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

تحسين قوة الشد واستهلاك الطاقة لإدارة البيانات المالية من خلال تحسين وتصميم التجارب متعددة الأهداف غير الخطية المختلطة
Authors: Saleem Z. Ramadan; Qutaiba Altwarah; Mohammad Abu‐Shams; Duha Alkurdi;

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

Abstract

Résumé Cette étude présente une méthodologie pour optimiser les paramètres clés d'une imprimante à modélisation par dépôt fondu (FDM) afin de minimiser la consommation d'énergie (EC) tout en dépassant un seuil de résistance à la traction (TS) spécifié. En utilisant la conception d'expériences (DoE) avec l'analyse de Taguchi et de surface de réponse, nous identifions les paramètres influents affectant TS et EC. Un modèle d'optimisation multiobjectif non linéaire à nombres entiers mixtes est ensuite utilisé pour équilibrer TS et EC, ce qui permet d'obtenir des valeurs de paramètres optimales. La validation à l'aide d'échantillons fabriqués démontre moins de 5% d'erreur dans la résistance à la traction et moins de 2% d'erreur dans la consommation d'énergie, confirmant l'efficacité de la méthodologie proposée.

Resumen Este estudio presenta una metodología para optimizar los parámetros clave de una impresora de modelado por deposición fundida (FDM) para minimizar el consumo de energía (EC) mientras se excede un umbral de resistencia a la tracción (TS) especificado. Empleando el diseño de experimentos (DoE) con Taguchi y el análisis de la superficie de respuesta, identificamos los parámetros influyentes que afectan a TS y EC. A continuación, se utiliza un modelo de optimización multiobjetivo no lineal de enteros mixtos para equilibrar TS y EC, lo que da como resultado valores de parámetros óptimos. La validación utilizando muestras fabricadas demuestra menos del 5% de error en la resistencia a la tracción y menos del 2% de error en el consumo de energía, lo que confirma la eficacia de la metodología propuesta.

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.

الملخص تقدم هذه الدراسة منهجية لتحسين المعلمات الرئيسية لطابعة نمذجة الترسيب المنصهر لتقليل استهلاك الطاقة مع تجاوز عتبة مقاومة الشد المحددة. باستخدام تصميم التجارب (DoE) مع تحليل تاغوشي والاستجابة السطحية، نحدد المعلمات المؤثرة التي تؤثر على TS و EC. ثم يتم استخدام نموذج تحسين متعدد الأهداف غير خطي مختلط العدد لموازنة TS و EC، مما يؤدي إلى قيم المعلمات المثلى. يوضح التحقق باستخدام عينات ملفقة خطأ أقل من 5 ٪ في قوة الشد وخطأ أقل من 2 ٪ في استهلاك الطاقة، مما يؤكد فعالية المنهجية المقترحة.

Keywords

Design for Manufacture and Assembly in Manufacturing, Composite material, Science (General), Taguchi design, Additive manufacturing, FOS: Mechanical engineering, Structural engineering, Quantum mechanics, Industrial and Manufacturing Engineering, Nonlinear Multi-objective optimization, Q1-390, Mechanical Performance, Engineering, Nonlinear programming, FOS: Mathematics, H1-99, Design for Manufacture, Physics, Mathematical optimization, Statistics, Integer programming, 3D printing, Building and Construction, Additive Manufacturing and 3D Printing Technologies, Computer science, Materials science, Mechanical engineering, 3D Concrete Printing Technology, Programming language, Social sciences (General), Energy consumption, Ultimate tensile strength, Electrical engineering, Automotive Engineering, Physical Sciences, Nonlinear system, Process engineering, Integer (computer science), Energy (signal processing), Design of experiments, Mathematics, Response surface design, Research Article

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold