Optimisasi Pada Re-Design Heat exchanger Helical baffle Untuk Meningkatkan Overall Heat transfer Coefficient

Rifa'i, Siti Husniyatul Habybah (2021) Optimisasi Pada Re-Design Heat exchanger Helical baffle Untuk Meningkatkan Overall Heat transfer Coefficient. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Heat exchanger merupakan salah satu komponen penting dari plant seperti pembangkit listrik, sistem pendingin, otomotif dan pemanas air tenaga surya, dan lain-lain. Heat exchanger ini melibatkan dua atau lebih fluida proses yang akan bertukar panas antara dua atau lebih aliran, namun rentan terjadi sebuah kebocoran. Untuk itu, dilakukannya optimisasi untuk pengoptimalan perpindahan panas yang terjadi didalam heat exchanger. Heat exchanger yang digunakan untuk optimisasi menggunakan genetic algorithm pada heat exchanger helical baffle. Pada optimisasi heat exchanger ini menggunakan metode genetic algorithm yang membutuhkan fungsi tujuan, fungsi kendala, variabel yang dioptimisasi, jumlah iterasi, dan lainnya untuk mencapai fitness yang diinginkan. Sehingga, pada optimisasi koefisien perpindahan panas yang optimum, dibutuhkannya nilai variabel yang dioptimisasi dengan merubah-ubah sudut baffle dan jarak antar baffle. Hasil optimisasi yang telah divalidasi oleh HTRI menunjukkan koefisien perpindahan panas secara keseluruhan sebesar 29,17 W/m2K dengan variabel yang dioptimisasi yaitu 0,22 m untuk jarak antar baffle dan 79,81o untuk sudut baffle yang optimum. Sehingga mengalami selisih sebesar 0,29 dari sebelum heat exchanger dilakukan optimisasi, dan mengalami peningkatan sebesar 1% dari sebelum optimisasi yang telah tervalidasi oleh HTRI.
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The heat exchanger is one of the important components of plants such as power plants, cooling systems, automotive and solar water heaters, and others. This heat exchanger involves two or more process fluids that can exchange heat between two or more streams but are prone to leakage. For this reason, optimization is carried out to optimize the heat transfer that occurs in the heat exchanger. The heat exchanger used for optimization uses a genetic algorithm on a helical baffle heat exchanger. In the optimizations of this heat exchanger using a genetic algorithm method that requires objective functions, constraint functions, optimized variables, number of iterations, and others to achieve the desired fitness. So, in optimizing the optimum heat transfer coefficient, it is necessary to optimize the variable value by varying the baffle angle and the distance of baffles. The optimization results that have been validated by HTRI show the overall heat transfer coefficient is 29.17 W/m2K with the optimized variable being 0.22 m for the distance of baffles and 79.81o for the optimum baffle angle. So, that there is a difference of 0.29 from before the heat exchanger was optimized, and an increase of 1% from before the optimization, which was validated by HTRI.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Heat exchanger, helical baffle, optimisasi, koefisien perpindahan panas, Heat exchanger, helical baffle, optimization, overall heat transfer coefficient
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T57.74 Linear programming T Technology > T Technology (General) > T57.84 Heuristic algorithms. T Technology > TJ Mechanical engineering and machinery > TJ263 Heat exchangers
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Siti Husniyatul Habybah Rifa'i
Date Deposited:	18 Aug 2021 08:59
Last Modified:	18 Aug 2021 08:59
URI:	http://repository.its.ac.id/id/eprint/87978

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