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Mathematical Problems in Engineering
Volume 2018, Article ID 5048387, 7 pages
Research Article

Surface Performance Multiobjective Decision of a Cold Roll-Beating Spline with the Entropy Weight Ideal Point Method

F. K. Cui,1,2 F. Liu,1,2 Y. X. Su,1,2 X. L. Ruan,1,2 S. K. Xu,1,2 and L. B. Liu1,2

1School of Mechatronics Engineering, Henan University of Science and Technology, Henan, China
2Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471003, China

Correspondence should be addressed to F. Liu; moc.361@71540170iefuil

Received 21 September 2017; Revised 31 January 2018; Accepted 5 February 2018; Published 4 March 2018

Academic Editor: Nunzio Salerno

Copyright © 2018 F. K. Cui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Surface performance is an important indicator of the performance of cold roll-beating spline processing. To obtain the best cold roll spline surface performance (surface roughness, residual stress, and surface hardening degree), multiobjective optimal process parameters must be determined. To this end, this paper takes the cold roll-beating spline as the object of study and carries out a cold roll-beating spline surface performance test study. An ideal algorithm for entropy weight is constructed, and the multiobjective decision of the cold roll-beating spline surface performance is determined by using the entropy weight ideal point algorithm, providing a decision on the cold roll-beating spline processing parameters. The grey correlation algorithm is used for verification, and the results show that the multiobjective decision of the cold roll-beating spline surface performance is feasible by using the constructed entropy weight ideal point algorithm.