Automatic identification of feed marks in machined surface roughness profiles by correlating random variations

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• 作者：Paul R. Provencher ; Marek Balaziski
• 关键词：Machining ; Surface roughness ; Tool marks ; Metal cutting ; Surface finish typology
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：82
• 期：5-8
• 页码：1305-1315
• 全文大小：3,374 KB
• 参考文献：1.Brown CA (2012) Roughness. In: Bruce RW (ed) Handbook of lubrication and tribology. doi:10.​1201/​b12265-5 . CRC Press, II
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  4.ISO 12085:1996 (1996) Geometrical product specifications (GPS)—surface texture: Profile method—motif parameters. Standard, International Organization for Standardization, Geneva, CH
  5.ISO 25178-2:2012 (2012) Geometrical product specifications (GPS)—surface texture: Areal—part 2: Terms, definitions and surface texture parameters. Standard, International Organization for Standardization, Geneva, CH
  6.ISO 4287:1997 (1997) Geometrical product specifications (GPS)—surface texture: Profile method—terms, definitions, and surface texture parameters. Standard, International Organization for Standardization, Geneva, CH
  7.ISO/TS 16610-29:2006 (2006) Geometrical product specifications (GPS)—filtration—part 29: Linear profile filters: Spline wavelets. Standard, International Organization for Standardization, Geneva, CH
  8.Petropoulos GP, Pandazaras CN, Davim JP (2010) Surface texture characterization and evaluation related to machining. In: Davim JP (ed) Surface Integrity in Machining. Springer, London, pp 37–66
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• 作者单位：Paul R. Provencher (1)
  Marek Balaziski (1)
  
  1. Department of Mechanical Engineering, Polytechnique Montréal, 2900 Boulevard Édouard-Montpetit, Montréal, QC, H3T 1J4, Canada
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

A new method is detailed to identify the positions of the ends of the tool marks in linear surface roughness profiles. No feed mark shape must be assumed and the process is entirely automated. The approach may find applications in automated quality control, surface texture classification, and modeling of metal cutting processes. Validation was done with 40 finish hard turning specimens. The method relies on the justified hypotheses that a feed mark profile is a superposition of a fixed and a random component, and that the random component has a spatial period equal to one feed mark length. A brief typology of tool mark particularities revealed by the method is presented as well as observations on the correlation of the random events within marks and between marks, both at short and at long range. Feed marks difficult to identify by visual inspection were easily identified with the method and evidence of overlapping tool marks and unstable regions was discovered. The limits of the method are also explored.