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Minimising Mass and Increasing Durability of a Vehicle Suspension System Using HyperStudy & OptiStruct
技术
- 机器人 - 自动导引车 (AGV)
- 传感器 - 扭矩传感器
适用行业
- 汽车
- 设备与机械
适用功能
- 采购
- 产品研发
用例
- 根因分析与诊断
- 车辆性能监测
服务
- 系统集成
挑战
海斯坦普是一家全球底盘部件供应商，面临着减轻后扭梁 (RTB) 悬架系统的质量并提高其耐用性的挑战。 RTB 设计是一项复杂的任务，除了满足刚度和耐久性目标之外，还需要仔细考虑弹性运动性能。实验设计 (DOE) 和优化方法用于探索可用的设计空间并最大限度地减少低成本 RTB 设计的质量。耐久性要求被认为是此类 RTB 设计的主要质量驱动因素之一。 “U 形”RTB 的设计通常需要考虑几个相互关联的目标，包括侧倾刚度和侧倾转向，这些目标受到扭转元件的形状、位置和规格的强烈影响。
关于客户
海斯坦普是福特、大众、宝马和本田等客户的全球底盘零部件供应商。其技术中心位于英国、西班牙和德国，通过遍布世界各地的制造基地来支持不断扩大的全球业务，开发低成本、大批量的底盘产品。组件质量和成本（与质量密切相关）是每个客户的驱动因素，自 2005 年以来，海斯坦普一直在使用基于 Altair 产品的优化驱动设计流程。海斯坦普已经认识到通过优化“U”形截面来减少质量的潜力设计。
解决方案
为了应对这一挑战，海斯坦普选择 Altair 开发一套自定义工具，称为“RTB 工具箱”，可用于生成满足运动学和合规性 (K&C) 要求（例如侧倾刚度/转向）的初始 RTB 概念，从而消除了最初的“试错”设计循环。该软件使用高性能预处理器 HyperMesh 中提供的功能为 RTB 装配中的每个组件设置形状设计变量。 HyperStudy 用于控制 DOE 研究，可详细了解每个目标对输入参数的敏感性。接下来是最终的优化步骤，从中生成概念表面。设计过程的下一阶段是根据优化的 Toolbox 输出创建 CAD 模型。该模型作为满足耐久性和强度标准的工作基准。
运营影响
数量效益
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