Increasing passive safety performances using an automatic CAE methodology

In the automotive industry, safety requirements are more and more stringent leading to engineering challenges in finding the best tradeoff between crashworthiness performances, structure weight, design and production costs. The goal of the activity is to develop an automatic optimization work flow for a car door. The final objective is to fulfill the safety requirements and obtain the best rating in the pole test.​

ESTECO webinar recording | Integrating GT-Suite, ANSA, TaiTherm and modeFRONTIER to optimize a muffler heat shield

ESTECO, Gamma Technologies, BETA CAE Systems and ThermoAnalytics hosted a joint webinar on October 17th 2017, presenting the successful integration of their technologies in the modeFRONTIER workflow to reduce bumper temperature through coupled simulations for a compact car.

Thermal Analysis of a Diesel Piston and Cylinder Liner using the Inverse Heat Conduction Method

This Master’s thesis developed a thermal analysis model of a diesel piston that is used in Volvo Cars engines, which enhances the possibilities to determine the complete thermal loads of the car engine and can be used as a boundary condition when performing combustion CFD-simulation. 

Efficient Automatic Vehicle Shape Determination Using Neural Networks and Evolutionary Optimization

Improving the aerodynamic shape of a vehicle holds a large potential for cuts in emissions. This study attempts to optimize vehicle shape using neural networks and evolutionary optimization. modeFRONTIER was used on a simplified low-drag car model in a study of realistic changes of five design parameters.

ESTECO Webinar | Formula 1 Front Wing Composite Material Multi Objective Optimization Using Ansa, μeta and modeFRONTIER

​ESTECO and BETA CAE S.A. present the successful integration of their technologies to optimize the weight and the angle of attack of a Formula 1 front wing through a two-step approach​.​

A New Automated Underhood Thermal Management CFD DoE Workflow with ModeFRONTIER

Ford engineers are challenged to find a cost efficient cooling system concept for the underhood thermal management that suits different powertrains and environments, respecting standards (NACA duct) and without compromising the vehicle’s aerodynamic performance. From a thermodynamics perspective, the problem to address regards the high temperatures deriving from the friction inside the PTU (Power Take-off Unit) and surrounding parts which can cause the oil to overheat.

Webinar | Optimization of a cargo ship rudder using the efficiency of the ANSA-modeFRONTIER-META coupling

The recording of the joint webinar held by ESTECO and BETA CAE and focused on the integration of the two companies' technologies is now online. How to exploit the Ansa and Meta capabilities and spot the best possible solution? Watch the recording to learn more on modeFRONTIER 4.5 new integration features,  BETA CAE new release v15 and how to integrate the software and benefit from joint analysis.​

Improvement of engine acoustic behavior

The Simulation Dept. at BMW Motoren is responsible for improving diesel engines designs from the structural, acoustic, dynamic and fluid-dynamic point of view. In this presentation, BMW engineers aim to reduce noise generation of the combustion chamber that travels through the engine cover plate. 

Composite Material Multi-Objective Optimization Using Ansa, mETA and modeFRONTIER

modeFRONTIER workflow automation and optimization capabilities enabled Formula 1 car front wing engineers to integrate with ANSA and mETA software and reduce the weight by 27.4% and the angle of attack by 2.5%, thereby significantly improving the drag coefficient.

Upfront CAE Driven Design “The Future of Simulation”

Competition and customer demand are constantly pushing automotive manufacturers to launch new models at shorter intervals while satisfying the ever increasing demands in performance, environmental impact and costs. In order to remain competitive, an automotive OEM must cope by applying continuous pressure to reduce cost and improve design while reducing deployment time.