Chicago State Effect of Adjusting the Angle on Heat Dissipation Outcome Essay

Chicago State University

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For the Journal Reflection assignments, you will read and critically review a paper related to the study of heat transfer. In your written reflection, address the following points:

  1. What are goals/purposes of the paper?
  2. How did the authors go about achieving these goals (analysis, experiment, computation, etc.)?
  3. What did they conclude?
  4. Specific strengths (3) – Well written, good technically, etc.
  5. Specific weaknesses (3) – Hard to read plots, errors, etc.
  6. Overall assessment of quality of paper.

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International Journal of Heat and Mass Transfer 123 (2018) 561–568 Contents lists available at ScienceDirect International Journal of Heat and Mass Transfer journal homepage: Natural convection heat transfer of a straight-fin heat sink Xiangrui Meng a,b, Jie Zhu b,⇑, Xinli Wei a,⇑, Yuying Yan b a b School of Chemical Engineering and Energy, Zhengzhou University, Henan, China Department of Architecture and Built Environment, The University of Nottingham, Nottingham, UK a r t i c l e i n f o Article history: Received 30 January 2018 Received in revised form 1 March 2018 Accepted 1 March 2018 Available online 20 March 2018 Keywords: Natural convection heat transfer Heat sink Mounting angle Stagnation zone a b s t r a c t The influence of mounting angle on heat dissipation performance of a heat sink under natural convection condition is investigated in this paper by numerical simulation and experimental test. It is found that the heat sink achieves the highest cooling power when its mounting angle is 90°, while it reaches the lowest when the mounting angle is 15°, which is 6.88% lower than that of 90°. A heat transfer stagnation zone is the main factor that affects the cooling power of the heat sink, and its location and area vary with the mounting angle. It is identified that cutting the heat transfer stagnation zone is an effective way to improve the heat sink performance. Ó 2018 Elsevier Ltd. All rights reserved. 1. Introduction Heat sink is a passive heat exchanger that transfers heat generated by an electronic or a mechanical device to a fluid medium, such as air and liquid coolant. Heat dissipation is very important in the modern electronic industry, according to the statistical data, high temperature causes more than 55% failures of electronics [1]. The heat sink is also used in other areas, for example, heat dissipation of DSC (Dye-Sensitized Solar Cell) [2]. The heat sink has different structures, and can be classified into active and passive types. Compared to the active heat sink, the passive heat sink dissipates thermal energy through the nature convection, and usually it is made of aluminium finned radiator, so it has high reliability and low cost characters. The driving force in the passive heat sink is buoyancy force generated by temperature difference. The natural convection of heat sink can be divided into limited and infinite space convections according to the external space. Most of the passive heat sinks have simple structure and low cost characters because of their straight fins. Elenbaas [3] carried out the earliest investigation on natural convective heat dissipation for a parallel fin heat sink, Bodoia and Osterle [4] deduced a theoretical solution of the natural convection heat dissipation for the parallel vertical fin heat sink on the basis of theoretical analysis. Other researchers studied and optimised the geometrical dimensions of parallel fin heat sink, and gave out some formulas ⇑ Corresponding authors. E-mail addresses: (J. Zhu), (X. Wei). 0017-9310/Ó 2018 Elsevier Ltd. All rights reserved. for calculating geometrical dimensions [5–11]. Heat dissipation performance of the parallel straight fin heat sink can be improved by increasing air turbulence between the fins, such as arranging staggered cylinders [12], drilling holes on base plate [13], opening slots [14] or drilling holes on the fins [15]. The above studies are all conducted with the horizontal or vertical heat sink [16–18], nevertheless, the influence of the heat sink mounting angle on heat dissipation is rarely mentioned. Mehrtash et al. [19] studied the effect of inclination of fin-plate heat sink on heat dissipation by numerical simulation with three-dimensional steady-state natural convection. Based on Mehrtash’s research results, Tari et al. [20] developed a Nusselt number formula, and found that the fin spacing is an important parameter affecting heat sink thermal performance [21]. Shen et al. [22] investigated heat dissipation properties of the heat sinks placed in eight different directions, and discovered that the denser the fin arrangement, the more sensitive the directionality. There are two main factors limiting the sink natural convection heat dissipation, one is that the heat transfer direction does not match with natural convection flow, and the other one is that the convection between the fins is blocked. In this paper, the influence of heat sink mounting angle on its heat dissipation is investigated. A test rig is designed and built to measure heat dissipation performances of a heat sink at different mounting angles. The numerical simulation of the heat sink performance is carried out, and the simulation results are compared with the experimental data. The optimum mounting angle of the heat sink is obtained, which is useful for heat sink design and installation. 