CIRP Encyclopedia of Production Engineering

2014 Edition
| Editors: The International Academy for Production Engineering, Luc Laperrière, Gunther Reinhart

Functional Correlation

Reference work entry
DOI: https://doi.org/10.1007/978-3-642-20617-7_16692

Synonyms

Definition

Functional correlation in surface metrology refers to the relations between the surface and phenomena that influence or are influenced by the topography. Establishing functional correlations is one of the principal objectives of research in surface metrology.

Theory and Application

There are two kinds of functional correlations. These are called correlations of the first kind when they are between phenomena that created or modified the surface and the topography. They are called correlations of the second kind when they are between the topography and behavior, or performance, of the surface (Fig. 1).
This is a preview of subscription content, log in to check access

References

  1. ASME B46.1-2009 (2009) Surface texture (Roughness, Waviness and Lay), The American society of mechanical engineers, New YorkGoogle Scholar
  2. Berglund J, Agunwamba C, Powers B, Brown CA, Rosén B-G (2010) On discovering relevant scales in surface roughness measurement. An evaluation of a band-pass method. Scanning 32:244–249Google Scholar
  3. Berglund J, Brown CA, Rosén B-G, Bay N (2010b) Milled die steel surface roughness correlation with steel sheet friction. CIRP Ann – Manuf Technol 59(1):577–580CrossRefGoogle Scholar
  4. Black JT, Kohser RA (2012) DeGarmo’s materials and processes in manufacturing, 11th edn. Wiley, Hoboken, p 1037Google Scholar
  5. Brown CA (1983) Practical method for estimating machining forces from tool-chip contact area. CIRP Ann – Manuf Technol 32(1):91–95CrossRefGoogle Scholar
  6. Brown CA (2000) Issues in modeling machined surface textures. Machining Sci Technol 4(3):539–546CrossRefGoogle Scholar
  7. Brown CA, Siegmann S (2001) Fundamental scales of adhesion and area-scale fractal analysis. Int J Mach Tools Manuf 41:1927–1933CrossRefGoogle Scholar
  8. Brown CA, Johnsen WA, Butland RM (1996) Scale-sensitive fractal analysis of turned surfaces. Ann CIRP 45(1):515–518CrossRefGoogle Scholar
  9. Gambino C, McLaughlin P, Kuo L, Kammerman F, Shenkin P, Diaczuk P, Petraco N, Hamby J, Petraco NDK (2011) Forensic surface metrology: tool mark evidence. Scanning 33(1–7):272CrossRefGoogle Scholar
  10. Koshy P, Tovey J (2011) Performance of electrical discharge textured cutting tools. CIRP Ann Manuf Technol 60:153–156CrossRefGoogle Scholar
  11. Scott RS, Ungar PS, Bergstrom TS, Brown CA, Grine FE, Teaford MF, Walker A (2005) Dental microwear texture analysis within-species diet variability in fossil hominins. Nature 436(4):693–695CrossRefGoogle Scholar
  12. Stemp WJ, Childs BE, Vionnet S, Brown CA (2009) Quantification and discrimination of lithic use-wear: surface profile measurements and length-scale fractal analysis. Archaeometry 51(3):366–382CrossRefGoogle Scholar

Copyright information

© CIRP 2014

Authors and Affiliations

  1. 1.Worcester Polytechnic instituteWorcesterUSA