APPLICATION OF THE BEES ALGORTIHM UPON HYDRAULIC CYLINDER DESIGN AND OPTIMIZATION

Abstract

In this study, mass minimization of a simple double-acting hydraulic cylinder has been studied using The Bees Algorithm (BA) for a specific force and known material, considering the buckling and pressure constraints. A Hydraulic cylinder is a hydraulic actuator that creates linear movement by converting hydraulic energy back to a mechanical movement. Hydraulic-driven working machines are widespread in the industry today. Hydraulic cylinders are used in mobile applications such as container lifting devices, excavators, dump trucks, loaders, graders and dozers. Weight reduction in these cylinders plays a fundamental role in the performance of the machine in terms of lifting capacity, speed, costing, etc. The Bees Algorithm is a metaheuristic algorithm that mimics the natural foraging behavior of honey bees to find the optimum solutions. The advantages over other algorithms are its ability to search both locally and globally and being applicable for several optimization problems with the chance to be integrated with other algorithms. In this study, it is also aimed to determine the optimal parameters of the bees algorithm for minimum computation cost.

Keywords

• The Bees Algorithm
• Hydraulic Cylinder
• Mass Minimization
• Optimization

Hidrolik Silindir Tasarımı Ve Optimizasyonunda Arı Algoritmasının Uygulanması

Abstract

Bu çalışmada, belirli bir kuvvet ve bilinen bir malzeme için, basit bir çift etkili hidrolik silindirin kütle minimizasyonu, burkulma ve basınç kısıtlmaları da dikkate alınarak, Arı Algoritması kullanılarak incelenmiştir. Hidrolik silindir, hidrolik enerjiyi tekrar mekanik harekete dönüştürerek doğrusal hareket oluşturan bir hidrolik aktüatördür. Hidrolik tahrikli iş makineleri günümüzde endüstride oldukça yaygındır. Hidrolik silindirler; konteyner kaldırma cihazları, ekskavatörler, damperli kamyonlar, yükleyiciler, greyderler ve dozerler gibi mobil uygulamalarda kullanılmaktadır. Bu silindirlerdeki ağırlık azaltımı, kaldırma kapasitesi, hız, maliyet vb. açılardan makinenin performansında önemli bir rol oynar. Arı Algoritması, optimum çözümleri bulmak için bal arılarının doğal yiyecek arama davranışını taklit eden metasezgisel bir algoritmadır. Hem lokal hem de global arama yapabilmesi ve diğer algoritmalar ile entegre olabilme şansı, diğer algoritmalara göre avantajlarını oluşturur ve bu sayede birçok optimizasyon problemine uygulanabilir. Ayrıca bu çalışmada, minimum hesaplama maliyeti için Arı Algoritmasının optimum parametrelerinin belirlenmesi de amaçlanmıştır.

Keywords

• Arı Algoritması
• Hidrolik Silindir
• Kütle Minimizasyonu
• Optimizasyon
• The Bees Algorithm
• Hydraulic Cylinder
• Mass Minimization
• Optimization

References

1. Arif Şen, M., Tinkir, M., & Kalyoncu, M. (2018). Optimisation of a PID controller for a two-floor structure under earthquake excitation based on the bees algorithm. Journal of Low Frequency Noise, Vibration and Active Control, 37(1), 107-127.
2. Baronti, L., Castellani, M., & Pham, D. T. (2020). An analysis of the search mechanisms of the bees algorithm. Swarm and Evolutionary Computation, 59, 100746.
3. Baykasoglu, A. (2006). Applying multiple objective tabu search to continuous optimization problems with a simple neighbourhood strategy. International Journal for Numerical Methods in Engineering, 65(3), 406-424.
4. Beer, F. P., Johnston, E. R., DeWolf, J. T., & Mazurek, D. F. (2017). Statics and mechanics of materials. New York: McGraw-Hill Education.
5. Bilgic, H. H., Sen, M. A., & Kalyoncu, M. (2016). Tuning of LQR controller for an experimental inverted pendulum system based on The Bees Algorithm. Journal of Vibroengineering, 18(6), 3684-3694.
6. Dat, N. D., Anh, V. M., Quan, T. Q., Duc, P. T., & Duc, N. D. (2020). Nonlinear stability and optimization of thin nanocomposite multilayer organic solar cell using Bees Algorithm. Thin-Walled Structures, 149, 106520.
7. Dengiz, C. G., Şenel, M. C., Yıldızlı, K., & Koç, E. (2018). Design and analysis of scissor lifting system by using finite elements method. Universal Journal of Materials Science, 6(2), 58-63.
8. Fahmy, A., Kalyoncu, M., & Castellani, M. (2012). Automatic design of control systems for robot manipulators using the bees algorithm. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 226(4), 497-508.

