Conference Paper/Proceeding/Abstract 665 views 102 downloads
Computational Validation of Injection Molding Tooling by Additive Layer Manufacture to Produce EPDM Exterior Automotive Seals
I. Evans,
Andrew Rees,
Christian Griffiths,
Rachel Johnson
Sustainable Design and Manufacturing 2020, Volume: 200, Pages: 273 - 283
Swansea University Authors: Andrew Rees, Christian Griffiths
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PDF | Accepted Manuscript
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DOI (Published version): 10.1007/978-981-15-8131-1_25
Abstract
During the design and development of ethylene propylene diene monomer (EPDM) exterior automotive seals, prototype components can only manufactured through production tooling platforms by either injection molding or extrusion. Consequently, tooling is expensive and has long lead times. This paper inv...
| Published in: | Sustainable Design and Manufacturing 2020 |
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| ISBN: | 9789811581304 9789811581311 |
| ISSN: | 2190-3018 2190-3026 |
| Published: |
Singapore
Springer Singapore
2020
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa55388 |
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| Abstract: |
During the design and development of ethylene propylene diene monomer (EPDM) exterior automotive seals, prototype components can only manufactured through production tooling platforms by either injection molding or extrusion. Consequently, tooling is expensive and has long lead times. This paper investigates whether additive layer manufacture is a viable method for producing tooling used in injection molding of exterior automotive seals in EPDM. Specifically, a novel rapid tooling is a method that combines additive layer manufacture (ALM) with epoxy reinforcement. Computational validation is performed whereby the mechanical properties of the tool are evaluated. The research has concluded that the novel tooling configuration would be suitable for prototyping purposes which would drastically reduce both costly and environmentally detrimental pre-manufacturing processes. This work has laid the foundations to implement rapid tooling technology to the injection molding of prototype EPDM parts. |
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| Keywords: |
Digital manufacturing, Additive layer manufacturing, Computational modeling |
| College: |
Faculty of Science and Engineering |
| Start Page: |
273 |
| End Page: |
283 |