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On the Failure Prediction of Dual-Phase Steel and Aluminium Alloys Exposed to Combined Tension and Bending
Volvo, SWE.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-7730-506x
Aalborg Universitet, DEN.
2019 (English)In: IOP Conference Series: Materials Science and Engineering / [ed] VanDenBoogaard, T; Hazrati, J; Langerak, N, Institute of Physics Publishing , 2019, Vol. 651, no 1, article id 012030Conference paper, Published paper (Refereed)
Abstract [en]

The interest in accurate prediction of failure of sheet metals in the automotive industry has increased significantly over the last two decades. This paper aims to evaluate two failure prediction approaches implemented in the commercial Finite Element code AutoFormplus R7.04; (i) the standard Forming Limit Diagram (FLD), and (ii) the Non-linear Forming Limit Diagram. The evaluation will be testing the two approaches accuracy on predicting failure of both an AA6016 aluminium alloy and a CR440Y780T-DP dual-phase steel alloy specimen exposed to combined tension and bending. Based on the findings of this study, it is concluded that neither of the evaluated approaches is able to accurately predict failure in both cases presented. © Published under licence by IOP Publishing Ltd.

Place, publisher, year, edition, pages
Institute of Physics Publishing , 2019. Vol. 651, no 1, article id 012030
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-19184DOI: 10.1088/1757-899X/651/1/012030ISI: 000562096600030Scopus ID: 2-s2.0-85078300914OAI: oai:DiVA.org:bth-19184DiVA, id: diva2:1392077
Conference
38th International Deep Drawing Research Group Annual Conference, IDDRG, Enschede; Netherlands, 3 June 2019 through 7 June 2019
Note

open access

Available from: 2020-02-06 Created: 2020-02-06 Last updated: 2023-02-22Bibliographically approved
In thesis
1. Failure Prediction of Complex Load Cases in Sheet Metal Forming: Emphasis on Non-Linear Strain Paths, Stretch-Bending and Edge Effects
Open this publication in new window or tab >>Failure Prediction of Complex Load Cases in Sheet Metal Forming: Emphasis on Non-Linear Strain Paths, Stretch-Bending and Edge Effects
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
Available from: 2023-02-27 Created: 2023-02-22 Last updated: 2023-04-19Bibliographically approved

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On the Failure Prediction of Dual-Phase Steel and Aluminium Alloys(1300 kB)284 downloads
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Sigvant, Mats

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