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.
Sensitivity analysis of urban morphology factors regarding solar energy potential of buildings in a Brazilian tropical context
Planning the urban morphology of the built environment is a key issue in shifting to a climate adapted urban environment. This paper addresses an important threefold energy challenge of tropical cities: the major potential of harnessing solar energy as renewable resource for local electricity production and the energy-saving paradox of reducing the undesirable solar heat gains in buildings while providing satisfactory levels of daylight. It aims at measuring the effect size of urban form factors regarding these energy goals.
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.
Synthesis, cytotoxicity and antiviral evaluation of new series
The entire molecular dynamics (MD) simulation and data analysis procedure was optimized by Amber 14 in modeFRONTIER that allowed to define a molecular rationale for the anti-BVDV activity.
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.
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.
Flexibility analysis and determination of elastic deformations for robot manipulator
This paper presents the flexibility and kineto-elasto dynamic analysis of a robot manipulator. The aim is to produce a trajectory that will improve the motion time and the trajectory tracking of a standard industrial machine whether it is applied to the machine through a simplified controller or a more complex controller. MATLAB and modeFRONTIER are coupled in this methodology.
Optimization study of occupant restraint system concerning variations in occupant size and crash severity
The objective of this study is to build a framework for occupant restraint system optimization and to study the interaction between occupant and restraint system. A front seat passenger side restraint system model was built and parameterized, including the seat position. A genetic algorithm was used to explore potential optimal configurations for 5 dummies and 2 crash severities.