Modelling and intelligent optimisation for hot-rolling roll changes of high-speed tool steel rod and wire. (4th April 2022)

• Record Type: Journal Article
• Authors: Chen, Jinxiang; Yin, Yilan; Li, Can; Chen, Yanjin; Song, Jinjun; Shi, Yimin
• Is Part Of: International journal of modelling, identification and control. Volume 38:Number 1(2021)
• Page Start: 74
• Page End: 80
• Publication Date: 2022-04-04
• Subjects: high-speed tool steel rod and wire -- hot continuous rolling -- roll changes optimisation -- ant colony algorithm -- genetic algorithm; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

Abstract

The production of high-speed tool steel rod and wire is characterised by multiple varieties and small batches. The optimisation of roll change times of hot continuous rolling mill must be considered during production scheduling. Otherwise, frequent roll changes will lead to the decrease of work efficiency and the huge increase of production cost. In order to solve the above problems, an optimal model with multi-constraints is established, and a HACA to optimise the number of roll changes is presented by considering various factors of the hot continuous rolling and roll changing process in this paper. By comparing and analysing the single model GA, ACA, and empirical method in a special steel factory, it can be found that the optimised roll change times are better than the original empirical roll change times, which improves the production efficiency and reduces the labour cost.