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University of Texas – Arlington Leverages IoT for Racecar Design
技术
- 分析与建模 - 数字孪生/模拟
- 传感器 - 自动驾驶传感器
适用行业
- 航天
- 汽车
适用功能
- 产品研发
- 销售与市场营销
用例
- 时间敏感网络
- 虚拟现实
服务
- 测试与认证
挑战
德克萨斯大学阿灵顿分校的 Formula SAE 赛车队在重新设计 2019 年赛车的踏板箱组件时面临着重大挑战。以前的踏板盒组件由碳纤维和泡沫芯体制成，带有铝制踏板和安装件，存在车身弯曲和需要加固的问题，不幸的是，这增加了超出原始设计的重量。该团队还发现设计和模拟过程非常耗时。面临的挑战是使踏板盒组件更坚固、更轻且更易于制造，同时减少设计和仿真所花费的时间。
关于客户
德克萨斯大学阿灵顿分校 (UTA) Racing FSAE 团队成立于 1976 年，一直参加美国、英国、日本和澳大利亚的各种比赛。 37 年来，该团队已制造了 30 多辆汽车，并在多个国家登上了领奖台。该团队分为九个子系统，每个子系统由一名总工程师领导，负责系统集成和主要设计目标。 UTA Racing 隶属于德克萨斯大学阿灵顿分校机械与航空航天 (MAE) 系。
解决方案
该团队决定使用铝制部件而不是碳纤维部件重新设计踏板箱组件，这将使制造和修改变得更容易（如有必要）。他们使用 Altair 的 SimLab 进行仿真研究，该模型提供了更快且结构良好的输出。该模型使用 Optistruct 在 HyperMesh 中求解。在评估和选择各种设计后，团队以相同的方式制造了所有组件。踏板箱设计为可针对不同驾驶员进行调节，并满足 95% 男性和 5% 女性驾驶员模板的 FSAE 规则。
运营影响
数量效益
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