Optimisasi Pada Perancangan Supersonic Separation (3S) Menggunakan Genetic Algorithm

Nugroho, Ade Setyo (2017) Optimisasi Pada Perancangan Supersonic Separation (3S) Menggunakan Genetic Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 2415105011-Undergraduate_Theses.pdf]
Preview
Text
2415105011-Undergraduate_Theses.pdf

Download (4MB) | Preview

Abstract

Gas alam yang masih memiliki banyak kandungan membutuhkan keadaan khusus untuk masuk pada proses pengolahan gas guna memisahkan kandungan gas mentah menjadi partikel – partikel gas yang siap digunakan. Teknologi pemisahan gas yang berkembang saat ini adalah supersonic separation (3S). Model perancangan supersonic separation menggunakan persamaan material balance, energy balance, dan hukum Bernoulli serta menggunakan metode optimisasi berupa genetic algorithm. Hasil optimisasi yang didapatkan berupa diameter sebelum laval nozzle sebesar 0.1047 m, diameter pada laval nozzle sebesar 0.0128 m, diameter pada cyclonic separation sebesar 0.0293 m, panjang sebelum laval nozzle sebesar 0.1806 m dan panjang setelah laval nozzle 0.2005 m serta volume supersonic separation yaitu 6,63 x 10-4 m3. Dimensi hasil optimisasi digunakan untuk menghasilkan harga material minimal perancangan sebesar Rp. 5.167.618. ===============================================================================================================================
Natural gas that still has many contents requires special conditions to enter in the gas processing to separate the raw gas content into gas particles ready for use. The current gas separation technology is supersonic separation (3S). Supersonic separation design model using material balance equation, energy balance, and Bernoulli law and using optimization method in the form of genetic algorithm. The optimization result was obtained before the laval nozzle was 0.1047 m, the diameter of the laval nozzle was 0.0128 m, the diameter of the cyclonic separation was 0.0293 m, the length before the laval nozzle of 0.1806 m and the length after laval nozzle 0.2005 m and the supersonic separation volume of 6,63 x 10-4 m3. Dimensions of optimization results are used to produce a minimum material price of design of Rp. 5.167.618.

Item Type: Thesis (Other)
Uncontrolled Keywords: Gas alam, Supersonic separation, Genetic algorithm
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms
T Technology > TS Manufactures > TS167 Costs, Industrial
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Ade Setyo Nugroho
Date Deposited: 14 Nov 2024 01:45
Last Modified: 14 Nov 2024 01:45
URI: http://repository.its.ac.id/id/eprint/47602

Actions (login required)

View Item View Item