Prediction Model of Milling Surface Roughness Based on Regression Analysis

DOI

10.2991/snce-18.2018.113How to use a DOI?

Keywords

Surface roughness; High speed milling; Multiple regression analysis; Prediction model

Abstract

Based on the orthogonal test results, a prediction model for surface roughness of high-speed milling work-piece with ring cutter is established by regression analysis method, the regression equation and coefficient of the model are tested for significance. The model is highly significant for the prediction of surface roughness. The effect of milling amount on the surface roughness is studied through the analysis of the orthogonal test intuitionistic diagram. It provides a reliable basis for the rational selection of milling parameters.

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  - Ying Chen
AU  - Yanhong Sun
AU  - Han Lin
AU  - Bing Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Prediction Model of Milling Surface Roughness Based on Regression Analysis
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 557
EP  - 560
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.113
DO  - 10.2991/snce-18.2018.113
ID  - Chen2018/05
ER  -