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A novel additive manufacturing compression overmolding process for hybrid metal polymer composite structures

Authors :
Deepak Kumar Pokkalla
Ahmed Arabi Hassen
David Nuttall
Nikolaos Tsiamis
Mitchell L. Rencheck
Vipin Kumar
Peeyush Nandwana
Chase B. Joslin
Patrick Blanchard
Sangram Laxman Tamhankar
Patrick Maloney
Vlastimil Kunc
Seokpum Kim
Source :
Additive Manufacturing Letters, Vol 5, Iss , Pp 100128- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Metal polymer composites combining low density, high strength composites with highly ductile and tough metals have gained traction over the last few decades as lightweight and high-performance materials for industrial applications. However, the mechanical properties are limited by the interfacial bonding strength between metals and polymers achieved through adhesives, welding, and surface treatment processes. In this paper, a novel manufacturing process combining additive manufacturing and compression molding to obtain hybrid metal polymer composites with enhanced mechanical properties is presented. Additive manufacturing enabled deposition of polymeric material with fibers in a predetermined pattern to form tailored charge or preform for compression molding. A grade 300 maraging steel triangular lattice is first fabricated using AddUp FormUp350 laser powder bed system and compression overmolded with additively manufactured long carbon fiber-reinforced polyamide-6,6 (40% wt. CF/PA66) preform. The fabricated hybrid metal polymer composites showed high stiffness and tensile strength. The stiffness and failure characteristics determined from the uniaxial tensile tests were correlated to a finite element model within 20% deviation. Fractographic analyses was performed using microscopy to investigate failure mechanisms of the hybrid structures.

Details

Language :
English
ISSN :
27723690
Volume :
5
Issue :
100128-
Database :
Directory of Open Access Journals
Journal :
Additive Manufacturing Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.6961457861434eb68971946f68a53333
Document Type :
article
Full Text :
https://doi.org/10.1016/j.addlet.2023.100128