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Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization

Cilt: 9 Sayı: 1 14 Ocak 2026
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Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization

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.

Anahtar Kelimeler

Destekleyen Kurum

Büyükkayacık OSB Mahallesi Evrenköy Cad. No: 13/1 Selçuklu/Konya / Konya Teknik Ünivertesi

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.

Teşekkür

The authors would like to express their gratitude to Hidrokon Hydraulic Machinery Company for their support.

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Sayısal ve Hesaplamalı Matematik (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

14 Ocak 2026

Gönderilme Tarihi

24 Nisan 2025

Kabul Tarihi

25 Eylül 2025

Yayımlandığı Sayı

Yıl 2026 Cilt: 9 Sayı: 1

Kaynak Göster

APA
Şahin, Ö., Çatal, A., Taş, O., & Çoban, K. (2026). Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 9(1), 366-378. https://doi.org/10.47495/okufbed.1682836
AMA
1.Şahin Ö, Çatal A, Taş O, Çoban K. Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2026;9(1):366-378. doi:10.47495/okufbed.1682836
Chicago
Şahin, Ömer, Ahmet Çatal, Oğuzhan Taş, ve Kerem Çoban. 2026. “Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9 (1): 366-78. https://doi.org/10.47495/okufbed.1682836.
EndNote
Şahin Ö, Çatal A, Taş O, Çoban K (01 Ocak 2026) Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9 1 366–378.
IEEE
[1]Ö. Şahin, A. Çatal, O. Taş, ve K. Çoban, “Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization”, Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 9, sy 1, ss. 366–378, Oca. 2026, doi: 10.47495/okufbed.1682836.
ISNAD
Şahin, Ömer - Çatal, Ahmet - Taş, Oğuzhan - Çoban, Kerem. “Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 9/1 (01 Ocak 2026): 366-378. https://doi.org/10.47495/okufbed.1682836.
JAMA
1.Şahin Ö, Çatal A, Taş O, Çoban K. Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2026;9:366–378.
MLA
Şahin, Ömer, vd. “Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 9, sy 1, Ocak 2026, ss. 366-78, doi:10.47495/okufbed.1682836.
Vancouver
1.Ömer Şahin, Ahmet Çatal, Oğuzhan Taş, Kerem Çoban. Design Optimization of Knuckle Joint Crane Lifting Mechanism by Using Particle Swarm Optimization. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 01 Ocak 2026;9(1):366-78. doi:10.47495/okufbed.1682836

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