Simulation of precision grinding process for predicting surface roughness

T. A. Nguyen, D. L. Butler

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

A numerical approach is proposed for the simulation of a precision grinding process. The approach takes into consideration the non-Gaussian distribution of grain protrusion heights by simulating the grinding wheel topography as a random field. Furthermore, an algorithm is proposed to identify the active grains on the simulated grinding wheel topography. The cutting, ploughing or rubbing of the grains is determined by estimating the attack angle of the active grains. Then, the workpiece topography is generated by mapping the active grain topography into the workpiece surface, using the kinematics relationship between the grinding wheel and the workpiece. The workpiece surface roughness, predicted by the simulation is compared with the experimental result to justify the proposed approach.
LanguageEnglish
Title of host publicationProceedings of the 34th International MATADOR Conference
EditorsSrichand Hinduja
Place of PublicationHeidelberg
PublisherSpringer
Pages307-312
Number of pages6
ISBN (Electronic)9781447106470
DOIs
Publication statusPublished - 23 Sep 2004
Externally publishedYes
Event34th International MATADOR Conference - University of Manchester Institute of Science and Technology, Manchester, United Kingdom
Duration: 7 Jul 20049 Jul 2004

Conference

Conference34th International MATADOR Conference
CountryUnited Kingdom
CityManchester
Period7/07/049/07/04

Fingerprint

Surface roughness
Topography
Grinding wheels
Angle of attack
Kinematics

Keywords

  • precision grinding process
  • non-Gaussian distribution
  • wheel topography
  • active grains

Cite this

Nguyen, T. A., & Butler, D. L. (2004). Simulation of precision grinding process for predicting surface roughness. In S. Hinduja (Ed.), Proceedings of the 34th International MATADOR Conference (pp. 307-312). Heidelberg: Springer. https://doi.org/10.1007/978-1-4471-0647-0
Nguyen, T. A. ; Butler, D. L. / Simulation of precision grinding process for predicting surface roughness. Proceedings of the 34th International MATADOR Conference. editor / Srichand Hinduja. Heidelberg : Springer, 2004. pp. 307-312
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Nguyen, TA & Butler, DL 2004, Simulation of precision grinding process for predicting surface roughness. in S Hinduja (ed.), Proceedings of the 34th International MATADOR Conference. Springer, Heidelberg, pp. 307-312, 34th International MATADOR Conference, Manchester, United Kingdom, 7/07/04. https://doi.org/10.1007/978-1-4471-0647-0

Simulation of precision grinding process for predicting surface roughness. / Nguyen, T. A.; Butler, D. L.

Proceedings of the 34th International MATADOR Conference. ed. / Srichand Hinduja. Heidelberg : Springer, 2004. p. 307-312.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - A numerical approach is proposed for the simulation of a precision grinding process. The approach takes into consideration the non-Gaussian distribution of grain protrusion heights by simulating the grinding wheel topography as a random field. Furthermore, an algorithm is proposed to identify the active grains on the simulated grinding wheel topography. The cutting, ploughing or rubbing of the grains is determined by estimating the attack angle of the active grains. Then, the workpiece topography is generated by mapping the active grain topography into the workpiece surface, using the kinematics relationship between the grinding wheel and the workpiece. The workpiece surface roughness, predicted by the simulation is compared with the experimental result to justify the proposed approach.

AB - A numerical approach is proposed for the simulation of a precision grinding process. The approach takes into consideration the non-Gaussian distribution of grain protrusion heights by simulating the grinding wheel topography as a random field. Furthermore, an algorithm is proposed to identify the active grains on the simulated grinding wheel topography. The cutting, ploughing or rubbing of the grains is determined by estimating the attack angle of the active grains. Then, the workpiece topography is generated by mapping the active grain topography into the workpiece surface, using the kinematics relationship between the grinding wheel and the workpiece. The workpiece surface roughness, predicted by the simulation is compared with the experimental result to justify the proposed approach.

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Nguyen TA, Butler DL. Simulation of precision grinding process for predicting surface roughness. In Hinduja S, editor, Proceedings of the 34th International MATADOR Conference. Heidelberg: Springer. 2004. p. 307-312 https://doi.org/10.1007/978-1-4471-0647-0