FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)

Bed active carbon is one of the most important materials that had great impact in determining level of impurities in production of CO2 gas. In this particular factory case, there is unavailability of standard duration time of heating and cooling and steam flow rate for the re-generation process of b...

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Main Authors: S. Febriana, M.D. Kurniawati, Iwan Halim Sahputra, I Nyoman Sutapa
Format: Article
Language:English
Published: Petra Christian University 2005-01-01
Series:Jurnal Teknik Industri
Subjects:
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/16401
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author S. Febriana
M.D. Kurniawati
Iwan Halim Sahputra
I Nyoman Sutapa
author_facet S. Febriana
M.D. Kurniawati
Iwan Halim Sahputra
I Nyoman Sutapa
author_sort S. Febriana
collection DOAJ
description Bed active carbon is one of the most important materials that had great impact in determining level of impurities in production of CO2 gas. In this particular factory case, there is unavailability of standard duration time of heating and cooling and steam flow rate for the re-generation process of bed active carbon. The paper discusses the fuzzy inference system for modeling of re-generation process of bed active carbon to find the optimum setting parameter. The fuzzy inference system was build using real historical daily processing data. After validation process, surface plot analysis was performed to find the optimum setting. The result of re-generation parameter setting is 9-10 hours of heating process, 4.66-5.32 hours of cooling process, and 1500-2500 kg/hr of steam flow rate.
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spelling doaj.art-1cad48222f8847d6aec53272ea4b6cac2022-12-22T03:56:03ZengPetra Christian UniversityJurnal Teknik Industri1411-24852005-01-0172119126FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)S. FebrianaM.D. KurniawatiIwan Halim SahputraI Nyoman SutapaBed active carbon is one of the most important materials that had great impact in determining level of impurities in production of CO2 gas. In this particular factory case, there is unavailability of standard duration time of heating and cooling and steam flow rate for the re-generation process of bed active carbon. The paper discusses the fuzzy inference system for modeling of re-generation process of bed active carbon to find the optimum setting parameter. The fuzzy inference system was build using real historical daily processing data. After validation process, surface plot analysis was performed to find the optimum setting. The result of re-generation parameter setting is 9-10 hours of heating process, 4.66-5.32 hours of cooling process, and 1500-2500 kg/hr of steam flow rate.http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/16401fuzzy inference systembed active carbonre-generation process.
spellingShingle S. Febriana
M.D. Kurniawati
Iwan Halim Sahputra
I Nyoman Sutapa
FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)
Jurnal Teknik Industri
fuzzy inference system
bed active carbon
re-generation process.
title FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)
title_full FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)
title_fullStr FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)
title_full_unstemmed FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)
title_short FUZZY INFERENCE SYSTEM MODELING FOR BED ACTIVE CARBON RE-GENERATION PROCESS (CO2 GAS FACTORY CASE)
title_sort fuzzy inference system modeling for bed active carbon re generation process co2 gas factory case
topic fuzzy inference system
bed active carbon
re-generation process.
url http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/16401
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AT inyomansutapa fuzzyinferencesystemmodelingforbedactivecarbonregenerationprocessco2gasfactorycase