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Indexed by:期刊论文

Date of Publication:2013-01-01

Journal:INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY

Included Journals:SCIE、EI、Scopus

Volume:47

Issue:1-4

Page Number:103-125

ISSN No.:0268-1900

Key Words:heavy plate rolling; 3-D FE simulation; plate PVP control; V-H rolling; short stroke control; SSC; artificial neural network; ANN; regression analysis; plate edging model; compensation rolling model

Abstract:Basing on a 5 m heavy plate mill, a three-dimensional (3-D) rigid-plastic thermo-mechanical finite element (FE) model was developed to investigate plate plan view pattern (PVP) during hot rolling process. The vertical-horizontal (V-H) rolling was employed to improve plate PVP by preventing width spread. Basing on the FE simulation results of different V-H rolling processes, the plate edging model with short stroke control (SSC) was established with the aid of an artificial neural network (ANN). The compensation rolling was adopted to improve plate PVP by decreasing plate end convexity. The compensation rolling model was established on the basis of the plate PVP prediction model which was formulated by regression analysis of the simulation results of conventional rolling processes with different broadside rolling ratios. Simulation results showed that optimal combination of V-H rolling and compensation rolling can improve the plate PVP to a large extent.