UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

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Published Paper ID:
JETIR2108013


Registration ID:
313408

Page Number

a88-a100

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Title

EXPERIMENTAL INVESTIGATION ON MECHANICAL BEHAVIOUR AND OPTIMIZE PARAMETERS OF FDM PRINTED CARBON FIBER REINFORCED PET-G FOR MAV APPLICATION’S

Abstract

Fused deposition modeling (FDM) is an additive manufacturing technique used to fabricate intricate parts in 3D, within the shortest possible time without using tools, dies, fixtures, or human intervention. With the development and application of additive manufacturing technology, the mechanical properties of parts have become more important. The performance of FDM built parts exhibit high dependence on process parameters, and it can be improved by selecting suitable parameters. The present study focuses on the effect of process parameters in the fused deposition modeling of PLA material. The input parameters taken as fill density, print speed, filling shape and layer thickness. A design of experiments are conducted based on Taguchi L9 orthogonal array. The output responses are taken as tensile strength and compression strength of test specimen. Key words: Fused deposition modeling, Optimization, Tensile strength is a new optimizing technique for performing the prediction, grey relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for to optimizing the machining process parameters for the work piece is surface roughness and the metal removal rate is introduced. In order to improve the quality and productivity the present study highlights the optimization of CNC milling process parameters like speed, feed rate, depth of cut and different coated HSS tools to provide a good surface finish as well as high material removal rate. Hence a multi objective optimization problem has been obtained which can be solved by the hybrid Taguchi method comprising of grey relational analysis. Finally, Taguchi method has been used to solve the optimization problem.

Key Words

mechanical behaviour, optimize parameters

Cite This Article

"EXPERIMENTAL INVESTIGATION ON MECHANICAL BEHAVIOUR AND OPTIMIZE PARAMETERS OF FDM PRINTED CARBON FIBER REINFORCED PET-G FOR MAV APPLICATION’S", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.a88-a100, August-2021, Available :http://www.jetir.org/papers/JETIR2108013.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"EXPERIMENTAL INVESTIGATION ON MECHANICAL BEHAVIOUR AND OPTIMIZE PARAMETERS OF FDM PRINTED CARBON FIBER REINFORCED PET-G FOR MAV APPLICATION’S", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppa88-a100, August-2021, Available at : http://www.jetir.org/papers/JETIR2108013.pdf

Publication Details

Published Paper ID: JETIR2108013
Registration ID: 313408
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: a88-a100
Country: ANANTAPUR, ANDHRA PRASAD, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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