arrow
返回

Developments towards a Multiscale Meshless Rolling Simulation System

delete2021-07-30
delete3
delete
OA
AI
U
Umut Hanoglu *
B
Božidar Šarler
DOI:10.3390/ma14154277delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
The purpose of the present paper is to predict the grain size of steel during the hot-rolling process. The basis represents a macroscopic simulation system that can cope with temperatures, stresses and strains of steel in a complete continuous rolling mill, including reversible pre-rolling and finishing rolling with several tenths of rolling passes. The grain size models, newly introduced in the present paper, are one-way coupled to the macro-scale calculations performed with the slice model assumption. Macroscale solution is based on a novel radial basis function collocation method. This numerical method is truly meshless by involving the space discretization in arbitrarily distributed nodes without meshing. A new efficient node generation algorithm is implemented in the present paper and demonstrated for irregular domains of the slice as they appear in different rolling passes. Multiple grain size prediction models are considered. Grain size prediction models are based on empirical relations. Austenite grain size at each rolling pass as well as the ferrite grain size at the end of rolling are predicted in this simulation. It is also shown that based on the rolling schedule, it is highly likely that recrystallization takes place at each pass throughout a continuous rolling mill. The simulation system is coded as a user-friendly computer application for industrial use based on programming language C# and an open source developer platform NET and runs on regular personal computers the computational time for a typical rolling simulation is usually less than one hour and can thus be straightforwardly used to optimize the rolling mill design in a reasonable time.
Keyword:
meshless methods
radial basis functions
hot rolling
steel
recrystallization
austenite grain size
ferrite grain size
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Materials 封面图
Materials
IF:
3.2
论文数:
5.7W
被引数:
15.1W

机构

I
institute of metals & technology - slovenia
学者数:
205
论文数: 238
被引数: 0
引用论文

引用论文

Comparison of EBSD and conventional methods of grain size measurement of hardmetals
err2009-03-01
err132
PREAI
errMingard, K. P.; Roebuck, B.; Bennett, E. G.; Gee, M. G.; Nordenstrom, H.; Sweetman, G.; Chan, P.
err分享
err收藏
err分享
err收藏
err分享
err收藏
Single NN pair luminescence and single photon generation in nitrogen δ‐doped GaP
err2008-12-11
err0
PREAI
errMichio Ikezawa; Yoshiki Sakuma; Masato Watanabe; Yasuaki Masumoto
err分享
err收藏
学者 查看更多内容