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 团队是一群来自都灵理工大学的学生。学生的背景和概况非常多样化,学生来自不同的工程学科。他们每个人都贡献了自己的专业知识,共同组成了负责汽车设计和建造的团队。该项目涉及的工程学科涵盖汽车、机械、电子、航空航天、能源、数学、计算机科学、机电一体化、管理、电影与媒体以及工业设计等。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。该团队的使命是塑造新一代工程师:各自领域的领导者,代表着各自能力方面的卓越教育。
挑战
H2politO 团队由都灵理工大学的学生组成,参加了壳牌生态马拉松 (SEM),这是一项挑战学生团队设计、制造和驾驶最节能汽车的竞赛。该团队使用氢燃料电池汽车参加“原型”类别,并使用混合动力汽车参加“城市概念”类别。该团队面临的主要挑战是减少摩擦和质量,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。必须优化该特定部件的几何形状:必须确定理想的结构和质量分布,同时还要考虑制造限制。对于这些开发任务,H2politO 团队必须应用复杂的计算机辅助工程 (CAE) 工具,这些工具将支持仿真驱动的设计流程,并通过提出进一步改进车辆的可能设计方向来实现早期决策。
解决方案
H2politO 团队应用 Altair 的 HyperWorks 套件来设计和优化轮圈。这些工具使他们能够考虑任何技术限制,例如轮胎设计规范以及可能适用于所选轮圈制造技术的限制,在本例中为车削和铣削。该团队想要使用的材料是铝合金。为了优化轮圈结构,学生们使用了 HyperWorks 中包含的 Altair 有限元求解器和优化工具 OptiStruct。第一步是定义组件的设计空间,在本用例中是全轮辋圆柱体(分为不同区域),包括轮毂连接区域和轮胎轮廓。然后应用发生的载荷和其他边界条件。以下优化研究模拟了轮圈的真实测试,将力施加到靠近轮毂的最关键区域。由此产生的质量分布为轮圈的详细 CAD 模型提供了基础。最后一步,团队使用静态分析来验证结果。
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