1 / 12

CHAPTER 5 MESB 374 System Modeling and Analysis Thermal Systems

CHAPTER 5 MESB 374 System Modeling and Analysis Thermal Systems. Thermal Systems. Basic Modeling Elements Resistance Conduction Convection Radiation Capacitance Interconnection Relationships Energy Balance - 1st Law of Thermodynamics Derive Input/Output Models. Variables. power.

woverby
Download Presentation

CHAPTER 5 MESB 374 System Modeling and Analysis Thermal Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CHAPTER 5MESB 374 System Modeling and AnalysisThermal Systems

  2. Thermal Systems • Basic Modeling Elements • Resistance • Conduction • Convection • Radiation • Capacitance • Interconnection Relationships • Energy Balance - 1st Law of Thermodynamics • Derive Input/Output Models

  3. Variables power current, • q : heat flow rate [J/sec = W] ( ) • T: temperature [oK] or [oC] ( ) voltage Temperature in a body usually depends on spatial as well as temporal coordinates. As a result, the dynamics of a thermal system has to be described by partial differential equations. Moreover, nonlinearities are often essential in describing the heat transfer by radiation and convection. However, very few nonlinear PDEs have analytical (closed form) solutions. Usually, finite element methods (FEM) are used to numerically solve nonlinear PDE problems. Our purpose is to try to use lumped model approximations of thermal systems to obtain linear ODEs that are capable of describing the dynamic response of thermal systems to a good first approximation.

  4. + DT - T1 T2 R T1 T2 T2 q T1 R1 R2 q Req q T1 R1 T0 R2 T2 q q Basic Modeling Elements Ex: Two bodies at temperatures T1 and T2 are separated by two elements with different thermal resistance R1 and R2. Heat flows through the two elements at a rate of q. Find the equivalent thermal resistance Req and solve for the interface temperature between the two elements. • Thermal Resistance Describes the heat transfer process through an element with the characteristic that the heat flow rate across the element is proportional to the temperature difference across the element, i.e. T1 T2 q R

  5. Conduction Heat transfer through solid or continuous media via random molecular motion (diffusion). a : thermal conductivity [W/m-oK] Ex: Calculate the equivalent thermal resistance of a wall with a window. Wall Window Area AW AG Thickness dW dG a aW aG RW RW q T1 T2 RG d Cross sectional area A T T1 T2 x Three Types of Heat Transfer Resistors connected in Parallel

  6. Convection Heat transfer between the interface of a solid material and a fluid material via bulk motion of the fluid. A : surface area [m2] h : convective heat transfer coefficient [W/m2-oK] TS : surface temperature [oK] TF : fluid temperature [oK] T2 T1 q Surface Area A Three Types of Heat Transfer • Radiation Heat transfer via electromagnetic waves • A : surface area [m2] • s: Stefan-Boltzmann constant [W/m2-oK4] • FE : effective emissivity • FV : view factor Nonlinear! Will not be considered in this course • h depends on surface geometry, fluid flow rate, temperature, flow direction, ... Q: How would we model the process of storing thermal energy ?

  7. Thermal Capacitance The ability of a substance to hold or store heat is the heat capacity of the material and it behaves like a thermal capacitance. Since the specific heat cPcan be interpreted as the heat storage capacity of the material per unit mass, the total heat storage capability of a material is: TC qOUT qIN C Mass, M Volume, V Density, r Basic Modeling Elements If there is net heat flow into the material, the temperature of the material will change and the rate of temperature change is proportional to the net heat flow rate qstore: Thermal Capacitance Note: + TC- qIN - qOUT C The above relationship holds only if we assume that the temperature is uniform across the entire material.

  8. Interconnection Laws Energy Balance - 1st Law of Thermodynamics • Energy stored in the system is the sum of the net energy inflow, the energy generated within the system and the work done on the system: • Thermal EOMs are obtained by the balance of energy • Remember that there is NO inertia in macroscopic thermal system

  9. Tc R Ta + C - Tr Equivalent electrical circuit Example (a simple first order system) Ex: A material with a thermal capacitance C is surrounded by an insulation material with thermal resistance R. Heat is added to the inner material at a rate of qi(t). Find the system model, if the inner material temperature TCis to be the output. Ta TC , C R qi(t)

  10. Tc1 R1 Tc2 R2 qc1 C1 q2 qc2 Ta: C2 + Ta - TC2 C2 Tr TC1 C1 Equivalent electrical circuit R1 R2 qi(t) Example State Space Representation: EOMs: Steady State (equilibrium)?

  11. Example EOMs for changes in temperatures from equilibrium : State Space Representation: Steady State (equilibrium)?

  12. TA hA Heat Sink dP cP , rP , TP Tp qi Rs Ra + C TA - Tr dS In Class Example Ex: The Pentium processor under normal operation will generate heat at a rate of qi(t). The processor itself has a specific heat of cP. The cross sectional area of the chip is AP with a thickness of dP. The average density of the processor is rP . To help dissipate the heat and reduce the processor temperature TP, a heat sink with the same cross sectional area and an average thickness of dSis added on top of the processor. The heat sink has a thermal conductivity of aS . The effective conduction area between the heat sink and processor is approximated by AP . To further improve heat dissipation, a fan is used to generate air flow on top of the heat sink, the effective convection coefficient is hA and the effective contact area between the heat sink and the air flow is AS . The temperature inside the computer is maintained at TA. Find the relationship between qi(t) and the temperature of the processor TP. AP 1st law:

More Related