b'Engineer Innovation | Aerospacetheir computer-aided design (CAD) system, SolidWorks. They also wanted a tool that did not require a lot of time to set up a problem, processed a fast analysis, and provided the ability to visualize study results and graphically explore the design space. Lastly, because their CFD simulations tend to have long run times, they wanted a software that was cloud HPC (high-performance computing) ready.The solution that best met their needs was HEEDS software, the design space exploration solution from Siemens PLM Software. HEEDS works by capturing and automating an engineers current design workflow, based on design and analysis Figure 2: Bicycle design involves conflicting physics and unknown relationships among designtools of the users choice. The user variables: structurally optimized shape versus aerodynamically optimized shape; framedefines design parameters and geometry, tube shape selection, composite construction; rider configurations and body position.multidisciplinary design goals, then HEEDS automatically explores the design space to quickly identify feasible solutions that meet all the specified goals. A proof-of-concept project proved the ability of HEEDS to handle multiple design objectives for bicycle frame optimization. The aim of this study was to minimize aerodynamic drag at the same time as frame mass, while satisfying constraints on both stiffness and baseline mass. Parameters were set to drive the cross-section sketch in a CAD model. Simcenter STAR-CCM+ was used to compute the frame drag, and FEA software was coupled to the process to calculate mass and stiffness of the frame. HEEDS generated multiple design iterations, numerically and graphically characterizing the key performance attributes of each iteration, and showing how each iteration balanced theFigure 3: By making previously unknown correlations visible, multidisciplinary design optimization furthers understanding of the underlying physics, inspires dissection of problemstrade-offs between mass, structure from multiple angles, and encourages objective, data-driven conclusions and discoveries. properties and aerodynamic drag.Facing substantially greater demand for computational resources, Trek turned to cloud computing, taking advantage of the availability of HEEDS on an HPC cloud platform.30'