Combining 工程 data science with design exploration is the new powerful approach helping designers and engineers from all industries to improve their designs effectively. By using an automatic process for data creation, 数据集的收集和导入, HyperStudy enables the design space to be smartly and efficiently explored leading to dramatic time savings. 自动数据分析, through a broad portfolio of data-mining tools, 是获得洞察力的必要条件吗, understand trends and make better decisions, 同时开发创新新概念.

Increasing pressure on improving equipment performance are pushing the limits of simulation predictions. 在大多数情况下, 模型输入参数比较困难, 如果不是不可能确定, and material data tends to be average values produced by suppliers. Calibration by optimization offered by HyperStudy allows tuning of material characteristics with respect to experiments. 从复合材料到磁性材料, HyperStudy provides an easy way to attain accurate models by minimizing the difference between simulation vs measurement.

Modern architectural design firms face the challenge of offering innovative designs exploiting new materials, while balancing form and function with sustainability initiatives all within delivery schedules. 用于大规模的建筑, 工程, 建设(AEC)项目, frequent change orders while retaining on-time delivery pressure is common. HyperStudy capabilities for design exploration and optimization bring novel technologies to traditional simulation methods. It enables a broader community of designers and civil engineers to confidently and rapidly apply simulation both earlier and throughout AEC projects, 从设计指导到验证, 安全施工, 准时.

Both the time-to-market of a product and its performance are particularly important in the medical domain where a solution delivered 准时 really changes peoples’ lives. Simulation technology combined with design exploration and 机器学习 enables engineers to meet those challenges effectively.