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State of the Art in Solid State Lighting Thermal Design

Unlike incandescent lighting that relies on heat to cause a filament to glow and produce light as hot black body, light emitting diodes (LEDs) are semiconductors and as such must be kept cool. When LEDs produce light, heat is a by-product. Heat generated in an LED increases its temperature. As the LED’s temperature increases, the light output decreases, the light changes color, and the lifetime of the LED reduces. Temperature adversely affects both the functional performance of the LED and its longevity. As a consequence, thermal management has become the most predominant issue in solid state lighting (SSL) design.

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State of the Art in LED Thermal Characterization

Using the JEDEC standard static test method for transient thermal measurements in accordance with JESD51-14 and CIE 127-2007 has increased the level of accuracy in light-emitting diodes (LEDs) thermal characterization. These higher standards have resulted in increased customer confidence and market share. In compliance with these standards, the Mentor Graphics T3Ster system can complete more than 100 LED thermal measurements in a single day, and it is the most accurate. The T3Ster post-processing software fully supports the latest thermal testing standard (JEDEC JESD51-14) for junction-to-case thermal resistance measurement. This paper discusses the importance of more accurate thermal characterization to the rapidly evolving marketplace and how the T3Ster and TERALED systems are meeting this challenge for lighting manufacturers and their customers.

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Optical Characterization of Power LED

Besides their electrical properties the optical parameters of LEDs also depend on junction temperature. For this reason thermal characterization and thermal management play important role in case of power LEDs, necessitating both physical measurements and simulation tools. The focus of this paper is a combined electrical, thermal and optical characterization of power LED assemblies. In terms of simulation a method for board-level electrothermal simulation is presented, for measurements a combined thermal and radiometric characterization system of power LEDs and LED assemblies is discussed.

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Optimizing Gas Mixing Processes with CAD-Embedded Engineering Fluid Dynamics Simulation

 Best practices for CFD analysis in gas mixing with new CAD-embedded tools.

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Understanding electronic IP: common issues and how to find them

Using IP blocks in designs requiring DO-254 compliance is becoming more popular as a way to reduce costs and schedules. However, the use of IP comes with its own problems and pitfalls. A good methodology to better screen this IP before its usage can significantly reduce unexpected problems and lower risk, especially on safety critical designs. The most important soft IP screening technologies are automatic formal check and clock domain crossing analysis. This paper will provide a background explanation of IP, including: what types exist in the market; caveats to their usage; and suggestions to better analyze IP before it is used in a design, thus lowering risk and improving product safety. (Note: This paper does not address IP compliance issues. For more information on that topic, please refer to the DO-254 User Group paper "Use of Intellectual Property (IP) Cores in Airborne Electronic Hardware".

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The ROI of Concurrent Design with CFD

Posted in: Concurrent CFD

Research from Aberdeen's Q1 2011 business review has found that the top strategy for manufacturers, reported by 46%, is to improve business execution. What does this mean for new product development? A look at Aberdeen's October 2010 "NPD - the 2011 Growth Imperative: Optimizing Speed and Cost in New Product Development" report reveals the top challenges that must be addressed to accomplish this.

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What They Didn’t Teach You in Engineering School About 3D Pressure Drop Analysis

Posted in: Concurrent CFD

Computational Fluid Dynamics (CFD) analysis is no longer a discipline reserved only for highly trained practitioners. A new class of CFD analysis software known as “Concurrent CFD” is proving to be greatly effective at performing pressure drop analysis, enabling mechanical engineers to accelerate key decisions at their workstations, without the need for CFD specialists. Embedded into the MCAD environment, this intuitive process allows designers to optimize a product during the design stages, reducing manufacturing costs across a wide range of mechanical designs and systems.

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Beer Fridge: A Personal Journey

Posted in: Electronics Cooling

Mini-fridges, commonly filled with beer and the occasional moldering sandwich, have become a ubiquitous fixture in college dorm rooms and office break areas. But for some reason they never seem to cool their contents as well as their full-size cousins in the kitchen. This paper, based on a series of blog entries, presents a light-hearted look at the problem and offers a solution. In doing so, it demonstrates some practical thermal analysis methods using Mentor Graphics FloTHERM and proves that thermal simulation can help engineers design better products for consumers.

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Enhanced Turbulence Modeling in FloEFD

Posted in: Concurrent CFD

FloEFD is a unique CAD-embedded general purpose concurrent CFD software package largely automated to minimize the specialist expertise required to operate traditional CFD software. CAD-embedded CFD must simulate complex industrial turbulent flows with heat and mass transfer without simplifying the highly complex geometries. FloEFD is a mature code with over 10 years of commercial presence and a thousand man-years of development effort behind it. It's turbulence capabilities have been validated against some classic industrial CFD cases. It utilizes a modified k-ε two-equation turbulence model designed to simulate accurately a wide range of turbulence scenarios in association with its pioneering immersed boundary Cartesian meshing techniques that allow accurate flow field resolution with low cell mesh densities.

The classical two-equation k-ε empirical model for simulating turbulence effects in fluid flow CFD simulation is widely used and considered reliable for most industrial CFD simulations and it requires the minimum amount of additional information to calculate the flow field. In FloEFD the k-ε model is used with a range of additional empirical enhancements added to cover a wide range of industrial turbulent flow scenarios (such as shear flows, rotational flows etc.). For instance, damping functions proposed by Lam and Bremhorst for better boundary layer profile fit when resolving boundary layers with computational meshes have been added. This is coupled to a unique Two-Scale Wall Function (2SWF) treatment. This two-scale approach allows FloEFD to overcome the traditional CFD code restriction of having to employ a very fine mesh density near the walls in the calculation domain.

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