Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 1

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: multi-parameter surface analysis

Sortuj według:

Ogranicz wyniki do:

Multi-parameter analysis and modelling of engineering surface texture

Petropoulos G. P.

Journal of Achievements in Materials and Manufacturing Engineering

2007

Vol. 24, nr 1

91-100

Purpose: Owing to the complexity of machined surface profiles and the contemporary demands for functional characterization, multi-parameter analysis of roughness is recommended by international surface methodology standards, as well as by recent research studies. This article is aimed at presenting a retrospect of works reported by the author on aspects of machined surfaces along with modelling of various texture parameters. Design/methodology/approach: Multi-parameter surface analyses according to the international standards ISO 13565-2: 1997, ISO 12085: 1996 and ISO 13565-2:1996, and with the use of non-standardized parameters as well, are performed on turned and EDM' ed surfaces of different metallic materials over a wide range of machining conditions in order to study: conventional and functional parameter characterization, texture variability, anisotropy and the impact of machining factors on texture parameters. The ultimate goal will be a contribution to surface typology and proposals for selecting representative subsets of parameters in each case considered. Findings: The correlation of each parameter selected is examined with the machining conditions; single and multi-statistical regression models with varying correlation coefficients are developed. New indices to evaluate surface texture anisotropy are proved to be successful. New typology maps for surface control are developed and reduction of roughness parameters in appropriate subsets is achieved. Research limitations/implications: A systematic study of the variation of the parameters selected is conducted regarding three international standards and some "non-common" parameters. Practical implications: Industrial control will benefit by the formulated parameter models, which possess very high coefficients of correlation and a minimum number of representative texture parameters. Originality/value: An integrated view of surfaces obtained by machining processes with quite different physical characteristics and chip formation mechanisms is achieved in the present surface typology oriented study.