Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach

Additive manufacturing, particularly 3D printing, has transformed production by enabling precise, layer-by-layer construction with minimal material waste. This study aims to optimize the mechanical properties and production efficiency of impellers manufactured using Graphene-Reinforced Polyethylene...

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Main Authors: Raja S, Praveenkumar V, Maher Ali Rusho, Simon Yishak
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024012738
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author Raja S
Praveenkumar V
Maher Ali Rusho
Simon Yishak
author_facet Raja S
Praveenkumar V
Maher Ali Rusho
Simon Yishak
author_sort Raja S
collection DOAJ
description Additive manufacturing, particularly 3D printing, has transformed production by enabling precise, layer-by-layer construction with minimal material waste. This study aims to optimize the mechanical properties and production efficiency of impellers manufactured using Graphene-Reinforced Polyethylene Terephthalate Glycol (G-PETG) filament. By employing the Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we identified optimal 3D printing parameters. The results showed that a 65 % infill density, 0.20 mm layer height, 50 mm/s printing speed, 90 °C platform temperature, 240 °C extruder temperature, and 90 mm/s traverse speed led to a 15 % improvement in tensile strength and a 12 % reduction in production time compared to baseline settings. Additionally, the impellers produced demonstrated superior surface finish and structural integrity, making them suitable for high-performance applications. These findings underscore the importance of parameter optimization in enhancing the performance of 3D-printed components, particularly for applications requiring high mechanical strength and precision.
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institution Kabale University
issn 2590-1230
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series Results in Engineering
spelling doaj-art-50fbaee62c9840a0a61c8c5ab77288f52024-12-19T10:57:49ZengElsevierResults in Engineering2590-12302024-12-0124103018Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approachRaja S0Praveenkumar V1Maher Ali Rusho2Simon Yishak3Centre for Sustainable Materials and Surface Metamorphosis, Chennai Institute of Technology, Chennai, 600069, Tamilnadu, India; Corresponding author.Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, 690525, IndiaMasters of Engineering in Engineering Management, Lockheed Matin Engineering Management, University of Colorado, Boulder, CO, 80308, USACollege of Engineering and Agro-Industrial Technology, Sawla Campus, Arba Minch University, 40003, Ethiopia; Corresponding author.Additive manufacturing, particularly 3D printing, has transformed production by enabling precise, layer-by-layer construction with minimal material waste. This study aims to optimize the mechanical properties and production efficiency of impellers manufactured using Graphene-Reinforced Polyethylene Terephthalate Glycol (G-PETG) filament. By employing the Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), we identified optimal 3D printing parameters. The results showed that a 65 % infill density, 0.20 mm layer height, 50 mm/s printing speed, 90 °C platform temperature, 240 °C extruder temperature, and 90 mm/s traverse speed led to a 15 % improvement in tensile strength and a 12 % reduction in production time compared to baseline settings. Additionally, the impellers produced demonstrated superior surface finish and structural integrity, making them suitable for high-performance applications. These findings underscore the importance of parameter optimization in enhancing the performance of 3D-printed components, particularly for applications requiring high mechanical strength and precision.http://www.sciencedirect.com/science/article/pii/S2590123024012738Additive manufacturingProcess parameter optimizationFuzzy AHP-TOPSISComposite thermoplastic polymerSustainable materialsMechanical property
spellingShingle Raja S
Praveenkumar V
Maher Ali Rusho
Simon Yishak
Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach
Results in Engineering
Additive manufacturing
Process parameter optimization
Fuzzy AHP-TOPSIS
Composite thermoplastic polymer
Sustainable materials
Mechanical property
title Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach
title_full Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach
title_fullStr Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach
title_full_unstemmed Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach
title_short Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach
title_sort optimizing additive manufacturing parameters for graphene reinforced petg impeller production a fuzzy ahp topsis approach
topic Additive manufacturing
Process parameter optimization
Fuzzy AHP-TOPSIS
Composite thermoplastic polymer
Sustainable materials
Mechanical property
url http://www.sciencedirect.com/science/article/pii/S2590123024012738
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AT praveenkumarv optimizingadditivemanufacturingparametersforgraphenereinforcedpetgimpellerproductionafuzzyahptopsisapproach
AT maheralirusho optimizingadditivemanufacturingparametersforgraphenereinforcedpetgimpellerproductionafuzzyahptopsisapproach
AT simonyishak optimizingadditivemanufacturingparametersforgraphenereinforcedpetgimpellerproductionafuzzyahptopsisapproach