Parçacık Sürü Optimizasyonu ile Mafsallı Bomlu Vinçlerin Kaldırma Mekanizmasının Optimizasyonu
Yıl 2026,
Cilt: 9 Sayı: 1, 366 - 378, 14.01.2026
Ömer Şahin
,
Ahmet Çatal
Oğuzhan Taş
,
Kerem Çoban
Öz
Mobil vinçler, ağır yükleri kaldırmak ve taşımak için tasarlanmış özel makinelerdir. Tekerlekli veya paletli bir şasiye sahip olabilirler ve inşaat, ağır sanayi, enerji ve denizcilik gibi sektörlerde yaygın olarak kullanılmaktadırlar. Bu vinçler, uzatılabilir kollar ve kaldırma ekipmanları kullanarak hidrolik sistemler ve mekanik kuvvetler aracılığıyla yükleri yüksek veya dar alanlardan kaldırır. Verimli bir çalışma, ağırlık ve kapasitenin optimize edilmesine bağlıdır; aşırı yükler veya dinamik kuvvetler güvenlik risklerine veya mekanik arızalara yol açabilir. Bu araştırma, parçacık sürü optimizasyon yöntemi kullanarak bir mafsallı bomlu vincin kaldırma mekanizmasının boyutlarını optimize etmeye, moment kolunu maksimize etmeye ve ivmeyi minimize etmeye odaklanmaktadır.
Kaynakça
-
Abid M., Akmal MH., Wajid HA. Design optimization of box type girder of an overhead crane. Transactions of Mechanical Engineering 2015; 39(M1): 101–112.
-
Arumugam MS., Rao MVC., Tan AWC. A novel and effective particle swarm optimization-like algorithm with extrapolation technique. Applied Soft Computing 2009; 9: 308–320.
-
Bagheri M., Zhu SP., Ben Seghier MEA., Keshtegar B., Trung NT. Hybrid intelligent method for fuzzy reliability analysis of corroded X100 steel pipelines. Engineering Computations 2021; 37: 2559–2573.
-
Belot G. Absolutely no free lunches!. Theoretical Computer Science 2020; 845: 159–180.
-
Chen Z., Li T., Xue X., Zhou Y., Jing S. Fatigue reliability analysis and optimization of vibrator baseplate based on fuzzy comprehensive evaluation method. Engineering Failure Analysis 2021; 127: 105357.
-
Clerc M. The swarm and the queen: Towards the deterministic and adaptive particle swarm optimization. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 6–9 July 1999, pages 1951–1957, IEEE, Washington, DC, USA.
-
Dan ZXW., Yao-Hui W. Improved optimization design of four-linkage mechanism in hydraulic support. Coal Mine Machinery 2009; 1–3.
-
Dawood T., Elwakil E., Novoa HM., Delgado JFG. Soft computing for modeling pipeline risk index under uncertainty. Engineering Failure Analysis 2020; 117: 104949.
-
Dong-yun W., Guan C. Optimal control for a parallel hybrid hydraulic excavator using particle swarm optimization. Advances in Mechanical Engineering 2013; Article ID 831564.
-
Dui H., Song J., Zhang YA. Reliability and service life analysis of airbag systems. Mathematics 2023; 11: 434.
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Erden A. Computer automated access to the ‘F.E.M. rules’ for crane design. Anadolu University Journal of Science and Technology 2002; 3(1): 115–130.
-
Fang J., Gao Y., Sun G., Xu C., Li Q. Multiobjective robust design optimization of fatigue life for a truck cab. Reliability Engineering & System Safety 2015; 135: 1–8.
-
Guo J., He H., Sun C. Analysis of the performance of aerial work platform working device based on virtual prototype and finite element method. CUE2016- Applied Energy Symposium and Forum: Low Carbon Cities & Urban Energy Systems, Energy Procedia, 2016, 104: 568–573.
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Jianguo W., Bo Q., Wenxing Z., Bin Y. Hydraulic support four-bar linkage optimized design based on particle swarm optimization. 2012 International Conference on Industrial Control and Electronics Engineering, 2012; IEEE, China.
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Kennedy J., Eberhart R. Particle swarm optimization. IEEE International Conference on Neural Networks, 27 November–01 December 1995, vol. 4, pages 1942–1948, IEEE, Perth, WA, Australia.
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Li W., Gao L., Xiao M. Multidisciplinary robust design optimization under parameter and model uncertainties. Engineering Optimization 2020; 52: 426–445.
