Fatih Kocatürk

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7 Artikel
3 Beitrag in Konferenzband

Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent
Zeren, D., Kocatürk, F. & Toparli, M. B., 25 Mai 2023, Material Forming - The 26th International ESAFORM Conference on Material Forming – ESAFORM 2023. Madej, L., Sitko, M. & Perzynsk, K. (Hrsg.). Band 28. S. 1503-1510 8 S.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Open Access
A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python
Kocatürk, F., Aydın, T. & Zeren, D., 22 Juli 2022, in: Key Engineering Materials. 926, S. 2022-2030 9 S.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Open Access
Experimental validation of the formulation for maximum socket depth estimation of non-reduced strength bolts
Kocatürk, F., Toparli, M. B., Tanrıkulu, B., İnce, U. & Kılıçaslan, C., 1 Jan. 2022, in: Procedia Structural Integrity. 42, S. 1206-1214 9 S.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel

Open Access

4 Vortrag

Green Locomotive Assignment Problem with Deadheading on Trains
Gislind Baumgartner (Vortragende*r), Fatih Kocatürk (Autor*in), Ninja Scherr (Autor*in) & Jan Fabian Ehmke (Autor*in)
3 Juli 2024
Aktivität: Vorträge › Vortrag › Science to Science
Energy Consumption Prediction Models for Locomotives Used in Railway Freight Transportation
Fatih Kocatürk (Vortragende*r), Gislind Stefan (Autor*in), Ninja Söffker (Autor*in) & Jan Fabian Ehmke (Autor*in)
28 Sept. 2023 → 29 Sept. 2023
Aktivität: Vorträge › Vortrag › Science to Science
Green Locomotive Assignment Problem with Data-driven Energy Consumption
Gislind Stefan (Vortragende*r), Fatih Kocatürk (Autor*in), Ninja Söffker (Autor*in) & Jan Fabian Ehmke (Autor*in)
7 Sept. 2023
Aktivität: Vorträge › Vortrag › Science to Science

Fatih Kocatürk

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Kooperationen und Spitzenforschungsbereiche der letzten fünf Jahre

Details ergründen

Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent

A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python

Experimental validation of the formulation for maximum socket depth estimation of non-reduced strength bolts

Green Locomotive Assignment Problem with Deadheading on Trains

Energy Consumption Prediction Models for Locomotives Used in Railway Freight Transportation

Green Locomotive Assignment Problem with Data-driven Energy Consumption

Fatih Kocatürk

Fingerprint

Kooperationen und Spitzenforschungsbereiche der letzten fünf Jahre

Publikationen

Combined material model to predict flow curves of cold forging raw materials having high strain hardening exponent

A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python

Experimental validation of the formulation for maximum socket depth estimation of non-reduced strength bolts

Aktivitäten

Green Locomotive Assignment Problem with Deadheading on Trains

Energy Consumption Prediction Models for Locomotives Used in Railway Freight Transportation

Green Locomotive Assignment Problem with Data-driven Energy Consumption