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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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| 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. |
| format | Article |
| id | doaj-art-50fbaee62c9840a0a61c8c5ab77288f5 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| 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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