Cargando…

Temperature Measurement and Numerical Prediction in Machining Inconel 718

Thermal issues are critical when machining Ni-based superalloy components designed for high temperature applications. The low thermal conductivity and extreme strain hardening of this family of materials results in elevated temperatures around the cutting area. This elevated temperature could lead t...

Descripción completa

Detalles Bibliográficos
Autores principales: Díaz-Álvarez, José, Tapetado, Alberto, Vázquez, Carmen, Miguélez, Henar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539776/
https://www.ncbi.nlm.nih.gov/pubmed/28665312
http://dx.doi.org/10.3390/s17071531
_version_ 1783254544732389376
author Díaz-Álvarez, José
Tapetado, Alberto
Vázquez, Carmen
Miguélez, Henar
author_facet Díaz-Álvarez, José
Tapetado, Alberto
Vázquez, Carmen
Miguélez, Henar
author_sort Díaz-Álvarez, José
collection PubMed
description Thermal issues are critical when machining Ni-based superalloy components designed for high temperature applications. The low thermal conductivity and extreme strain hardening of this family of materials results in elevated temperatures around the cutting area. This elevated temperature could lead to machining-induced damage such as phase changes and residual stresses, resulting in reduced service life of the component. Measurement of temperature during machining is crucial in order to control the cutting process, avoiding workpiece damage. On the other hand, the development of predictive tools based on numerical models helps in the definition of machining processes and the obtainment of difficult to measure parameters such as the penetration of the heated layer. However, the validation of numerical models strongly depends on the accurate measurement of physical parameters such as temperature, ensuring the calibration of the model. This paper focuses on the measurement and prediction of temperature during the machining of Ni-based superalloys. The temperature sensor was based on a fiber-optic two-color pyrometer developed for localized temperature measurements in turning of Inconel 718. The sensor is capable of measuring temperature in the range of 250 to 1200 °C. Temperature evolution is recorded in a lathe at different feed rates and cutting speeds. Measurements were used to calibrate a simplified numerical model for prediction of temperature fields during turning.
format Online
Article
Text
id pubmed-5539776
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-55397762017-08-11 Temperature Measurement and Numerical Prediction in Machining Inconel 718 Díaz-Álvarez, José Tapetado, Alberto Vázquez, Carmen Miguélez, Henar Sensors (Basel) Article Thermal issues are critical when machining Ni-based superalloy components designed for high temperature applications. The low thermal conductivity and extreme strain hardening of this family of materials results in elevated temperatures around the cutting area. This elevated temperature could lead to machining-induced damage such as phase changes and residual stresses, resulting in reduced service life of the component. Measurement of temperature during machining is crucial in order to control the cutting process, avoiding workpiece damage. On the other hand, the development of predictive tools based on numerical models helps in the definition of machining processes and the obtainment of difficult to measure parameters such as the penetration of the heated layer. However, the validation of numerical models strongly depends on the accurate measurement of physical parameters such as temperature, ensuring the calibration of the model. This paper focuses on the measurement and prediction of temperature during the machining of Ni-based superalloys. The temperature sensor was based on a fiber-optic two-color pyrometer developed for localized temperature measurements in turning of Inconel 718. The sensor is capable of measuring temperature in the range of 250 to 1200 °C. Temperature evolution is recorded in a lathe at different feed rates and cutting speeds. Measurements were used to calibrate a simplified numerical model for prediction of temperature fields during turning. MDPI 2017-06-30 /pmc/articles/PMC5539776/ /pubmed/28665312 http://dx.doi.org/10.3390/s17071531 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Díaz-Álvarez, José
Tapetado, Alberto
Vázquez, Carmen
Miguélez, Henar
Temperature Measurement and Numerical Prediction in Machining Inconel 718
title Temperature Measurement and Numerical Prediction in Machining Inconel 718
title_full Temperature Measurement and Numerical Prediction in Machining Inconel 718
title_fullStr Temperature Measurement and Numerical Prediction in Machining Inconel 718
title_full_unstemmed Temperature Measurement and Numerical Prediction in Machining Inconel 718
title_short Temperature Measurement and Numerical Prediction in Machining Inconel 718
title_sort temperature measurement and numerical prediction in machining inconel 718
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539776/
https://www.ncbi.nlm.nih.gov/pubmed/28665312
http://dx.doi.org/10.3390/s17071531
work_keys_str_mv AT diazalvarezjose temperaturemeasurementandnumericalpredictioninmachininginconel718
AT tapetadoalberto temperaturemeasurementandnumericalpredictioninmachininginconel718
AT vazquezcarmen temperaturemeasurementandnumericalpredictioninmachininginconel718
AT miguelezhenar temperaturemeasurementandnumericalpredictioninmachininginconel718