Academic Journal

Development of CNC Micro-milled Leaf-Pattern Micro-channel Heat Sink (LP-MCHS) and Testing Using Nanofluids

التفاصيل البيبلوغرافية
العنوان: Development of CNC Micro-milled Leaf-Pattern Micro-channel Heat Sink (LP-MCHS) and Testing Using Nanofluids
المؤلفون: Itankar, S R, Mohite, S S, Gaikwad, V P, Parmar, H
المصدر: IOP Conference Series: Materials Science and Engineering ; volume 810, issue 1, page 012025 ; ISSN 1757-8981 1757-899X
بيانات النشر: IOP Publishing
سنة النشر: 2020
الوصف: Micro-channel heat sinks (MCHS) have attracted the attention of researchers because of their compact design and wide range of applications. MCHS is mostly used to dissipate heat where large amount of heat is generated in a confined space. In this work, leaf pattern MCHS is fabricated on pure copper block by micro-milling on CNC machining center and is tested for its thermal performance and fluid flow behaviour using pure water as well as various nanofluids such as Copper Oxide(CuO), Aluminium Oxide(Al2O3)and Silicon Oxide(SiO2). The volume concentration of nanofluids was kept constant, i.e., 0.3% volume fraction and the experiments were carried out for heat flux ranging from 65 W/cm2 to 200 W/cm2 and flow rate from 100 ml/min to 900 ml/min. The results of experiments indicate that these nanofluids, as a working fluid, enhance the heat transfer by 35% and Nusselt Number by up to 37%, however, increases the pressure drop by 18% which increases the pumping power. From the performance evaluation analysis, it was found that the SiO2 nanofluid with leaf pattern MCHS gives optimal performance.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1088/1757-899x/810/1/012025
DOI: 10.1088/1757-899X/810/1/012025/pdf
DOI: 10.1088/1757-899X/810/1/012025
الاتاحة: http://dx.doi.org/10.1088/1757-899x/810/1/012025
https://iopscience.iop.org/article/10.1088/1757-899X/810/1/012025/pdf
https://iopscience.iop.org/article/10.1088/1757-899X/810/1/012025
Rights: http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
رقم الانضمام: edsbas.BBCB66E
قاعدة البيانات: BASE
الوصف
DOI:10.1088/1757-899x/810/1/012025