9. Ghasemi, A. R., & Hajmohammad, M. H. (2017). Multi-objective optimization of laminated composite shells for minimum mass/cost and maximum buckling pressure with failure criteria under external hydrostatic pressure. Structural and Multidisciplinary Optimization, 55(3), 1051-1062.
10. İlgen, S., Durdu, A., Gülbahçe, E., Çakan, A., & Kalyoncu, M. (2022). The Bees Algorithm Approach to Determining SMC Controller Parameters for the Position Control of a SCARA Robot Manipulator. Avrupa Bilim ve Teknoloji Dergisi, (33), 267-273.
11. Muhammed Arif, Ş. (2014). İki Tekerlekli Robot İçin Bulanık Mantık Tabanlı Kontrolcü Tasarımı Ve Arı Algoritması Kullanarak Optimizasyonu. Selçuk Üniversitesi Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, 77s, Konya, Haziran.
12. Pham, D., & Ghanbarzadeh, A. (2007). Multi-objective optimisation using the bees algorithm. Paper presented at the 3rd International Virtual Conference on Intelligent Production Machines and Systems.
13. Pham, D., Ghanbarzadeh, A., Koc, E., Otri, S., Rahim, S., & Zaidi, M. (2005). The bees algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK.
14. Pham, D., & Kalyoncu, M. (2009). Optimisation of a fuzzy logic controller for a flexible single-link robot arm using the Bees Algorithm. Paper presented at the 2009 7th IEEE International Conference on Industrial Informatics.
15. Pham, D. T., Castellani, M., Sholedolu, M., & Ghanbarzadeh, A. (2008). The Bees Algorithm and Mechanical Design Optimisation. Paper presented at the ICINCO-ICSO.
16. Pham, D. T., Ghanbarzadeh, A., Koç, E., Otri, S., Rahim, S., & Zaidi, M. (2006). The bees algorithm—a novel tool for complex optimisation problems Intelligent production machines and systems (pp. 454-459): Elsevier.
17. Sen, M. A., & Kalyoncu, M. (2015). Optimisation of a PID controller for an inverted pendulum using The Bees Algorithm. In Applied Mechanics and Materials (Vol. 789, pp. 1039-1044). Trans Tech Publications Ltd.
18. Shah, U., & Upadhyay, G. Optimization of Hydraulic Cylinder Design used for container lifting device using Genetic Algorithm.
19. Shouran, M., Anayi, F., Packianather, M., & Habil, M. (2021). Load frequency control based on the bees algorithm for the great britain power system. Designs, 5(3), 50.
20. Solazzi, L., Buffoli, A., & Formicola, R. (2020). The Multi-Parametric Weight Optimization of a Hydraulic Actuator. Paper presented at the Actuators.
21. Unal, R. E., Guzel, M. H., Sen, M. A., Kose, F., & Kalyoncu, M. (2022). Investigation on the cost-effective optimal dimensions of a solar chimney with the Bees Algorithm. International Journal of Energy and Environmental Engineering, 1-11.
22. Xu, W., Tang, Q., Liu, J., Liu, Z., Zhou, Z., & Pham, D. T. (2020). Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing. Robotics and Computer-Integrated Manufacturing, 62, 101860.