DEP’s superior Multi-disciplinary design optimization (MDO) solves design problems rapidly and accurately while incorporating a number of disciplines simultaneously.
Instead of optimizing each discipline sequentially, MDO allows designers to incorporate all relevant disciplines simultaneously. Since doing so can also explore and optimize the interactions between the disciplines, MDO can significantly save time, and provide a superior optimized solution.
DEPs unique advantage is the use of proprietary MeshWorks based parametric & non-parametric CAE models, which facilitate MDO to meet design targets, minimize product weight and minimize manufacturing costs. MeshWorks parametric models can robustly generate multiple runnable analysis data sets given a Design of Experiments (DOE) matrix.
This can be executed in a batch mode and can be integrated within automated work flows as well.
Within DEP MeshWorks, ready interfaces are available to major optimization software such as Isight, ModeFrontier, Heeds, Optimus, LSOPT, etc.
This process lends itself to multivariate, multi objective, multi disciplinary optimization. All of this can be accomplished with the same ease of solving a traditional single disciplinary optimization problem.
MeshWorks based parametric & non-parametric CAE models facilitate MDO to meet design targets, minimize product weight and minimize manufacturing costs.