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akaturk Akademik ölçüm

Akademisyen

HAKAN YURTKURAN

DOKTOR ÖĞRETİM ÜYESİ

YOZGAT BOZOK ÜNİVERSİTESİ AKDAĞMADENİ MESLEK YÜKSEKOKULU MAKİNE VE METAL TEKNOLOJİLERİ BÖLÜMÜ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Makine Mühendisliği

Kayıtlı çıktılara kısa bakış — ayrıntılar aşağıda.

  • Makale 17
  • Proje 0
  • Kitap 2
  • Bildiri 12
  • Patent 0
  • Sanatsal 0
Scopus (SJR) Q1 7 Q2 3 Q3 1 Q4 0
WoS (JCR) Q1 3 Q2 6 Q3 1 Q4 3
TR Index 7 makale

Alan+yıl+tür normalize OpenAlex yüzdelik — Clarivate ESI / SciVal değildir.

Üst %1 makale 0
Üst %10 makale 4
Ort. yüzdelik 73.6%
Üst %1 payı 0.0%
Üst %10 payı 23.5%

Makaleler

YÖKSİS ve OpenAlex kaynak ayrımıyla makaleler; quartile ve TR Index ile daraltabilirsiniz.

Dizin filtreleri

Toplam 17 yayın

Makale listesi

  1. 2026 Surface integrity and fatigue performance in metal additive manufacturing: a review on surface mechanisms, advanced characterization, and post-processing-induced evolution Rapid Prototyping Journal DOI 10.1108/RPJ-02-2026-0125 YÖKSİS SJR Q1 JCR Q2 OpenAlex 86.2%
  2. 2026 Experimental Evaluation of Surface Roughness and Cutting Forces in Turning of 1.2379 Tool Steel: Role of Cutting Parameters and Tool Nose Radius Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji DOI 10.29109/gujsc.1918469 YÖKSİS TR Index OpenAlex 56.0%
  3. 2025 Optimisation of Energy Consumption in Milling of Inconel 718 Alloy and Prediction Model with Machine Learning İmalat Teknolojileri ve Uygulamaları DOI 10.52795/mateca.1792370 YÖKSİS TR Index OpenAlex 57.7%
  4. 2024 Prediction of power consumption and its signals in sustainable turning of PH13-8Mo steel with different machine learning models The International Journal of Advanced Manufacturing Technology DOI 10.1007/s00170-024-13867-3 YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 96.1%
  5. 2024 Predictive modelling and optimization for machinability indicators in cleaner milling of PH13-8Mo using sustainable cutting environments Journal of the Brazilian Society of Mechanical Sciences and Engineering DOI 10.1007/s40430-024-04897-9 YÖKSİS SJR Q2 JCR Q2 OpenAlex 79.1%
  6. 2024 A State of the Art on Sustainable Metal Working Fluids in Machining Applications Journal of Molecular and Engineering Materials DOI 10.1142/S2251237324400136 YÖKSİS JCR Q4 OpenAlex 72.5%
  7. 2023 Investigation of machinability indicators during sustainable milling of 17-4PH stainless steel under dry and MQL environments SAGE Publications DOI 10.1177/09544089231189640 YÖKSİS SJR Q2 JCR Q2 OpenAlex 67.0%
  8. 2022 Analyzing the Effects of Cutting Parameters on Machinability Criteria in Milling of 17-4PH Stainless Steel under Dry Environment İmalat Teknolojileri ve Uygulamaları (Online) DOI 10.52795/mateca.1181213 YÖKSİS TR Index OpenAlex 56.8%
  9. 2021 An Evaluation on Machinability Characteristics of Titanium and Nickel Based Superalloys Used in Aerospace Industry İmalat Teknolojileri ve Uygulamaları (Online) DOI 10.52795/mateca.940261 YÖKSİS TR Index OpenAlex 86.7%
  10. 2020 AA7075 Alaşımının İşlenebilirliğine Suni Yaşlandırmanın Etkisinin Analizi ve Kesme Parametrelerinin Optimizasyonu Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi DOI 10.5505/pajes.2019.71224 YÖKSİS TR Index JCR Q4 OpenAlex 47.2%
  11. 2026 Multi-response optimization of fiber laser cutting parameters for improved cut quality and energy efficiency in ferritic stainless steel Engineering Science and Technology, an International Journal DOI 10.1016/j.jestch.2026.102420 YÖKSİS SJR Q1 JCR Q1 OpenAlex 51.3%
  12. 2026 Surface integrity and fatigue performance in metal additive manufacturing: a review on surface mechanisms, advanced characterization, and post-processing-induced evolution Rapid Prototyping Journal DOI 10.1108/RPJ-02-2026-0125 YÖKSİS SJR Q1 JCR Q2 OpenAlex 81.9%
  13. 2026 Integrated assessment of tool wear, chip morphology, surface ıntegrity and energy consumption in sustainable milling of Inconel 718 Scientific Reports DOI 10.1038/s41598-026-37624-6 YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 97.0%
  14. 2026 A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations Scientific Reports DOI 10.1038/s41598-026-42719-1 YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 94.7%
  15. 2026 A Machine Learning Approach to Performance–Emission Analysis in Dual-Fuel Internal Combustion Engines Emission Control Science and Technology DOI 10.1007/s40825-026-00303-z YÖKSİS SJR Q2 JCR Q4 OpenAlex 64.8%
  16. 2025 Statistical and experimental analysis of machining parameters and tool radius in turning of low carbon steels International Journal of Advanced Natural Sciences and Engineering Researches DOI https://as-proceeding.com/index.php/ijanser/article/view/2836/2704 YÖKSİS
  17. 2024 Prediction of power consumption and its signals in sustainable turning of PH13-8Mo steel with different machine learning models The International Journal of Advanced Manufacturing Technology DOI 10.1007/s00170-024-13867-3 YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 96.0%
  18. 2018 Sertleştirilmiş X40CrMoV5-1 Çeliğinin Tornalanmasında Kesme Kuvvetinin Deneysel ve Nümerik Olarak İncelenmesi GU J Sci, Part C DOI DOI: 10.29109/gujsc.385823 YÖKSİS TR Index OpenAlex 60.6%
  19. 2016 Modelling and Optimization of the Surface Roughness in High Speed Hard Turning with Coated and Uncoated CBN Insert GAZI UNIVERSITY JOURNAL OF SCIENCE DOI https://www.researchgate.net/publication/312095051_Modelling_and_optimization_of_the_surface_roughness_in_high_speed_hard_turning_with_coated_and_uncoated_CBN_insert YÖKSİS TR Index SJR Q3 JCR Q3

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