open menu


  • Simultaneous Estimation of Multiple Thermal Parameters of Large-Format Laminated Lithium-Ion Batteries

    Lithium-ion batteries have proven higher energy density and longer life cycles than secondary batteries, yet HEV/EV manufacturers are held back due to thermal limitations. This paper presents a coupled experimental/computational method to simultaneously determine multiple thermal parameters of large laminated lithium-ion batteries. 

  • Design strategy for improving the energy efficiency in series hydraulic-electric synergy system

    Current vehicle hybrid/electric systems present limitations due to poor regeneration energy savings. The Series Hydraulic/Electric Synergy System (SHESS) is potentially a valid option for improving the overall energy efficiency of HEVs. However, the highly complex nature of this mechatronic system requires considerable design effort to simultaneously maintain reliability, contain maintenance costs and effectively avoid energy loss.

  • Understanding Real World Variations to Optimize New Generation Welding Processes

    Based on the objectives of the Remote Laser Welding (RLW) Navigator project, partners aim at building an innovative joining technology platform for the automotive industry by combining a universal simulation engine and the manufacturing system design information (CAD/CAM) with statistical analysis, variation simulation, optimization and control tools. 

  • Multi-objective Optimization of Automotive Assembly Line Configurations

    The early-stage design of automotive assembly lines is a critical multi-objective task. The design process is typically carried out in industry by continuous iterations between the process design department and the simulation and systems engineering department. 

  • Investigation About the Warm Deep Drawing of Mg Alloys Using Metamodels

    Lower fuel consumption and limited emissions are one of the main concerns of the automotive sector and can be achieved by vehicle lightweighting, i.e. adopting alloys with lower density and higher strength. Magnesium alloy is among the lightest materials, but has limited formability at room temperature. 

  • modeFRONTIER as a Design Optimization Educational Tool

    This presentation shows how the course is structured and how to guide students to gain both theoretical knowledge on optimization-based design and acquire some practical experience using state-of-the-art optimization tools such as modeFRONTIER.

  • Integration of modeFRONTIER and VI-grade Software for Efficient Multi-Objective Optimization in Multibody Systems Design

    Each company department has been traditionally performing single-discipline simulations on a single vehicle model in function of their specific goals, which are often conflicting. A more integrated approach was required to achieve all objectives at once without prejudicing any of them. 

  • 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. 

  • Optimisation in Development Phase of Vehicles Related to Total Cost of Ownership

    The AeroEfficient technology approach adopted by Bombardier and the multi-disciplinary optimization capabilities in modeFRONTIER takes into account constraints deriving from crash safety, structure, industrial design and ergonomic limits of the cabin to reduce aerodynamic drag. However, the most drag-efficient engineering concept presents weight concerns and high maintenance costs.

  • 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.


Sign in