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.
Innovative Computer Aided Solidification Technology
ERGOLINES and ESTECO teamed up to elaborate this new technology for 'assisted solidification' of steel to improve further the quality of the final product. The goal is to optimize the stirrer parameters and reduce internal and surface defects, increase product homogeneity and minimize energy consumption.
Design optimization of a main landing gear shock absorber hydraulic system
The present study describes the advantages obtained by the usage of the modeFRONTIER software for the design optimization of a Main Landing Gear (MLG) shock absorber hydraulic system to guarantee the compliance with the customer performance requirements.
Effective toolchain for the model based development of an EUVI exhaust aftertreatment system
BASF, as a leading global catalyst supplier, was approached by a commercial truck manufacturer to improve cost and performance of the current EUVI production exhaust after treatment system.
Design and simulation of additive manufactured structures of three component composite material
Lattice structures have become widespread in many areas. Their obvious advantage is the light weight and significant cost savings of a material. Application of unidirectional composite materials allows preserve the exceptional strength properties of composites in construction regardless of the loading direction. For this reason, the lattice composite structures are actively used in the aerospace industry. The goal of this work is the study of the property change of lattice structures of three component composite materials depending on their parameters, as well as the determination of optimal configurations of these structures.
Multiobjective sizing optimization of seismic isolated reinforced concrete structures
A well-designed base isolation system can largely reduce seismic loadings transferred to the superstructure and it not only enables to immediately reduce the superstructure building cost, but also to reduce the maintenance costs incurred after every earthquake during the building lifetime. To better understand these factors, this paper presents an efficient numerical optimization technique for comparing the responses of a base-isolated and a traditional fixed-base reinforced concrete ordinary building under the same type of solicitations and seismic spectra, as appropriate for each case.
Multi-objective Optimization of A-Class Catamaran Foils Adopting a Geometric Parameterization Based on RBF Mesh Morphing
The design of sailing boats appendages requires taking in consideration a large amount of design variables and diverse sailing conditions. The operative conditions of dagger boards depend on the equilibrium of the forces and moments acting on the system. This equilibrium has to be considered when designing modern fast foiling catamarans, where the appendages accomplish both the tasks of lifting up the boat and to make possible the upwind sailing by balancing the sail side force. In this scenario, the foil performing in all conditions has to be defined as a trade-off among contrasting needs.
Optimizing Seat Belt and Airbag Designs for Rear Seat Occupant Protection in Frontal Crashes
Recent field data have shown that the occupant protection in vehicle rear seats failed to keep pace with advances in the front seats likely due to the lack of advanced safety technologies. The objective of this study was to optimize advanced restraint systems for protecting rear seat occupants with a range of body sizes under different frontal crash pulses.
Field Analysis and Multi-objective Design Optimization of E-Core Transverse-Flux Permanent Magnet Linear Motor
Linear motor can drive linear load directly without the rotary-to-linear conversion as needed for its counterpart rotary motor, which have the advantages of high acceleration, high precision and high operating life. Transverse-flux permanent magnet linear motor (TFPMLM) enjoys the additional merits resulting from the transverse-flux structure, such as high force density, high fault-tolerant ability and electromagnetic decoupling. However, the TFPMLM always features a complicate structure and suffers from large magnetic flux leakage. nalyzing the motor efficiently and accurately is one of the key factors for motor’s optimal design.
Performance of diﬀerent optimization concepts for reactive ﬂow systems based on combined CFD and response surface methods
Optimization of reactive flow systems, e.g. coal and biomass combustion, gasification or partial oxidation, is usually a multi-parameter problem, while geometry configurations (e.g. reactor dimensions, burner dimensions) and operating conditions (e.g. fuel mass flow, reactor temperature, cooling capability) mainly determine the process efficiency and profitability.