Multi-Objective Optimization of a Coconut Dehusking Machine Using Response Surface Method (RSM)
DOI:
https://doi.org/10.54536/jsere.v1i1.4905Keywords:
Coconut Dehusking, Efficiency, Machine Design, Multi-Objective Optimization, Response Surface MethodologyAbstract
Coconut dehusking is a labour-intensive process, necessitating efficient mechanized solutions to enhance productivity and reduce physical strain, this study aimed to optimize a coconut dehusking machine using Design Expert v13.0, a labour-intensive process. A CAD-based model was developed and simulated, and mathematical models were derived using dimensional analysis. The I-Optimal custom design of Response Surface Methodology (RSM) was validated through 22 experimental runs. The results showed strong agreement between the experimental and predicted dehusking efficiencies. The machine achieved a maximum efficiency of 89.5% and a grating capacity of 189 nuts/hr. In comparison, the I-Optimal model predicted an optimal efficiency of 85.7% and a capacity of 179 nuts/hr at 121.014 rpm, spike angle of 57°, and spike length of 12.7 mm. Frame deformation under maximum load was minimal at 0.05289 mm. The RSM-based approach effectively optimized the coconut dehusking machine, supporting the design of efficient, durable dehusking systems for agricultural applications.
References
Al-Sabaeei, A. M., Napiah, M., Al Salaheen, M., Badri, R. M., Noura, S., Khan, M. I., Al-Bahr, T. M., & Alzubi, K. (2022). Optimizing the Physical Properties of Waste Denim Fiber-Modified Rubberized Bitumen Through Response Surface Methodology. IOP Conference Series: Earth and Environmental Science, 971(1), 012014. https://iopscience.iop.org/article/10.1088/1755-1315/971/1/012014/meta
Deo, M. M., Mathew, A. C., Manikantan, M. R., & Hebbar, K. B. (2020). Performance Evaluation of Power Operated Coconut de-shelling Machine for different Varieties of Coconut. Journal of AgriSearch, 7(03). https://doi.org/10.21921/jas.v7i03.18690
Erhimona, G. O., Onyenanu, I. U., & Utu, O. (2023). Optimization of a locally fabricated palm fruit digester using response surface method (RSM). International Journal of Engineering Research & Technology, 12(7). https://doi.org/10.17577/IJERTV12IS070009
Food and Agriculture Organization of the United Nations (FAO). (2025). FAOSTAT. https://www.fao.org/faostat/en/#home
Goos, P., Jones, B., & Syafitri, U. (2016). I-optimal design of mixture experiments. Journal of the American Statistical Association, 111(514), 899–911. https://doi.org/10.1080/01621459.2015.1136632
Idogho, B. O., Onyenanu, I. U., Owuama, K. C., Ndubisi, A. C., & Ilochonwu, C. E. (2025). Optimization of a sustainable virgin coconut oil extraction machine for rural communities. Journal of Food Technology & Nutrition Sciences, 7(215), 2–8. https://doi.org/10.47363/JFTNS/2025(7)215
Machado, C. A., Esteves, A. F., & Pires, J. C. M. (2022). Optimization of microalgal harvesting with inorganic and organic flocculants using factorial design of experiments. Processes, 10(6), Article 6. https://doi.org/10.3390/pr10061124
Madukasi, A., Onyenanu, I., Oghenekaro, P., Nzenwa, C., & Madu, K. (2025). Optimization of the Drying Parameters for Plantain Chips using a Locally Made Tray Dryer: A Study on Drying Efficiency and Drying Rate Modeling using RSM. Journal of Food Technology & Nutrition Sciences, 7, 1–10. https://doi.org/10.47363/JFTNS/2025(7)206
Maheswari, C., Ramya, A. S., Priya, B. M., Sudhahar, S., Prabhu Raj, B., Lokesh, B., & Ramani, G. (2021). Analysis and optimization of the biodegradable plate making process parameters using RSM-based Box–Behnken Design method. Journal of Material Cycles and Waste Management, 23(6), 2255–2265. https://doi.org/10.1007/s10163-021-01290-9
Muthuveni, M., Deebika, S., Boopathy, T., Nithya, R., & Thirunavukkarasu, A. (2024). I-optimal mixture design and artificial neural network for the sustainable production of vermicompost. Biomass Conversion and Biorefinery, 14(9), 10147–10160. https://doi.org/10.1007/s13399-022-02962-8
Naliapara, V. A., Gojiya, D. K., Dobariya, U. D., & Vyas, D. M. (2022). The Technological Developments in Power Operated Coconut (Cocos nucifera L.) Dehusking and Deshelling Machines: A Review. Current Journal of Applied Science and Technology, 46–62. https://doi.org/10.9734/cjast/2022/v41i2431770
