Appliances are expected to perform at higher levels due to increased regulatory requirements, greater connectivity, and greater competition in the marketplace. Quick delivery to market in a predictable time is needed to win with consumers before competitors do. Large global companies have to control parts proliferation to create global leverage. These are just a few of the reasons Whirlpool Corporation is taking a model-based System Engineering approach to managing the complexity of designing appliances by using the SysML modeling language.
While many techniques and tools are available to perform an optimization analysis, during the relative quick pace of automotive development the difficulty is having the time to use these tools to find an optimal solution considering the number of variables and types of analyses that need to be included in the process.
It is a complex task to develop and optimize a high-performing haptic device, mainly because of the multi-domain and multi-criteria performance requirements for such devices. The general goal for the research presented in this paper is to further develop the previously proposed model-based framework and methodology into a situated and computationally efficient design framework for multiobjective optimization of haptic devices.
Building energy performance largely depends on facade design and local weather characteristics. modeFRONTIER has been used - together with Rhino/Grasshopper plugin - to maximize winter radiation and minimize structural mass of a office building floor located in Toronto, Canada.
A multidisciplinary optimization framework connecting the geometric model, aerodynamic model and structural model is performed on a wing shape with predefined loads on the wing. For global optimization, MOGA is used and for local optimization Simplex algorithm is used as the design variables are continuos.
This paper presents a Multidisciplinary Design Optimization (MDO) framework that is intended to be employed in the early design stages of Unmanned Aerial Vehicles (UAVs). A development approach for modeling the sensor performance and the radar signature is proposed and it is shown that their integration in a framework which also takes into account the geometry, the aerodynamics, the stability, and the mission simulation is feasible.