Composites Structural Optimization modeFRONTIER + Ansys Composite Prepost
The proceeding focuses on the fact that composites structures can be optimized easily using ACP and modeFRONTIER just defining some free parameters as materials, number of layers, fiber orientation, etc. It is possible reduces weight and minimize the risk of failure, since modeFRONTIER deals with muitiobjetive optimization. A multidisciplinary optimization can be performed using a parametric geometry and CFD simulations couple with Structural Analysis.
Developing renewable energy systems using ModeFrontier
The design and testing of new devices can be very difficult and time consuming. It is always difficult to combine requested precision with available time. modeFRONTIER can be very useful in speeding up the design procedure in every step of the process. In this article two different applications of this philosophy will be presented. The first regards the first step of the design of a 3 MW wind turbine. The second example regards the exploration of the design space of a combustor for TPV application using a simplified model.
modeFrontier Application to Innovative Wind Generators
In this proceeding the application of modeFRONTIER optimization tool has been reported for the design of a slotless micro-wind generator. The use of modeFRONTIER highly simplified the design process by shorting the development time. The Pareto frontier has been progressively reduced by transforming objective functions into constraints single-objective optimization. The optimal design has been implemented in the actual generator which has been manufactured and tested, and test results have confirmed the effectiveness of the design approach.
Methodology for Combustion Engine Multi-Objective Optimization using Meta-Models and Genetic Algorithms
This work presents a methodology for multi-objective optimization of a Diesel-engine. The objectives are maximizing the brake power while minimizing NOx emissions, using GT-POWER for the combustion analysis and modeFRONTIER for Design of Experiment (DOE) and multi-objective optimization. In the optimization process, modeFRONTIER runs in batch GT-POWER to create the new designs and to do the engine calculations
Enhancing MPC based Motion Cueing algorithm using modeFRONTIER
Driving simulators are widely used in different applications: driver training, vehicle development, and medical studies. To fully exploit the potential of such devices, it is crucial to develop motion control strategies that generate realistic driving feelings. This has to be achieved while keeping the platform within its limited operation space. Such strategies are called motion cueing algorithms. A recent implementation of a motion cueing algorithm is based on Model Predictive Control technique. A distinctive feature of such approach is that it exploits an optimization procedure at each step based on a detailed model of the human vestibular system, and consequently differs from standard motion cueing strategies based on washout filters. In this approach the MPC technique is used to compute the platform positions that best reproduce the desired perception in the platform.
Upfront simulation and CAE driven design Reality or long term dream
This upfront simulation is the key driving force for a paradigm shift in product development and, though the MDO is integrated in the development cycle at JLR, it must now be allowed to drive geometry changes. It therefore needs to be aware of the manufacturing and cost implications of any changes proposed. Without this check, the process would constantly present theoretical geometries – impractical, difficult or costly to manufacture. This paper describes how it is possible to use an MDO for upfront simulation and showcase a process that could lead to a truly CAE driven design.
Role of Hybrid Simulation in Vehicle Development
This presentation focuses on the role of hybrid simulation in hybrid simulation
Multiobjective Electromagnetic Optimization of RF components and systems
In this presentation one of the challenges to be accomplished by the simulation tool is the ability to contribute more and more to the increasing wish of a shorter time to market of the RF product. To this aim Multi-objective optimization has been considered, combining the strength of CST MWS2, one of the most applied 3D electromagnetic simulation tool, with modeFRONTIER 3.
Multidisciplinary Design Optimization of Industrial Robots
The work includes a multidisciplinary design optimization framework for modular industrial robots. The proposed framework utilizes well-established methods such as metamodeling and multi-level optimization in order to speed up the design optimization process. The contribution of the work is to show that by applying a merger of well-established methods, the computational cost can be cut significantly, enabling search for truly novel concepts.
In order to introduce industrial relevance, a modular industrial robot has been chosen as a design study.
Multi-objective Optimization for Production and Supply Chain System
Modeling is an effective way for designing, understanding or analyzing real-world processes and systems. A model facilitates a decision maker to gain a better understanding of the complexity of a process/system and evaluate/predict its performance under various circumstances. The modeling method for supply chain proposed in this talk is based on system dynamics (SD), which is an approach based on information feedbacks and delays in the model in order to understand the dynamical behavior a system. A SD model facilitates the representation, both graphically and mathematically, of the interactions governing the dynamic behavior of the studied system or process as well as the analysis of the interactions and their emergent effects.