Artificial neural network model for prediction of tool tip temperature and analysis

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dc.contributor.authorTasdemir, Sakir
dc.date.accessioned2020-03-26T19:45:19Z
dc.date.available2020-03-26T19:45:19Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractTechnological improvements put computer systems in the center of our life and various scientific disciplines. These can range from controlling a device in our home to public institutions and the industry. One of these disciplines is a sub-area in mechanical engineering called machining is concerned with not only mechanical systems but also computer aided systems. Artificial Neural Networks -an area of artificial intelligence- which is concerned with learning and decision making of computers is a field that scientists are very interested in. In this study, an Artificial Neural Network system was designed for predicting the temperature at the tool tip in the machining process. In the metal cutting process, tool tip temperature is one of the conditions that must be identified, analyzed and monitored. For this purpose, an ANN model was developed to determine the tool tip temperature in the turning process. In the designed ANN model, parameters consisting of three inputs and one output were used. The three input variables were rake angle (?-o), approaching angle (-o), feedrate (fmm/rev) respectively. The output parameter was the tool tip temperature (T-0C). The most appropriate model was determined according to Mean Squared Error ratio. In the test phase of the Artificial Neural Network, the smallest Mean Squared Error was obtained with the Artificial Neural Network topology formed as 3-4-1. In this Artificial Neural Network model, calculations were Mean Squared Error0.00144, R20.9956 (absolute fraction of variance) in the training phase and Mean Squared Error0.00231, R20.9954 in the test phase. The results show that the designed Artificial Neural Network model can be used for predicting and analyzing tool tip temperatureen_US
dc.identifier.citationTasdemir, S. (2018). Artificial Neural Network Model for Prediction of tool Tip Temperature and Analysis. International Journal of Intelligent Systems and Applications in Engineering, 6(1), 92-96.
dc.identifier.endpage96en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issue1en_US
dc.identifier.startpage92en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TWpZNE16UXlNZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36023
dc.identifier.volume6en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorTasdemir, Sakir
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYapay Zekaen_US
dc.subjectArtificial Neural Network
dc.subjectPrediction Mode
dc.titleArtificial neural network model for prediction of tool tip temperature and analysisen_US
dc.typeArticleen_US

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