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Specialized Accelerates Engineering Breakthroughs on Rescale
技术
- 分析与建模 - 数字孪生/模拟
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 设备与机械
适用功能
- 产品研发
用例
- 数字孪生
- 质量预测分析
服务
- 云规划/设计/实施服务
挑战
Specialized Bicycle Components, a leading manufacturer of performance bicycles, was facing constraints in their internal computing resources which were slowing down their product design cycles. The company's R&D teams were experiencing slow solve speeds which were limiting their ability to innovate and create new product designs. The company operates a proprietary wind tunnel for performance testing, but they also employ computer-aided engineering. However, their existing simulation workstations were becoming insufficient for the growing high performance computing needs of their Road Bike R&D team.
关于客户
Specialized Bicycle Components is a company headquartered in Morgan Hill, California. Founded in 1974, the company is engaged in the engineering and manufacturing of performance bicycles. Specialized is a leader in the hyper-competitive cycling industry and sponsors the top #1 and #2 professional cycling teams in the world. The company's mission is to be the best cycling brand in the world. To achieve this, their R&D teams face pressure to come up with better bicycle shapes and components each year with improved quality and performance.
解决方案
To overcome their internal computing constraints, Specialized adopted Rescale, a high performance computing platform. Rescale provided Specialized with instant access to compute scale and over 600 HPC applications to simulate their bike frames’ drag, weight, and stiffness and overall performance. This enabled their engineers to generate and simulate more iterations of product designs and configurations in less time. The company also used Simcenter STAR-CCM+, a complete CFD multiphysics solution for the simulation of products and designs available on Rescale, to gain a competitive edge in R&D prototyping. Additionally, Specialized leveraged Amazon Web Services (AWS) for its elastic and scalable cloud infrastructure.
运营影响
数量效益
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