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Determination of the Effective Fused Deposition Modeling Process Parameters on the Mechanical Properties of Carbon Fiber-Reinforced Polypropylene Parts

  • Meltem Eryildiz*
  • , Ergin Kosa
  • , Bekir Yavuzer
  • , Ismail Cem Akgün
  • *Corresponding author for this work
  • Beykent University

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Additive manufacturing is gaining popularity for producing components in industries such as automotive, aerospace, and medicine due to its potential to minimize material waste. Because the strength of the 3-D-printed part is so important, it's crucial to do research and optimize process parameters to make the printed parts as strong as possible. This work focuses on the experimental investigation and discussion of the tensile and impact strength of parts made from carbon fiber-reinforced polypropylene (PP-CF) using the fused deposition modeling (FDM) technique. Various process parameters, including infill pattern, infill density, layer thickness, and build orientation, are examined on three different levels to determine their influence on the tensile and impact strength of the printed part. The outcomes of the analysis of variance (ANOVA) analysis reveal that infill density primarily affects impact strength, whereas layer thickness significantly influences tensile strength. The optimal combination of parameters leading to the maximum tensile and impact strength consists of a grid infill pattern, 60 % infill density, 0.36-mm layer thickness, and a 45° build orientation. Furthermore, fracture surface analysis is consistent with mechanical test results.

Original languageEnglish
Article numberJTE20230283
JournalJournal of Testing and Evaluation
Volume52
Issue number2
DOIs
Publication statusPublished - 1 Mar 2024

Bibliographical note

Publisher Copyright:
Copyright © 2024 by ASTM International.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Taguchi
  • additive manufacturing
  • analysis of variance
  • carbon fiber-reinforced polypropylene
  • fused deposition modeling

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