Driving Product Development with CAE and System Design at Whirlpool Corporation | UM14
Whirpool aims to cultivate advanced engineering knowledge in dynamics, structures, fluids, thermodynamics and controls, and embed it in the design process. In doing so, they strive to shorten the design cycle, minimize the reliance on build-and-test methods and leverage the global talent within the company.
Optimising the Cost of Flooding
The ￼￼Water & Environment division of Akins UK deals with the planning of emergency response, maintenance, and minor improvements as well as construction management for major works related to flooding. After investigation, the consultancy company simulated flooding propagation and sewer condition to assess risks and plan interventions.
Applications of modeFRONTIER in Liquid Propellant Rocket Engine Design
The design of the L75 rocket engine, which started in 2008, required liquid oxygen/kerosene as propellant pair, 75 kN of thrust in vacuum and an estimated specific impulse of 324 s. However, in 2013 the engineers switched to ethanol as fuel, which caused a 30% power decrease calling for engine design re-definition.
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.