Optimizing tensile strength and energy consumption for FDM through Mixed-Integer Nonlinear Multi-objective optimization and design of experiments

被引：2

作者：

Ramadan, Saleem ^{[1
]}

Altwarah, Qutaiba ^{[2
]}

Abu-Shams, Mohammad ^{[3
]}

Alkurdi, Duha ^{[4
]}

机构：

[1] Al Hussein Tech Univ, Sch Engn Technol, Ind Engn Dept, Amman 11831, Jordan

[2] Cent Michigan Univ, Sch Engn & Technol, Mt Pleasant, MI 48859 USA

[3] German Jordanian Univ, Sch Appl Tech Sci, Ind Engn Dept, Amman 11180, Jordan

[4] Univ Michigan Dearborn, Ind & Mfg Syst Engn, Dearborn, MI 48128 USA

来源：

HELIYON | 2024年 / 10卷 / 09期

关键词：

Additive manufacturing; Design of experiments; Taguchi design; Response surface design; Nonlinear Multi-objective optimization; 3D printing; FDM; COMPOSITE CANTILEVER BEAM; PROCESS PARAMETERS;

D O I：

10.1016/j.heliyon.2024.e30164

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This study presents a methodology for optimizing key parameters of a fused deposition modeling (FDM) printer to minimize energy consumption (EC) while exceeding a specified tensile strength (TS) threshold. Employing Design of Experiments (DoE) with Taguchi and Response Surface analysis, we identify influential parameters affecting TS and EC. A Mixed-Integer Nonlinear MultiObjective Optimization model is then utilized to balance TS and EC, resulting in optimal parameter values. Validation using fabricated specimens demonstrates less than 5 % error in Tensile Strength and less than 2 % error in Energy Consumption, confirming the efficacy of the proposed methodology.

引用

页数：13

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