下载PDF
Banco Products India Ltd.: Reducing Physical Prototyping with IoT
技术
- 分析与建模 - 数字孪生/模拟
- 传感器 - 环境传感器
适用行业
- 汽车
适用功能
- 产品研发
- 质量保证
用例
- 虚拟原型与产品测试
- 虚拟现实
服务
- 硬件设计与工程服务
- 测试与认证
挑战
Banco Products India Ltd. 是发动机冷却系统和密封垫片等设备的领先制造商和供应商,在散热器的开发过程中面临着重大挑战。散热器是汽车发动机冷却系统的关键部件,由于车辆的多样性,其设计必须满足各种条件。散热器的复杂几何形状包括散热器芯中带有数千个凹坑的几片薄片,需要满足冷却性能和强度要求。这种复杂性使得模拟变得困难。此外,散热器的性能通常由冷却液出口温度决定,Banco设计了多种类型的散热器以满足各种车辆的冷却要求。对每个设计进行物理测试不仅耗时而且成本高昂。
关于客户
Banco Products India Ltd. 是商用车、乘用车和工业产品的发动机冷却系统和密封垫片等设备的领先制造商和供应商。该公司是印度向欧洲最大的售后散热器出口商之一,在北美、中东、非洲和南美的业务不断增长。他们设计了一系列必须在各种条件下可靠运行的散热器,以满足各种车辆的不同冷却要求。
解决方案
为了克服这些挑战,Banco 开发了一种工程方法来有效地使用仿真进行设计。他们采用 ANSYS 产品系列来准备用于仿真的复杂几何结构。 CAD 几何体在 ANSYS Workbench 内的 ANSYS DesignModeler 中进行清理,并使用 ANSYS 网格划分功能生成高质量网格,以获得准确的 CFD 结果。使用 ANSYS Fluent 技术准确预测冷却剂出口温度,并通过 ANSYS HPC 加速。此外,还确定了散热器的固有频率,并使用 ANSYS Mechanical 对散热器集流箱进行了应力分析。这种方法不仅减少了对物理原型制作的需求,而且还节省了成本,满足了更高的性能和强度目标,并加速了产品开发。
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.