aPriori to Present Design of Experiments Solution with ESTECO at NAFEMS
Meet aPriori at the 2018 NAFEMS: Engineering Analysis & Simulation in the Automotive Industry and learn more about our cutting-edge design of experiments solutions. The presenters at this event will be Amanda Bligh, Principal Consulting Engineer at aPriori and Ansley Barnard of ESTECO.
As companies seek to decrease cost and time to market for their products, high quality simulation has become a critical component in the early design phase. Simulation controlled through an optimization algorithm can make better use of computational resources by autonomously and intelligently guiding the engineer to solutions that meet their objectives and constraints and reveal greater understanding across the breadth of their design space. However, in many cases, multiple objectives exist and are often in conflict with each other making it difficult to determine a single optimized solution. Multi-objective optimization can be an effective strategy to solve these problems.
Much like performance metrics, product manufacturing cost is highly influenced by early design decisions and including an understanding of it during this phase provides a key opportunity to shape the product for cost effectiveness while design and manufacturing processes are still malleable. However, engineering design and simulation is often conducted well before product costing, limiting the scope of affordable design changes that can be made once costing analysis has been completed. Integrating feature based product cost models with physics-based simulation in an optimization loop provides an opportunity to drive engineering design from the cost perspective while meeting the same performance requirements.
In this presentation, we will share a multi-objective optimization for a chassis component. Evaluating both Noise, Vibration, and Harshness (NVH) performance and part cost simultaneously, the optimization will seek a solution that is both affordable and high-performing. We will present a method of integration between the part design parameters, NVH simulation, and manufacturing cost models to yield a system of optimized solutions for a cost effective part. The results of the analysis will be presented, showing a spectrum of solutions across multiple objectives from which one or more final designs could be selected.
For more information or to schedule a private demonstration at the show, please send us an email at firstname.lastname@example.org