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Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder

Welding is a fundamental process of metal joining in metal industries and widely used for mild steel and stainless-steel components. Despite the number of advantages which human can adopt from this technology, this process also produces hazardous gaseous and toxic fumes which later on may affect wel...

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Main Authors: Zainal Bakri, Siti Farhana, Hariri, Azian, Nasir, Nurul Fitriah
Other Authors: Asmuin, Nor Zelawati
Format: Book Section
Language:English
Published: Penerbit UTHM 2020
Subjects:
T175-178 Industrial research. Research and development
T57.6-57.97 Operations research. Systems analysis
Online Access:http://eprints.uthm.edu.my/3104/1/Ch05.pdf
http://eprints.uthm.edu.my/3104/
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spelling my.uthm.eprints.31042022-01-03T09:15:17Z http://eprints.uthm.edu.my/3104/ Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder Zainal Bakri, Siti Farhana Hariri, Azian Nasir, Nurul Fitriah T175-178 Industrial research. Research and development T57.6-57.97 Operations research. Systems analysis Welding is a fundamental process of metal joining in metal industries and widely used for mild steel and stainless-steel components. Despite the number of advantages which human can adopt from this technology, this process also produces hazardous gaseous and toxic fumes which later on may affect welder’s health and contribute to environmental pollution. Therefore, the aim of this study is to develop the risk prediction model on the lung deterioration upon metal based industrial workers specifically in automotive industry. As for data collection, an experimental study includes physical assessment, questionnaire, biological monitoring will be conducted in both pilot test and industrial case study. Based on the statistical correlation analysis, the risk prediction model will be developed and verified in another metal base industry (Case study 4). A user-friendly software program will be developed by using R-Graphical User Interface (RGUI). The expectation outcome from this study is to develop a new lung risk prediction model on that able to detect on early symptoms of lung deterioration. Hence, it can contribute to better understanding on the effects of heavy metals exposure,.. Penerbit UTHM Asmuin, Nor Zelawati Hariri, Azian Zakaria, Hanis Sies, Mohamad Farid Idris, Ahmad Fu’ad 2020 Book Section PeerReviewed text en http://eprints.uthm.edu.my/3104/1/Ch05.pdf Zainal Bakri, Siti Farhana and Hariri, Azian and Nasir, Nurul Fitriah (2020) Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder. In: Recent Development in Industrial and Indoor Environment Research Studies. Penerbit UTHM, pp. 61-92. ISBN 978-967-2916-43-7
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T175-178 Industrial research. Research and development
T57.6-57.97 Operations research. Systems analysis
spellingShingle T175-178 Industrial research. Research and development
T57.6-57.97 Operations research. Systems analysis
Zainal Bakri, Siti Farhana
Hariri, Azian
Nasir, Nurul Fitriah
Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder
description Welding is a fundamental process of metal joining in metal industries and widely used for mild steel and stainless-steel components. Despite the number of advantages which human can adopt from this technology, this process also produces hazardous gaseous and toxic fumes which later on may affect welder’s health and contribute to environmental pollution. Therefore, the aim of this study is to develop the risk prediction model on the lung deterioration upon metal based industrial workers specifically in automotive industry. As for data collection, an experimental study includes physical assessment, questionnaire, biological monitoring will be conducted in both pilot test and industrial case study. Based on the statistical correlation analysis, the risk prediction model will be developed and verified in another metal base industry (Case study 4). A user-friendly software program will be developed by using R-Graphical User Interface (RGUI). The expectation outcome from this study is to develop a new lung risk prediction model on that able to detect on early symptoms of lung deterioration. Hence, it can contribute to better understanding on the effects of heavy metals exposure,..
author2 Asmuin, Nor Zelawati
author_facet Asmuin, Nor Zelawati
Zainal Bakri, Siti Farhana
Hariri, Azian
Nasir, Nurul Fitriah
format Book Section
author Zainal Bakri, Siti Farhana
Hariri, Azian
Nasir, Nurul Fitriah
author_sort Zainal Bakri, Siti Farhana
title Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder
title_short Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder
title_full Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder
title_fullStr Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder
title_full_unstemmed Development of welding lung assessment (WELA) as a prognosis tool of lung impairment from heavy metal exposure among Malaysian welder
title_sort development of welding lung assessment (wela) as a prognosis tool of lung impairment from heavy metal exposure among malaysian welder
publisher Penerbit UTHM
publishDate 2020
url http://eprints.uthm.edu.my/3104/1/Ch05.pdf
http://eprints.uthm.edu.my/3104/
_version_ 1738581082386726912
score 13.211869

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