Adhesion studies during generative hybridization of textile-reinforced thermoplastic composites via additive manufacturing
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Generative hybridization enables the efficient production of lightweight structures by combining classic manufacturing processes with additive manufacturing technologies. This type of functionalization process allows components with high geometric complexity and high mechanical properties to be produced efficiently in small series without the need for additional molds. In this study, hybrid specimens were generated by additively depositing PA6 (polyamide 6) via fused layer modeling (FLM) onto continuous woven fiber GF/PA6 (glass fiber/polyamide 6) flat preforms. Spe-cifically, the effects of surface pre‐treatment and process‐induced surface interactions were investigated using optical microscopy for contact angle measurements as well as laser profilometry and thermal analytics. The bonding characteristic at the interface was evaluated via quasi‐static tensile pull‐off tests. Results indicate that both the bond strength and corresponding failure type vary with pre‐treatment settings and process parameters during generative hybridization. It is shown that both the base substrate temperature and the FLM nozzle distance have a significant influence on the adhesive tensile strength. In particular, it can be seen that surface activation by plasma can significantly improve the specific adhesion in generative hybridization.
Details
Original language | English |
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Article number | 3888 |
Number of pages | 12 |
Journal | Materials |
Volume | 14 |
Issue number | 14 |
Publication status | Published - 12 Jul 2021 |
Peer-reviewed | Yes |
External IDs
Scopus | 85110922686 |
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ORCID | /0000-0003-2834-8933/work/142238228 |
ORCID | /0000-0003-1370-064X/work/142243385 |
WOS | 000676329600001 |
PubMed | 34300806 |
Keywords
Keywords
- additive manufacturing, functionalization, thermoplastic composite, adhesion, fused layer modeling, generative hybridization, multi-material design