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  • Multidisciplinary Design Optimization of Vehicle Weight Reduction

    In this study from ESTECO North America, a six-step MDO process is illustrated by solving a 2001 Taurus weight reduction problem with two formulations AAO and CO. The chosen optimization platform is modeFRONTIER plus SOMO. Conclusions show the advantages to using AAO methodology in MDO.

    proceeding 2016
  • 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.

    proceeding 2016
  • 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.

    proceeding 2016
  • Optimization of a Turbo Charger Compressor at BorgWarner using AxCent and modeFRONTIER

    This work presents a numerically optimized design approach to turbo charger radial compressor development for commercial diesel applications. The design optimization includes both aerodynamic and structural components, combined via a “loosely coupled” iterative procedure. The primary goal of the design is to maximize total to static efficiency at various operating conditions, while also preserving or expanding the overall operating range of the compressor, and doing so with a structurally sound geometry.

    proceeding 2015
  • A New Collaborative MDO Strategy for improving Vehicle Design at Ford

    Ford Motor Company achieves streamlined, multi-user design process management by expanding its Multidisciplinary Design Optimization approach at enterprise level

    white paper & focus 2015
  • Optimized Valvetrain System Boosts Two-wheeler Performance at Piaggio

    The Piaggio Group is the largest European manufacturer of two-wheel motor vehicles and one of the world leaders in its sector. The company’s R&D activities focus mainly on reducing the environmental impact of its products and improving vehicle efficiency, performance and passenger safety. For many years now, Innovation & Research engineers have been using modeFRONTIER to achieve these design objectives. 

    success story 2015
  • Handling the Complexity of Mechatronic System Design

    Two design projects highlight how ABB Group leverages optimization-based development to handle the complexity that automation and control systems entail and to maximize mechatronic product performance, meet reliability demands and ease overall environmental impact.

    white paper & focus 2015
  • modeFRONTIER helps Cummins Improve Engine Performance

    Cummins Engine, a leader in the manufacturing of diesel and natural gas-powered engines for a wide range of transportation and equipment purposes, has created a new power module ready to take on the stringent US - EPA regulations. It is significantly more compact and cost-effective than medium-speed engines at the same horsepower. It took 150 engineers to design it, and modeFRONTIER helped the High Horsepower group find the optimal valve timing, hence reducing fuel consumption.

    success story 2014
  • Challenges In Industrial Automation and how Multidisciplinary Design Optimization can help

    ESTECO technology keeps pace with evolving R&D needs and provides designers with a flexible environment that handles each delicate step of complex system analysis and enhancement. As seen in the example of the robot, inserting virtual control models in the simulation framework enables designers to apply the optimization approach, calibrate the software and to identify zero-cost solutions.

    proceeding 2014

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