562 X. Meng et al. / International Journal of Heat and Mass Transfer 123 (2018) 561–568 Nomenclature A cp h k Qhs Rth Rhts Tave Tam DT heat sink surface area, m2 specific heat capacity of fluid, J kg1 K1 heat transfer coefficient, W m2 K1 thermal conductivity, W m1 K1 heatsink input power, W thermal resistance, K W1 the ratio of stagnation zone accounts for the fin whole area, dimensionless average temperature of heat sink plate, K ambient temperature, K temperature difference between heat sink surface and the ambient temperature, K 2. Experimental apparatus 2.1. General description The main components of the test rig include a JP1505D DC power supply, a DC heating plate, an Agilent 34970A Data Acquisition, a number of K-type thermocouples and PT100 RTDs. The schematic of the test rig is shown in Fig. 1. The experimental system is located in a large closed space without the external interference to achieve the heat sink natural convection environment. A special support is designed to ensure the heat sink could rotate 360° freely, as shown in Fig. 2. The heat sink and heating plate are fastened by bolts to reduce the contact thermal resistance and prevent the relative displacement between them. The heating plate is controlled by the JP1505D DC power supply for different heating powers. The maximum output power of the power supply is 750 W, its output voltage range is from 0 V to 150 V with accuracy ±0.3 V and its current range is from 0 A to 5 A with accuracy ±0.01 A. The electric heating power is constant during the testing, the surface temperature of heat sink is measured and used to judge heat dissipation performance of the heat sink. The lower surface temperature of the heat sink, the better heat dissipation performance. Assuming heat is only dissipated by the heat sink when the temperature of the heat sink substrate became constant, the heat sink performance can be assessed by its surface temperatures. The data collection system consists of TC, RTD and Agilent 34970A Data Acquisition, the locations of the measuring points are shown in Fig. 3. TCs are set at Points 1 to 6 to get the heat sink bottom temperatures, RTDs are set at Points 7 to 9 to measure the fin surface temperatures. Agilent 34970A Data Acquisition with module 34902A, which features a built-in thermocouple reference u, v, w components of velocity, m s1 x, y, z components of coordinate x1,x2,x3,. . .xn independent variables dx1, dx2, dx3. . . dxn errors of independent variables Greek symbols b thermal expansion coefficient, K1 q air density, kg m3 q0 air density at T0, kg m3 l viscosity, N s m2 and 16 two-wire channels, has 6 1/2-digit (22-bit) internal DMM and can scan up to 250 channels per second. The K-type armoured thermocouple WRNK-191 is used in the experiment. The material of WRNK-191 is nickel-chromium & nickel-silicon and its measurement temperature range is from 0 °C to 600 °C with accuracy ±0.5 °C. Because of high thermoelectric power, the WRNK-191 TC has high sensitivity and its thermal response time is 3S. The measurement temperature range of SMD Pt100 RTD Temperature Sensor used for the fin surface is from 50 °C to 200 °C with accuracy ±0.15 °C. It can be directly pasted to the fin surface with Fig. 2. Schematic of support. Fig. 1. Schematic of the test rig: (1) DC power; (2) Agilent 34970A; (3) computer; (4) heat sink; (5) heating plate; (6) thermal insulation. Fig. 3. Arrangement of measuring points. Points 1–6K-type thermocouples; Points 7–9, PT100 RTDs. 563 X. Meng et al. / International Journal of Heat and Mass Transfer 123 (2018) 561–568 Table 1 The geometries of heat sink. Length (mm) Width (mm) Base thickness (mm) Fin height (mm) Fin thickness (mm) Fins pitch (mm) Number of fins 150 76 5 50 3 9.17 7 thermally conductive glue. The tested heat sink is an aluminium straight-fin type, its geometries are listed in Table 1. 2.2. Experimental procedure (1) Coating thermal grease evenly on the heat sink bottom before fixing it to the heating substrate with screws. (2) Adjusting the mounting angle of the heat sink to a certain angle, and then checking the output voltage of DC power supply to insure the constant heating power. (3) The data of each measuring point are to be collected after the heat sink begin to be heated. (4) The equilibrium between heating and dissipation is reached as the maximum temperature fluctuate on the bottom surface of the heat sink substrate is less than 0.5 °C within 20 min. The least thermal resistance method is used to assess the heat sink heat dissipation performance. Thermal resistance Rth can be calculated by following equation [5]: Rth ¼ T av e T sur Q hs ð1Þ where Tave and Tsur are the average temperatures of the heat plate and the ambient respectively, Qhs is the