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Thermal Simulation of LED-Powered Luminaire with Coupled Electrical Circuit Analysis
LED manufacturers sort LEDs into 'bins' based on the forward voltage to give their customers the most consistent light color possible. Manufacturing tolerances can cause a range of colors even in the same batch of LEDs, so this binning process gives their customers higher consistency in the color produced. Despite the tight grouping of forward voltages in these bins, inherent LED characteristics can still result in non-homogeneous current draw, luminous flux, heat dissipation and junction temperature. This highly interconnected process was investigated using STAR-CCM+ and SPICE to simulate...
Solar Air Heater Wizard: Automating CFD
Enerconcept Technologies designs, manufactures and installs solar air heating systems. Their wall-mounted solar air heater system is modular and its configuration is customized for each building. Enerconcept had a need to quickly calculate the expected efficiency of each particular configuration and optimize design parameters like inlet/outlet position, wall thickness, etc. Lx R&D proposed to program a wizard that Enerconcept designers could use to easily run CFD analysis with STAR-CCM+ on a particular wall configuration. Relevant information like wall size and sun orientation is entered...
Using STAR-CCM+ for Wind Dispersion Studies
Various regulatory agencies such as the US EPA, OSHA, state and local code enforceme0nt agencies often require environmental impact studies when certain commercial buildings are renovated or newly constructed. Usually, these buildings are laboratories, special environments for chemical or biological agents or manufacturing plants that must discharge chemical effluents into the atmosphere. Other conditions also mandate studies of environmental influence such as large boiler exhaust, emergency power generation, or the effects of diesel trucks idling at critical areas around buildings. The CAES...
Automation of Java File Creation & Batch Mode Submission for STAR-CCM+ Simulation Models to be used in a Design of Experiments & Multi-Objective Optimization
Exploring the design space of a simulation requires the preparation of multiple STAR-CCM+ simulation files. Setting various run dependent conditions such as inlet velocity and rotating body angular velocity can be done using STAR-CCM+'s batch mode and an internally defined java macro file. When the run dependent conditions need to altered to conform to a statistically defined design of experiments or as part of a multi objective optimization the amount of simulation preprocessing that needs to occur becomes unmanageable for the CFD analyst. This presentation investigates the process of using...
Multi-Objective Optimization of a Boomerang Shape using modeFRONTIER and STAR-CCM+
Although these days it is considered a 'toy', a boomerang is a sophisticated device which poses a challenging design problem as it is subjected to six degrees of freedom and unsteady aerodynamic effects which, due to the rotation, vary from section to section along its length during flight. In addition, variations in the launch (due to the launching person’s strength, technique etc.) add significantly to the complexity of the design problem. This presentation shows how the process integration and design optimization software modeFRONTIER was coupled to STAR-CCM+ to optimize the shape of a...
Automating the CAE Process with STAR-CCM+ & Optimate
Optimate and Optimate+ are add-on modules for STAR-CCM+ that directly employ state-of-the-art process automation and design optimization technology from Red Cedar Technology. The Optimate solution, which includes CD-adapco’s Power Token software licensing, eliminates the barriers that have historically prevented CFD-based design optimization with any real practicality. This talk will include a demonstration showing how this process couples to existing STAR-CCM+ simulations for both design iteration (Optimate) and optimization (Optimate+) analyses.
Optimizing Jets for Active Wake Control of Ground Vehicles
A Detached Eddy Simulation (DES) turbulence model is used to conduct wake refinement of a 25 deg Ahmed reference body. This model was chosen for its highly three-dimensional flow characteristics and its ability to properly simulate a standard automotive wake. Slot jets were designed at the rear of the Ahmed body and several optimization simulations were conducted using Optimate+. The initial optimization simulations were conducted to determine the sensitive variables. These variables were jet velocity and exit angle. After these variables were determined, another optimization simulation was...
The Design & Analysis of a low NPSH Centrifugal Pump Featuring a Radial Inlet & an Axial Inducer using STAR-CCM+
The design of low Net Positive Suction Head (NPSH) pumps requires special attention. The subject pump stage is part of a two stage pump. The pump is required to possess a very large range of operation at very low inlet pressures. The pump also has a very large shaft that restricts the inlet bladed flowpath area, thus raising inlet flow velocities and decreasing local static pressures. Compounding difficulties, this pump requires a radial inlet that will quickly transition the flow from radial to axial. Radial inlets have a unique problem of creating a circumferentially uniform flow at the...
This presentation discusses a theoretical one-dimensional model and Computational Fluid Dynamics (CFD) simulations of a tailcone-installed APU cooling system using STAR-CCM+. The work is motivated by the need to deliver sufficient cooling airflow to critical components within an aircraft tailcone compartment. The cooling system considered herein utilizes an eductor system at the APU exhaust and a ram air scoop near an upstream inlet to the compartment to induce the necessary cooling flow during ground and in-flight APU operation. A one-dimensional flow network model provides a framework for...
Quick and accurate predictions for heat transfer in internal cooling channel geometries can increase throughput when designing new geometries or down selecting first test cases. Typically, the ability to predict within 20% of experiments has been deemed acceptable but often requires very fine meshes and longer run times, especially for more complicated geometries. A case study of a classic open literature experimental study is used within to describe the sequence of steps and lessons learned in order to achieve quick and accurate predictions of local Nusselt number. Impact of boundary...

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