Optimizing tensile strength and energy consumption for FDM through Mixed-Integer Nonlinear Multi-objective optimization and design of experiments
Saleem Z. Ramadan, Qutaiba Altwarah, Mohammad Abu‐Shams, Duha Alkurdi
Abstract
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 Multi-Objective 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.
Topics & Concepts
Ultimate tensile strengthInteger (computer science)Energy consumptionNonlinear systemInteger programmingMaterials scienceStructural engineeringMechanical engineeringMathematical optimizationComputer scienceEngineeringMathematicsComposite materialPhysicsElectrical engineeringQuantum mechanicsProgramming languageAdditive Manufacturing and 3D Printing TechnologiesInnovations in Concrete and Construction MaterialsManufacturing Process and Optimization