Material Modelling at Volvo Cars, Mapturing Set of Stress-strain Curves for Efficient Reuse
Capturing data on variation in material quality and the correlations in material property is key to predict material failures and allow for model reuse. Material properties of the rear components of a Volvo car are analyzed from a safety perspective, to improve the energy absorption capability of the bumper and prevent components’ replacement.
Numerical Optimization of Analytical Measurement Techniques to Contribute to Improvement of Product Engineering Techniques
Ensuring high product reliability by preventing human error when performing physical and chemical analysis of hardware is key to Fujitsu analytical group. Nanometer level measurement or tools like the low-dose alpha rays detectors are indispensable for demonstrating the high reliability of the company’s products. However, the setup and calibration phases can be very tedious and challenging.
OPTIMHEX Project - developing an innovative methodology for Heat Exchangers (HE) design
Develop a versatile, innovative methodology for designing virtual HE models that targets performance, materials, weight, size and manufacturability as an alternative to conventional approaches requiring prototyping and physical testing.
Pressure drop reduction in cyclone separator for natural gas by means of design geometry optimization
This study was based on optimization processes using genetic algorithm MOGA-II in modeFRONTIER and 3D CFD simulations. The focus was on improving design of a cyclone separator for natural gas in order to minimize pressure drop that will increase efficiency.
modeFRONTIER Implementation Challenges and Benefits at IAI
Multidisciplinary Design Optimization (MDO) is considered a common practice for complex engineering design problems characterized by a high number of design variables, multiple conflicting cost functions (multiple objectives) and numerous constraints, which are all product of different discipline simulations.
Design by Optimization of Ship Hull Forms. New perspectives through full parametric modelling and multi-objective optimization
Conventional hydrodynamic studies in ship engineering have so far relied in physical tow tanks testing for the analysis and prediction phases as well as approximate modeling for what concerns design methods. This often results in a slow and inefficient process. At the MIT’s iShip Lab, a new approach including virtual towing tanks and automation of the design process is being developed.
Optimization Applied to the Bearing Design of an Automotive Subsystem
Researchers at SKF Automotive Development Centre aimed at improving their bearing design for automotive subsystems by reducing the friction at the wheel-end by 30% while respecting the life service requirements. The results of each study listed remarkable improvements (up to 19%) and allowed researchers to consider different bearing configurations, in terms of number of rollers and size, and spot the optimal friction reduction conveying robustness improvements to the bearing.
Dynamics Optimization of Controlled Mechatronic Systems - Comparison Between Time and Frequency Domain
The experimental plant at the University of Strasbourg is used to analyze and improve mechatronic systems. In this case, a roll-to-roll system must be designed in order to satisfy the following conditions: must wind/unwind web material at high speed, ensure that the speeds and tension are monitored and must be robust regarding parameter variations.
Fluid Dynamic Design Optimization of an Innovative High Temperature Gas to Gas Heat Exchanger
Polytechnic researchers aimed to design a high temperature gas-to-gas HE based on solid particles for medium and large-scale combined power plants fed by alternative and dirty fuels such as biomass and fuel. modeFRONTIER reached all the optimization goals and reduced the overall optimization time through the use of parallel computing.
modeFRONTIER Application in Biotechnology - Unbiased Guidelines for Driving Rational Enzyme Evolution
Researchers must improve the efficiency of the biocatalyst to make them available for industrial use. A scoring function integrating an empirical approach was used to maximize the predictive capability and control the engineered enzyme performance. modeFRONTIER’s selection of genetic algorithms empowered researchers to mimic natural evolution, thus providing valuable insight when grading the engineered enzyme quality.