Modeling Relative Contact Bearing Area of Titanium Parts during Grinding

DOI

10.2991/avent-18.2018.72How to use a DOI?

Keywords

artificial neural network; grinding; modeling; relative contact bearing area; titanium alloy

Abstract

The models of multivariate analysis of variance and models of artificial neural networks based on the D-optimal design of experiment were carried out to predict the relative contact bearing area (tfМ, %) of the parts from titanium alloy VT22 during grinding. Parameter tfМ of part surface, measured using digital technologies, was sensitive to the variation of the technological parameters of the grinding mode. As a result of the analysis, the decrease of technological parameters is not always accompanied by the increase of the predicted value of the relative contact bearing area. In this case, with the aim of increasing the process productivity and the relative contact bearing area of ground surfaces, the parts from titanium alloy VT22 are recommended to grind by the following modes: for rough stage – sl = 5-12 m/min, scr = 9-10 mm/double stroke, t = 0.02 mm, z = 0.3 mm; and for finishing stage – sl = 18 m/min, scr = 4 mm/double stroke, t = 0.006 mm, z = 0.1 mm.

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/).

Download article (PDF)

TY  - CONF
AU  - Yakov Iosifovich Soler
AU  - Nguyen Van Le
AU  - Mai Dinh Si
AU  - Denis Yurievich Kazimirov
PY  - 2018/05
DA  - 2018/05
TI  - Modeling Relative Contact Bearing Area of Titanium Parts during Grinding
BT  - Proceedings of the International Conference "Aviamechanical engineering and transport" (AVENT 2018)
PB  - Atlantis Press
SP  - 370
EP  - 375
SN  - 2352-5401
UR  - https://doi.org/10.2991/avent-18.2018.72
DO  - 10.2991/avent-18.2018.72
ID  - Soler2018/05
ER  -