The present study represents the heat transfer optimization of two-dimensional incompressible laminar
flow of Al2O3-water nanofluids in a duct with uniform temperature corrugated walls. A two phase model
is applied to investigate different governing parameters, namely: Reynolds number (100 Re 1000),
nonofluids volume fraction (0% f 5%) and amplitude of the wavy wall (0 a 0.04 m). For optimization
process, a recent spot-lighted method, called Artificial Bee Colony (ABC) algorithm, is applied,
and the results are shown to be in a good accuracy in comparison with another well-known heuristic
method, i.e. particle swarm optimization (PSO). The results indicate that the effect of utilizing nanoparticles
and increasing Reynolds number is more intensified on growing the average Nusselt number
than variations of the amplitude of the wavy wall. To prevent the worst possible heat transfer, the
specific amplitude which leads to a minimum average Nusselt number is detected. The effect of using
nanoparticles on thermal-hydraulic performance factor (j/f) is presented which considers both heat
1. Introduction
Optimization of heat transfer systems is of significant importance
in many engineering applications, particularly those
employing compact heat exchangers. Heat transfer enhancement
methods can be divided into two categories. Active methods such
as surface vibration, electrostatic fields, injection and suction, and
passive methods such as extended surfaces, inserts, surface treatments
and additives. Using wavy channels, as a passive method is a
cheap and appropriate way for increasing the heat transfer in
compact heat exchangers. As a matter of fact, wavy channels prevent
the development of flow by disturbing the flow field and
boundary layer, and improve the mixing of higher and lower
temperature parts which enhance the heat transfer. Furthermore,
increasing the thermal properties of fluid with suspending solid
particles, in nano scale, is an innovative way to enhance the rate of
heat transfer as a passive method, because of their higher thermal
The present study represents the heat transfer optimization of two-dimensional incompressible laminarflow of Al2O3-water nanofluids in a duct with uniform temperature corrugated walls. A two phase modelis applied to investigate different governing parameters, namely: Reynolds number (100 Re 1000),nonofluids volume fraction (0% f 5%) and amplitude of the wavy wall (0 a 0.04 m). For optimizationprocess, a recent spot-lighted method, called Artificial Bee Colony (ABC) algorithm, is applied,and the results are shown to be in a good accuracy in comparison with another well-known heuristicmethod, i.e. particle swarm optimization (PSO). The results indicate that the effect of utilizing nanoparticlesand increasing Reynolds number is more intensified on growing the average Nusselt numberthan variations of the amplitude of the wavy wall. To prevent the worst possible heat transfer, thespecific amplitude which leads to a minimum average Nusselt number is detected. The effect of usingnanoparticles on thermal-hydraulic performance factor (j/f) is presented which considers both heat1. IntroductionOptimization of heat transfer systems is of significant importancein many engineering applications, particularly thoseemploying compact heat exchangers. Heat transfer enhancementmethods can be divided into two categories. Active methods suchas surface vibration, electrostatic fields, injection and suction, andวิธีแฝงขยายพื้นผิว แทรก รักษาผิวและวัตถุเจือปน ใช้ช่องหยัก เป็นวิธีการแฝงตัววิธีที่ประหยัด และเหมาะสมสำหรับการเพิ่มการถ่ายเทความร้อนในกระชับแลกเปลี่ยนความร้อน ป้องกันช่องหยักเป็นแท้การพัฒนาของกระแสโดยการรบกวนกระแสฟิลด์ และขอบเขตชั้น ปรับปรุงปนสูง และต่ำส่วนอุณหภูมิที่เพิ่มประสิทธิภาพการถ่ายเทความร้อน นอกจากนี้เพิ่มคุณสมบัติของน้ำมันกับแข็งระงับความร้อนอนุภาค ในระดับนาโน เป็นวิธีเป็นนวัตกรรมใหม่เพื่อเพิ่มอัตราการถ่ายเทความร้อนเป็นวิธีแฝง เนื่องจากความร้อนสูง
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