Oğuzhan Der

Akademik Profiller

1. 1
   State-of-the-art review of energy consumption in machining operations: Challenges and trendsRenewable and Sustainable Energy Reviews
   2025
2. 2
   Multi-Response Optimization of Drilling Parameters in Direct Hot-Pressed Al/B4C/SiC Hybrid Composites Using Taguchi-Based Entropy–CoCoSo MethodMaterials
   2025
3. 3
   TOPSIS-based multi-response optimization for improving CO2 laser cutting quality of 3D printed PLAInternational Advanced Researches and Engineering Journal
   2025
4. 4
   Intelligent modeling and prediction of CO 2 laser cutting performance in FFF-printed thermoplastics using machine learning algorithmsProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
   2025
5. 5
   Multi-objective optimization of process parameters for laser cutting polyethylene using fuzzy AHP-based MCDM methodsProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
   2025
6. 6
   Multi-Output Prediction and Optimization of CO2 Laser Cutting Quality in FFF-Printed ASA Thermoplastics Using Machine Learning ApproachesPolymers
   2025
7. 7
   Experimental study on performance and emission optimization of MgO nanoparticle-enriched 2nd generation biodiesel: A method for employing nanoparticles to improve cleaner diesel combustionJournal of the Energy Institute
   2025
8. 8
   Quantifying the Influence of Market Concentration on Maritime Freight Rates for Sustainable Transport: A Case Study of the Asia–North America Container RouteSustainability
   2025
9. 9
   INVESTIGATION OF THE EFFECTS OF PROCESS PARAMETERS ON MACHINING PERFORMANCE IN LASER CUTTING OF 3D-PRINTED PLAInternational Journal of 3D Printing Technologies and Digital Industry
   2025
10. 10
    On the Formation and Characterization of Nanoplastics During Surface Wear ProcessesSurfaces
    2025

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