Numerical study of pin-fin heat sink with un-uniform fin height design

Yang, Yue-Tzu; Peng, Huan-Sen

doi:10.1016/j.ijheatmasstransfer.2008.02.017

Cited by 101 publications

(33 citation statements)

References 28 publications

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“…The numerical solutions are next validated for the cases of solid circular pin fins in staggered arrangement and solid square pin fins in in-line arrangement studied experimentally by Yang et al [18]. Fig.…”

Section: Validation Of the Numerical Methodsmentioning

confidence: 96%

“…The effect of pin arrangement in terms of pin density and orientation to the dominant flow direction (either inline or staggered) has also been shown to be very influential in PHSs. Generally, increasing pin density and employing staggered arrangements of pins both lead to increased rates of heat transfer and larger pressure losses, [8,[16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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A numerical investigation of thermal airflows over strip fin heat sinks

Al-Sallami

Al‐damook

Thompson

2016

International Communications in Heat and Mass Transfer

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The benefits of using strip fin heat sinks (SFHSs) where the cross-sectional aspect ratio of the fins lie between those for plate fins (high aspect ratio) and pins fins (aspect ratio ) are explored computationally, using a conjugate heat transfer model. Results show that strip fins provide another effective means of enhancing heat transfer, especially when staggered arrangements of strip fins are used. A detailed parameter investigation demonstrates that perforating the strip fins provide additional improvements in terms of enhanced heat transfer, together with reduced pressure loss and heat sink mass. Results are also given which show that, for practical applications in micro-electronics cooling, perforated SFHSs offer important benefits as a means of achieving smaller processor temperatures for reduced mechanical power consumption.

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Section: Validation Of the Numerical Methodsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

A numerical investigation of thermal airflows over strip fin heat sinks

Al-Sallami

Al‐damook

Thompson

2016

International Communications in Heat and Mass Transfer

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show abstract

“…The results also show that there is a potential for optimizing the un-uniform fin height design. [12] Ren-Tsung Huang et al conducted experiments on natural convection heat transfer from square pin fin heat sinks subject to the influence of orientation. A flat plate and seven square pin fin heat sinks with various arrangements are tested under a controlled environment.…”

Section: Heat Sink Studies With Natural Convectionmentioning

confidence: 99%

Cooling Of Electronic Equipments with Heat Sink: A Review of Literature

Shende¹

2013

IOSR-JMCE

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“…Other constraints for the cooling systems include the spatial working space, the allowable noise, etc. The objective of the cooling system design is often minimizing the ratio of used power to reduced temperature, while the design variables are often the geometries of the heat sink which differ the surface area of the heat transfer (Yang and Peng, 2008;). …”

Section: Cooling Systems Are Essentially Important For Electronic Equmentioning

confidence: 99%

Systematic Strategy for Modeling and Optimization of Thermal Systems With Design Uncertainties

Jaluria¹,

Gea²,

Lin³

2010

Frontiers in Heat and Mass Transfer

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Thermal systems play significant roles in the engineering practice and our lives. To improve those thermal systems, it is necessary to model and optimize the design and the operating conditions. More importantly, the design uncertainties should be considered because the failures of the thermal systems may be very dangerous and produce large loss. This review paper focuses on a systematic strategy of modeling and optimizing of the thermal systems with the considerations of the design uncertainties. To demonstrate the proposed strategy, one of the complicated thermal systems, Chemical Vapor Deposition (CVD), is simulated, parametrically modeled, and optimized. The operating conditions, inlet velocities and susceptor temperatures, are the most significant factors in the CVD and are chosen as the design variables. Several responses -including the percentage of the working area, the mean of the deposition rate, the root mean square of the deposition, and the surface kurtosis -are chosen based on the physical needs and statistical foundations, and are utilized to represent the productivity and the quality of the thin-film deposition. One of the Response Surface Method (RSM), the Radial Basis Function (RBF), is employed to formulate the objective and constraint functions for the optimization. However, it is not until the design uncertainties are considered that the thermal system designs have high risk of the violations of the performance constraints. The Reliability-Based Design Optimization (RBDO) algorithms are used to solve the optimization problems with the design uncertainties. The most famous RBDO methods are the Reliability Index Approach (RIA) and the Performance Measure Approach (PMA). In RBDO, probabilistic constraints are established with respect to either normally or non-normally distributed random variables. The optimal solutions are found subjected to the allowable level of the failure probabilities. The Monte Carlo Simulation (MCS) results can be used to evaluate the failure probabilities. As a result, the proposed systematic strategy of parametrically modeling and optimizing with design uncertainties can be applied to either experiments or simulations of other thermal systems to quantitatively represent the performances, improve their productivity, maintain the quality control, and reduce the probability of the system failure.

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Numerical study of pin-fin heat sink with un-uniform fin height design

Cited by 101 publications

References 28 publications

A numerical investigation of thermal airflows over strip fin heat sinks

A numerical investigation of thermal airflows over strip fin heat sinks

Cooling Of Electronic Equipments with Heat Sink: A Review of Literature

Systematic Strategy for Modeling and Optimization of Thermal Systems With Design Uncertainties

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