Process Integration and Optimization of ICME Carbon Fiber Composites for vehicle lightweighting: a preliminary development
Different from the Sheet Molding Compounds (SMC) structure, the unidirectional (UD) structure (laminate) has multiple layers, and each layer has anisotropic properties. The layout of each component in the vehicle structure needs to be optimized in order to achieve the optimum structure performance such as stiffness, durability, NVH, and safety. he multi-layer UD structure optimization is implemented on the platform of modeFRONTIER.
Optimization on Fuel Injection Parameter of Heavy-Duty Diesel Engine Based on Multi-Objective Genetic Algorithms
By using the GT-power software to establish the computing model of diesel engines and employing the modeFRONTIER multiobjective genetic algorithm (MOGA), this study carried out optimal research on performance indicators of diesel engines such as BSFC, NOX, soot, HC and CO, achieved the optimal solution to combination of injection parameters, and analyzed the relationship between optimal objective and fitness.
Lucid Motors boosts electric vehicle performance with modeFRONTIER
Lucid Air prototypes are undergoing a rigorous development program. modeFRONTIER has been used - together with other applications - to optimize the design of an inverter with the aim of enhancing efficiency and minimize failure rates.
ESTECO webinar recording | Exploiting Design of Experiments (DOE) techniques for multibody and structural vehicle analysis with modeFRONTIER, Adams and MSC Nastran
On August 29th, 2017 ESTECO hosted expert engineers from MSC Software who demonstrated the advantages of the integration of their software in modeFRONTIER workflow to identify better solutions using Design of Experiment for multibody and structural vehicle analysis.
Energy Consumption Minimization in Railway System
The optimization of train movements could make the railway system even less impacting on the environment by reducing energy consumption and CO2 emissions. Only in a limited number of cases train drivers are assisted by the so called Driver Advisory System which suggests energy-eﬃcient speed proﬁles. The present study aims at minimizing energy consumption in both the planning phase, where train timetables are defined, and operational phase in which traﬃc may be perturbed by unexpected events.
Vehicle steering pull - from product development to manufacturing
The objective of this paper is to propose a novel method to evaluate the impact of dimensional variations on vehicle steering pull. The proposed method combines Monte Carlo simulation to validate the dimensional tolerances, a multibody software to simulate initial data and modeFRONTIER to create a polynomial response surface and simulate the Vehicle Residual Aligning Torque (VRAT) distribution curve, final directional vehicle trend, and factors influence on VRAT.
ENGINEERING THE ELECTRIC VEHICLE REVOLUTION EXTRAPOLATION IS NOT PREDICTION
In this study, LUCID motors, California-based electric-vehicle company and battery-pack supplier, developed a design strategy to built an inverter and employed modeFRONTIER to perform channel and manifold optimization in order to minimize pressure and temperature ratio.
Parameterization and Multi-objective Optimization
This thesis aims to optimize a control arm of a car with multiobjective optimization methods based on NX and modeFRONTIER. The study attempts to identify the best algorithms for the design considering given requirements. The overall goal is to reduce weight while maintaining the same stiffness.This research is done as a contribution to the SupLight EC research project.
Advanced Predictive Diesel Combustion Simulation Using Turbulence Model and Stochastic Reactor Model
This work studies the modeling of turbulence time-scales in diesel engines within a 0D model framework. The goal is to see its effect on combustion and emission formation taking into consideration different operating conditions. The combustion is described using the pdf based DI-SRM. Optimization was run using modeFRONTIER.
MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE OCCUPANT RESTRAINT SYSTEM BY USING EVOLUTIONARY ALGORITHM WITH RESPONSE SURFACE MODEL
This research reports a vehicle occupant restraint system design by using evolutionary multi-objective optimization with response surface model. The vehicle occupant restraint systems are composed of restraint equipment, such as an airbag, a seat belt, and a knee bolster. The optimization aims to improve the safety of the system by evaluating some indexes based on safety regulations.