Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling

Sheet metal roll forming is a continuous bending process where metal strips pass through a series of rolls to achieve a specific cross-sectional profile. This technique is crucial in the automotive industry for producing high-strength, lightweight components with precision, consistency, and cost-effectiveness. This project aims to optimize Novelis’s aluminum roll forming process by employing Computer-Aided Engineering (CAE) tools, including UBECO Profil, AutoCAD, and Finite Element Analysis (FEA) software such as LS-DYNA. Initial simulations of a square tube profile identified key stations and led to performance enhancements through targeted adjustments. Stress and strain analyses demonstrated how operational factors, such as roll settings, influence section shapes and angles, facilitating the fine-tuning of roll forming station parameters. Using a Design of Experiments (DOE) framework, the study pinpointed critical factors to improve simulation accuracy and optimize roll forming settings. The results indicated that optimized stand height settings significantly improved the accuracy of the desired angles. These insights can be integrated within Novelis’ production line to boost production efficiency and roll performance. This research not only supports current operations, but also provides a foundation for future advancements in roll forming technology.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2024

Author dc:creator

• Kompella, Sarvagnya

Advisor dc:contributor.advisor

• Hardt, David E.

Statement dc:rights

• Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
• Copyright retained by author(s)

Licence dc:rights.uri

• https://creativecommons.org/licenses/by-nc-nd/4.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/157150

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/157150