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Design Optimization
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Within HEEDS Professional, engineers can easily define design parameters and multidisciplinary design goals, and choose analysis tools to judge a design’s performance. Then, HEEDS performs design iterations automatically while searching for design parameter values that simultaneously meet all targets and criteria. Using advanced proprietary optimization algorithms and intelligent strategies, HEEDS Professional effectively searches even the most complicated design spaces, so you discover better designs, faster.
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Optimization Algorithms |
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SHERPA |
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Simulated annealing |
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Multi-objective SHERPA |
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Response surface |
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Genetic Algorithm |
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Multi-start local search |
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Quadratic programming |
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Design of Experiments (DOE)
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When it’s important to predict design sensitivities, or gain a clearer understanding of your design space, a HEEDS Professional design of experiments (DOE) study is often the ideal approach. It allows you to extract a great deal of useful information quickly, with the least computational or experimental effort possible. In a HEEDS DOE study, your CAE model is automatically evaluated multiple times with the design variables set to different values in each run.
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Easily predict design sensitivities
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A HEEDS DOE study helps you identify, and focus on, the variables that affect your design the most. Variables that are not important can then be ignored or set to values that are most convenient or least costly. This allows you to control quality more effectively while lowering cost.
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Clearly understand your design space
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The results of a HEEDS DOE sampling process can be used to generate an approximate model of your system, often called a response surface model (RSM).
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Visualizing your design space |
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Examining the relationships among variables and their effects on key responses |
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Quickly evaluating different designs without performing additional expensive CAE evaluations or experiments |
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HEEDS Professional offers a broad range of DOE sampling methods and post-processing features. Also, if you’re not an expert at DOE, HEEDS’ unique DOE wizard can guide you through the definition of your problem, ensuring that you obtain the information you need.
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DOE sampling methods |
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Full factorial designs (2-level and 3-level) |
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Central composite designs |
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Fractional factorial designs (2-level and 3-level) |
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D-optimal designs |
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Taguchi orthogonal arrays |
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Taguchi robust design arrays |
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Plackett-Burman designs |
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User-defined arrays |
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Latin hypercube designs |
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User-defined response data |
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Process Automation
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The HEEDS Professional process integration module makes you more productive by capturing and automating your existing processes. With HEEDS, your data flows automatically between CAD, meshing tools, simulation tools, in-house proprietary codes and cost models, eliminating tedious manual data transfer and costly errors. After a process is captured and validated, it can be used over and over by engineers throughout your organization.
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HEEDS Professional process automation features include: |
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Direct portals to common CAE tools for data extraction |
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Automated execution of multiple simulation and analysis tools within a design evaluation process |
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Integration and sharing of data among separate simulations |
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Support for parallel processing on networks, clusters, and multiprocessors |
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Quality Design Tools
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Finite geometric tolerances, variations in material properties, and uncertainty in loading conditions will cause any manufactured part to perform slightly differently in service. However, the performance of a robust and reliable design will not change much with these expected variations and remains above an acceptable level at all times. To evaluate the robustness and reliability of a design, its variables and system inputs are made stochastic – they are defined in terms of both a mean value and a statistical distribution function. The resulting system performance characteristics are then measured in terms of a mean value and its variance.
With HEEDS Professional, stochastic variations can be assigned to all design variables as well as fixed system parameters so that a stochastic simulation can be performed, helping you achieve designs that meet the highest quality standards for robustness and reliability.
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Quality design capabilities |
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Taguchi robust design arrays |
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Structured sampling |
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Random (Monte Carlo) sampling |
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