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Mladenović P., Todorović M., Zdravković N., Marković G. Cross section optimization of an auto crane articulated boom using metaheuristic optimization algorithms. Proceedings of the XXV International Conference MHCL, 18–19 September 2024, Wien, Austria.
-
Moravec P., Rudolf P. Application of a particle swarm optimization for shape optimization in hydraulic machinery. EPJ Web of Conferences, 12 May 2017, 143: 02076.
-
Naka S., Genji T., Yura T., Fukuyama Y. A hybrid particle swarm optimization for distribution state estimation. IEEE Transactions on Power Systems 2003; 18: 60–68.
-
Oblak M., Harl B., Butinar B. Optimal design of hydraulic support. Structural and Multidisciplinary Optimization 2000; 20(1): 76–82.
-
Plotnikov L. Preparation and analysis of experimental findings on the thermal and mechanical characteristics of pulsating gas flows in the intake system of a piston engine for modelling and machine learning. Mathematics 2023; 11: 1967.
-
Prebil I., Kragna S., Ciglarič I. Synthesis of four-bar mechanism in a hydraulic support using a global optimization algorithm. Structural and Multidisciplinary Optimization 2002; 24(3): 246–251.
-
Ratnaweera A., Halgamuge SK. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficient. IEEE Transactions on Evolutionary Computation 2004; 8: 240–255.
-
Shi Y., Eberhart RC. A modified particle swarm optimizer. IEEE International Conference on Evolutionary Computation, 4–9 May 1998, pages 69–73 Anchorage, Alaska, USA.
-
Stephen JDG., Banerjee A., Lahiri A., Mehta I. Optimization of cross section of mobile crane boom using lagrange multiplier’s method. IOP Conference Series: Materials Science and Engineering 2018; 402.
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Sun G., Zhang H., Fang J., Li G., Li Q. A new multi-objective discrete robust optimization algorithm for engineering design. Applied Mathematical Modelling 2018; 53: 602–621.
-
Tan Y., Zhan C., Pi Y., Zhang C., Song J., Chen Y., Golmohammadi AM. A hybrid algorithm based on social engineering and artificial neural network for fault warning detection in hydraulic turbines. Mathematics 2023; 11: 2274.
-
Volianiuk VO., Gorbatyuk I., Mishchuk DO. The inertial loads of a telescopic boom of a truck crane. Common Problems of Automobile Transport, Automobile Transport 2021; 49: 54–62.
-
Wolpert DH., Macready WG. No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation 1997; 1(1): 67–82.
-
Wu J., Wu D. Integrated design of an active heave compensation crane with hydrostatic secondary control. Oceans 2018, pages 409–415 MTS/IEEE Charleston, USA.
-
Xian J., Su C. Stochastic optimization of uncertain viscous dampers for energy-dissipation structures under random seismic excitations. Mechanical Systems and Signal Processing 2022; 164: 108208.
-
Xu X., Chen X., Liu Z., Yang J., Xu Y., Zhang Y., Gao Y. Multi-objective reliability-based design optimization for the reducer housing of electric vehicles. Engineering Optimization 2021; 1–17.
-
Xu X., Chen X., Liu Z., Xu Y., Zhang Y. Reliability-based design for lightweight vehicle structures with uncertain manufacturing accuracy. Applied Mathematical Modelling 2021; 95: 22–37.
-
Xue Y., Deng Y. Extending set measures to orthopair fuzzy sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2022; 30: 63–91.
-
Ye TL., Li M., Liu XL. Optimal design of four-bar mechanism in hydraulic support. Coal Mine Machinery 2009; 37–39.
-
Yuan R., Tang M., Wang H., Li H. A reliability analysis method of accelerated performance degradation based on Bayesian strategy. IEEE Access 2019; 7: 169047–169054.
-
Zhang D., Zhang J., Yang M., Wang R., Wu Z. An enhanced finite step length method for structural reliability analysis and reliability-based design optimization. Structural and Multidisciplinary Optimization 2022; 65: 231.
-
Zdravković N., Gašić M., Savković M., Marković G. Load analysis of the articulating boom sections of the mobile elevating work platform in relation to the operator basket position. 10th International Conference RaDMI, 16–19 September 2010, Donji Milanovac, Serbia.
-
Zdravković N., Petković Z., Gašić M., Savković M. Research of deflection–payload dependence of the auto crane articulated boom. Proceedings of the XX International Conference MHCL’12, 2012, pages 101–106, Belgrade Serbia.
-
Zhu SP., Keshtegar B., Bagheri M., Hao P., Trung NT. Novel hybrid robust method for uncertain reliability analysis using finite conjugate map. Computer Methods in Applied Mechanics and Engineering 2020; 371: 113309.
Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization
Yıl 2026,
Cilt: 9 Sayı: 1, 366 - 378, 14.01.2026
Ömer Şahin
,
Ahmet Çatal
Oğuzhan Taş
,
Kerem Çoban
Öz
Mobile cranes are specialized machines designed for lifting and moving heavy loads. They feature either a wheeled or tracked chassis and are widely used in industries such as construction, heavy manufacturing, energy, and maritime operations. These cranes utilize hydraulic systems and mechanical forces to lift objects from elevated or confined spaces employing extended arms and lifting attachments. Efficient operation depends on optimizing weight and capacity, as excessive loads or dynamic forces can lead to safety risks or mechanical failures. This research focuses on optimizing the dimensions of a knuckle joint boom crane's lifting mechanism to maximize the moment arm and minimize acceleration, employing the particle swarm optimization method.
Etik Beyan
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Destekleyen Kurum
Büyükkayacık OSB Mahallesi Evrenköy Cad. No: 13/1 Selçuklu/Konya / Konya Teknik Ünivertesi
Teşekkür
The authors would like to express their gratitude to Hidrokon Hydraulic Machinery Company for their support.
Kaynakça
-
Abid M., Akmal MH., Wajid HA. Design optimization of box type girder of an overhead crane. Transactions of Mechanical Engineering 2015; 39(M1): 101–112.
-
Arumugam MS., Rao MVC., Tan AWC. A novel and effective particle swarm optimization-like algorithm with extrapolation technique. Applied Soft Computing 2009; 9: 308–320.
-
Bagheri M., Zhu SP., Ben Seghier MEA., Keshtegar B., Trung NT. Hybrid intelligent method for fuzzy reliability analysis of corroded X100 steel pipelines. Engineering Computations 2021; 37: 2559–2573.
-
Belot G. Absolutely no free lunches!. Theoretical Computer Science 2020; 845: 159–180.
-
Chen Z., Li T., Xue X., Zhou Y., Jing S. Fatigue reliability analysis and optimization of vibrator baseplate based on fuzzy comprehensive evaluation method. Engineering Failure Analysis 2021; 127: 105357.
-
Clerc M. The swarm and the queen: Towards the deterministic and adaptive particle swarm optimization. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 6–9 July 1999, pages 1951–1957, IEEE, Washington, DC, USA.
-
Dan ZXW., Yao-Hui W. Improved optimization design of four-linkage mechanism in hydraulic support. Coal Mine Machinery 2009; 1–3.
-
Dawood T., Elwakil E., Novoa HM., Delgado JFG. Soft computing for modeling pipeline risk index under uncertainty. Engineering Failure Analysis 2020; 117: 104949.
-
Dong-yun W., Guan C. Optimal control for a parallel hybrid hydraulic excavator using particle swarm optimization. Advances in Mechanical Engineering 2013; Article ID 831564.
-
Dui H., Song J., Zhang YA. Reliability and service life analysis of airbag systems. Mathematics 2023; 11: 434.
-
Erden A. Computer automated access to the ‘F.E.M. rules’ for crane design. Anadolu University Journal of Science and Technology 2002; 3(1): 115–130.
-
Fang J., Gao Y., Sun G., Xu C., Li Q. Multiobjective robust design optimization of fatigue life for a truck cab. Reliability Engineering & System Safety 2015; 135: 1–8.
-
Guo J., He H., Sun C. Analysis of the performance of aerial work platform working device based on virtual prototype and finite element method. CUE2016- Applied Energy Symposium and Forum: Low Carbon Cities & Urban Energy Systems, Energy Procedia, 2016, 104: 568–573.
-
Jianguo W., Bo Q., Wenxing Z., Bin Y. Hydraulic support four-bar linkage optimized design based on particle swarm optimization. 2012 International Conference on Industrial Control and Electronics Engineering, 2012; IEEE, China.
-
Kennedy J., Eberhart R. Particle swarm optimization. IEEE International Conference on Neural Networks, 27 November–01 December 1995, vol. 4, pages 1942–1948, IEEE, Perth, WA, Australia.
-
Li W., Gao L., Xiao M. Multidisciplinary robust design optimization under parameter and model uncertainties. Engineering Optimization 2020; 52: 426–445.
-
Mladenović P., Todorović M., Zdravković N., Marković G. Cross section optimization of an auto crane articulated boom using metaheuristic optimization algorithms. Proceedings of the XXV International Conference MHCL, 18–19 September 2024, Wien, Austria.
