سميع علي حسيني

This study was conducted with the aim of applying fuzzy multi-criteria decision-making methods in the 3D printing industry, the main problem of the research is how to optimize the performance an‎d quality of manufactured parts by properly adjusting the printing parameters, the research is applied in terms of purpose an‎d descriptive–survey in terms of data nature, the data collection was carried out using library resources including articles an‎d specialized books as well as field data obtained from the opinions of managers an‎d experts of I-Design Company in the field of 3D printing, the statistical population of the study consists of the experts of the knowledge-based I-Design Company in Tehran in 2024, for data analysis an‎d determining the weights of the criteria the fuzzy AHP method was used an‎d then the ranking of parameters was performed using the fuzzy VIKOR method, the results of the study indicated that the parameters of support structures an‎d layer thickness have the same level of influence on the quality an‎d performance of the 3D printer, followed respectively by filament diameter, temporary base adjustment, nozzle diameter adjustment, infill density, temperature adjustment, number of printed walls, filament retraction, nozzle retraction, an‎d finally printing speed, the findings of this research can help managers an‎d experts of this industry in the optimal selec‎tion an‎d adjustment of parameters, ultimately leading to improved quality of printed parts an‎d reduced production errors.

بهينه ‌سازي عملكرد پرينتر سه بعدي , پارامترهاي فرآيند چاپ سه بعدي , روش هاي تصميم‌گيري چندمعياره فازي , كاربرد روش هاي تصميم گيري فازي در صنعت چاپ

Optimization of 3D printer performance , 3D printing process parameters , Fuzzy multi-criteria decision-making methods , Application of fuzzy decision-making methods in the 3D printing industry

Sami Alihosseyni

DR.mohammadreza Aliha