Metal Casting Furnace Design Development Using Computer Simulation
Metal foundries still rely heavily on crucible furnaces. The current furnace design, which is currently being used by the partner industry, has been found to be not properly designed and will result in a reduction in efficiency. CFD simulation will be used to find the optimal melting furnace design....
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Universitas Negeri Malang
2024-02-01
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Series: | Journal of Mechanical Engineering Science and Technology |
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Online Access: | https://journal2.um.ac.id/index.php/jmest/article/view/47575 |
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author | Ramadhan Wahyu Irianto Yanuar R.A. Pradana Suprayitno Suprayitno |
author_facet | Ramadhan Wahyu Irianto Yanuar R.A. Pradana Suprayitno Suprayitno |
author_sort | Ramadhan Wahyu Irianto |
collection | DOAJ |
description | Metal foundries still rely heavily on crucible furnaces. The current furnace design, which is currently being used by the partner industry, has been found to be not properly designed and will result in a reduction in efficiency. CFD simulation will be used to find the optimal melting furnace design. This research simulation consists of 3 stages: pre-processing, solving, and post-processing. There are two furnace geometries, cylindrical and hexagonal, while the burner location will be divided into 3 positions, namely P1, P2, and P3. The most optimal furnace design will be used as a basis for the verification testing process. The process of comparing the old and the new smelting furnace design is carried out to understand the performance and characteristics of each furnace. The simulation results for the average crucible temperature in the cylindrical furnace were obtained as follows: 288.5 ºC for the P1 burner, 306.2 ºC for the P2 burner, and 284.5 ºC for the P3 burner. Meanwhile, the simulation results show that the average crucible temperature value in the hexagonal furnace is 290.0 ºC for the P1 burner, 281.6 ºC for the P2 burner, and 237.8 ºC for the P3 burner. The verification testing process produced an average crucible temperature value of 237.5 ºC. Furthermore, the comparison test from the old and new furnace designs to melt 2.5 kg of aluminium at 680 ºC with the old furnace took approximately 30 minutes and 33 minutes with the new furnace. The new furnace produced much more uniform melting than the old furnace. |
format | Article |
id | doaj-art-318f300f9a1349559589d6d90296ea72 |
institution | Kabale University |
issn | 2580-0817 2580-2402 |
language | English |
publishDate | 2024-02-01 |
publisher | Universitas Negeri Malang |
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series | Journal of Mechanical Engineering Science and Technology |
spelling | doaj-art-318f300f9a1349559589d6d90296ea722025-02-04T00:25:57ZengUniversitas Negeri MalangJournal of Mechanical Engineering Science and Technology2580-08172580-24022024-02-018111410.17977/um016v8i12024p00111130Metal Casting Furnace Design Development Using Computer SimulationRamadhan Wahyu Irianto0Yanuar R.A. Pradana1Suprayitno Suprayitno2State University of MalangSchool of Mechanical and Materials Engineering, University College Dublin, Belfield, Dublin 4, IrelandGraduate Institute of Engineering Science and Technology, National Kaohsiung First University of Science and Technology, 1 University Rd, Yanchao District, Kaohsiung 824, Taiwan, R.O.CMetal foundries still rely heavily on crucible furnaces. The current furnace design, which is currently being used by the partner industry, has been found to be not properly designed and will result in a reduction in efficiency. CFD simulation will be used to find the optimal melting furnace design. This research simulation consists of 3 stages: pre-processing, solving, and post-processing. There are two furnace geometries, cylindrical and hexagonal, while the burner location will be divided into 3 positions, namely P1, P2, and P3. The most optimal furnace design will be used as a basis for the verification testing process. The process of comparing the old and the new smelting furnace design is carried out to understand the performance and characteristics of each furnace. The simulation results for the average crucible temperature in the cylindrical furnace were obtained as follows: 288.5 ºC for the P1 burner, 306.2 ºC for the P2 burner, and 284.5 ºC for the P3 burner. Meanwhile, the simulation results show that the average crucible temperature value in the hexagonal furnace is 290.0 ºC for the P1 burner, 281.6 ºC for the P2 burner, and 237.8 ºC for the P3 burner. The verification testing process produced an average crucible temperature value of 237.5 ºC. Furthermore, the comparison test from the old and new furnace designs to melt 2.5 kg of aluminium at 680 ºC with the old furnace took approximately 30 minutes and 33 minutes with the new furnace. The new furnace produced much more uniform melting than the old furnace.https://journal2.um.ac.id/index.php/jmest/article/view/47575computer simulation, crucible furnace, design development, metal casting |
spellingShingle | Ramadhan Wahyu Irianto Yanuar R.A. Pradana Suprayitno Suprayitno Metal Casting Furnace Design Development Using Computer Simulation Journal of Mechanical Engineering Science and Technology computer simulation, crucible furnace, design development, metal casting |
title | Metal Casting Furnace Design Development Using Computer Simulation |
title_full | Metal Casting Furnace Design Development Using Computer Simulation |
title_fullStr | Metal Casting Furnace Design Development Using Computer Simulation |
title_full_unstemmed | Metal Casting Furnace Design Development Using Computer Simulation |
title_short | Metal Casting Furnace Design Development Using Computer Simulation |
title_sort | metal casting furnace design development using computer simulation |
topic | computer simulation, crucible furnace, design development, metal casting |
url | https://journal2.um.ac.id/index.php/jmest/article/view/47575 |
work_keys_str_mv | AT ramadhanwahyuirianto metalcastingfurnacedesigndevelopmentusingcomputersimulation AT yanuarrapradana metalcastingfurnacedesigndevelopmentusingcomputersimulation AT suprayitnosuprayitno metalcastingfurnacedesigndevelopmentusingcomputersimulation |