Procedia CIRP 46:603–606. https://doi.org/10.1016/j.procir.2016.03.202

    Article  Google Scholar 

  16. Malkin S (1984) Grinding of metals: theory and application. J Appl Metal Work 3(2):95–109. https://doi.org/10.1007/BF02833688

    Article  Google Scholar 

  17. Fujimoto M, Ichida Y (2008) Micro fracture behavior of cutting edges in using single crystal CBN grains. Diam Relat Mater 17:1759–1763. https://doi.org/10.1016/j.diamond.2008.03.008

    Article  Google Scholar 

  18. Wang YS, Xiu SC, Sun C (2017) Study on surface topography of workpiece in prestress dry grinding. Int J Adv Manuf Technol 92(5–8):2043–2053. https://doi.org/10.1007/s00170-017-0308-z

    Article  Google Scholar 

  19. Mohamed AMO, Warkentin A, Bauer R (2011) Use of surface roughness measurements to improve the estimation of the heat partition in grinding. J Mater Process Technol 211(4):566–572. https://doi.org/10.1016/j.jmatprotec.2010.11.008

    Article  Google Scholar 

  20. Jiang JL, Ge PQ, Bi WB, Zhang L, Wang DX, Zhang Y (2013) 2D/3D ground surface topography modeling considering dressing and wear effects in grinding process. Int J Mach Tools Manuf 74(74):29–40. https://doi.org/10.1016/j.ijmachtools.2013.07.002

    Article  Google Scholar 

  21. Zahedi A, Azarhoushang B (2016) FEM based modeling of cylindrical grinding process incorporating wheel topography measurement. Procedia CIRP 46:201–204. https://doi.org/10.1016/j.procir.2016.03.179

    Article  Google Scholar 

  22. McDonald A, Mohamed AMO, Warkentin A, Bauer RJ (2017) Kinematic simulation of the uncut chip thickness and surface finish using a reduced set of 3D grinding wheel measurements. Precis Eng 49:169–178. https://doi.org/10.1016/j.precisioneng.2017.02.005

    Article  Google Scholar 

  23. Zhao T, Shi YY, Lin XJ, Duan JH, Sun PC, Zhang J (2014) Surface roughness prediction and parameters optimization in grinding and polishing process for IBR of aero-engine. Int J Adv Manuf Technol 74(5–8):653–663. https://doi.org/10.1007/s00170-014-6020-3

    Article  Google Scholar 

  24. Liu YM, Gong YD, Bauer R, Warkentin A (2012) Experimental and numerical investigation into workpiece surface topology in point grinding. Proc Inst Mech Eng B J Eng Manuf 226(11):1793–1800. https://doi.org/10.1177/0954405412458741

    Article  Google Scholar 

  25. Liu YM, Warkentin A, Bauer R, Gong YD (2013) Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations. Precis Eng 37(3):758–764. https://doi.org/10.1016/j.precisioneng.2013.02.009

    Article  Google Scholar 

  26. Liu YM, Gong S, Li JY, Cao JG (2017) Effects of dressed wheel topography on patterned surface textures and grinding force. Int J Adv Manuf Technol 93:1751–1760. https://doi.org/10.1007/s00170-017-0647-9

    Article  Google Scholar 

  27. Wang WS, Su C, Yu TB, Zhu LD (2009) Modeling of virtual grinding wheel and its grinding simulation. Key Eng Mater 416:216–222. https://doi.org/10.4028/www.scientific.net/KEM.416.216

    Article  Google Scholar 

  28. Chen X, Rowe WB (1996) Analysis and simulation of the grinding process. Part II: mechanics of grinding. Int J Mach Tools Manuf 36(8):883–896. https://doi.org/10.1016/0890-6955(96)00117-4

    Article  Google Scholar 

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Funding

This work was partially supported by the National Natural Science Foundation of China [grant number 51775192], the Science & Technology Research Program of Guangdong, China [grant number 2015A030313590, 2015B090922010], and the Program for Scientific and Technological Innovation in Shenzhen, China [grant number JCYJ20160415113818087].

Author information

Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640, China

    Hui-Qun Chen & Qing-Hui Wang

  2. School of Mechanical and Electrical Engineering, Shenzhen Institute of Information Technology, Shenzhen, 518172, China

    Hui-Qun Chen

Authors
  1. Hui-Qun Chen
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  2. Qing-Hui Wang
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Corresponding author

Correspondence to Qing-Hui Wang.

Additional information

The authors have retracted this article. After publication it was discovered there have been technical errors in the implementation of the simulation algorithms. This has led to inaccuracies in the simulated surface topographies (Fig. 11, Fig.15) in Section 4 and Section 5. This has also affected the comparison data in Fig. 16 and Fig. 17. Therefore the conclusions are no longer reliable. All authors agree with this retraction.

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Chen, HQ., Wang, QH. RETRACTED ARTICLE: A novel approach to simulate surface topography based on motion trajectories and feature theories of abrasive grains. Int J Adv Manuf Technol 99, 1467–1480 (2018). https://doi.org/10.1007/s00170-018-2590-9

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  • DOI: https://doi.org/10.1007/s00170-018-2590-9

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