Attribute Modeling and System Level Performance Optimization for Household Appliances
The presentation shows how engineers at Whirlpool are involved in modeling product performance to provide optimized solutions at a system level. Modeling performance is codified by means of specific Attributes and Architecture that allows for the evaluation of product performance without setting specific requirements. After the assessment of "general" performance, the specific performance with clear requirements is optimized.
Driving Product Development with CAE and System Design at Whirlpool Corporation
Global companies need to make size an advantage by leveraging System Design approaches. Model-centric is key: free information flow, common processes, strong interfaces, collaborative environments, commitment to knowledge.
Using mode FRONTIER to integrate GT-Valve train and GT-Power models for valve event optimization
For optimum engine performance, valve timing and lift profile needs to optimized for a given breathing configuration dealing with engine speed and valves and port design and performance. During this project, mode FRONTIER helped engineers integrate GT models and replace the In-house optimization tool. The process flow was created in mode FRONTIER to automate the calibration process and develop the optimization study, initially with an RSM algorithm followed by the Hybrid in the direct optimization step.
Towards Handling Many Objectives Initial Results Using NSGA-III
Existing Evolutionary Multi-objective Optimization (EMO) methods encounter some difficulties
in handling design problems characterized by more than three conflicting objectives. The invited lecture present the promising initial results of the NSGA III adaptive algorithm in dealing with such problems.
Aerodynamic Optimization of a Turbocharger Compressor Impeller using modeFRONTIER
This paper presents a design approach of a turbo charger radial compressor for commercial diesel applications. The primary goal of the design is to maximize total to static efficiency at a specific mass flow rate and pressure ratio, while also providing useful performance at off design conditions (map width). The design of the impeller uses modeFRONTIER as the optimization driver, Concepts NREC AxCent as the geometry engine, and Concepts NREC pbCFD as aerodynamic analysis tool.
Design Optimization Applications in Automotive Industry
Where is optimization heading to at Ford Research & Advanced Engineering? Ren-Jye Yang, Senior Technical Leader, gives a comprehensive perspective on past, present and future optimization practices.
CFD-based cavitation prediction model calibration with modeFRONTIER and successful application to propeller hydrodynamics
Three different mass transfer models were successfully tuned, based on the experimental data of the Naca66(MOD) hydrofoil, using modeFRONTIER. The calibrated models were then applied to several propeller cases and the results obtained with the different mass transfer models were in line with each other and
agree well with the available experimental data. Successful reproduction, qualitative and quantitative, of the performances and cavitation patterns of propellers were made for non-uniform inflow.
Rear-seat Restraint Optimization Addressing the Different Needs of a Diverse Population
Most rear seats are too long for most children ages 4-17, a design optimization project was undertaken in order to explore the optimum belt and seat configurations for children with a range of body sizes.
Introducing Collaborative Optimization
Manufacturing products often require the assembly of components, the study of which involves different physics (e.g. Fluid dynamics, structural, thermal, electro-magnetic, etc). By increasing the complexity of the output performance assessment multi-disciplinary analyses are called into action, requiring disparate levels of individual expertise as well as computing resources. Airworks, a multidisciplinary company for mechanical engineering, was facing the challenge of improving efficiency in conversion of wind energy into electrical power by optimizing the whole assembly of a wind power unit rotor.
Predictions - Their relationship to optimization
"Why are we so bad predicting?" Starting from the most striking prediction failures, Ciro Soto wonders about the role of real phenomenon predictions in the engineering analysis and how RSM methods can help reducing the related errors.