Development of a chopper with performance optimization for areca nut frond using response surface methodology
The chopper's performance is affected by the moisture content level of the material being chopped and the speed of the machine's rotation. This research aims to develop a chopper for an areca nut frond with performance optimization using RSM. RSM was utilized to assess the effect of areca...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023004589 |
| _version_ | 1827815373066469376 |
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| author | Ramayanty Bulan Mustaqimah Nunik Destria Arianti Azwar Yunus Akhyar Ibrahim Agustami Sitorus |
| author_facet | Ramayanty Bulan Mustaqimah Nunik Destria Arianti Azwar Yunus Akhyar Ibrahim Agustami Sitorus |
| author_sort | Ramayanty Bulan |
| collection | DOAJ |
| description | The chopper's performance is affected by the moisture content level of the material being chopped and the speed of the machine's rotation. This research aims to develop a chopper for an areca nut frond with performance optimization using RSM. RSM was utilized to assess the effect of areca nut frond moisture content (50.50 – 73.50%, w.b.) and machine rotation speed (1000 – 1600 rpm) on capacity, efficiency, chopping width, chopping length, and fuel consumption reactions. Next, the desirability formula is used to discover the moisture content and the machine rotation speed to maximize capacity and efficiency while minimizing losses. The optimum moisture content of 73.50% and machine rotation speed of 1600 rpm was performed in the highest capacity of 126.46 kg/hr at more increased efficiency (81.1%) and minimum chopping width and length (2.4 mm, 21.51 mm) and lower fuel consumption (0.91 ml). These findings showed that an appropriate machine performance could be completed by utilizing the moisture content of the areca nut frond and the machine's rotation speed. |
| first_indexed | 2024-03-12T00:00:11Z |
| format | Article |
| id | doaj.art-805ef7f688204248b1523f24a44ff6c4 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-03-12T00:00:11Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-805ef7f688204248b1523f24a44ff6c42023-09-18T04:30:46ZengElsevierResults in Engineering2590-12302023-09-0119101331Development of a chopper with performance optimization for areca nut frond using response surface methodologyRamayanty Bulan0 Mustaqimah1Nunik Destria Arianti2Azwar Yunus3Akhyar Ibrahim4Agustami Sitorus5Department of Agricultural Engineering, Faculty of Agriculture, Syiah Kuala University, Banda Aceh, 2311, Indonesia; Corresponding author.Department of Agricultural Engineering, Faculty of Agriculture, Syiah Kuala University, Banda Aceh, 2311, IndonesiaDepartment of Information System, Nusa Putra University, Sukabumi, 43152, IndonesiaDepartment of Mechanical Engineering, Politeknik Negeri Lhokseumawe, Lhokseumawe, 24301, IndonesiaDepartment of Mechanical Engineering, Politeknik Negeri Lhokseumawe, Lhokseumawe, 24301, IndonesiaResearch Centre for Appropriate Technology, National Research and Innovation Agency (BRIN), Subang, 41213, Indonesia; Department of Agricultural Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, 10520, ThailandThe chopper's performance is affected by the moisture content level of the material being chopped and the speed of the machine's rotation. This research aims to develop a chopper for an areca nut frond with performance optimization using RSM. RSM was utilized to assess the effect of areca nut frond moisture content (50.50 – 73.50%, w.b.) and machine rotation speed (1000 – 1600 rpm) on capacity, efficiency, chopping width, chopping length, and fuel consumption reactions. Next, the desirability formula is used to discover the moisture content and the machine rotation speed to maximize capacity and efficiency while minimizing losses. The optimum moisture content of 73.50% and machine rotation speed of 1600 rpm was performed in the highest capacity of 126.46 kg/hr at more increased efficiency (81.1%) and minimum chopping width and length (2.4 mm, 21.51 mm) and lower fuel consumption (0.91 ml). These findings showed that an appropriate machine performance could be completed by utilizing the moisture content of the areca nut frond and the machine's rotation speed.http://www.sciencedirect.com/science/article/pii/S2590123023004589AgriculturalAppropriate technologyAreca nutFrondMachinery |
| spellingShingle | Ramayanty Bulan Mustaqimah Nunik Destria Arianti Azwar Yunus Akhyar Ibrahim Agustami Sitorus Development of a chopper with performance optimization for areca nut frond using response surface methodology Results in Engineering Agricultural Appropriate technology Areca nut Frond Machinery |
| title | Development of a chopper with performance optimization for areca nut frond using response surface methodology |
| title_full | Development of a chopper with performance optimization for areca nut frond using response surface methodology |
| title_fullStr | Development of a chopper with performance optimization for areca nut frond using response surface methodology |
| title_full_unstemmed | Development of a chopper with performance optimization for areca nut frond using response surface methodology |
| title_short | Development of a chopper with performance optimization for areca nut frond using response surface methodology |
| title_sort | development of a chopper with performance optimization for areca nut frond using response surface methodology |
| topic | Agricultural Appropriate technology Areca nut Frond Machinery |
| url | http://www.sciencedirect.com/science/article/pii/S2590123023004589 |
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