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Optimizing CAE with IoT: A Case Study of BASF Engineering Plastics
技术
- 基础设施即服务 (IaaS) - 虚拟私有云
- 传感器 - 化学传感器
适用行业
- 化学品
- 塑料
适用功能
- 产品研发
- 质量保证
用例
- 交通模拟
- 虚拟现实
挑战
巴斯夫工程塑料是世界领先的化学公司巴斯夫的一个部门，其任务是在开发周期的所有阶段提供卓越的工程设计、模拟和测试支持。该小组的主要目标是在开发周期的所有阶段提供卓越的工程设计、模拟和测试支持。然而，各种客户对现代材料应用的支持往往需要新的概念，使材料的优点变得适用。由于需要不断开发现代虚拟方法来满足客户的需求，这一挑战进一步加剧，因为该公司相信数学零件优化将在未来几年内作为首选方法得到广泛接受。
关于客户
巴斯夫是世界领先的化工公司，产品组合涵盖石油和天然气、化学品、塑料、高性能产品、农产品和精细化学品。巴斯夫通过其高价值产品和智能解决方案帮助几乎所有行业的客户取得更大成功。该公司在寻找应对气候保护、能源效率、营养和流动性等全球挑战的答案方面发挥着重要作用。巴斯夫拥有超过 95,000 名员工，2007 年销售额近 580 亿欧元。工程塑料部门的设计能力在于其应用开发工程团队，该团队在其活动中采用了领先的技术和方法。
解决方案
为了应对这一挑战，巴斯夫工程塑料在巴斯夫 CAE 活动的框架内越来越关注数学零件优化。该方法不仅可以在计算机上设计最佳零件，而且填补了虚拟零件开发的空白。 Altair OptiStruct 是此过程中的初始工具。数学优化方法为虚拟 CAE 零件开发提供重要支持。在项目的早期阶段，拓扑优化为零件的几何设计提供了宝贵的线索。有关精确尺寸的后续问题可以通过参数优化运行来有效回答。必须特别强调为此目的使用变形方法。
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