Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques

N., Mohammed Raffic; K., Ganesh Babu; Saminathan, Rajasekaran; Hadidi, Haitham

Mohammed Raffic N., Ganesh Babu K., Rajasekaran Saminathan, Haitham Hadidi

Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques

Abstract:
Fused deposition modeling (FDM) is becoming the most promised additive manufacturing (AM) process in recent years due to the evident benefits, such as high design flexibility, low cost, friendly and economically use. The current study considers an optimization of four different FDM parameters varied in three levels, as layer thickness (0.17 mm, 0.25 mm and 0.33 mm), infill density (25, 50 and 75%), shell thickness (0.8 mm, 1.2 mm and 1.6 mm) and raster angle (0o, 30o and 60o) with an objective to reduce printing time, part weight and to enhance flexural modulus using Polyethylene Terepthalate - glycol modified (PET-G) material. Mono optimization of FDM input parameters has been done using signal to noise ratio method obtained from Taguchi’s L9Orthogonal Array (OA) and multi response optimization is applied through Grey Relational Analysis (GRA) and technique of order preference similar to ideal solution (TOPSIS) techniques. The response or its criteria weightages are calculated using Shanon’s entropy and CRITIC method which gives different weightages for the considered responses. Printing time ranks top with 37% from entropy method followed by flexural modulus with 36% and part weight ranks last with 28%. Flexural modulus ranks tops with 43% followed by part weight with 29% and printing time takes last position with 28% weightage.The ranking of alternatives from GRA- entropy and GRA- CRITIC methods are similar by recommending A1B1C1D1 (0.17 mm layer thickness, 25% infill density, 0.8 mm shell thickness and 0° raster angle) but TOPSIS-entropy and TOPSIS - CRITIC methods suggested different parameter combination A2B3C1D2 (0.25 mm layer thickness,75% infill density, 0.8 mm shell thickness and 30° raster angle). From all the four different methods adopted for optimization, the parameter setting obtained from level total suggests A2B1C1D2 (0.25 mm layer thickness, 25% infill density, 0.8mm shell thickness and 30° raster angle) and completely opposite to the ranking of alternatives. The carried - out confirmation trials carried out validated the optimized settings resulted from different methods. Infill density is found to be the most significant factor as compared to other input factors over the output assessed parameters.

Keywords:
Fused Deposition Modeling; Taguchi’s Orthogonal Array; PET-G; flexural modulus; GRA; TOPSIS (technique of order preference similar to ideal solution)

Issue: 2022 Volume 59, Issue 3

Pages: 109-127

Publication date: 2022/10/3

https://doi.org/10.37358/MP.22.3.5610

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Citation Styles

Cite this article as:
N., M.R., K., G.B., SAMINATHAN, R., HADIDI, H., Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques, Mater. Plast., 59(3), 2022, 109-127. https://doi.org/10.37358/MP.22.3.5610

Vancouver
N. MR, K. GB, Saminathan R, Hadidi H. Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques. Mater. Plast.[internet]. 2022 Jul;59(3):109-127. Available from: https://doi.org/10.37358/MP.22.3.5610

APA 6th edition
N., M.R., K., G.B., Saminathan, R. & Hadidi, H. (2022). Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques. Materiale Plastice, 59(3), 109-127. https://doi.org/10.37358/MP.22.3.5610

Harvard
N., M.R., K., G.B., Saminathan, R., Hadidi, H. (2022). 'Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques', Materiale Plastice, 59(3), pp. 109-127. https://doi.org/10.37358/MP.22.3.5610

IEEE
M.R. N., G.B. K., R. Saminathan, H. Hadidi, "Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques". Materiale Plastice, vol. 59, no. 3, pp. 109-127, 2022. [online]. https://doi.org/10.37358/MP.22.3.5610

Text
Mohammed Raffic N., Ganesh Babu K., Rajasekaran Saminathan, Haitham Hadidi,
Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques,
Materiale Plastice,
Volume 59, Issue 3,
2022,
Pages 109-127,
ISSN 2668-8220,
https://doi.org/10.37358/MP.22.3.5610.
(https://revmaterialeplastice.ro/Articles.asp?ID=5610)
Keywords: Fused Deposition Modeling; Taguchi’s Orthogonal Array; PET-G; flexural modulus; GRA; TOPSIS (technique of order preference similar to ideal solution)

RIS
TY - JOUR
T1 - Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques
A1 - N., Mohammed Raffic
A2 - K., Ganesh Babu
A3 - Saminathan, Rajasekaran
A4 - Hadidi, Haitham
JF - Materiale Plastice
JO - Mater. Plast.
PB - Materiale Plastice SRL
SN - 2668-8220
Y1 - 2022
VL - 59
IS - 3
SP - 109
EP - 127
UR - https://doi.org/10.37358/MP.22.3.5610
KW - Fused Deposition Modeling
KW - Taguchi’s Orthogonal Array
KW - PET-G
KW - flexural modulus
KW - GRA
KW - TOPSIS (technique of order preference similar to ideal solution)
ER -

BibTex
@article{MatPlast2022P109,
author = {N. Mohammed Raffic and K. Ganesh Babu and Saminathan Rajasekaran and Hadidi Haitham},
title = {Flexural Modulus Enhancement and Minimization of Printing Time and Part Weight for PET-G, Using Taguchi-GRA-TOPSIS Techniques},
journal = {Materiale Plastice},
volume = {59},
number = {3},
pages = {109-127},
year = {2022},
issn = {2668-8220},
doi = {https://doi.org/10.37358/MP.22.3.5610},
url = {https://revmaterialeplastice.ro/Articles.asp?ID=5610}
}

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