Open this publication in new window or tab >>2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]
With the increased focus on reducing carbon emissions in today’s society, several industries have to overcome new challenges, where especially the automotive industry is under a lot of scrutiny to deliver improved and more environmentally friendly products. To meet the demands from customers and optimize vehicles aerodynamically, new cars often contain complex body geometries, together with advanced materials that are introduced to reduce the total vehicle weight. With the introduction of the complex body components and advanced materials,one area in the automotive industry that has to overcome these challenges is manufacturing engineering, and in particular the departments working with the sheet metal forming process. In this process complex body component geometries can lead to non-linear strain paths and stretch bending load cases, and newly introduced advanced materials can be prone to exhibit behaviour of edge cracks not observed in conventional sheet metals. This thesis takes it onset in the challenges seen in industry today with predicting failure of the three complex load cases: Non-Linear Strain Paths, Stretch-Bending,and Edge Cracks. Through Finite Element simulation attempts are made to accurately predict failure caused by aforementioned load cases in industrial components or experimental setups in an effort to develop post-processing methods that are applicable to all cases.
Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2023. p. 125
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 3
Keywords
Sheet Metal Forming, Failure Prediction, Non-Linear Strain Paths, Stretch-Bending, Edge Effects
National Category
Mechanical Engineering Applied Mechanics
Research subject
Mechanical Engineering
Identifiers
urn:nbn:se:bth-24300 (URN)978-91-7295-451-9 (ISBN)
Presentation
2023-04-06, J1630, Valhallavägen 1, Karlskrona, 10:00 (English)
Opponent
Supervisors
Funder
Vinnova, 2020-02986
2023-02-272023-02-222023-04-19Bibliographically approved