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structural analysis

  • I Beam Crane - Design Optimization

    As part of a design optimizing course at the Ben-Gurion University, Israel, this project aims to optimize the design of a crane built to raise and displace heavy experimental cells, used to research shock waves. The optimization process was performed in modeFRONTIER software, using genetic algorithm MOGA-II with Latin hypercube sampling.

  • 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.

  • Is MDO the enabler to the Technology that is driving the Change

    A new approach in multidisciplinary optimization is developed at Jaguar Land Rover, one that drives collaboration among all team members. In an example, a vehicle bonnet is designed using new MDO methods. Genetic algorithms in modeFRONTIER are used to find an optimal solution.

  • Lightweight Multidisciplinary Optimization for Vehicle Part Design

    This presentation from the Ford Motor Company demonstrates the advantages of multidisciplinary optimization with the aim of achieving lightweight design. The integration of softwares modeFRONTIER and CATIA makes for quick and easy optimization with the optimal result of robust, lightweight designs. This study demonstrates an optimization process of a motor vehicle chassis part.

  • Multi-Disciplinary and Multi-Objective Optimization for the design of a Over-the-Wing-Nacelle aircraft and a High-Altitude Long-Endurance unmanned vehicle

    Two different aircraffts are optimized through an explicit Multi-Objective Optimization (MOO) approach using modeFRONTIER by applying the Multi Objective Genetic Algorithm (MOGA II) for evaluating the Pareto frontier. The investigation involved an Over-the-Wing-Nacelle (OWN) aicraft proposed by NASA LaRC and a High-Altitude Long-Endurance (HALE) unmanned vehicle.

  • Multi-objective optimization of the extrusion process

    A comprehensive approach for multi-objective design optimization of extrusion dies is illustrated in this work. A three-bridges porthole die, used to produce thick round tube profiles, was selected as test case. This approach using modeFRONTIER for optimization can provide an effective process for practical productions to be used at the die and process design stage, in order to maximize process performances both for die makers and extruders.

  • Identification of strainrate dependent hardening sensitivity of metallic sheets under in-plane biaxial loading

    The objective of this thesis was to propose biaxial tensile tests on a cruciform specimen to identify strain-rate dependent hardening models of sheet metals from quasi-static to intermediate strain rates. The in-plane biaxial testing procedures and parameter identification strategy have been validated on AA5086 and applied to identify rate-dependent hardening laws for DP600 steel. The optimization procedure was carried out in modeFRONTIER.

  • Use of post-consumer scrap in aluminium wrought alloy structural components for the transportation sector

    This paper discusses the aspects of possible use of postconsumer scrap in high-end products based on aluminium wrought alloys. The paper describes results from the EU FP7 Project “SuPLight”. The project addressed new industrial models for sustainable lightweight solutions, reverse logistics, Life Cycle Analysis and application of advanced optimization algorithms with modeFRONTIER and simulations for product and alloy design.

  • Multi-Level Decoupled Optimization of Wind Turbine Structures

    This study proposes a multi-level decoupled method for the design optimization of wind turbine blades. The method reduces the design space by employing a two-level optimization process: the high-level is for the entire blade, while the low-level is for sections of the blade. It is shown that the multi-level method using modeFRONTIER converges faster at the beginning of the optimization, generates more smooth design alternatives, and finds better optimum designs than its single-level counterpart.

  • Identification of friction coefficients and strain-compensated Arrhenius-type constitutive model by a two-stage inverse analysis technique

    A two-stage inverse analysis technique is proposed to identify the friction coefficients during hot compression test of aluminum alloy AA6N01 and its material parameters in the strain-compensated Arrhenius-type constitutive model. By means of modeFRONTIER, FEM simulation and error calculation are integrated in this study. 


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