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          FLOTHERM Advanced Training Course7-12

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          AdvancedTraining_12_Compact_Component_Modelling.pdf

          Compact Component Modelling

          Introduction
          - Compact Model Topologies
          - Deriving Compact Models
          – The Computational Cold Plate Test
          – The DELPHI Approach
          - Compact Models in FLOPACK

          The Traditional Approach
          θja and θjc
          - The θja and θjc approaches lump all heat paths together as one - use with caution.
          - θja and θjc are environmentally dependent.
          - Inaccuracies in predicting junction temperatures can be as high as 100%!

          Compact Models
          - A Compact Model seeks to capture the thermal behavior of the package accurately at pre-determined (critical) points
          – junction
          – case
          – etc.
          - .... by using a reduced set of parameters to represent the package
          – These parameters need not be geometric
          - The most popular approaches use some sort of thermal resistance network representation

          Topologies
          - Two-resistance network
          – Simplest topology
          – Easy to extract
          – Easy to implement in most tools
          – Relatively inaccurate (~ 30%) for absolute results
          – Often sufficiently accurate for trends/parametric studies

          Deriving Compact Models
          - Several methods proposed
          - We shall consider two
          – The “Computational Cold Plate Test”
          – The DELPHI Approach
          - Computational Cold Plate Test
          – Rjc = (Tj - Te)/P
          – Rjb = (Tj - Te)/P
          Tj = Junction Temperature
          Te = Temperature of Isothermal Surface
          P = Package Power
          - How accurate is this method?
          – Because of the “unrealistic” nature of the heat flux path lines in the two simulations, the resistances derived will tend to under predict the junction temperature
          – This could be as much as 50%!
          - Recommendation
          – Use Computational Cold Plate Test only to get ball park estimates of junction temperature
          – Useful for predicting trends (parametrics)
          – For greater accuracy, use detailed models or more complex compact models (where available) m.aji87.cn

          The DELPHI Approach
          - What was DELPHI?
          - Project that proposed new methodologies for creating and validating component computational models
          - Ultimate Goal
          – To enable component manufacturers to supply validated compact thermal models of their parts to end-users
          - Results were
          – Detailed model understanding of some package types
          – 2 experimental systems
          – Double Cold Plate and
          – Submerged Double Jet Impingement
          – Complex compact model networks for some package types
          – A methodology to tie these together

          Implementing Nodes & Resistances in FLOTHERM

          Implementing the 2 Resistor Model
          - All power is dissipated in Junction block
          - Moderate accuracy (20 - 30%) for most components but will predict trends correctly; easy to tweak.....

          Arbitrary Resistance Networks
          - Most components need more complex networks, especially when heat spreading within the component is significant (PBGA, PQFP …)
          - Often involve “Shunt” resistors

          Compact Models in FLOPACK
          - 2-Resistor Compact Models
          – Available through the FLOPACK web site for all package types
          – Rjt and Rjb data can be measured by manufacturers
          - Star Compact Models
          – Available through the FLOPACK web site for leaded packages
          – Easy to set up
          – Accuracy often same as 2-resistor models
          - Complex Compact Models
          – Maximum accuracy; some in use
          – Available through the FLOPACK web site for leaded packages
          - Compact Model SmartPart in Version 3.1 of FLOTHERM
          – Embedded resistor network solver

          ===============================

          AdvancedTraining_1_Introduction.pdf
          AdvancedTraining_2_Governing_Equations.pdf
          AdvancedTraining_3_Turbulence_Modelling.pdf
          AdvancedTraining_4_Boundary_Layers_and_Heat.pdf
          AdvancedTraining_5_Validation_Cases.pdf
          AdvancedTraining_6_Numerical_Solution.pdf

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