Optimization of the Number of Cylinder Blades in Coffee Pulper Machine: Finite Element Analysis and Simple Additive Weighting Methods

Mochamad Rifki Syahriza, Dwi Djumhariyanto, Nasrul Ilminnafik, Mahros Darsin, Danang Yudistiro, Hari Arbiantara Basuki, Robertoes Koekoeh Koentjoro Wibowo, Ahmad Syuhri, Sumarji Sumarji

Abstract


The increasing interest in coffee in all circles means that coffee production and quality must always increase due to consumer demands. One way to maintain the quality of coffee beans is by breaking them down using a huller machine. This research aims to improve the optimization of coffee machines by modifying the cylinder blades of huller machines with variations of 3, 4, 5, and 7 cylinder blades in terms of static loading design and quality and production capacity of coffee bean breaking. The experiment was carried out using 400 rpm and breaking 10kg of dry coffee cherries every time the sample was taken. The research results show that the best sample collection is the variation of 3 cylindrical blades with the maximum stress and lowest deformation values of 6.67 MPa and 0.000737 mm. In terms of production quality, it shows that the best sampling was the three cylindrical blade variations with 50% whole and good coffee beans. In terms of production capacity, the most significant capacity was the seven cylindrical blade variations with a value of 294.11 kg/hour. Sampling from the four most optimal variations uses the SAW (Sample Additive Weighting) method. The most optimal result from the 4 test criteria, the variation of 3 cylindrical blades is the best because it has the highest score with a value of 0.9754.

Keywords


ANSYS, coffee huller machine, finite element method, huller machine blades, production capacity, production quality

Full Text:

PDF

References


Data Panda, “Coffee Production by Country 2024,” Nov. 2024. Available: https://www.datapandas.org/ranking/coffee-production-by-country.

Ditjenbun (Direktorat Jenderal Perkebunan), Statistics of Coffee Commodity, Jakarta, 2017.

M. Darsin, D. Djumhariyanto, R.K.K. Wibowo, H. Arbiantara Basuki, D. Yudistiro, and T. Lindriati, “Dual-function coffee skin peeling machine to improve the welfare of Sumbercandik coffee farmers jelbuk Jember,” Abdi Dosen, vol. 8, no. 8, pp. 358–68, Mar. 2024, [Online]. Available: http://pkm.uika-bogor.ac.id/index.php/ABDIDOS/issue/archive

H. Rahman, R. Abu, and R.D. Koto, “Planning and design of a coffee peeling machine with a capacity of 100 Kg/hour,” MOTIVECTION, vol. 3, no. 6, pp. 259–0, Oct. 2024, doi: 10.46574/motivection.v6i3.341.

R. Indrayani, D.M. Sumarta, and A.R. Hermawanto, “Coffee peeling machine design,” J Phys Conf Ser, vol. 1477, no. 5, p. 052051, Mar. 2020, doi: 10.1088/1742-6596/1477/5/052051.

E.A. Ajav and I.N. Mogekwu, “Development and assessment of coffea Arabica and coffea Canephorade-hulling machine,” AgricEngInt: CIGR Journal, vol. 17, no. 2, 2015, [Online]. Available: http://www.cigrjournal.org

J. K. Emmanuel, “Corrosion protection of mild steel in corrosive media, a shift from synthetic to natural corrosion inhibitors: a review,” Bull Natl Res Cent, vol. 48, no. 1, p. 26, Mar. 2024, doi: 10.1186/s42269-024-01181-7.

J. Karltun, K. Vogel, M. Bergstrand, and J. Eklund, “Maintaining knife sharpness in industrial meat cutting: A matter of knife or meat cutter ability,” Appl Ergon, vol. 56, pp. 92–100, Sep. 2016, doi: 10.1016/j.apergo.2016.03.010.

D. Yudistiro, M. Darsin, D. Djumhariyanto, R.K.K. Wibowo, H.A. Basuki, T. Lindriati et al., “Re-design the coffee peeling machine by combining the pulper and huller functions to improve the welfare of coffee farmers in Bondowoso Regency, Indonesia,” in Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023), Jember: Atlantic Press, Jun. 2024, pp. 196–200. doi: 10.2991/978-94-6463-445-7_21.

M.I.A.G. Syarif, D. Djumhariyanto, M. Darsin, D. Yudistiro, R.K.K. Wibowo, H. A. Basuki et al., “Strength analysis of coffee huller machine blade using finite element method,” AIP Conf. Proc., vol. 3176, no. 1, 2024, p. 030042. doi: 10.1063/5.0222478.

A. Andoko, P. Puspitasari, and A. Permanasari, “Analysis of strength of glass fibre composite leaf spring using finite element method,” Journal of Mechanical Engineering Science and Technology, vol. 1, no. 1, pp. 1–8, Mar. 2017, doi: 10.17977/um016v1i12017p001.

B.W. Lenggana and A. Nugroho, “Structural simulation of wheelchair ramp using finite element method,” Journal of Mechanical Engineering Science and Technology, vol. 8, no. 2, pp. 306–321, 2024, doi: 10.17977/um016v8i22024p306.

A.Y.A. Yusofe, H.C.A. Chee, S. Ramesh, M.Y. Ali, and Z. Ibrahim, “Design and engineering analysis of a coconut peeler machine,” AIP Conf. Proc. 2643, p. 050064, 2023, doi: 10.1063/5.0129406.

D.B. Sen, R.A. Maheshwari, D.K. Dash, M.K. Munde, and A.K. Sen, “Components in coffee, their concentrations, and methods of analysis,” in Coffee in Health and Disease Prevention, Elsevier, 2025, pp. 207–218. doi: 10.1016/B978-0-443-13868-3.00058-2.

E. Yusibani, P.L. Woodfield, A. Rahwanto, M.S. Surbakti, Rajibussalim, and Rahmi, “Physical and chemical properties of Indonesian coffee beans for different postharvest processing methods,” Journal of Engineering and Technological Sciences, vol. 55, no. 1, pp. 1–11, Mar. 2023, doi: 10.5614/j.eng.technol.sci.2023.55.1.1.

Z. Wang, X. Chen, T. Li, C. Gong, Y. Pang, and J. Liu, “Evaluating mesh quality with graph neural networks,” Eng Comput, vol. 38, no. 5, pp. 4663–4673, Oct. 2022, doi: 10.1007/s00366-022-01720-8.

J. Sprave and C. Drescher, “Evaluating the quality of finite element meshes with machine learning,” arXiv:2107.10507, Jul. 2021, doi: 10.48550/arXiv.2107.10507.

D. Nath, Ankit, D.R. Neog, and S.S. Gautam, “Application of machine learning and deep learning in finite element analysis: A comprehensive review,” Archives of Computational Methods in Engineering, vol. 31, no. 5, pp. 2945–2984, Jul. 2024, doi: 10.1007/s11831-024-10063-0.

T. Dibaba, R. Wirtu, and T. Dabi, “Development and performance evaluation of hand operated dry coffee dehulling machine for smallholders farmers,” Journal of Multidisciplinary Engineering Science and Technology, vol. 6, no. 1, pp. 9372-9378, 2019. Available: http://www.jmest.org/wp-content/uploads/JMESTN42352804.pdf

A. Awgichew and R. Nuguse, “Adaptation and performance evaluation of engine-driven coffee de-huller,” Middle East Journal of Applied Science & Technology, vol. 07, no. 01, pp. 104–114, 2024, doi: 10.46431/MEJAST.2024.7104.




DOI: http://dx.doi.org/10.17977/um016v8i22024p476

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Journal of Mechanical Engineering Science and Technology (JMEST)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

View My Stats