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akaturk Academic measurement

Academician profile · PROFESÖR

İLHAN ASİLTÜRK

NECMETTİN ERBAKAN ÜNİVERSİTESİ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Makine Mühendisliği
  • MÜHENDİSLİK FAKÜLTESİ
  • MAKİNE MÜHENDİSLİĞİ BÖLÜMÜ
Articles YÖKSİS 29
Projects 1
Books 2
Proceedings 21
Patents 1
Artistic 1
Scopus (SJR)
Q1 8 Q2 5 Q3 3 Q4 0
WoS (JCR)
Q1 4 Q2 8 Q3 2 Q4 1
TR Index 3 articles

Scopus (SJR)

Q1 8 Q2 5 Q3 3 Q4 0

WoS (JCR)

Q1 4 Q2 8 Q3 2 Q4 1

TR Index

3 articles

29 publications total

Articles

  1. 2024 EXAMINATION OF THE WEAR BEHAVIOR OF CU-BASED BRAKE PADS USED IN HIGH-SPEED TRAINS AND PREDICTION THROUGH STATISTICAL AND NEURAL NETWORK MODELS Surface Review and Letters DOI 10.1142/S0218625X24500628
  2. 2024 SURFACE ROUGHNESS AND DEVIATION FROM CIRCULARITY IN WATER JET CUTTING OF AL 7075 T651 SERIES ALUMINUM ALLOY MATERIALS International Journal of Advanced Natural Sciences and Engineering Researches DOI https://as-proceeding.com/index.php/icras/journals
  3. 2023 A Comprehensive Analysis of Surface Roughness, Vibration, and Acoustic Emissions Based on Machine Learning during Hard Turning of AISI 4140 Steel Metals 2023, 13(2), 437; https://doi.org/10.3390/met13020437 DOI 10.3390/met13020437
  4. 2022 Fuzzy Logic Modelling Of The Effect Of Tool Tip Radius On Surface Roughness In Machining Co28Cr6Mo Wrought Steels In CNC Turning European Journal of Science and Technology DOI 10.31590/ejosat.1223563
  5. 2016 Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods Measurement DOI 10.1016/j.measurement.2015.09.052
  6. 2016 Micromachining International Journal of Mechanical and Production Engineering (IJMPE)
  7. 2016 Electrochemical discharge machining A review International Journal of Science and Engineering Applications (IJSEA)
  8. 2016 Gazaltı Kaynağında Bulanık Mantık Kontrollü İz Takip Sisteminin Uygulanması Mühendis ve Makina
  9. 2015 Effects of Cutting Tool Parameters on Surface Roughness International Refereed Journal of Engineering and Science (IRJES)
  10. 2015 Comparative Optimization of Cutting Parameters in Turning Process Journal of Selcuk University Natural and Applied Science DOI http://josunas.selcuk.edu.tr/login/index.php/josunas/article/view/599
  11. 2014 Application of Artificial Intelligent to Predict Surface Roughness Experimental Techniques DOI 10.1111/j.1747-1567.2012.00827.x
  12. 2013 Surface roughness optimization of milling process of AISI 1045 steel with Taguchi technique Journal of Selçuk University Natural and Applied Science
  13. 2013 Prediction of cutting forces and surface roughness using artificial neural network (ANN) and support vector regression (SVR) in turning 4140 steel Materials Science and Technology DOI 10.1179/1743284712Y.0000000043
  14. 2013 Surface Roughness of Milling Process of AISI 1045 Steel with Taguchi Technique Journal of Selçuk University Natural and Applied Science DOI http://josunas.selcuk.edu.tr/
  15. 2012 Prediction of Cutting Forces and Surface Roughness using an Artificial Neural Network ANN and Support Vector Regression SVR in Turning 4140 Steel Materials Science and Tech DOI http://www.maneyonline.com/doi/abs/10.1179/1743284712Y.0000000043
  16. 2012 An intelligent system approach for surface roughness and vibrations prediction in cylindrical grinding International Journal of Computer Integrated Manufacturing DOI 10.1080/0951192X.2012.665185
  17. 2012 Determining the optimum process parameter for grinding operations using robust process Journal of Mechanical Science and Technology DOI 10.1007/s12206-012-0851-3
  18. 2012 Predicting surface roughness of hardened AISI 1040 based on cutting parameters using neural networks and multiple regression INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY DOI 10.1007/s00170-012-3903-z
  19. 2012 Multi response optimisation of CNC turning parameters via Taguchi method based response surface analysis Measurement DOI 10.1016/j.measurement.2011.12.004
  20. 2012 Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis Measurement DOI 10.1016/j.measurement.2011.12.004

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