Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities
A critical issue with Selective laser sintering (SLS) is the release of airborne particulates during powder handling, which pose health risks and environmental concerns. Three factors (input variables) were optimized to minimize the following response variables: particulate matter (PM2.5, PM10), ul...
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| Format: | Article |
| Language: | en |
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2024
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| Online Access: | http://eprints.uthm.edu.my/12759/1/J18902_eb1dc87c6ac3e5170822060881592d69.pdf http://eprints.uthm.edu.my/12759/ https://doi.org/10.31893/multiscience.2025269 |
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| author | Muhamad Damanhur, Amir Abdullah Hariri, Azian Ab Ghani, Sharin Md Fauadi, Muhammad Hafidz Fazli Mustafa, Mohd Syafiq Syazwan Zakaria, Anies Faziehan Subrig, Ummu Sakinah |
| author_facet | Muhamad Damanhur, Amir Abdullah Hariri, Azian Ab Ghani, Sharin Md Fauadi, Muhammad Hafidz Fazli Mustafa, Mohd Syafiq Syazwan Zakaria, Anies Faziehan Subrig, Ummu Sakinah |
| author_sort | Muhamad Damanhur, Amir Abdullah |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | A critical issue with Selective laser sintering (SLS) is the release of airborne particulates during powder handling, which pose health risks and environmental concerns. Three factors (input variables) were optimized to minimize the
following response variables: particulate matter (PM2.5, PM10), ultrafine particles (UFP), and total suspended particles (TSP) using response surface methodology (RSM). The following parameters were found to minimize the PM2.5, PM10,
UFP, and TSP during the pre-processing activities of SLS: (1) Factor A: 100% (100% recycled powder), (2) Factor B: 33% (the powder is thirty-three percent cover when it is collected from the mixing machine), and (3) Factor C: full cover (the powder is completely covered when it is transferred to the SLS 3D printer). These optimal settings resulted in the highest desirability of 0.816. Experiments were conducted using the aforementioned settings to validate the results and the percentage difference between the predicted and experimental values was less than 5%, indicating the reliability of the PM2.5, PM10, UFP, and TSP response surface models. These models will be useful to the operators of SLS 3D printing to predict the PM2.5, PM10, UFP, and TSP as a function of the refresh rate and pre-processing activities considered in this study. |
| format | Article |
| id | my.uthm.eprints-12759 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.uthm.eprints-127592025-07-02T00:13:34Z http://eprints.uthm.edu.my/12759/ Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities Muhamad Damanhur, Amir Abdullah Hariri, Azian Ab Ghani, Sharin Md Fauadi, Muhammad Hafidz Fazli Mustafa, Mohd Syafiq Syazwan Zakaria, Anies Faziehan Subrig, Ummu Sakinah TA Engineering (General). Civil engineering (General) A critical issue with Selective laser sintering (SLS) is the release of airborne particulates during powder handling, which pose health risks and environmental concerns. Three factors (input variables) were optimized to minimize the following response variables: particulate matter (PM2.5, PM10), ultrafine particles (UFP), and total suspended particles (TSP) using response surface methodology (RSM). The following parameters were found to minimize the PM2.5, PM10, UFP, and TSP during the pre-processing activities of SLS: (1) Factor A: 100% (100% recycled powder), (2) Factor B: 33% (the powder is thirty-three percent cover when it is collected from the mixing machine), and (3) Factor C: full cover (the powder is completely covered when it is transferred to the SLS 3D printer). These optimal settings resulted in the highest desirability of 0.816. Experiments were conducted using the aforementioned settings to validate the results and the percentage difference between the predicted and experimental values was less than 5%, indicating the reliability of the PM2.5, PM10, UFP, and TSP response surface models. These models will be useful to the operators of SLS 3D printing to predict the PM2.5, PM10, UFP, and TSP as a function of the refresh rate and pre-processing activities considered in this study. 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12759/1/J18902_eb1dc87c6ac3e5170822060881592d69.pdf Muhamad Damanhur, Amir Abdullah and Hariri, Azian and Ab Ghani, Sharin and Md Fauadi, Muhammad Hafidz Fazli and Mustafa, Mohd Syafiq Syazwan and Zakaria, Anies Faziehan and Subrig, Ummu Sakinah (2024) Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities. Multidisciplinary Science Journal. pp. 1-12. https://doi.org/10.31893/multiscience.2025269 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Muhamad Damanhur, Amir Abdullah Hariri, Azian Ab Ghani, Sharin Md Fauadi, Muhammad Hafidz Fazli Mustafa, Mohd Syafiq Syazwan Zakaria, Anies Faziehan Subrig, Ummu Sakinah Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| title | Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| title_full | Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| title_fullStr | Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| title_full_unstemmed | Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| title_short | Reducing aerosol formation from SLS PA12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| title_sort | reducing aerosol formation from sls pa12 powder using response surface methodology via optimization of refresh rate and powder handling activities |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.uthm.edu.my/12759/1/J18902_eb1dc87c6ac3e5170822060881592d69.pdf http://eprints.uthm.edu.my/12759/ https://doi.org/10.31893/multiscience.2025269 |
| url_provider | http://eprints.uthm.edu.my/ |