Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree

In present paper, aim to some problems such as big material removal rate, serious tool wear and obvious plastic deformation during disc-milling grooving, the orthogonal experiment with three factors and three levels was designed. First, the multi-objective optimization was converted to single-object...

Full description

Bibliographic Details
Format: Article
Language:zho
Published: The Northwestern Polytechnical University 2018-02-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
Online Access:https://www.jnwpu.org/articles/jnwpu/pdf/2018/01/jnwpu2018361p139.pdf
id doaj-1e1d5eae583643cdad125efa3643ff53
record_format Article
spelling doaj-1e1d5eae583643cdad125efa3643ff532021-05-03T01:30:51ZzhoThe Northwestern Polytechnical UniversityXibei Gongye Daxue Xuebao1000-27582018-02-0136113914810.1051/jnwpu/20183610jnwpu2018361p139Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation DegreeIn present paper, aim to some problems such as big material removal rate, serious tool wear and obvious plastic deformation during disc-milling grooving, the orthogonal experiment with three factors and three levels was designed. First, the multi-objective optimization was converted to single-objective optimization based on grey correlation analysis, the influence weight of material removal rate, tool life and the depth of residual stress layer on grey correlation degree was determined via principal component analysis. Second, by means of regression analysis of experiment data, the prediction model of grey correlation degree and technological parameters was developed. Accordingly, the variation of material removal rate, tool life, the depth of residual stress layer and grey correlation degree resulted from the various technological parameter were studied. Further, the optimization scheme of technological parameter was put forward. Finally, the technological parameters were optimized with response surface methodology. And then, the disc-milling grooving experiment was carried out. The experiment results showed that material removal rate can be improved significantly under the condition of meeting the request of tool life and the depth of residual stress layer.https://www.jnwpu.org/articles/jnwpu/pdf/2018/01/jnwpu2018361p139.pdfdisc-milling groovinggrey correlation degreeparameter optimizationmaterial removal ratetool lifedesign of experimentsmultiobjective optimization
collection DOAJ
language zho
format Article
sources DOAJ
title Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree
spellingShingle Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree
Xibei Gongye Daxue Xuebao
disc-milling grooving
grey correlation degree
parameter optimization
material removal rate
tool life
design of experiments
multiobjective optimization
title_short Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree
title_full Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree
title_fullStr Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree
title_full_unstemmed Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree
title_sort technological parameter optimization of disc-milling grooving of titanium alloy based on grey correlation degree
publisher The Northwestern Polytechnical University
series Xibei Gongye Daxue Xuebao
issn 1000-2758
publishDate 2018-02-01
description In present paper, aim to some problems such as big material removal rate, serious tool wear and obvious plastic deformation during disc-milling grooving, the orthogonal experiment with three factors and three levels was designed. First, the multi-objective optimization was converted to single-objective optimization based on grey correlation analysis, the influence weight of material removal rate, tool life and the depth of residual stress layer on grey correlation degree was determined via principal component analysis. Second, by means of regression analysis of experiment data, the prediction model of grey correlation degree and technological parameters was developed. Accordingly, the variation of material removal rate, tool life, the depth of residual stress layer and grey correlation degree resulted from the various technological parameter were studied. Further, the optimization scheme of technological parameter was put forward. Finally, the technological parameters were optimized with response surface methodology. And then, the disc-milling grooving experiment was carried out. The experiment results showed that material removal rate can be improved significantly under the condition of meeting the request of tool life and the depth of residual stress layer.
topic disc-milling grooving
grey correlation degree
parameter optimization
material removal rate
tool life
design of experiments
multiobjective optimization
url https://www.jnwpu.org/articles/jnwpu/pdf/2018/01/jnwpu2018361p139.pdf
_version_ 1721485913489408000