Prediction of 3D Surface Roughness Using Regression Analysis and Fuzzy Logic, and their Comparative Analysis
2013
Artis Kromanis, Juris Krizbergs

Nowadays, more and more new quality standards are developed for manufactured components. One of these quality standards is the surface roughness, especially the 3D surface roughness. In manufacturing of parts, the manufacturer must strictly follow the assigned surface roughness values. It makes manufacturing complicated and requires additional control to be imposed on the components. For this reason, it is necessary to develop a technique or methodology that facilitates the control of the surface roughness in production and provides possibility to control the surface roughness according to the technological parameters.


Keywords
surface, roughness, prediction, regression, fuzzy logic

Kromanis, A., Krizbergs, J. Prediction of 3D Surface Roughness Using Regression Analysis and Fuzzy Logic, and their Comparative Analysis. Production and Engineering. Vol.35, 2013, pp.130-137. ISSN 1407-8015. e-ISSN 2255-8721.

Publication language
English (en)
The Scientific Library of the Riga Technical University.
E-mail: uzzinas@rtu.lv; Phone: +371 28399196