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oai:dspace.mit.edu:1721.1/1571502024-10-10T03:45:54Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Hardt, David E. Kompella, Sarvagnya Massachusetts Institute of Technology. Department of Mechanical Engineering 2024-10-09T18:24:35Z 2024-10-09T18:24:35Z 2024-09 2024-09-25T15:54:03.832Z https://hdl.handle.net/1721.1/157150 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. M.Eng. Massachusetts Institute of Technology Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Copyright retained by author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/ Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling Thesis application/pdf Master Master of Engineering in Advanced Manufacturing and Design Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="5a2eae5f-5a45-4a68-8cdd-c1896f814ae6"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Title>Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2024-09</PublicationDate> <Authors> <Author> <DisplayName>Kompella, Sarvagnya</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Abstract>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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>