Effects of dressed wheel topography on patterned surface textures and grinding force

ORIGINAL ARTICLE
  • 106 Downloads

Abstract

This paper presents a series of analytical and experimental investigations into the patterning effect of a grinding wheel-dressed surface on workpiece surface texture and grinding forces. An analytical model is built for the profile of the dressing tip and utilized to describe the kinematics of the dressing process on the grinding wheel surface. The model also reflects the ground workpiece surface texture. The model describes patterned surface textures according to ridge width, ridge length, texture angle, and ridge function parameters. Comparison against modeled and measured values strongly suggests that conventional dressing and grinding processes can be pre-determined via the proposed model to generate a patterned workpiece surface. The measured grinding forces are investigated as they relate to tangential and normal components at a series of dressing and grinding parameters; these two components increase dramatically as dressing overlap ratio increases, nearly regardless of dressing depth. Under a given workpiece velocity, the measured forces are much greater at overlap ratio of 6 than at ratios of 1 or 3. There is an average difference of only 5.8% for all grinding forces. Conversely, the measured tangential and normal grinding forces increase markedly as workpiece velocity increases at a specific dressing overlap ratio. Dressing overlap ratio of 1~3 is recommended for generating patterned texture surfaces in a conventional grinding process. Grinding force ratio can serve to monitor the patterned grinding process (error within 12.9%) under the conditions discussed here.

Keywords

Pattern surface textures Grinding Dressing Grinding force 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gropper D, Wang L, Harvey TJ (2015) Hydrodynamic lubrication of textured surfaces: a review of modeling techniques and key findings. Tribol Int 94:509–529CrossRefGoogle Scholar
  2. 2.
    Li HN, Axinte D (2016) Textured grinding wheels: a review. Int J Mach Tool Manu 109:8–35CrossRefGoogle Scholar
  3. 3.
    Denkena B, Grove T, Göttsching T (2014) Enhanced grinding performance by means of patterned grinding wheels. Int J Adv Manuf Technol 77:1935–1941CrossRefGoogle Scholar
  4. 4.
    Mohamed AMO, Bauer R, Warkentin A (2014) A novel method for grooving and re-grooving aluminum oxide grinding wheels. Int J Adv Manuf Technol 273:715–725CrossRefGoogle Scholar
  5. 5.
    Stępień P (2011) Deterministic and stochastic components of regular surface texture generated by a special grinding process. Wear 271:514–518CrossRefGoogle Scholar
  6. 6.
    Nguyen AT, Butler DL (2008) Correlation of grinding wheel topography and grinding performance: a study from a viewpoint of three-dimensional surface characterisation. J Mater Process Tech 208:14–23CrossRefGoogle Scholar
  7. 7.
    Kim H, Ko TJ (2014) Simulation of micro-patterns engraved by grinding process with screw shaped wheel. Simul Model Pract Th 49:277–286CrossRefGoogle Scholar
  8. 8.
    Kim HC, Ko TJ (2015) Verification of simulation of surface texturing on planar surface by grinding. Int J of Precis Eng Man 16:225–231CrossRefGoogle Scholar
  9. 9.
    Denkena B, Leon LD, Wang B (2009) Grinding of microstructured functional surfaces: a novel strategy for dressing of microprofiles. Prod Eng 3:41–48CrossRefGoogle Scholar
  10. 10.
    Oliveira JFG, Bottene AC, FrancA TV (2010) A novel dressing technique for texturing of ground surfaces. CIRP Ann Manuf Technol 59:361–364CrossRefGoogle Scholar
  11. 11.
    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 37:758–764CrossRefGoogle Scholar
  12. 12.
    Doman DA, Warkentin A, Bauer R (2006) A survey of recent grinding wheel topography models. Int J Mach Tool Manu 46:343–352CrossRefGoogle Scholar
  13. 13.
    Durgumahanti USP, Singh V, Rao PV (2010) A new model for grinding force prediction and analysis. Int J Mach Tool Man 50:231–240CrossRefGoogle Scholar
  14. 14.
    Yao C, Wang T, Xiao W, Huang X, Ren J (2014) Experimental study on grinding force and grinding temperature of Aermet 100 steel in surface grinding. J Mater Process Tech 214:2191–2199CrossRefGoogle Scholar
  15. 15.
    Stępień P (2007) Grinding forces in regular surface texture generation. Int J Mach Tool Manu 47:2098–2110CrossRefGoogle Scholar
  16. 16.
    Malkin S, Guo CS (2008) Grinding technology: theory and application of machining with abrasive. Wiley, New YorkGoogle Scholar

Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  • Yueming Liu
    • 1
    • 2
  • Sheng Gong
    • 1
  • Jianyong Li
    • 1
    • 2
  • Jianguo Cao
    • 1
    • 2
  1. 1.School of Mechanical Electronic and Control Engineering, Beijing Jiaotong UniversityBeijingChina
  2. 2.Key Laboratory of Vehicle Advanced Manufacturing, Measuring, and Control TechnologyMinistry of EducationBeijingChina

Personalised recommendations