The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Multi-Objective Genetic Algorithms for Optimizing Cold Roll Forming of Advanced High Strength Steels
|
|
Author(s): Dayanand Yesane (Department of Mechanical Engineering, Dr. D.Y. Patil Institute of Technology, Pune, India)and Rupesh Bhortake (Department of Mechanical Engineering, Marathwada Mitra Mandal's Institute of Technology, Pune, India)
Copyright: 2025
Pages: 24
Source title:
Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials
Source Author(s)/Editor(s): Kamalakanta Muduli (Papua New Guinea University of Technology, Papua New Guinea), Bikash Ranjan Moharana (Papua New Guinea University of Technology, Papua New Guinea), Steve Korakan Ales (Papua New Guinea University of Technology, Papua New Guinea)and Dillip Kumar Biswal (Aryan Institute of Engineering and Technology, Bhubaneswar, India)
DOI: 10.4018/979-8-3693-7974-5.ch013
Purchase
|
Abstract
The roll forming of Advanced High Strength Steels (AHSS) is characterized by several challenges, mainly because of their specific mechanical properties: springback, tool wear, material fracture, and lubrication inefficiencies. This chapter presents an optimized manufacturing process using MOGAs, balancing opposing objectives like low springback and tool life by utilizing MOGAs. The study examines the impact of advanced tooling materials, coatings, finite element analysis process simulations, and lubrication techniques on joint effect. Case studies demonstrate successful application of solutions, resulting in higher quality products, reduced costs, and improved operational efficiency. The proposed approach will enhance the durability and strength-to-weight ratio of AHSS, thereby overcoming the limitations of the cold roll forming technique, thereby enabling its wider industrial applications in automotive and construction sectors.
Related Content
|
Poshan Yu, Yi Lu, Akhilesh Chandra Prabhakar, Vasilii Erokhin, Shengyuan Lu, Kelin Guo.
© 2025.
38 pages.
|
|
Akhilesh Chandra Prabhakar.
© 2025.
36 pages.
|
|
S. Srinivasan, R. Vallipriya, Ajay Kumar Singh.
© 2025.
38 pages.
|
|
S. Srinivasan, R. Vallipriya, Ajay Kumar Singh.
© 2025.
34 pages.
|
|
Muhammad Usman Tariq.
© 2025.
28 pages.
|
|
B. C. M. Patnaik, Ipseeta Satpathy, Vishal Jain.
© 2025.
32 pages.
|
|
Hemlata Parmar, Utsav Krishan Murari.
© 2025.
30 pages.
|
|
|