Akademisyen
OSMAN ÜLKİR
DOÇENT
MUŞ ALPARSLAN ÜNİVERSİTESİ TEKNİK BİLİMLER MESLEK YÜKSEKOKULU ELEKTRİK VE ENERJİ BÖLÜMÜ
- Ana Dal Mühendislik Temel Alanı
- Yan Dal Mekatronik Mühendisliği
Kayıtlı çıktılara kısa bakış — ayrıntılar aşağıda.
- Makale 53
- Proje 0
- Kitap 6
- Bildiri 0
- Patent 0
- Sanatsal 0
Scopus (SJR)
Q1
12
Q2
18
Q3
6
Q4
1
WoS (JCR)
Q1
9
Q2
13
Q3
8
Q4
6
TR Index
11
makale
Alan+yıl+tür normalize OpenAlex yüzdelik — Clarivate ESI / SciVal değildir.
Üst %1 makale
0
Üst %10 makale
0
Ort. yüzdelik
80.7%
Üst %1 payı
0.0%
Üst %10 payı
0.0%
Makaleler
YÖKSİS ve OpenAlex kaynak ayrımıyla makaleler; quartile ve TR Index ile daraltabilirsiniz.
Makale listesi
- 2025 Artificial intelligence techniques for thermomechanical property optimization of metal-PLA composites additive manufactured parts YÖKSİS SJR Q1 JCR Q1
- 2025 Prediction and Optimization of PETG Part Hardness in 3D Printing: A Comparative Study of Experimental Design Methods YÖKSİS SJR Q2 JCR Q2
- 2025 Prediction of Dimensional Accuracy and Surface Quality in Additively Manufactured Biomedical Implants Using ANN YÖKSİS SJR Q2 JCR Q1
- 2025 Optimization and prediction of mechanical properties of TPU-Based wrist hand orthosis using Bayesian and machine learning models YÖKSİS SJR Q1 JCR Q1
- 2025 Predicting Mechanical Properties of FDM‐Produced Parts Using Machine Learning Approaches YÖKSİS SJR Q2 JCR Q3
- 2025 Mechanical Behavior Prediction of 3D‐Printed PLA/Wood Composites Using Artificial Neural Network and Fuzzy Logic YÖKSİS SJR Q2 JCR Q2
- 2025 Fuzzy logic and taguchi approach for compressive strength prediction of ABS components fabricated by AM YÖKSİS SJR Q2 JCR Q2
- 2025 Taguchi‐ANN Hybrid Approach for Evaluating Unsupported Overhang Structures in FDM‐Printed Polymers YÖKSİS SJR Q1 JCR Q2
- 2025 Prediction and Optimization of PETG Part Hardness in 3D Printing: A Comparative Study of Experimental Design Methods YÖKSİS SJR Q2 JCR Q2
- 2025 Hybrid Experimental–Machine Learning Study on the Mechanical Behavior of Polymer Composite Structures Fabricated via FDM YÖKSİS SJR Q1 JCR Q1
- 2025 Artificial intelligence techniques for thermomechanical property optimization of metal-PLA composites additive manufactured parts YÖKSİS SJR Q1 JCR Q1
- 2024 Raster Angle Prediction of Additive Manufacturing Process Using Machine Learning Algorithm YÖKSİS SJR Q2 JCR Q2
- 2024 Modelling and fabrication of flexible strain sensor using the 3D printing technology YÖKSİS SJR Q1 JCR Q2
- 2024 Application of Artificial Neural Network to Evaluation of Dimensional Accuracy of 3D‐Printed Polylactic Acid Parts YÖKSİS SJR Q2 JCR Q2
- 2024 Application of Artificial Neural Network to Evaluation of Dimensional Accuracy of 3D‐Printed Polylactic Acid Parts YÖKSİS SJR Q2 JCR Q2
- 2024 Prediction of Flexural Strength with Fuzzy Logic Approach for Fused Deposition Modeling of Polyethylene Terephthalate Glycol Components YÖKSİS SJR Q2 JCR Q3
- 2024 Prediction Surface Roughness of 3D printed Parts Using Genetic Algorithm Optimized Hybrid Learning Model YÖKSİS SJR Q1 JCR Q2
- 2024 Optimizing Surface Roughness in Soft Pneumatic Gripper Fabricated via FDM: Experimental Investigation Using Taguchi Method YÖKSİS SJR Q3 JCR Q3
- 2024 Energy Consumption Prediction of Additive Manufactured Tensile Strength Parts Using Artificial Intelligence YÖKSİS SJR Q2 JCR Q3
- 2024 Investigation on the Mechanical and Thermal Properties of Metal-PLA Composites Fabricated by FDM YÖKSİS SJR Q2 JCR Q1