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multi-strategy optimization

  • Collaborative Multidisciplinary Design Optimization for Conceptual Design of Complex Products

    This thesis explores the prospect of applying MDO in the conceptual design (CD) phase. MDO will serve as an enabler to apply higher fidelity models (HFMs) earlier and thus raise the level of concept information. The thesis provides guidelines to overcome technical and organizational barriers to implementing MDO and HFMs in practical engineering settings. A guideline for CMDO implementation is proposed for design engineers with limited prior knowledge in MDO.

    paper
  • Energy and daylighting optimization for an office with fixed and movable shading devices

    In this paper, external fixed shading device geometry is optimized in order to reduce the overall energy consumption in an office room provided with an extensive glazing and moveable Venetian blinds.  The optimizer modeFRONTIER drives the optimization using DAYSIM for internal illuminance and lighting electrical loads computation and ESP-r for building energy simulation. Here both the FAST and NSGA II genetic algorithms have been applied using the simplified approach of DAYSIM.

    paper
  • Experimental Characterization of External Gear Machines with Profile Asymmetric Teeth

    This paper describes the benefits of introducing gears with asymmetric teeth in EGMs, or external gear machines. The optimal profile of the gear is tested using a numerical optimization procedure run in modeFRONTIER and HYGESim with the following objective functions: delivery flow pulsations, internal pressure overshoots, localized cavitation effects and volumetric efficiency.

    paper
  • Optimization of Suspension Design for Commuter Motorbikes

    Suspension design variables plays a key role when adapting a motorbike to different road a traffic condition. Steering torque and ratio rate should be considered for different type of maneuvre, along with acceleration at rider center of gravity when coming to comfort parameters.

    proceeding
  • Multiobjective Aerospace mission performance optimization with Systems Tool Kit (STK) and modeFRONTIER

    Learn how to exploit the state-of-the-art software technologies provided by ESTECO (modeFRONTIER) and AGI (STK) in an integrated approach that allows the capability to perform multiobjective studies and trade-off analysis between mission performance and cost.

    webinar
  • Structural optimization of a Transversal Rolling Mill Component to Improve Flexional Stiffness

    This is a preliminary study to understand if an increased stiffness of a structural component of the transversal mill (the bar component) can bring some effects in the product by stabilizing the process. This work analyzes the bar sustaining the plug, a component of the expander mill. The team must solve to increase the stiffness of the bar trying to keep the mill set up stable.

    paper
  • A Case Analysis of a Sustainable Food Supply Chain Distribution System–A Multi-Objective Approach

    Food industry players are faced with environmentally conscience consumers and pressure to become sustainable in their supply chain. Distribution needs to meet the environmental standards by reducing CO2 during transportation while still being economically competitive and cost effective. The sustainable distribution process presented enables the supply chain decision maker to reduce the total carbon emission from the transportation involved in the entire distribution process while simultaneously optimizing total costs.

    paper
  • 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
  • Non-linear model predictive control of a power-split hybrid electric vehicle influence of conclusion of powertrain dynamics

    The aim of this project is to analyze the performance of the MPC-based power management strategies on a power-split HEV. An optimization-based methodology for the 2-state MPC calibration was performed. The closed-loop simulation results show that fuel economy can be improved with respect to the 1-state MPC with a heuristic engine stop/start strategy.

    paper

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