Voronoi Latticed Bike Saddle Design Optimization with Data-Driven Design Technique

Ahmet Dayanç; Melih Canlıdinç; Feridun Karakoç

TR EN

Veri Tabanlı Tasarım Tekniği ile Voronoi Kafesli Bisiklet Selesi Tasarım Optimizasyonu

Öz

Çalışmada, yarış bisiklet selelerinin tasarımını optimize etmek için ağırlık azaltma ve yapısal bütünlüğü koruma odaklı olarak örtük modelleme kullanılarak yenilikçi bir metodoloji sunulmaktadır. Örtük modelleme, geometrileri matematiksel fonksiyonlar aracılığıyla tanımlayarak, daha küçük dosya boyutları ve karmaşık modeller için daha etkili analizler yapılmasını sağlayarak geleneksel CAD modellemenin sınırlamalarını gidermektedir. Araştırmada, nTopology yazılımı kullanılarak bisiklet selesinin CAD modeli örtük modele dönüştürülmüş, ardından yapısal analiz ve sele içerisindeki Voronoi kafes yapısının optimizasyonu gerçekleştirilmiştir. Bu yaklaşım, sele ağırlığının 130,61 gramdan 64,45 grama düşürülmesiyle %50,65'lik önemli bir ağırlık azalması sağlamıştır. Maksimum elastik yer değiştirme 1,65 mm olarak ölçülmüş, maksimum Von Mises gerilme değeri yaklaşık 15 MPa olarak gözlemlenmiş ve bu tasarımın dinamik yüklere dayanma yeteneğini göstermiştir. Çalışma, örtük modellemenin özellikle havacılık ve otomotiv gibi ağırlık azaltmanın kritik olduğu sektörlerde endüstriyel tasarımda önemli avantajlar sunduğunu sonucuna varmaktadır. Gelecekteki araştırmalar, örtük modelleme tekniklerinin daha da geliştirilmesine ve çeşitli endüstriyel bağlamlarda uygulamalarının araştırılmasına odaklanmalıdır.

Anahtar Kelimeler

Hafifletme , Kafes Yapılar , nTopology , Tasarım Optimizasyonu , Veri Tabanlı Tasarım

Voronoi Latticed Bike Saddle Design Optimization with Data-Driven Design Technique

Abstract

The study presents an innovative methodology using implicit modeling to optimize the design of racing bicycle saddles, focusing on weight reduction while maintaining structural integrity. Implicit modeling addresses the limitations of traditional CAD modeling by defining geometries through mathematical functions, enabling smaller file sizes and more effective analyses for complex models. The research utilized nTopology software to convert a CAD model of a bicycle seat into an implicit model, followed by structural analysis and optimization of a Voronoi lattice structure within the seat. This approach resulted in a significant weight reduction of 50.65%, decreasing the seat's weight from 130.61 grams to 64.45 grams. The maximum elastic displacement measured was 1.65 mm, with the maximum Von Mises stress value observed at approximately 15 MPa, indicating the design's capability to withstand loads. The study concludes that the use of implicit modeling offers substantial advantages in industrial design, particularly in sectors where weight reduction is critical, such as aerospace and automotive. Future research should focus on further developing implicit modeling techniques and exploring their applications in various industrial contexts.

Keywords

Data-Driven Design , Design Optimization , Lattice Structures , Lightweighting , nTopology

References

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Details

Primary Language

English

Subjects

Optimization Techniques in Mechanical Engineering

Journal Section

Research Article

Authors

Ahmet Dayanç ^*
0000-0002-5214-9021
Türkiye

Melih Canlıdinç
0000-0002-4011-9490
Türkiye

Feridun Karakoç
0000-0002-6210-4070
Türkiye

Publication Date

December 31, 2024

Submission Date

July 23, 2024

Acceptance Date

November 2, 2024

Published in Issue

Year 2024 Volume: 10 Number: 3

IZ

https://izlik.org/JA32FW36KX

IEEE

[1]A. Dayanç, M. Canlıdinç, and F. Karakoç, “Voronoi Latticed Bike Saddle Design Optimization with Data-Driven Design Technique”, GJES, vol. 10, no. 3, pp. 547–557, Dec. 2024, [Online]. Available: https://izlik.org/JA32FW36KX

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