Modeling and Optimization of Caliber Rolling Process

[+] Author and Article Information
Su-Hai Hsiang

Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan, ROCshhsiang@mail.ntust.edu.tw

Sheng-Li Lin

Department of Mechanical Engineering, DE-LIN Institute of Technology, 1,380 LN, Chin-Yung Road, Tu-cheng, Taipei County, Taiwan, ROCshengli@dlit.edu.tw

J. Manuf. Sci. Eng 129(1), 77-83 (Feb 09, 2006) (7 pages) doi:10.1115/1.2280587 History: Received October 15, 2003; Revised February 09, 2006

In practice of caliber rolling, it is highly desirable to obtain optimal processing parameters to achieve the best quality in a short time. A sophisticated and faster simulation model of caliber rolling is proposed, and then a global optimal searching method—simulated annealing algorithm (SA)—is applied to find the optimal processing parameters of caliber rolling. The simulation model of caliber rolling in this paper was established by the back-propagation neural network (BPNN) model, which replaces the complex numerical analytical model, proposed in an earlier paper. This replacement improved the speed of simulation significantly.

Copyright © 2007 by American Society of Mechanical Engineers
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Figure 1

A schematic diagram of a 2-Hi rolling mill

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Figure 2

Flow chart of complex numerical analytical model

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Figure 3

Bulging at exit for four different reduction ratios

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Figure 4

Grid distortion for 30% height reduction

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Figure 5

Comparison of true spread

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Figure 6

Comparison of maximum spread

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Figure 7

Comparison of roll separating force

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Figure 8

Comparison of rolling force

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Figure 9

The flow chart of SA

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Figure 10

The flow chart of a simulated procedure in this study

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Figure 12

The deformation grid for the optimal parameters

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Figure 13

The contour of the effective strain rate

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Figure 14

The contour of effective strain



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