都灵理工大学学生团队在壳牌生态马拉松比赛中使用 HyperWorks 减轻车辆重量和燃油消耗
技术
- 机器人 - 自动导引车 (AGV)
- 传感器 - 自动驾驶传感器
适用行业
- 航天
- 汽车
适用功能
- 物流运输
- 产品研发
用例
- 智能停车
- 车辆性能监测
关于客户
H2politO 团队由一群来自都灵理工大学的学生组成，他们拥有来自不同工程学科的不同背景和背景。该团队位于都灵理工大学机械与航空航天工程系（DIMEAS），由 Massimiliana Carello 教授领导。该团队的使命是培养新一代工程师，让他们在每项能力方面都表现出卓越的教育水平。该团队设计和制造的低能耗车辆可能成为其类别的基准。该车队携带氢燃料电池汽车和混合动力汽车参加了壳牌欧洲生态马拉松。
挑战
壳牌生态马拉松 (SEM) 是一项全球竞赛，挑战学生团队设计、制造和驾驶最节能的汽车。由都灵理工大学学生组成的H2politO团队携带氢燃料电池汽车和混合动力汽车参加了比赛。该团队的目标是通过减少摩擦和质量来改进他们的车辆，以最大限度地减少燃料消耗。最关键的问题之一是轮辋设计。较轻的轮圈可减少旋转质量，从而降低能耗并改善车辆的动态性能。面临的挑战是优化轮辋的几何形状，以确定理想的结构和质量分布，同时考虑制造限制。该团队需要应用复杂的计算机辅助工程 (CAE) 工具来支持仿真驱动的设计流程，并实现早期决策以进一步改进车辆。
解决方案
H2politO 团队应用 Altair 的 HyperWorks 套件来设计和优化轮辋。这些工具使他们能够考虑技术限制，例如轮胎设计规范以及与所选轮圈制造技术相关的限制。由于其重量轻和其他有益的材料特性，该团队使用铝合金作为轮圈。为了优化轮圈结构，学生们使用了 Altair 的有限元求解器和优化工具 OptiStruct。他们定义了组件的设计空间、施加的载荷和其他边界条件，并进行了模拟轮辋实际测试的优化研究。由此产生的质量分布为轮圈的详细 CAD 模型提供了基础。该团队使用静态分析来验证结果。
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