Auto-Correlation of Occupant Restraint System Model Using Bayesian Model Validation Metric
The presentation focuses on the auto-correlation of occupant restraint system model using Bayesian Model Validation Metric
Shape Optimization of A Floor Duct For Weight and Pressure Drop Using modeFRONTIER and Sculptor
The following presentation focuses on the shape optimization of a floor duct for weight and pressure drop using modeFRONTIER and Sculptor
Design Optimization and Robust Design for Fatigue
HBM nCode is a powerful tool used for fatigue and durability analysis, and this presentation illustrates some integration cases with modeFRONTIER, for multi-objective optimization design.
The first case is relative to the Robust Design, or Design under Uncertainties, of an aluminium carter. The structural model is defined in Ansys Workbench, and the stress results are elaborated by HBM nCode to compute the Design Life; both software are easily integrated in modeFRONTIER workflow.
Multi-disciplinary Design Optimization for Human Well-Being
Human well-being and system performance is a multi-faceted field that often requires optimisation within the field of ergonomics. The simulation software AnyBody Modelling System provides a useful tool for analysing the muscular-skeletal system of humans (and animals) that for given movements allows computing muscle forces, joint reactions, metabolism, mechanical work and efficiency. The use of this analysis tool permits us to quantitatively analyse movement patterns, working positions and anthropometric data, which in turn enables automatic optimization to be carried out.
MultiObjective Optimization in Engine Design Using Genetic Algorithms to Improve Engine Performance
The use of genetic algorithms (GAs) is enjoying ever-increasing popularity among engineers and designers as a way of optimizing their products and processes. One of the major advantages of such techniques is that they allow true multiobjective optimization (where the objectives are kept separate throughout the optimization process, rather than being collapsed into a single, weighted objective function from the beginning).
Coupling efficient multivariate analysis and optimization strategies with an innovative flow solver for hull hydrodynamics
In this work, an innovative flow solver based on OPENFOAM® 1 technology that combines free surface effects with a viscous solution is employed for accurate drag prediction with fast turnaround times ideally suited for an optimization study
Shape Optimization of a Monohull Fishing Vessel
This work aims to ship hull shape optimization for multi-objective purpose - resistance and culations. This is carried out on a ﬁshing vessel. Design variations, objectives and constraints are set up according to a naval architect’s speciﬁcations.The work was performed by SIREHNA within the French project COCHISE, led by B.E.Mauric as a naval architect, with the support of the French department for ﬁsheries, together with the OMD2 project supported by the National Agency for Research (ANR).
Multi objective design optimization of a cargo ship rudder, using the efficiency of the ANSA-modeFRONTIER-META coupling
This paper presents the implementation of an automated process for the definition of a CAE model of a spade rudder with rudder trunk and the strength analysis of it. The automated CAE model set-up capability of ANSA pre-processor is used to define CAE models for static, contact and CFD analyses. ANSA, and μETA post-processor, which is exploited for the extraction of responses from the solver results, are coupled to the modeFRONTIER optimizer for the identification of the best rudder shape.
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.
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.