Akademisyen

BAHRAM LOTFİ

DOKTOR ÖĞRETİM ÜYESİ

TOBB EKONOMİ VE TEKNOLOJİ ÜNİVERSİTESİ MÜHENDİSLİK FAKÜLTESİ MAKİNE MÜHENDİSLİĞİ BÖLÜMÜ

Kayıtlı çıktılara kısa bakış — ayrıntılar aşağıda.

Makale 16
Proje 0
Kitap 0
Bildiri 0
Patent 0
Sanatsal 0

Scopus (SJR) Q1 6 Q2 7 Q3 0 Q4 1

WoS (JCR) Q1 2 Q2 9 Q3 3 Q4 0

TR Index 1 makale

Makaleler

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

Makale listesi

2024 Enhancing machining efficiency of Ti-6Al-4V through multi-axial ultrasonic vibration-assisted machining and hybrid nanofluid minimum quantity lubrication Journal of Manufacturing Processes DOI 10.1016/j.jmapro.2024.03.073 YÖKSİS SJR Q1 JCR Q1
2024 Investigation of the Combined Effects of Ultrasonic Vibration-Assisted Machining and Minimum Quantity Lubrication on Al7075-T6 Journal of Engineering DOI 10.1155/2024/6655471 YÖKSİS SJR Q2 JCR Q2
2024 Multi-axial ultrasonic vibration-assisted machining of Inconel 718 using Al2O3-CuO hybrid nanofluid MQL Procedia CIRP DOI 10.1016/j.procir.2024.05.018 YÖKSİS
2023 Machining performance and sustainability analysis of Al2O3-CuO hybrid nanofluid MQL application for milling of Ti-6Al-4V Machining Science and Technology DOI 10.1080/10910344.2023.2287655 YÖKSİS SJR Q2 JCR Q2
2023 An experimental study on ultrasonic-assisted drilling of Inconel 718 under different cooling/lubrication conditions The International Journal of Advanced Manufacturing Technology DOI 10.1007/s00170-023-12735-w YÖKSİS SJR Q2 JCR Q2
2023 Combined use of ultrasonic-assisted drilling and minimum quantity lubrication for drilling of NiTi shape memory alloy Machining Science and Technology DOI 10.1080/10910344.2023.2224860 YÖKSİS SJR Q2 JCR Q2
2023 Combined use of ultrasonic-assisted drilling and minimum quantity lubrication for drilling of NiTi shape memory alloy MACHINING SCIENCE AND TECHNOLOGY DOI 10.1080/10910344.2023.2224860 YÖKSİS SJR Q2 JCR Q2
2023 Integration of psychological parameters into a thermal sensation prediction model for intelligent control of the HVAC systems Energy and Buildings DOI 10.1016/j.enbuild.2023.113404 YÖKSİS SJR Q1 JCR Q1
2022 Predictive models for mechanical properties of expanded polystyrene (EPS) geofoam using regression analysis and artificial neural networks Neural Computing and Applications DOI 10.1007/s00521-022-07014-w YÖKSİS SJR Q1 JCR Q2
2022 Minimum Miktar Yağlama Tekniğinin Ti-6Al-4V Alaşımının Kaba İşlenmesinde Kesme Kuvvetlerine Etkisinin İncelenmesi Makina Tasarım ve İmalat Dergisi DOI https://dergipark.org.tr/en/pub/matim/issue/53867/677967 YÖKSİS TR Index
2021 An experimental investigation on the effects of combined application of ultrasonic assisted milling (UAM) and minimum quantity lubrication (MQL) on cutting forces and surface roughness of Ti-6AL-4V Machining Science and Technology DOI 10.1080/10910344.2021.1971706 YÖKSİS SJR Q2 JCR Q3
2020 Cutting force prediction in ultrasonic-assisted milling of Ti\u20136Al\u20134V with different machining conditions using artificial neural network Artificial Intelligence for Engineering Design, Analysis and Manufacturing DOI 10.1017/S0890060420000360 YÖKSİS SJR Q2 JCR Q3
2017 An ontology-based multi-agent virtual enterprise system (OMAVE): part 2: partner selection International Journal of Computer Integrated Manufacturing DOI 10.1080/0951192X.2017.1285424 YÖKSİS SJR Q1 JCR Q2
2017 An Ontology Based Semantic Machine Tool Selection for Multi Scale Wire EDM Processes Solid State Phenomena DOI 10.4028/www.scientific.net/SSP.261.470 YÖKSİS SJR Q4 JCR Q3
2016 An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain modelling and rule management International Journal of Computer Integrated Manufacturing DOI 10.1080/0951192X.2016.1145811 YÖKSİS SJR Q1 JCR Q2
2015 A survey of partner selection methodologies for virtual enterprises and development of a goal programming\u2013based approach The International Journal of Advanced Manufacturing Technology DOI 10.1007/s00170-015-8068-0 YÖKSİS SJR Q1 JCR Q2

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