nastran

MSC NASTRAN | Integration Node

MSC Nastran is directly integrated in modeFRONTIER through the Nastran node. The platform assists designers as an automation environment and a multiobjective optimization engine for MSC Nastran multidisciplinary structural analysis. Model parameters are directly extracted thanks to a simple guided process and used as inputs in the workflow of modeFRONTIER.

Engineering success in the America's Cup

This presentation demonstrates new optimization solutions for Land Rover Bar yacht racing team and America's Cup races. The optimization examples use NX tools and software modeFRONTIER to find the optimal solution for improved efficiency in design.

Influence of Body Stiffness on Vehicle Dynamics Characteristics in Passenger Cars

This study aims to analyze how vehicle dynamics are affected by local and global car body stiffness. The influence of these parameters in vehicle handling, steering and ride attributes are examined through CAE analysis tools and compared to results from physical tests. The software used for the graphical visualization and correlation of large data sets of results from the performed DOE is modeFRONTIER.

Webinar | Modeling of Rolling Tires for the Simulation of Dynamic Forces simplified with modeFRONTIER and Nastran at FCA/CRF

​ESTECO and MSC Software will host a joint webinar presenting the successful integration of their technologies to optimize the modeling of rolling tires for the simulation of dynamic forces at FCA/CRF.​​

A modeFRONTIER case study about the optimization of the windshield structure

DEMA SpA must assess the capabilities of a methodology for the smart analysis of the windshield structural behavior by using a FE (Finite Element) model integrated with modeFRONTIER for a new Canadian business jet. The methodology would be able to automatically change the thickness of the Global Finite Element Mode (GFEM) shell elements, run the new numerical analysis and finally obtain a configuration with a minimum mass target, but at the same time able to stay within a well-established threshold stress. 

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.

Parameterization and Multiobjective Optimization

The main goal of this paper is to show the way in which single and multi-objective optimization can be implemented to improve new products. The author found an optimal strategy for model parameterization of a control arm complying with four criteria and parameterized it  performing automatic and manual optimization to verify the criteria to comply with were met. The overall goal is to reduce weight by 10% the control arm while maintaining the stiffness

Blade fir tree design by genetic algorithm method

This work design an automatic process governed by modeFrontier to optimize the fir tree shape using  an adimensional parametrical model in MSC/Patran. The process run automatically different engine like Matlab for preliminary calculation, Patran and Nastran for detailed calculation. The process produce optimized solutions in compliance with all the design criteria.
 

Analysis of buckling and structural optimization of low-pressure turbine casing for a civil airplane engine

The principal aim of this work is the optimization of the casing geometry in order to reduce the structural weight, increasing the resistance to the buckling collapse. We will use the FEM model choosing opportunely some geometric parameters, to define the design--space of possible geometric cross-section shapes. We operate the optimization under the worst load case chosen between the estimated work conditions.

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