Development of Compact Thermal–Fluid Models at the Electronic Equipment Level

Author(s):  
Jason Stafford ◽  
Ronan Grimes ◽  
David Newport

The introduction of compact thermal models (CTM) into computational fluid dynamics (CFD) codes has significantly reduced computational requirements when representing complex, multilayered, and orthotropic heat generating electronic components in the design of electronic equipment. This study develops a novel procedure for generating compact thermal–fluid models (CTFM) of electronic equipment that are independent over a boundary condition set. This boundary condition set is estimated based on the information received at the preliminary design stages of a product. In this procedure, CFD has been used to generate a detailed model of the electronic equipment. Compact models have been constructed using a network approach, where thermal and pressure-flow characteristics of the system are represented by simplified thermal and fluid paths. Data from CFD solutions are reduced for the compact model and coupled with an optimization of an objective function to minimize discrepancies between detailed and compact solutions. In turn, an accurate prediction tool is created that is a fraction of the computational demand of detailed simulations. A method to successively integrate multiple scales of electronics into an accurate compact model that can predict junction temperatures within 10% of a detailed solution has been demonstrated. It was determined that CTFM nodal temperatures could predict the corresponding area averaged temperatures from the detailed CFD model with acceptable accuracy over the intended boundary condition range. The approach presented has the potential to reduce CFD requirements for multiscale electronic systems and also has the ability to integrate experimental data in the latter product design stages.

Author(s):  
Jason Stafford ◽  
Ronan Grimes ◽  
David Newport

The introduction of compact thermal models (CTM) into CFD codes has significantly reduced computational requirements when representing complex, multi-layered, and orthotropic heat generating electronic components in the design of electronic equipment. This study develops a novel procedure for generating compact thermal-fluid models (CTFM) of electronic equipment that are independent over a boundary condition set. This boundary condition set is estimated based on the information received at the preliminary design stages of a product. In this procedure, CFD has been used to generate a detailed model of the electronic equipment, and a commercially available thermal network analyzer has been implemented to produce the CTFM and optimize an objective function to minimize discrepancies between detailed and compact solutions. It was determined that CTFM nodal temperatures could predict the corresponding area averaged temperatures from the detailed CFD model to within 6% (Celsius scale) over the intended boundary condition range. Results also highlight the necessity to subdivide the compact thermal model into the largest possible isothermal nodal elements to retain the useful features of the CTFM. The approach presented has the potential to reduce CFD requirements for multi-scale electronic systems, such as in the design of aircraft avionics bays, and also has the ability to integrate experimental data in the latter product design stages.


2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Jason Stafford ◽  
David Newport ◽  
Ronan Grimes

This paper presents an approach for reducing detailed numerical models of electronic equipment into compact thermal-fluid models. These compact models have been created using network analogies representing mass, momentum and energy transport to reduce computational demand, preserve manufacturer intellectual property, and enable software independent exchange of information between supplier and integrator. A strategic approach is demonstrated for a steady state case from reduction to model integration within a global environment. The compact model is robust to boundary condition variation by developing a boundary condition response matrix for the network layout. A practical example of electronic equipment cooled naturally in air is presented. Solution times were reduced from ∼100 to ∼10−3 CPU hours when using the compact model. Nodal information was predicted with O(10%) accuracy compared to detailed solutions. For parametric design studies, the reduced model can provide 1800 solutions in the same time required to run a single detailed numerical simulation. The information generated by the reduction process also enhances collaborative design by providing the equipment integrator with ordered initial conditions for the equipment in the optimization of the global design. Sensitivity of the compact model to spatial variations on the boundary node faces has also been assessed. Overall, the compact modeling approach developed extends the use of compact models beyond preliminary design and into detailed phases of the product design lifecycle.


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