下载PDF
Schlemmer GmbH: Achieving Zero-Defect Goal with Simulation in Cable Protection
技术
- 分析与建模 - 数字孪生/模拟
- 网络安全和隐私 - 入侵检测
适用行业
- 汽车
- 生命科学
适用功能
- 质量保证
用例
- 数字孪生
- 虚拟现实
服务
- 测试与认证
挑战
Schlemmer GmbH 是电缆保护系统领域的领导者,在测试电缆保护软管的刚度和变形行为方面面临着重大挑战。这些测试(包括弯曲和挤压测试)对于确定软管承受拉力、弯曲和机械压缩组合的能力至关重要。然而,这些测试需要生产昂贵的原型,这不符合成本效益。此外,软管的大变形、材料行为和非线性接触的模拟需要强大的非线性功能。该公司需要一种解决方案,能够在新产品概念阶段的早期提供有价值的信息,以减少所需的原型数量。
关于客户
Schlemmer GmbH 是一家开发、生产和销售汽车和工业应用电缆保护系统的公司。他们的传统产品组合包括波纹管、光滑管和保护管、歧管和连接器接口,以及定制的电缆管道和电缆导管。该公司还经营其他业务领域,包括采用压盖技术的连接系统、采用探头和传感器的机电一体化系统,以及采用输送管线、管线系统和储液器的空气和流体系统。车削零件在扩大公司业务方面也发挥着重要作用。公司的目标是保持其在电缆保护系统领域的领先地位和质量。
解决方案
Schlemmer GmbH 采用 ANSYS Mechanical 软件对弯曲和挤压测试进行建模和模拟。该软件使他们能够将软管定义为非线性弹塑性材料,并进行大变形和非线性接触的模拟。这使他们能够比较替代设计的结果。 ANSYS Mechanical 为接触定义和非线性仿真提供了简单快速的设置。其强大的接触算法提供了较短的求解时间并且需要很少的用户输入。该软件能够模拟各种条件,使工程师能够改进最终设计,从而减少昂贵的原型的数量。该解决方案通过提高产品的稳健性帮助施莱默保持其在电缆保护系统领域的领先地位和质量。
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.