Process optimization of alumina extraction from aluminium dross via response surface methodology
Despite its toxic nature, aluminium dross (AD), which is composed primarily of aluminium oxide, alloying elements, and salts such as sodium chloride (NaCl) or potassium chloride (KCl), may be repurposed into valuable applications. Various techniques including precipitation, leaching, sol-gel, and hy...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Malaysian Institute of Chemistry
2024
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43851/1/Process%20Optimization%20of%20Alumina%20Extraction%20from%20Aluminium%20Dross%20Via%20Response%20Surface%20Methodology.pdf |
| _version_ | 1824451797073264640 |
|---|---|
| author | Mohamad Jamil Arif, Mansor Yeoh, Yuan Xin Siti Nor Amira, Rosli Noor Intan Shafinas, Muhammad Kittappa, Shanmuga Sumaiya, Zainal Abidin |
| author_facet | Mohamad Jamil Arif, Mansor Yeoh, Yuan Xin Siti Nor Amira, Rosli Noor Intan Shafinas, Muhammad Kittappa, Shanmuga Sumaiya, Zainal Abidin |
| author_sort | Mohamad Jamil Arif, Mansor |
| collection | UMP |
| description | Despite its toxic nature, aluminium dross (AD), which is composed primarily of aluminium oxide, alloying elements, and salts such as sodium chloride (NaCl) or potassium chloride (KCl), may be repurposed into valuable applications. Various techniques including precipitation, leaching, sol-gel, and hydrothermal methods have been explored for alumina (Al2O3) extraction. However, there have been no specific studies reported on process optimization to date. Acid-leaching precipitation, a hydrometallurgical approach, was applied to treat and recover alumina from AD samples in the present study. Response surface methodology (RSM) with Design Expert® (DE) software was employed to optimize alumina production by investigating the interactions of parameters and varying the experimental conditions: temperature, acid concentration, and pH precipitation. X-ray fluorescence (XRF) analysis was used to determine the percentage of alumina recovery from the AD sample. RSM revealed that the acid concentration had a strong effect on alumina yield, while pH significantly influenced its purity. The optimal parameters for alumina extraction were 2.2 M acid concentration, leaching at 71.5 °C, and precipitation at pH 6.5, which gave a maximum yield of 42.17 % and a purity of 91.90 %. |
| first_indexed | 2025-02-19T02:40:20Z |
| format | Article |
| id | UMPir43851 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2025-02-19T02:40:20Z |
| publishDate | 2024 |
| publisher | Malaysian Institute of Chemistry |
| record_format | dspace |
| spelling | UMPir438512025-02-18T08:05:02Z http://umpir.ump.edu.my/id/eprint/43851/ Process optimization of alumina extraction from aluminium dross via response surface methodology Mohamad Jamil Arif, Mansor Yeoh, Yuan Xin Siti Nor Amira, Rosli Noor Intan Shafinas, Muhammad Kittappa, Shanmuga Sumaiya, Zainal Abidin TP Chemical technology Despite its toxic nature, aluminium dross (AD), which is composed primarily of aluminium oxide, alloying elements, and salts such as sodium chloride (NaCl) or potassium chloride (KCl), may be repurposed into valuable applications. Various techniques including precipitation, leaching, sol-gel, and hydrothermal methods have been explored for alumina (Al2O3) extraction. However, there have been no specific studies reported on process optimization to date. Acid-leaching precipitation, a hydrometallurgical approach, was applied to treat and recover alumina from AD samples in the present study. Response surface methodology (RSM) with Design Expert® (DE) software was employed to optimize alumina production by investigating the interactions of parameters and varying the experimental conditions: temperature, acid concentration, and pH precipitation. X-ray fluorescence (XRF) analysis was used to determine the percentage of alumina recovery from the AD sample. RSM revealed that the acid concentration had a strong effect on alumina yield, while pH significantly influenced its purity. The optimal parameters for alumina extraction were 2.2 M acid concentration, leaching at 71.5 °C, and precipitation at pH 6.5, which gave a maximum yield of 42.17 % and a purity of 91.90 %. Malaysian Institute of Chemistry 2024 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43851/1/Process%20Optimization%20of%20Alumina%20Extraction%20from%20Aluminium%20Dross%20Via%20Response%20Surface%20Methodology.pdf Mohamad Jamil Arif, Mansor and Yeoh, Yuan Xin and Siti Nor Amira, Rosli and Noor Intan Shafinas, Muhammad and Kittappa, Shanmuga and Sumaiya, Zainal Abidin (2024) Process optimization of alumina extraction from aluminium dross via response surface methodology. Malaysian Journal of Chemistry, 26 (6). pp. 121-135. ISSN 1511-2292. (Published) https://doi.org/10.55373/mjchem.v26i6.121 10.55373/mjchem.v26i6.121 |
| spellingShingle | TP Chemical technology Mohamad Jamil Arif, Mansor Yeoh, Yuan Xin Siti Nor Amira, Rosli Noor Intan Shafinas, Muhammad Kittappa, Shanmuga Sumaiya, Zainal Abidin Process optimization of alumina extraction from aluminium dross via response surface methodology |
| title | Process optimization of alumina extraction from aluminium dross via response surface methodology |
| title_full | Process optimization of alumina extraction from aluminium dross via response surface methodology |
| title_fullStr | Process optimization of alumina extraction from aluminium dross via response surface methodology |
| title_full_unstemmed | Process optimization of alumina extraction from aluminium dross via response surface methodology |
| title_short | Process optimization of alumina extraction from aluminium dross via response surface methodology |
| title_sort | process optimization of alumina extraction from aluminium dross via response surface methodology |
| topic | TP Chemical technology |
| url | http://umpir.ump.edu.my/id/eprint/43851/1/Process%20Optimization%20of%20Alumina%20Extraction%20from%20Aluminium%20Dross%20Via%20Response%20Surface%20Methodology.pdf |
| work_keys_str_mv | AT mohamadjamilarifmansor processoptimizationofaluminaextractionfromaluminiumdrossviaresponsesurfacemethodology AT yeohyuanxin processoptimizationofaluminaextractionfromaluminiumdrossviaresponsesurfacemethodology AT sitinoramirarosli processoptimizationofaluminaextractionfromaluminiumdrossviaresponsesurfacemethodology AT noorintanshafinasmuhammad processoptimizationofaluminaextractionfromaluminiumdrossviaresponsesurfacemethodology AT kittappashanmuga processoptimizationofaluminaextractionfromaluminiumdrossviaresponsesurfacemethodology AT sumaiyazainalabidin processoptimizationofaluminaextractionfromaluminiumdrossviaresponsesurfacemethodology |