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Revolutionizing Automotive Component Design with IoT: A Case Study of AAM
技术
- 无人机 - 垂直起降/垂直起降混合无人机
- 功能应用 - 制造执行系统 (MES)
适用行业
- 汽车
适用功能
- 产品研发
- 质量保证
用例
- 添加剂制造
- 制造过程模拟
挑战
AAM 是一家全球汽车传动系统供应商,面临着重新设计汽车运输车的挑战,其重量和材料用量均低于原来的汽车运输车。该公司总部位于密歇根州底特律,在 13 个不同国家设有办事处,专门从事车轴、底盘模块、传动轴、变速箱零件和金属成型产品的设计和制造。我们面临的挑战是创造一种轻量化设计,不仅可以提高性能,还可以提高效率和燃油经济性,这在汽车市场中尤为重要。
关于客户
AAM 是一家全球一级汽车供应商,为轻型卡车、SUV、乘用车、跨界车和商用车提供传动系统和传动系统。该公司总部位于密歇根州底特律,在 13 个不同国家设有办事处。 AAM 专门从事车轴、底盘模块、传动轴、传动部件和金属成型产品的设计和制造。该公司是 Inspire 的早期采用者,多年来已在多个项目中使用它。 AAM 目前正在使用 Inspire 为其许多设计生成概念,并计划继续使用 Inspire 协助其结构设计,不仅减少质量,还增加零件刚度。
解决方案
AAM 将solidThinking Inspire 纳入其设计流程中,为重新设计的载体生成最佳设计。该过程首先在 CAD 中创建基本设计空间,该空间代表重新设计的航母可以占据的最大体积。此后,应用所有加载条件。使用 Inspire,应用了垂直横梁和齿轮正向和反向负载条件以及制造限制。 Inspire 随后为新零件生成了理想的形状,从而为零件创建了优化的罗纹设计。结构部件针对弯曲和偏转性能进行了优化。经过对新设计的进一步测试、解释和验证,AAM 确定新设计比原始设计轻 20%。
运营影响
数量效益
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.