000130657 001__ 130657
000130657 005__ 20240131193421.0
000130657 0247_ $$2doi$$a10.5545/sv-jme.2017.5188
000130657 0248_ $$2sideral$$a106882
000130657 037__ $$aART-2018-106882
000130657 041__ $$aeng
000130657 100__ $$0(orcid)0000-0001-9225-0311$$aEfkolidis, N.
000130657 245__ $$aModelling and prediction of thrust force and torque in drilling operations of AI7075 using ANN and RSM methodologies
000130657 260__ $$c2018
000130657 5203_ $$aMany developed approaches for the improvement of sustainability during machining operations; one of which is the optimized utilization of cutting tools. Increasing the efficient use of cutting tool results in better product quality and longer tool life. Drilling is one of the most popular manufacturing processes in the metal-cutting industry. It is usually earned out at the final steps of the production process. In this study, the effects of cutting parameters (cutting velocity, feed rate) and tool diameter on thrust force (Fz) and torque (Mz) are investigated in the drilling of an AI7075 workpiece using solid carbide tools. The full factorial experimental design is implemented in order to increase the confidence limit and reliability of the experimental data. Artificial neural networks (ANN) and response surface methodology (RSM) approaches are used to acquire mathematical models for both the thrust force (Fz) and torque (Mz) related to the drilling process. RSM- and ANN-based models are compared, and it is clearly determined that the proposed models are capable of predicting the thrust force (Fz) and torque (Mz). Nevertheless, the ANN models estimate in a more accurate way the outputs used in comparison to the RSM models.
000130657 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000130657 590__ $$a1.139$$b2018
000130657 591__ $$aENGINEERING, MECHANICAL$$b94 / 129 = 0.729$$c2018$$dQ3$$eT3
000130657 592__ $$a0.401$$b2018
000130657 593__ $$aMechanics of Materials$$c2018$$dQ2
000130657 593__ $$aMechanical Engineering$$c2018$$dQ2
000130657 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000130657 700__ $$0(orcid)0000-0002-2729-8957$$aGarcía Hernández, C.$$uUniversidad de Zaragoza
000130657 700__ $$0(orcid)0000-0001-8333-5890$$aHuertas Talón, J. L.$$uUniversidad de Zaragoza
000130657 700__ $$aKyratsis, P.
000130657 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000130657 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000130657 773__ $$g64, 6 (2018), 351-361$$pStroj. vestn.$$tSTROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING$$x0039-2480
000130657 8564_ $$s2119742$$uhttps://zaguan.unizar.es/record/130657/files/texto_completo.pdf$$yPostprint
000130657 8564_ $$s3050153$$uhttps://zaguan.unizar.es/record/130657/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000130657 909CO $$ooai:zaguan.unizar.es:130657$$particulos$$pdriver
000130657 951__ $$a2024-01-31-19:30:02
000130657 980__ $$aARTICLE