Multi-response optimisation design of parameters for cold ring rolling process using fuzzy-grey method
by Lanyun Li; Xiao Li; Jing Liu; Zhi He
International Journal of Materials and Product Technology (IJMPT), Vol. 50, No. 2, 2015

Abstract: Cold ring rolling (CRR) is a complex metal forming process with continuous and local three-dimension metal flow under coupled effects with multi-factors, which includes geometry sizes of rolls and ring blank, material properties, speed parameters, friction conditions, etc. In this paper, a multi-response optimisation design for the forming parameters of opened-pass plain CRR process is proposed to obtain the desired quality and precision of the deformed ring. Sixteen virtual orthogonal experimental arrays with five control factors (the radii R_D and the rotational speed n_D of the driving roll, the radii R_M and the feed rate v_M of the mandrel, and the friction coefficient µ) are designed based on Taguchi methodology, and four responses (the average spread AS, the fishtail coefficient FC, the equivalent plastic strain distribution SDP and the maximum rolling force MaxRF) are measured according to three-dimension finite element numerical simulation. Moreover, a novel fuzzy-grey optimisation design method, which can effectively deal with the uncertain nature of the measured data and observably reduce the analysis cost by parallel computing, is proposed by integrating grey relational analysis with fuzzy relational analysis. The investigation clearly shows that the proposed method can serve as a valuable guideline to optimise the forming parameters of the CRR process.

Online publication date: Thu, 05-Mar-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Materials and Product Technology (IJMPT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com