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

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.