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The Topological Optimization and the Design for Additive Manufacturing of a Steering Knuckle for Formula SAE Electric Vehicle

机译:用于式SAE电动车辆转向节的拓扑优化和添加剂制造设计

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Formula Student represents the main motorsport activity for future professionals during their academic preparation. There is intensive migration from the prototypes with an internal combustion engine to electrical vehicles. The challenge of electric vehicles is the weight of the batteries which has to be compensated. The Topological Optimization process represents a method of removing volume and mass of the component (elements of mesh) with the aid of the discretization allowed by the finite element method (FEM) until a mass or stress constraint is attained. The results come in a complex shape, the material being kept only in the stressstrain directions. The manufacturing process is usually as complex, being employed high complexity technologies such as Selective Laser Melting (SLM). Improved strength-to-weight ratio materials are to be considered to obtain the most performant design of a specific component. The present paper presents the topological optimization process of the steering knuckle for the Formula Student electric vehicle of ART-TU Team of Technical University of Cluj-Napoca. It means that the part is simulated and optimized through Ansys Static Structural and there is done post-processing of the component along with Data Validation. The conclusions consist of the viability of the Topological Optimization process when designing complex components for performance automotive.
机译:配方学生代表学术准备期间未来专业人士的主要赛车活动。通过对电动车辆的内燃机的原型有密集的迁移。电动车辆的挑战是必须补偿的电池的重量。拓扑优化方法表示通过通过有限元方法(FEM)允许的离散化直到获得质量或应力约束,从而借助于允许的离散化去除组件(网格元素)的体积和质量的方法。结果呈复杂的形状,材料仅在应力方向上保持。制造过程通常是复杂的,采用高复杂性技术,例如选择性激光熔化(SLM)。改进的强度重量比材料是为了获得特定组分的最表情设计。本文介绍了Cluj-Napoca技术大学Art-TU团队的公式学生电动车辆转向节的拓扑优化过程。这意味着通过ANSYS静态结构,并且通过ANSYS静态结构和组件的后处理以及数据验证进行模拟和优化。结论包括在为性能汽车设计复杂组件时,拓扑优化过程的可行性包括。

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