Searching for abrasive wheels characteristics to improve grinding quality of parts from alloy 1933T2

DOI

10.2991/avent-18.2018.71How to use a DOI?

Keywords

flat grinding; aluminum alloy; abrasive wheel; nonparametric statistics; fuzzy logic

Abstract

Selection of optimization results of abrasive wheels characteristics of the surface quality with fuzzy logic involvement are carried out in flat grinding conditions of high-strength aluminum alloy 1933T2 parts. The quality of grinded surfaces was evaluated using three groups of parameters: roughness, indicators of flatness deviations, microhardness; each of them is represented by measures of position and dispersion: the median and quartile latitudes. Statistical methods do not have complex analysis capability of a large number of process output parameters. According to the results of fuzzy logic modeling in MATLAB environment, it was found that the best cutting abilities of abrasive wheels as a whole complex of the studied parameters during grinding of parts of high-strength aluminum alloy 1933T2 were predicted for high porous wheels of silicon carbide green 08C046I12V01P02 and 39C46I12VP with the «good» rating, and the worst - for sinter-corundum 5SG46K12VXP.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yakov Iosifovich Soler
AU  - Nguyen Chi Kien
PY  - 2018/05
DA  - 2018/05
TI  - Searching for abrasive wheels characteristics to improve grinding quality of parts from alloy 1933T2
BT  - Proceedings of the International Conference "Aviamechanical engineering and transport" (AVENT 2018)
PB  - Atlantis Press
SP  - 365
EP  - 369
SN  - 2352-5401
UR  - https://doi.org/10.2991/avent-18.2018.71
DO  - 10.2991/avent-18.2018.71
ID  - Soler2018/05
ER  -