技术
- 网络安全和隐私 - 入侵检测
- 功能应用 - 制造执行系统 (MES)
适用行业
- 生命科学
适用功能
- 产品研发
用例
- 制造过程模拟
- 结构健康监测
关于客户
Elisava 赛车队于 2018 年在巴塞罗那 ELISAVA 设计与工程学院成立。该团队由应届毕业生组成,他们接受了设计和开发电动摩托车的挑战,以参加巴塞罗那智能摩托车挑战赛,这是一项每年在加泰罗尼亚举行的国际比赛。比赛的重点是可持续出行,来自世界各地的大学团队使用自行设计的电动摩托车参加越野赛。该团队通过使用 Altair 解决方案优化其摩托车的多个结构部件,取得了出色的比赛成绩。2019 年,该团队凭借电动摩托车“ERAY”赢得了五个奖项,并在 2020 年凭借摩托车“Dayna”继续取得成功。
挑战
Elisava Racing Team 是 ELISAVA 巴塞罗那设计与工程学院最后一年学生的一个项目,他们面临着设计和开发电动摩托车以参加巴塞罗那智能摩托车挑战赛的挑战。该团队已经优化了之前设计“ERAY”和“Dayna”的重要结构部分,但希望将他们的最新设计“Dayna EVO”更进一步。该团队的目标是打造一款具有物联网连接和医疗服务能力的 100% 电动越野摩托车。他们寻求提高自行车的安全性、舒适性和结构性能,目标是打造更轻、更简单的自行车。为了实现这一目标,他们需要仿真工具来生成形状、预测材料行为并优化全电动摩托车的制造工艺。
解决方案
该团队使用 Altair® Inspire™ 进行拓扑优化,优化多个结构部件的设计,同时实现最大程度的减重。他们首先分析了原始底盘的性能。对于铝制副车架,他们应用 Inspire 来最大程度地减少结构组件的重量,并使用 Altair® Inspire™ Print3D 来优化制造流程。为了设计自行车的摇臂,他们研究了三种主要负载情况,并使用 Inspire 进行了各种迭代,以生成具有最佳形状的几何形状。对于碳纤维车把,他们使用 Altair® HyperWorks® 通过修改层数来优化复合材料,以实现所需的性能。最后,他们使用 HyperWorks 模拟新零件和复杂组件,并评估它们在不同赛车场景中的性能。
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