Scopus
YÖKSİS DOI Eşleşti
SJR Q2
Design optimization of tubular linear voice coil motors using swarm intelligence algorithms
Engineering Optimization · Ocak 2022
YÖKSİS Kayıtları
Design optimization of tubular linear voice coil motors using swarm intelligence algorithms
Engineering Optimization · 2022 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Design optimization of tubular linear voice coil motors using swarm intelligence algorithms
ENGINEERING OPTIMIZATION · 2022 SCI-Expanded
Doç. Dr. MEHMET AKİF ŞAHMAN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Design optimization of tubular linear voice coil motors using swarm intelligence algorithms
2022 ISSN: 0305-215X SCI-Expanded Q2
Doç. Dr. MEHMET AKİF ŞAHMAN →
Design optimization of tubular linear voice coil motors using swarm intelligence algorithms
2022 ISSN: 0305-215X SCI-Expanded Q2
Prof. Dr. MEHMET ÇUNKAŞ →
Makale Bilgileri
Dergi
Engineering Optimization
ISSN0305215X
Yayın TarihiOcak 2022
Cilt / Sayfa54 · 1963-1980
Scopus ID2-s2.0-85113694989
Özet
This article presents design optimization based on swarm intelligence algorithms of a tubular linear voice coil motor (TLVCM). A magnetic equivalent circuit model is used, allowing a faster and more accurate evaluation of the initial design of the TLVCM. The design requirements are determined, and an initial design is formed based on the design requirements. The TLVCM design is considered a constrained optimization problem with complex linear and nonlinear constraints. The optimization process based on swarm intelligence algorithms is performed to find the optimal solution and improve the performance of the TLVCM. Finally, finite element analysis is used again to verify the optimized results, and different design outputs are compared. According to numerical experimental results, the average thrust is increased by 8.3% and the thrust ripple is reduced by 35.6%. Thus, a highly effective motor design meeting efficiency and performance requirements is achieved.
Yazarlar (3)
1
Mehmet Akif Şahman
2
Mümtaz Mutluer
3
Mehmet Çunkaş
Anahtar Kelimeler
constrained optimization
Design optimization
finite element analysis
swarm intelligence
TLVCM
Kurumlar
Necmettin Erbakan Üniversitesi
Meram Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Engineering Optimization
Q2
SJR Skoru0,549
H-Index82
YayıncıTaylor and Francis Ltd.
ÜlkeUnited Kingdom
Applied Mathematics (Q2)
Computer Science Applications (Q2)
Control and Optimization (Q2)
Industrial and Manufacturing Engineering (Q2)
Management Science and Operations Research (Q2)
Metrikler
3
Atıf
3
Yazar
5
Anahtar Kelime