Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers

Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers

Purifiying the IPA from the aqueous solutions in the industry by PV is a well-established in the membrane separation technologies. PV has progressively become a prospective separation technique because of the benefits in term of energy efficiency, environment friendly and simple operation. To ensure...

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Main Authors: Wan Zulaisa Amira, Wan Jusoh, Sunarti, Abd Rahman, Abdul Latif, Ahmad, Nadzirah, Mohd Mokhtar
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/19190/
http://umpir.ump.edu.my/id/eprint/19190/1/fkksa-2017-sunarti-Two%20Level%20Factorial%20Design%20Using%20RSM%20For%20Screening.pdf
id ump-19190
recordtype eprints
spelling ump-191902020-02-28T02:17:40Z http://umpir.ump.edu.my/id/eprint/19190/ Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers Wan Zulaisa Amira, Wan Jusoh Sunarti, Abd Rahman Abdul Latif, Ahmad Nadzirah, Mohd Mokhtar TP Chemical technology Purifiying the IPA from the aqueous solutions in the industry by PV is a well-established in the membrane separation technologies. PV has progressively become a prospective separation technique because of the benefits in term of energy efficiency, environment friendly and simple operation. To ensure an effective pervaporation process, the rela ted factors and their contributions need to be identified intensively. As one of the features in RSM, FFD were used to identify an approximating function for predicting future response for further analysis to determine fa ctor values that optimize the response function for lPA pervaporation. The factorial models have been obtained from experimental design to study all interactions among the considered parameters which were JPA concentration (70 – 95 wt %), feed temperature.(60 - 90°c), feet flow rate (30 – 100 L/hr) and permeate pressure{0.l - 5 kPa). The results; obtained from the analysis of vnriam e (ANOVA) of permeate flux and selectivity, showed that the iinpacts of JPA concentratjon and feed temperahtre are much more important than feed flow ra te and permeate pressure and the regression equa tion obtained to show the relationship between the responses. 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19190/1/fkksa-2017-sunarti-Two%20Level%20Factorial%20Design%20Using%20RSM%20For%20Screening.pdf Wan Zulaisa Amira, Wan Jusoh and Sunarti, Abd Rahman and Abdul Latif, Ahmad and Nadzirah, Mohd Mokhtar (2017) Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers. In: The 5th International Young Researchers Workshop on River Basin Environment & Management, 28-29 October 2017 , Swiss Garden, Kuantan Pahang. p. 1..
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Wan Zulaisa Amira, Wan Jusoh
Sunarti, Abd Rahman
Abdul Latif, Ahmad
Nadzirah, Mohd Mokhtar
Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers
description Purifiying the IPA from the aqueous solutions in the industry by PV is a well-established in the membrane separation technologies. PV has progressively become a prospective separation technique because of the benefits in term of energy efficiency, environment friendly and simple operation. To ensure an effective pervaporation process, the rela ted factors and their contributions need to be identified intensively. As one of the features in RSM, FFD were used to identify an approximating function for predicting future response for further analysis to determine fa ctor values that optimize the response function for lPA pervaporation. The factorial models have been obtained from experimental design to study all interactions among the considered parameters which were JPA concentration (70 – 95 wt %), feed temperature.(60 - 90°c), feet flow rate (30 – 100 L/hr) and permeate pressure{0.l - 5 kPa). The results; obtained from the analysis of vnriam e (ANOVA) of permeate flux and selectivity, showed that the iinpacts of JPA concentratjon and feed temperahtre are much more important than feed flow ra te and permeate pressure and the regression equa tion obtained to show the relationship between the responses.
format Conference or Workshop Item
author Wan Zulaisa Amira, Wan Jusoh
Sunarti, Abd Rahman
Abdul Latif, Ahmad
Nadzirah, Mohd Mokhtar
author_facet Wan Zulaisa Amira, Wan Jusoh
Sunarti, Abd Rahman
Abdul Latif, Ahmad
Nadzirah, Mohd Mokhtar
author_sort Wan Zulaisa Amira, Wan Jusoh
title Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers
title_short Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers
title_full Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers
title_fullStr Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers
title_full_unstemmed Two Level Factorial Design Using RSM For Screening Factors Of IPA Dehydration By Pervaporation Process Using PA Hollow Fibers
title_sort two level factorial design using rsm for screening factors of ipa dehydration by pervaporation process using pa hollow fibers
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/19190/
http://umpir.ump.edu.my/id/eprint/19190/1/fkksa-2017-sunarti-Two%20Level%20Factorial%20Design%20Using%20RSM%20For%20Screening.pdf
first_indexed 2023-09-18T22:27:30Z
last_indexed 2023-09-18T22:27:30Z
_version_ 1777416064953483264

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