Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A multi-criteria decision-making analysis on the extrusion-based additive manufacturing of ABS/Cu composites
https://orcid.org/http://orcid.org/0000-0002-4283-1684
In this research, multi-criteria decision-making (MCDM) methods have been used to simultaneous select the best process parameters for the extrusion-based additive manufacturing (AM) of acrylonitrile butadiene styrene/copper (ABS/Cu) composites. The effect of nozzle diameter, layer height, raster angle, and nozzle temperature parameters on the printing time, mass, and tensile strength of the 3D-printed samples was investigated. For each of the four input parameters, three levels were considered and then the experimental results were obtained for nine experiments (based on Taguchi’s L9 orthogonal array). These results were chosen as alternatives. The technique for order of preference by similarity to ideal solution (TOPSIS) and multi-objective optimization on the basis of ratio analysis (MOORA) techniques was used to simultaneous select the best printing condition from these different alternatives. The obtained results show that alternative number 9 has the best rank in both used MCDM methods. In this alternative the printing parameters are: nozzle diameter of 1.5 mm, layer height of 0.3 mm, raster angle of 0/90, and nozzle temperature of 230 ℃. Also, the worst experiments were related to the nozzle diameter of 1 mm, layer height of 0.1 mm, raster angle of 0/90, and nozzle temperature of 250 ℃ for MOORA and nozzle diameter of 0.5 mm, layer height of 0.1 mm, raster angle of ± 45, and nozzle temperature of 230 ℃ for TOPSIS. According to the literature survey, the results obtained from the MCDM methods for the simultaneous selection of the most optimal parameters are very acceptable and justifiable.
A multi-criteria decision-making analysis on the extrusion-based additive manufacturing of ABS/Cu composites
https://orcid.org/http://orcid.org/0000-0002-4283-1684
In this research, multi-criteria decision-making (MCDM) methods have been used to simultaneous select the best process parameters for the extrusion-based additive manufacturing (AM) of acrylonitrile butadiene styrene/copper (ABS/Cu) composites. The effect of nozzle diameter, layer height, raster angle, and nozzle temperature parameters on the printing time, mass, and tensile strength of the 3D-printed samples was investigated. For each of the four input parameters, three levels were considered and then the experimental results were obtained for nine experiments (based on Taguchi’s L9 orthogonal array). These results were chosen as alternatives. The technique for order of preference by similarity to ideal solution (TOPSIS) and multi-objective optimization on the basis of ratio analysis (MOORA) techniques was used to simultaneous select the best printing condition from these different alternatives. The obtained results show that alternative number 9 has the best rank in both used MCDM methods. In this alternative the printing parameters are: nozzle diameter of 1.5 mm, layer height of 0.3 mm, raster angle of 0/90, and nozzle temperature of 230 ℃. Also, the worst experiments were related to the nozzle diameter of 1 mm, layer height of 0.1 mm, raster angle of 0/90, and nozzle temperature of 250 ℃ for MOORA and nozzle diameter of 0.5 mm, layer height of 0.1 mm, raster angle of ± 45, and nozzle temperature of 230 ℃ for TOPSIS. According to the literature survey, the results obtained from the MCDM methods for the simultaneous selection of the most optimal parameters are very acceptable and justifiable.
A multi-criteria decision-making analysis on the extrusion-based additive manufacturing of ABS/Cu composites
https://orcid.org/http://orcid.org/0000-0002-4283-1684
In this research, multi-criteria decision-making (MCDM) methods have been used to simultaneous select the best process parameters for the extrusion-based additive manufacturing (AM) of acrylonitrile butadiene styrene/copper (ABS/Cu) composites. The effect of nozzle diameter, layer height, raster angle, and nozzle temperature parameters on the printing time, mass, and tensile strength of the 3D-printed samples was investigated. For each of the four input parameters, three levels were considered and then the experimental results were obtained for nine experiments (based on Taguchi’s L9 orthogonal array). These results were chosen as alternatives. The technique for order of preference by similarity to ideal solution (TOPSIS) and multi-objective optimization on the basis of ratio analysis (MOORA) techniques was used to simultaneous select the best printing condition from these different alternatives. The obtained results show that alternative number 9 has the best rank in both used MCDM methods. In this alternative the printing parameters are: nozzle diameter of 1.5 mm, layer height of 0.3 mm, raster angle of 0/90, and nozzle temperature of 230 ℃. Also, the worst experiments were related to the nozzle diameter of 1 mm, layer height of 0.1 mm, raster angle of 0/90, and nozzle temperature of 250 ℃ for MOORA and nozzle diameter of 0.5 mm, layer height of 0.1 mm, raster angle of ± 45, and nozzle temperature of 230 ℃ for TOPSIS. According to the literature survey, the results obtained from the MCDM methods for the simultaneous selection of the most optimal parameters are very acceptable and justifiable.
A multi-criteria decision-making analysis on the extrusion-based additive manufacturing of ABS/Cu composites
Int J Interact Des Manuf
Akhoundi, Behnam (Autor:in) / Modanloo, Vahid (Autor:in)
01.08.2023
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Multi-criteria decision making (MCDM) , 3D printer , Extrusion-based additive manufacturing , ABS/Cu composite filament , Process parameters Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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