Additive manufacturing techniques are rapidly growing in recent years, not only in popularity but also and above all in terms of reliability and precision. These new technological processes meet the need for new engineered structures, allowing the fabrication of cellular materials. In this context, the 3D Fused Deposition Modeling technique plays the role of a low-cost, customizable and increasingly precise process for manufacturing functionalized cellular structures. In this thesis work, the processes for generating the infill of 3D FDM printing are studied and analyzed, and an algorithm based on the simulation of the state of stress was developed using Grasshopper, with the aim of obtaining a heterogeneous and optimized cellular structure. inside of the studied pieces. Finally, the algorithm was applied to the specific case study of a frame for FPV racing drones. It was therefore possible to print 3D frames, subsequently laminated with carbon, with lower weight and greater performance.
Le tecniche di manifattura additive stanno negli ultimi anni rapidamente crescendo, non solo in popolarità ma anche e soprattutto dal punto di vista dell’affidabilità e della precisione. Tali nuovi processi tecnologici incontrano l’esigenza di nuove strutture ingegnerizzate, permettendo la fabbricazione di materiali cellulari. In questo contesto, la tecnica di stampa 3D Fused Deposition Modeling riveste il ruolo di un processo a basso costo, personalizzabile e sempre più preciso per fabbricare strutture cellulari funzionalizzate. In questo lavoro di tesi vengono studiati e analizzati i processi di generazione del riempimento (infill) della stampa 3D FDM e tramite Grasshopper è stato sviluppato un algoritmo basato sulla simulazione dello stato di stress, con lo scopo di ottenere una struttura cellulare eterogenea ed ottimizzata all’interno dei pezzi studiati. Infine, l’algoritmo è stato applicato al caso studio specifico di un frame per droni FPV racing. È stato quindi possibile stampare 3D un frame, successivamente laminato al carbonio, con peso minore e maggiori prestazioni.
Flow. Sviluppo di un algoritmo per creare un infill adattivo tramite stampa 3D
COLUCCI, MICHELE
2018/2019
Abstract
Additive manufacturing techniques are rapidly growing in recent years, not only in popularity but also and above all in terms of reliability and precision. These new technological processes meet the need for new engineered structures, allowing the fabrication of cellular materials. In this context, the 3D Fused Deposition Modeling technique plays the role of a low-cost, customizable and increasingly precise process for manufacturing functionalized cellular structures. In this thesis work, the processes for generating the infill of 3D FDM printing are studied and analyzed, and an algorithm based on the simulation of the state of stress was developed using Grasshopper, with the aim of obtaining a heterogeneous and optimized cellular structure. inside of the studied pieces. Finally, the algorithm was applied to the specific case study of a frame for FPV racing drones. It was therefore possible to print 3D frames, subsequently laminated with carbon, with lower weight and greater performance.File | Dimensione | Formato | |
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Colucci Michele 2019- Flow - Sviluppo di un algoritmo per creare un infill adattivo tramite stampa 3D.pdf
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https://hdl.handle.net/10589/149308