-
Moravec P., Rudolf P. Application of a particle swarm optimization for shape optimization in hydraulic machinery. EPJ Web of Conferences, 12 May 2017, 143: 02076.
-
Naka S., Genji T., Yura T., Fukuyama Y. A hybrid particle swarm optimization for distribution state estimation. IEEE Transactions on Power Systems 2003; 18: 60–68.
-
Oblak M., Harl B., Butinar B. Optimal design of hydraulic support. Structural and Multidisciplinary Optimization 2000; 20(1): 76–82.
-
Plotnikov L. Preparation and analysis of experimental findings on the thermal and mechanical characteristics of pulsating gas flows in the intake system of a piston engine for modelling and machine learning. Mathematics 2023; 11: 1967.
-
Prebil I., Kragna S., Ciglarič I. Synthesis of four-bar mechanism in a hydraulic support using a global optimization algorithm. Structural and Multidisciplinary Optimization 2002; 24(3): 246–251.
-
Ratnaweera A., Halgamuge SK. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficient. IEEE Transactions on Evolutionary Computation 2004; 8: 240–255.
-
Shi Y., Eberhart RC. A modified particle swarm optimizer. IEEE International Conference on Evolutionary Computation, 4–9 May 1998, pages 69–73 Anchorage, Alaska, USA.
-
Stephen JDG., Banerjee A., Lahiri A., Mehta I. Optimization of cross section of mobile crane boom using lagrange multiplier’s method. IOP Conference Series: Materials Science and Engineering 2018; 402.
-
Sun G., Zhang H., Fang J., Li G., Li Q. A new multi-objective discrete robust optimization algorithm for engineering design. Applied Mathematical Modelling 2018; 53: 602–621.
-
Tan Y., Zhan C., Pi Y., Zhang C., Song J., Chen Y., Golmohammadi AM. A hybrid algorithm based on social engineering and artificial neural network for fault warning detection in hydraulic turbines. Mathematics 2023; 11: 2274.
-
Volianiuk VO., Gorbatyuk I., Mishchuk DO. The inertial loads of a telescopic boom of a truck crane. Common Problems of Automobile Transport, Automobile Transport 2021; 49: 54–62.
-
Wolpert DH., Macready WG. No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation 1997; 1(1): 67–82.
-
Wu J., Wu D. Integrated design of an active heave compensation crane with hydrostatic secondary control. Oceans 2018, pages 409–415 MTS/IEEE Charleston, USA.
-
Xian J., Su C. Stochastic optimization of uncertain viscous dampers for energy-dissipation structures under random seismic excitations. Mechanical Systems and Signal Processing 2022; 164: 108208.
-
Xu X., Chen X., Liu Z., Yang J., Xu Y., Zhang Y., Gao Y. Multi-objective reliability-based design optimization for the reducer housing of electric vehicles. Engineering Optimization 2021; 1–17.
-
Xu X., Chen X., Liu Z., Xu Y., Zhang Y. Reliability-based design for lightweight vehicle structures with uncertain manufacturing accuracy. Applied Mathematical Modelling 2021; 95: 22–37.
-
Xue Y., Deng Y. Extending set measures to orthopair fuzzy sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2022; 30: 63–91.
-
Ye TL., Li M., Liu XL. Optimal design of four-bar mechanism in hydraulic support. Coal Mine Machinery 2009; 37–39.
-
Yuan R., Tang M., Wang H., Li H. A reliability analysis method of accelerated performance degradation based on Bayesian strategy. IEEE Access 2019; 7: 169047–169054.
-
Zhang D., Zhang J., Yang M., Wang R., Wu Z. An enhanced finite step length method for structural reliability analysis and reliability-based design optimization. Structural and Multidisciplinary Optimization 2022; 65: 231.
-
Zdravković N., Gašić M., Savković M., Marković G. Load analysis of the articulating boom sections of the mobile elevating work platform in relation to the operator basket position. 10th International Conference RaDMI, 16–19 September 2010, Donji Milanovac, Serbia.
-
Zdravković N., Petković Z., Gašić M., Savković M. Research of deflection–payload dependence of the auto crane articulated boom. Proceedings of the XX International Conference MHCL’12, 2012, pages 101–106, Belgrade Serbia.
-
Zhu SP., Keshtegar B., Bagheri M., Hao P., Trung NT. Novel hybrid robust method for uncertain reliability analysis using finite conjugate map. Computer Methods in Applied Mechanics and Engineering 2020; 371: 113309.