Integrating parametric design and additive manufacturing knowledge in industrial design education

Kandikjan, Tatjana; Djokikj, Jelena; Mircheski, Ile; Angeleska, Elena

doi:10.1016/j.matpr.2022.10.124

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…To benefit from the concurrent application of these technologies in the design process, industrial designers should be educated and trained in parametric design thinking and cooperation with computer programmers and production technology experts. On the other hand, the design process itself is highly de-pendent on personal creativity, sensory perception of form and material, and understanding of consumer product trends [3].…”

Section: Introductionmentioning

confidence: 99%

DESIGN PROCESS OF COMPLEX PRODUCT SHAPE WITH LATTICE VORONOI'S STRUCTURE USING CAx TOOLS

Mirčeski,

Georgievski

2023

MESJ

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The aim of this paper is to present the design process of creating complex product shapes in industrial design with lattice Voronoi's structure using CAx tools. Complex product shapes have often been used in industrial design. Nowadays, the creation of products with complex shapes is possible using modern software package Fusion 360, using CAx tools and Additive Manufacturing (AM) technologies for rapid production and verification of prototypes. In this context, this paper focuses on a design process which incorporates the lattice Voronoi's structure as a topology optimization technique. The AM technology with Fused Filament Fabrication (FFF) 3D printing was chosen due to its ability to create products with rapid prototyping technology, as well as the complexity of the product shape. The design process includes conceptual design, 3D modeling and parametric design, preparation for production with 3D printing as well as testing to verify the product design. For prototyping of the product design an open-source system is used. The product model is designed and prototyped by the students with the use of 3D printing FFF technology.

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Section: Introductionmentioning

confidence: 99%

DESIGN PROCESS OF COMPLEX PRODUCT SHAPE WITH LATTICE VORONOI'S STRUCTURE USING CAx TOOLS

Mirčeski,

Georgievski

2023

MESJ

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Additive manufacturing-oriented concurrent robust topology optimization considering size control

Wang

2023

International Journal of Mechanical Sciences

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Azimuthal Solar Synchronization and Aerodynamic Neuro-Optimization: An Empirical Study on Slime-Mold-Inspired Neural Networks for Solar UAV Range Optimization

Hazare,

Sultan,

Mika

et al. 2024

Applied Sciences

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This study introduces a novel methodology for enhancing the efficiency of solar-powered unmanned aerial vehicles (UAVs) through azimuthal solar synchronization and aerodynamic neuro-optimization, leveraging the principles of slime mold neural networks. The objective is to broaden the operational capabilities of solar UAVs, enabling them to perform over extended ranges and in varied weather conditions. Our approach integrates a computational model of slime mold networks with a simulation environment to optimize both the solar energy collection and the aerodynamic performance of UAVs. Specifically, we focus on improving the UAVs’ aerodynamic efficiency in flight, aligning it with energy optimization strategies to ensure sustained operation. The findings demonstrated significant improvements in the UAVs’ range and weather resilience, thereby enhancing their utility for a variety of missions, including environmental monitoring and search and rescue operations. These advancements underscore the potential of integrating biomimicry and neural-network-based optimization in expanding the functional scope of solar UAVs.

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Integrating parametric design and additive manufacturing knowledge in industrial design education

Cited by 3 publications

References 7 publications

DESIGN PROCESS OF COMPLEX PRODUCT SHAPE WITH LATTICE VORONOI'S STRUCTURE USING CAx TOOLS

DESIGN PROCESS OF COMPLEX PRODUCT SHAPE WITH LATTICE VORONOI'S STRUCTURE USING CAx TOOLS

Additive manufacturing-oriented concurrent robust topology optimization considering size control

Azimuthal Solar Synchronization and Aerodynamic Neuro-Optimization: An Empirical Study on Slime-Mold-Inspired Neural Networks for Solar UAV Range Optimization

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