PSI - Issue 19

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000–000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000–000

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 19 (2019) 698–710

Fatigue Design 2019 Fatigue life prediction of injection moulded short glass fiber reinforced plastics Marc J.W. Kanters a *, Lucien F.A. Douven a , Pierre Savoyat b a DSM Materials Science Center, P.O. Box 1066, 6160 BB Geleen, The Netherlands b e-Xstream Engineering, Axis Park, Rue Emile Francqui, 9, 1435 Mont-Saint-Guibert, Belgium Abstract This work presents a framework that combines experimental and numerical efforts to accurately predict the fatigue life of short fiber reinforced parts. The framework combines engineering tools that allow design engineers to predict fatigue life of engineering plastics applications, including anisotropy in high detail. It includes characterization of the proper failure mechanisms, modelling anisotropy, and compensation for local stress concentrations. While step-by-step highlighting the key features and assumptions of the framework, the consistency and accuracy that can be achieved is shown. Subsequently the framework is validated on a representative demonstration part. Fatigue Design 2019 Fatigue life prediction of injection moulded short glass fiber reinforced plastics Marc J.W. Kanters a *, Lucien F.A. Douven a , Pierre Savoyat b a DSM Materials Science Center, P.O. Box 1066, 6160 BB Geleen, The Netherlands b e-Xstream Engineering, Axis Park, Rue Emile Francqui, 9, 1435 Mont-Saint-Guibert, Belgium Abstract This work pr sents a framework that i s xperime tal and numerical efforts to accurately predict the fatigue life of short fiber reinforced parts. The framework combines engineering tools that allow design engineers to predict fatigue life of engineeri plastics applications, includi g anisotropy in high detail. It includes characterization of the proper failure m chanisms, odelling anisotropy, and compensatio for local stress concentrations. While step-by-step highlighti g the key features and assumptions of the framework, the consistency and accuracy that can be achieved is shown. Subsequently the framework is validated on a representative demonstration part.

© 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Fatigue Design 2019 Organizers. © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Fatigue Design 2019 Organizers. © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Fatigue Design 2019 Organizers.

Keywords: Fatigue; Short Fiber; Thermoplastic Composites; Predictive Modeling; Anisotropy; Load Ratio; Stress Gradients; Keywords: Fatigue; Short Fiber; Thermoplastic Composites; Predictive Modeling; Anisotropy; Load Ratio; Stress Gradients;

2452-3216 © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Fatigue Design 2019 Organizers. 2452-3216 © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Fatigue Design 2019 Organizers. * Corresponding author. E-mail address: marc.kanters@dsm.com * Corresponding author. E-mail address: marc.kanters@dsm.com

2452-3216 © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Fatigue Design 2019 Organizers. 10.1016/j.prostr.2019.12.076