heat dissipation power. With constant input power for the heat sink, the lower the thermal resistance, the higher the heat dissipation ability. Heat transfer coefficient h of the heat sink can be calculated from the following: h¼ Q hs A  DT 3. Numerical simulation model The CFD simulation is carried out for the tested straight-fin heatsink using the symmetric model because the object is symmetric. The simulation zone is shown in Fig. 4 and its dimension is 900 mm  456 mm  330 mm. Because of the regular geometric shape of the simulation zone, the hexahedral grid is adopted in the meshing procedure which will not only get high-quality grid but also be easy to modify the meshing strategy. The mesh density near the fin surface is increased for its Y+ < 1 [23]. The simulation is carried out with different meshing strategies, the average surface temperatures of the fin are monitored and compared. The simulation results are shown in Fig. 5, it can be seen that the optimum meshing strategy is one with the grid number of 464058, and the optimum mesh model is shown in Fig. 6. In order to reduce the amount of computational resources, the following assumptions are made: (1) The air flow is treated as a three-dimensional steady laminar flow. (2) Boussinesq model is used in air zone. (3) The temperature and heat flow of the heat plate are even. (4) Except density, the properties of air are constant. (5) Air is nonslip on the fin surface. (6) The viscous dissipation and radiation heat transfer are not considered. ð2Þ where A is heat sink surface area, DT refers to temperature difference between the heat sink surface and ambient. 2.3. Error analysis The experimental errors mainly include systematic and accidental errors. The error dy of a variable y can be obtained by the quadratic equation of the experimental data as the variables are assumed as y = f(x1, x2, x3,. . .xn): sffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  2  2  2 @y @y @y dy ¼ dx21 þ dx22 þ    þ dx2n @x1 @x2 @xn ð3Þ where x1,x2,x3,. . .xn are independent variables, dx1, dx2, dx3,. . . dxn are their errors. The maximum errors of variables and measurement ranges are listed in Table 2. In addition, each test is repeated several times in order to minimise accidental errors, so the average data are likely to be close to the true values. Fig. 4. Scope of the simulation. Table 2 Accuracies of sensors and the maximum relative errors of variables. Temperature Accuracy Maximum error TC RTD ±0.5 °C 1.823% ±0.15 °C 1.367% Voltage Current Heating power Thermal resistance ±0.3 V 0.411% ±0.01 A 0.909% – 0.998% – 2.08% 564 X. Meng et al. / International Journal of Heat and Mass Transfer 123 (2018) 561–568 @ðquTÞ @ðqvTÞ @ðqwTÞ j @ 2 T @ 2 T @ 2 T þ þ ¼ þ þ @x @y @z cp @x2 @y2 @z2 ! ð5Þ where T is air temperature, k is air thermal conductivity, Cp is air specific heat capacity. The natural-convection flow is driven by the air density change and gravity force under heating condition. For external natural convection flow, the momentum equations can be written as: ! @ðqu2 Þ @ðquv Þ @ðquwÞ @P @2u @2u @2u þ þ þ þ ¼ þl @x @y @z @x @x2 @y2 @z2 @ðquv Þ @ðqv 2 Þ @ðqv wÞ @P @2v @2v @2v þ þ þ þ ¼ þl @x @y @z @y @x2 @y2 @z2 ! þ gðq  q0 Þ Fig. 5. Grid independence check. ð6Þ ! @ðquwÞ @ðqv wÞ @ðqw2 Þ @P @2w @2w @2w þ 2 þ 2 þ þ ¼ þl @x @y @z @z @x2 @y @z ð7Þ ð8Þ where p is air static pressure, l is air viscosity. 3.2. Model for solid region There is no internal heat source in the heat sink, so energy equation of solid region can be written as: @2T @2T @2T þ þ ¼0 @x2 @y2 @z2 ð9Þ For natural-convection flow, the simulation can get quick convergence with the Boussinesq model, q ¼ q0 ½1  bðT  T 0 Þ where q is air density at temperature T, q0 is air density at T0, b is air thermal expansion coefficient. The interface between the fluid and solid domains is treated as the fluid-solid coupling surface, and no-slip condition is used for the fluid-solid boundary. The bottom of the heat sink is set as ‘WALL’ with a constant heat flux. Low Reynolds number k-e Turbulent Model is adopted in the simulation program because more accurate results can be obtained compared with the wall function method [24]. Especially, it can limit the error no more than 2% when coupled with full pressure outlet boundary condition. The other settings are Pressure based solver, SIMPLE algorithm, PRESTO! (Pressure Staggered Option) for pressure, Second order upwind format for other parameters. The residual value used as convergence indicator is 1e-06. The heat flux at the heat sink bottom and the fin surface temperature are also used as ancillary convergence indicators. Fig. 6. Final meshed model. 