Naliapara, V. A., Sejani, V. M., & Joshi, N. U. (2023). Design of dry coconut (Cocos nucifera L.) dehusking and deshelling machine components using SolidWorks simulation. The Journal of Applied Horticulture, 25(01), 104–109. https://doi.org/10.37855/jah.2023.v25i01.18
Navaneethan, R., Prasath, N. N., Pradeep, G., Santhana Prabhu, K., & Palanivelrajan, A. R. (2020). Review on coconut dehusking and cutting machine. International Journal of Engineering Applied Sciences and Technology, 4(10), 348–351. https://doi.org/10.33564/IJEAST.2020.v04i10.063
NelsonEkanem, E., Alonge, A., George, E., & Ossom, I. (2020). Optimization of mechanically expressed coconut (Cocos Nucifera L.) oil using response surface methodology. The International Journal of Engineering and Science, 9(6), 1-9. https://doi.org/10.9790/1813-0906010109www.theijes.com
Oboh, O. (2018). Optimization of plantain drying process using response surface methodology. https://www.academia.edu/72494252/Optimization_of_plantain_drying_process_using_response_surface_methodology
Olorunfemi, B. J., Olumilua, A. E., Kayode, S. E., & Arounsoro, A. A. (2022). Development of a Modified Dehusking Machine for Local Varieties of Coconut. Covenant Journal of Engineering Technology, 6(1). Retrieved from https://journals.covenantuniversity.edu.ng/index.php/cjet/article/view/3040
Onyenanu, I. U., & Uwadibe, U. O. (2024). Development of a cost-effective coconut dehusking machine. International Journal of Innovative Science and Research Technology (IJISRT), 9(4), 1682–1690. https://doi.org/10.38124/ijisrt/IJISRT24APR2283
Onyenanu, I. U., Ogbogu, M. C., & Nwadiuto, C. J. (2024). Performance optimization of an improved biomass gasifier charcoal stove using response surface method (RSM). International Journal of Engineering Research & Technology, 13(8). https://doi.org/10.17577/IJERTV13IS080031
Onyenanu, I. U., Ande, J. I., & Ezechukwu, V. C. (2024). Enhancing Energy Efficiency in Locally Developed Steam Boilers: A Response Surface Methodology Approach. Research Journal in Civil, Industrial and Mechanical Engineering, 1(1), 58–72. https://doi.org/10.61424/rjcime.v1i1.153
Onyenanu, I. U., Madu, K. E., Nzenwa, C. C., & Madukasi, A. H. (2025). Advancing Coconut Dehusking Technology: A Dimensional Analysis-Based Parametric Model for Local Production. Journal of Engineering and Applied Sciences Technology, 7, 1–5. https://doi.org/10.47363/JEAST/2025(7)305
Ovat, F. A., & Odey, S. O. (2019). Development and performance evaluation of a coconut dehusking machine. The International Journal of Engineering and Science (IJES), 8(10), 15–23. https://doi.org/10.9790/1813-0810021523
Özkan Karabacak, A., Süfer, Ö., & Pandiselvam, R. (2024). Coconut husk: A sustainable solution for eco-friendly packaging applications. Environment, Development and Sustainability, 26(12), 30379–30408. https://doi.org/10.1007/s10668-024-05154-8
Pascua, A. M., Pascua, M. L. L., & Peralta, E. K. (2018). Performance Characteristics of a Coconut Dehusking Machine. International Journal of Advances in Agricultural Science and Technology, 5(2), 1–14.
Sakhare, V. P., Mishra, P., Babu, P. S., & Reddy, M. V. (2024). A study and experimental analysis of the coconut husk extracting tool using generative design and topology optimization techniques. International Journal on Interactive Design and Manufacturing (IJIDeM), 18(5), 2639–2651. https://doi.org/10.1007/s12008-023-01240-9
Utu, O., Atanmo, P., Onyenanu, I., Owauma, K., & Olubambi, P. (2024). Optimization of the Thermokinetic Method for the Control of Weld Decay in AISI 304L and AISI 316L Stainless Steel Weldment. International Journal of Innovative Science and Research Technology (IJISRT), 1203–1213. https://doi.org/10.38124/ijisrt/IJISRT24OCT336
Yunusa, S. U., Mensah, E., Preko, K., Narra, S., Saleh, A., Dalha, I. B., & Abdulsalam, M. (2025). Optimizing selected quality metrics of rice husk briquettes: A response surface methodology approach. Biomass Conversion and Biorefinery, 15(7), 10809–10827. https://doi.org/10.1007/s13399-024-05906-6
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