Design and Optimization of an Antenna using CST Microwave Studio and modeFRONTIER
The work describes the design process of a small antenna located on a large platform. The antenna chosen as a solution is a combination of a Slot Antenna and Travelling Wave Antenna that was modeled and simulated using CST Microwave Studio for return loss and radiation pattern performance. Initial Simulation Results Matching over the full frequency range was nearly impossible due to dimension constraints and coupling from the platform.
Multi-objective optimization in industrial robot design and robotic cell design
Task placement positions have significant impacts on robot performance: combined drive-train and task placement optimization explores better trade-offs between time performance and lifetime and between time performance and power consumption. Multi-objective optimization explores good insight for designers in robotic cell design. modeFRONTIER has contributed to our understanding of the robotic cell design optimization problems. We see increasing need in multi-objective optimizations in industrial robotic cell design , and robot family design.
The Development and Optimization of a Real-world Control System using NI LabVIEW
The work focuses on the Rapid Model Development for complex systems that can be possible through a measurement based approach to model creation, in addition optimization methods can powerful tools for better model creation of non-repetitive systems.Optimization technologies allow for reduced test steps resulting in reduced time, and auto system calibration for system level testing.
Reliability Based Multidisciplinary Optimization of Aeroelastic Systems with Structural and Aerodynamic Uncertainties
In engineering design, uncertainties related to geometries, material properties, manufacturing processes and operating conditions are inevitable factors which should be accurately quantified and included while designing and optimizing a realistic system for a required level of reliability and efficiency.
CFD Analysis and Multi-Objective Optimization of a Diesel Engine for Automotive Applications
The goal of the study was to develop a light-duty common-rail engine with low emissions. The process consisted in an experimental analysis (including performance and acoustic tests and characterization of the fuel injection system), model configuration and validation and multi-objective optimization.
The use of Multi Disciplinary Optimisation in the automotive industry design process - The Jaguar Land Rover Experience
The presentation illustrates the importance of MDO for reducing the development cycle, and finding and resolving failure modes earlier in the process, avoiding thus traditional CAE trial-and-error approaches. In Jaguar Land Rover MDO is successfully applied for Crash, NVH, Restraints and durability to support vehicle programs.
Car style optimization by CFD and modeFRONTIER
Due to various difficulties in performing the classic aerodynamic optimization, a new RSM-based approach (Adaptive Multi-Stage Response Surface Modeling) has been developed, resulting in lower CFD calculation costs, more accurate response surfaces and sampling robustness
Multidisciplinary optimization of an ethanol SI-engine
The goal of this study was to optimize engine efficiency by coupling multiple disciplines (geometry, valvetrain kinematics, thermodynamic and thermo-mechanical simulation) in a modeFRONTIER workflow, and using response surface models and genetic algorithms.
Use of optimization tool for the design of flow blowing devices in car rear diffusers
In the design phase it is difficult to compare solutions which are not at the same level of possible performance. The optimization, however, allows the comparison of equally performing solutions: the use of flow blowing has proved to be very effective for improving the car rear diffuser.
Optimizing the aerodynamics during the design of passenger cars-coupling CFD with modeFRONTIER
A method has been presented for the coupling of modeFRONTIER with CFD simulations for the aerodynamic optimization of car shapes in pre-design and design phase. The use of RSM and optimization algorithms allowed to find an optimal solution for several applications with a limited number of CFD simulations.