Polymer Filament Process Parameter Optimization with Mechanical Test and Morphology Analysis

Author:

Subramani Raja1ORCID,Kaliappan S.2,Sekar S.3,Patil Pravin P.4,Usha R.5,Manasa Narapareddi6,Esakkiraj E. S.7ORCID

Affiliation:

1. School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

2. Department of Mechanical Engineering, Velammal Institute of Technology, Chenna 601204, Tamil Nadu, India

3. Department of Mechanical Engineering, Rajalakshmi Engineering College Rajalakshmi Nagar Thandalam, Chennai 602105, Tamilnadu, India

4. Department of Mechanical Engineering, Graphic Era Deemed to be University, Bell Road Clement Town 248002, Dehradun, Uttarakhand, India

5. Department of Physics, Saveetha School of Engineering, SIMATS, Chennai 600124, Tamil Nadu, India

6. Department of Civil Engineering, Aditya College of Engineering, Surampalem, Affiliated to JNTU Kakinada, Andhra Pradesh 533437, India

7. Department of Mechanical Engineering, Dambi Dollo University, Dambi dolo, Ethiopia

Abstract

3D printing is one of the emerging technologies in the manufacturing sector, and polymer materials play a vital role in the raw material of the additive manufacturing sector. This research explores reducing the production time by testing and analyzing the microstructure of the different polylactic acid (PLA) filament polymer samples. For this purpose, 15 pieces of ASTM (American society for testing and materials) D638 tensile samples with polylactic acid (PLA) filaments have been used exclusively with five different sets of modified process parameters in slicing software of 3D printing technology. The results of this research reveal the best PLA filament FDM production method in terms of time, mechanical strength, and FESEM analysis comparing all the results.

Publisher

Hindawi Limited

Subject

General Engineering,General Materials Science

Reference34 articles.

1. Selection of Additive Manufacturing Machine Using Analytical Hierarchy Process;S. Raja;Scientific Programming,2022

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3. Special Issue Focus: Additive Manufacturing

4. In Situ Process Monitoring for Additive Manufacturing Through Acoustic Techniques

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