Single-objective linear optimization evaluation of used continuous casting and cutting

Donglin Wang; Feifei Xing; Xiangming Kong; Jun Ji

doi:10.1117/12.3007066

25 October 2023 Single-objective linear optimization evaluation of used continuous casting and cutting

Donglin Wang, Feifei Xing, Xiangming Kong, Jun Ji

Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280154 (2023) https://doi.org/10.1117/12.3007066
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China

Abstract

Continuous casting and cutting technology plays an important role in industrial production. During continuous casting and cutting, how to meet the actual operation requirements and achieve the customer's target value as much as possible with the minimum loss is the central element of the cutting plan design. This paper guides the determination or adjustment of the cutting plan by establishing a single-objective linear programming mathematical model. For problem 1, set the decision variable as the cutting length of each section of billet, and Z as the objective function. Combined with the basic requirements and normal requirements, the specific model is as follows: Z = min ∑(l +|l₁ − 9.5| + |l₂ −9.5|+. . . |l_k −9.5|) , st 9≤ l _i ≤10; l+l₁ +l₂ +...+l_k =L; 4.8≤ l ≤ 9. The above model is realized through matlab programming, and the cutting plan is obtained by inputting different lengths of tail blanks. On this basis, the cutting length and loss are manually fine-tuned according to the actual situation, and the optimal plan is obtained.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Donglin Wang, Feifei Xing, Xiangming Kong, and Jun Ji "Single-objective linear optimization evaluation of used continuous casting and cutting", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280154 (25 October 2023); https://doi.org/10.1117/12.3007066

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available