130657 20240131193421.0 doi 10.5545/sv-jme.2017.5188 sideral 106882 ART-2018-106882 eng Efkolidis, N. (orcid)0000-0001-9225-0311 Modelling and prediction of thrust force and torque in drilling operations of AI7075 using ANN and RSM methodologies 2018 Many developed approaches for the improvement of sustainability during machining operations; one of which is the optimized utilization of cutting tools. Increasing the efficient use of cutting tool results in better product quality and longer tool life. Drilling is one of the most popular manufacturing processes in the metal-cutting industry. It is usually earned out at the final steps of the production process. In this study, the effects of cutting parameters (cutting velocity, feed rate) and tool diameter on thrust force (Fz) and torque (Mz) are investigated in the drilling of an AI7075 workpiece using solid carbide tools. The full factorial experimental design is implemented in order to increase the confidence limit and reliability of the experimental data. Artificial neural networks (ANN) and response surface methodology (RSM) approaches are used to acquire mathematical models for both the thrust force (Fz) and torque (Mz) related to the drilling process. RSM- and ANN-based models are compared, and it is clearly determined that the proposed models are capable of predicting the thrust force (Fz) and torque (Mz). Nevertheless, the ANN models estimate in a more accurate way the outputs used in comparison to the RSM models. info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.139 2018 ENGINEERING, MECHANICAL 94 / 129 = 0.729 2018 Q3 T3 0.401 2018 Mechanics of Materials 2018 Q2 Mechanical Engineering 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion García Hernández, C. Universidad de Zaragoza (orcid)0000-0002-2729-8957 Huertas Talón, J. L. Universidad de Zaragoza (orcid)0000-0001-8333-5890 Kyratsis, P. 5002 305 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Expresión Gráfica en Ing. 5002 515 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Ing. Procesos Fabricación 64, 6 (2018), 351-361 Stroj. vestn. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING 0039-2480 2119742 http://zaguan.unizar.es/record/130657/files/texto_completo.pdf Postprint 3050153 http://zaguan.unizar.es/record/130657/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:130657 articulos driver 2024-01-31-19:30:02 ARTICLE