Prediction of Surface Roughness and Optimization of Cutting Parameters of Stainless Steel Turning Based on RSM
Joint Authors
Xiao, Maohua
Wei, Weihua
Shen, Xiaojie
Ma, You
Yang, Fei
Gao, Nong
Wu, Dan
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-02
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The turning test of stainless steel was carried out by using the central composite surface design of response surface method (RSM) and Taguchi design method of central combination design.
The influence of cutting parameters (cutting speed, feed rate, and cutting depth) on the surface roughness was analyzed.
The surface roughness prediction model was established based on the second-order RSM.
According to the test results, the regression coefficient was estimated by the least square method, and the regression equation was curve fitted.
Meanwhile, the significance analysis was conducted to test the fitting degree and response surface design and analysis, in addition to establishing a response surface map and three-dimensional surface map.
The life of the machining tool was analyzed based on the optimized parameters.
The results show that the influence of feed rate on the surface roughness is very significant.
Cutting depth is the second, and the influence of cutting speed is the least.
Therefore, the cutting parameters are optimized and tool life is analyzed to realize the efficient and economical cutting of difficult-to-process materials under the premise of ensuring the processing quality.
American Psychological Association (APA)
Xiao, Maohua& Shen, Xiaojie& Ma, You& Yang, Fei& Gao, Nong& Wei, Weihua…[et al.]. 2018. Prediction of Surface Roughness and Optimization of Cutting Parameters of Stainless Steel Turning Based on RSM. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1209535
Modern Language Association (MLA)
Xiao, Maohua…[et al.]. Prediction of Surface Roughness and Optimization of Cutting Parameters of Stainless Steel Turning Based on RSM. Mathematical Problems in Engineering No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1209535
American Medical Association (AMA)
Xiao, Maohua& Shen, Xiaojie& Ma, You& Yang, Fei& Gao, Nong& Wei, Weihua…[et al.]. Prediction of Surface Roughness and Optimization of Cutting Parameters of Stainless Steel Turning Based on RSM. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1209535
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209535