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Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2026 / Cilt: 32 Sayı: 3

Reliability based particle swarm optimization for obtaining optimal dimensions of boom crane lifting mechanism

Vinç bom kaldırma mekanizmasının optimum boyutlarını elde etmek için güvenilirlik tabanlı parçacık sürü optimizasyonu

Ömer Sinan Şahin
Ahmet Çatal
Kerem Çoban
Oğuzhan Taş
Pages
423–429
Publication Date
2026-06-05
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results obtained, it was found that the lambda values for different operating modes are primarily influenced by the geometric parameter (ψ) and, to a lesser extent, by the cylinder speed (vc).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Articulated Mobile Cranes are specially designed systems intended for lifting and transporting loads of varying weights and dimensions.
📊
Key Findings & Data:Such variations can have significant impacts on both lifting capacity and operational speed.
💡
Conclusion & Impact:According to the results obtained, it was found that the lambda values for different operating modes are primarily influenced by the geometric parameter (ψ) and, to a lesser extent, by the cylinder speed (vc).
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Mafsallı Bomlu Vinç · Kaldırma Mekanizması · Güvenilirlik

Abstract

Articulated Mobile Cranes are specially designed systems intended for lifting and transporting loads of varying weights and dimensions. The physical dimensions of these systems may vary depending on their field of application and specific technical requirements. Such variations can have significant impacts on both lifting capacity and operational speed. Dimensional changes may lead to undesirable deviations within the safety limits established during the design phase. Therefore, in order to optimize the dimensions of these mechanisms, the statistical nature of manufacturing and measurement errors must be carefully assessed. In this study, the dimensional optimization of crane boom lifting mechanisms was performed based on reliability analysis by combining Monte Carlo Simulation with the Particle Swarm Optimization method to determine the optimal mechanism dimensions. According to the results obtained, it was found that the lambda values for different operating modes are primarily influenced by the geometric parameter (ψ) and, to a lesser extent, by the cylinder speed (vc). Depending on the selected parameters, the lambda value was observed to vary between 0.35 and 0.55.

Özet

Araç üstü mobil vinçler, farklı ağırlık ve boyutlardaki yükleri kaldırmak ve taşımak amacıyla özel olarak tasarlanmış sistemlerdir. Bu sistemlerin fiziksel boyutları, kullanım alanlarına ve farklı teknik isteklere bağlı olarak değişkenlik gösterebilir. Bu durum hem kaldırma kapasitesi üzerinde hem de hareket hızı üzerinde önemli etkiler yaratabilir. Boyutsal değişimler, tasarım aşamasında belirlenmiş güvenlik sınırları içerisinde istenmeyen sapmalara neden olabilir. Bu yüzden, bu mekanizmaların boyutlarını optimize etmek için üretim ve ölçüm hatalarının istatistiksel doğasının dikkatli biçimde değerlendirilmesi gerekir. Bu çalışmada, vinç bom kaldırma mekanizmalarının boyutsal optimizasyonu amacıyla Monte Carlo simülasyonu ile Parçacık Sürü Optimizasyonu yöntemi birlikte kullanılarak, mekanizmanın optimum boyutları güvenilirlik temelli olarak belirlenmiştir. Elde edilen sonuçlara göre, farklı çalışma modları için lambda değerlerinin, öncelikle geometri parametresinden (ψ) ve daha az ölçüde silindir hızından (vc) etkilendiği ve seçilen parametrelere göre lambda değerinin 0.35-0.55 arasında değiştiği tespit edilmiştir.

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Cite This Article

Şahin, Ö. S., Çatal, A., Çoban, K., Taş, O. (2026). Reliability based particle swarm optimization for obtaining optimal dimensions of boom crane lifting mechanism. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 32 Sayı: 3, 423–429. https://doi.org/10.5505/pajes.2025.27860

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