Application Briefs

In this application brief, an approach is presented to optimize a vehicle door using HEEDS Professional. The goal of the study was to minimize the door mass through gauge optimization, while meeting the constraints on stress and deflection. Six static load cases were considered for each design iteration. HEEDS found a design that reduced the mass of the considered components by 18.6% over the baseline design, while meeting all of the performance requirements.
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Automotive, Nastran

HEEDS MDO was successfully used to automate and optimize an ANSYS CFX CFD model. The optimization was performed by creating a series of session files that would automatically manipulate design geometry, CFD model characteristics, and CFD model results generated in a number of different tools. The optimization was limited to modifying only the blade design on the pump side of the torque converter, but still produced almost 20% improvement in pump torque. 
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ANSYS, Automotive

This paper demonstrates how design optimization can be used in designing an armored plate for the undercarriage of a light armored vehicle. A validated loading model for simulating blast mine effects was utilized in this study. LS-DYNA was used to simulate the dynamic blast response, and HEEDS Professional was used to perform the automated optimization. 
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Defense, LS-DYNA

A new strategy was presented for using HEEDS MDO to optimize composite aircraft structural components. This approach yielded designs that were lighter and higher performing than those found with a manual design process. The systematic approach to the setup and solution ensured that the final design was efficient and conformed to the manufacturability constraints. The result was a lighter aircraft design, with mass savings of 3% in the tail, 12% in the wing and 9% in the fuselage. 
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Aerospace, Nastran

HEEDS Professional was used with the Aspen Plus 2006 simulation tool to minimize the cost of producing Dicloromethane (DCM), a common chemical byproduct that can be used as a solvent and in the production processes of certain food products (such as decaffeinating coffee).
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While most applications of HEEDS Professional focus on design of physical parts and products, it can also be applied to many other forms of optimization. This paper discusses the success of HEEDS in the area of traffic control for urban evacuation, using agent-based modeling (ABM).
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Agent-Based Modeling (ABM) is an effective strategy for simulating the emergent properties of complex systems. This form of simulation models the behaviors of individual agents interacting with each other and with their world and can be used to predict the outcome of discrete events, such as the behavior of a warehouse. Many frameworks exist for creating ABMs—one such program, used here, is called AnyLogic. While ABM works well for modeling individual behaviors to determine the resulting emergent group properties, it is difficult to find optimal warehouse layouts, configurations, and personnel allocation that allow the warehouse to function as efficiently as possible. Parameters must be tuned and tested to find optimal settings. Unfortunately, the simulation time required to test all possible parameter combinations is prohibitive, making this approach impractical. In this case, it is advantageous to use a highly efficient optimization tool such as HEEDS MDO. While most applications of HEEDS focus on design of physical parts and products, HEEDS can also be applied to many other forms of optimization. This paper discusses the success of HEEDS in the area of optimizing warehouse efficiency, using the agent-based modeling tool AnyLogic.
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A Design of Experiments (DOE) study was performed to estimate the contribution of various energy-absorbing mechanisms to the total energy absorbed during quasi‐static crush of circular composite tubes. Failure mechanisms such as material failure, delamination, friction between plies and friction between a metallic initiator and the tube were explicitly represented in an axisymmetric finite element model. The results of this study not only provide a better understanding of tube crush behavior, but also guide the development of better models for design of composite crush tubes. 
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Abaqus, Materials