3.1. Model for fluid region Based on the mass conservation principle, the following continuity equation is adopted. @ðquÞ @ðqvÞ @ðqwÞ þ þ ¼0 @x @y @z ð10Þ ð4Þ where q is air density, u, v, w are components of velocity, x, y, z are components of coordinate. Energy equation is obtained on the basis of energy balance characteristics. Table 3 Fin temperatures at measuring points. Heating power (W) 5 10 20 30 40 50 60 70 80 Temperature at measuring point (°C) Average of bottom temperature (°C) 1 2 3 4 5 6 7 8 9 24 33 47 52 62 67 82 87 92 22 35 48 53 61 68 80 88 92 24 35 46 53 61 67 80 86 92 24 34 47 51 61 67 80 86 93 23 34 47 52 62 70 84 87 94 22 34 47 52 63 70 83 88 94 17 30 41 48 57 64 72 81 86 20 33 45 50 60 69 76 84 91 18 30 42 47 55 64 74 82 85 23.2 34.2 47 52.2 61.7 68.2 81.5 87 92.8 X. Meng et al. / International Journal of Heat and Mass Transfer 123 (2018) 561–568 565 4. Results and discussion 4.1. Temperature distribution of heat sink The fin temperature measurement results are listed in Table 3 at the mounting angle of 0°. It can be found from this table, the fin bottom temperatures (Points 1–6 in Fig. 3) are almost same, but the surface temperatures (Points 7–9 in Fig. 3) are different. The surface temperature at the heat sink centre (Point 8) is obviously higher than those near the heatsink edge. As shown in Fig. 7, the temperature distributions of the heat sink fin and bottom are not uniform whether the mounting angle is 0° or 45°. At the mounting angle of 0°, the highest temperature appears at the heat sink centre while the lowest temperature happens at the fin corner. The fin temperature in the middle of the heatsink is always higher than the others. This is consistent with the experiment results in Table 3. Compared with the mounting angle of 0°, the highest temperature zone moves to the fin end edge at the mounting angle of 45°. 4.2. Influence of heating power on heat transfer coefficient Heat transfer coefficients from simulation and experimental test are shown in Fig. 8 at the heat sink mounting angle of 0°. It is found that the variation of simulation data is similar to that of experiment results. The maximum error between them is about 10.5% which is acceptable. Heat transfer coefficient increases rapidly with the heating power when the heating power is below 50 W, but it increases moderately when the heating power is over (a) Mounting angle 0o Fig. 8. Experimental and simulation results of heat transfer coefficient. 50 W. The heat transfer driving force in the heat sink is the air flow, the air will get more heat from the heat sink as the heating power increases, and its flow velocity will increases as well, so the heat transfer coefficient becomes higher. The air flow resistance, however, will increase with the velocity, therefore the increase rate of heat transfer coefficient will decrease synchronously. 4.3. Influences of heating power and mounting angle on thermal resistance The variation of thermal resistance with the mounting angle is shown in Fig. 9. The thermal resistance increases with the mounting angle at first and reaches the maximum when the mounting angle is 15°, then it decreases. The variation of thermal resistance is not significant when the mounting angle is over 60°, it reaches the minimum when the mounting angle is 90°. When heating power is higher than 50 W, the fluctuation of thermal resistance is moderate, especially there is nearly no variation when the mounting angle is bigger than 60°. The ratios between the maximum and minimum thermal resistances for the heating powers of 5 W, 30 W, 50 W and 80 W, are 29.78%, 18.12%, 6.88% and 13.98% respectively. So in practice, the mounting angle should be set as 90°. The variation of thermal resistance with heating power is shown in Fig. 10. It is found that thermal resistance decreases with heating power. Thermal resistances at the mounting angle of 15° are the biggest for all heating powers, while the resistances (b) Mounting angle 45o Fig. 7. Temperature contours of fin and bottom of heat sink with mounting angles 0° and 45°. Fig. 9. Thermal resistance variation with mounting angle (experimental results). 566 X. Meng et al. / International Journal of Heat and Mass Transfer 123 (2018) 561–568 airflow is larger than 30 °C, calling it ‘A zone’. According to heat transfer equation Q = hADT, DT will be the key factor when h is kept constant or slightly fluctuate. Therefore, heat transfer in the ‘D zone’ will be very small compared to that in the ‘A zone’ and even can be ignored, so the ‘D zone’ is named as ‘heat transfer stagnation zone’. The bigger the area of heat transfer stagnation zone, the lower the heat transfer. Then the area ratio (Rhts) of heat transfer stagnation zone to the fin is assessed. Fig. 12 shows Rhts variation with the mounting angle. It is found that the Rhts variation is similar to that of thermal resistance. They reach the maximum values at the mounting angle of 15°. The Rhts increases at first and th ...
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Journal Reflection
Student’s Name
Institutional Affiliations


Goals/purposes of the paper

The paper examines the effect of adjusting the angle on heat dissipation outcome of a
heat sink. The test rig has been aimed at evaluating the rate of heat dissipation of heat sink in
different level of angles. The author then compares the results from the simulation with the data
from the experiment.
How authors go about achieving these goals
In achieving the goals, the author conducts an experiment and a simulation model. The
experiment is conducted in a large closed space that do...

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