4.7 Article

Temperature monitoring of milling processes using a directional-spectral thermal radiation heat transfer formulation and thermography

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2021.121051

关键词

Infrared thermography; Spectral emissivity; Temperature measurement; Milling of metals

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico - Brazil [CNPq 303861/2017-7]
  2. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brazil (CAPES)
  3. PRPq-UFMG (ProReitoria de Pesquisa da Universidade Federal de Minas Gerais)
  4. FAPEMIG [APQ-00660-19]

向作者/读者索取更多资源

Authors used thermography to monitor thermal and spatial gradients, and estimate temperature, proposing a more suitable methodology using radiative heat transfer directional-spectral relations to estimate cutting process temperatures during face milling of metals. The experimental results showed that the temperature deviation between different estimation methods could be up to 41%.
Temperature is an important property to be monitored during cutting operations, such as in the milling of metals, because it affects the workpiece mechanical properties, the machining tool performance, and the process efficiency. For this reason, authors have used thermography to monitor thermal and spatial gradients, and to estimate temperature. The problem is that IR cameras native applications are mostly based on the diffuse-gray approximation, with emissivity set as a constant value. The diffuse-gray approach is a reasonable choice for opaque surfaces with emissivity approximately constant in respect to the wavelength, which is not the case in most of the time for metals under cutting operation. In this work we propose a more suitable methodology that uses radiative heat transfer directional-spectral relations to estimate cutting process temperatures during face milling of metals, using the full electrical response of commercial infrared cameras as an input. AISI H13 steel was used as the workpiece material. In the first part of the experiments, emissivity was estimated for eight different temperatures from 50 degrees C to 250 degrees C, using both directional-spectral and diffuse-gray approaches. Temperature was measured using a thermocouple type T, calibrated using a PT-100 reference from 50 degrees C to 250 degrees C. In the second part, we used the emissivity obtained in the first part to estimate the temperature for twelve different cutting conditions, again using both directional-spectral and diffuse-gray approaches. We compared the results of both methods, also with the direct application of emissivity provided in infrared cameras manuals. The temperature deviation between the different approaches were up to 41%, which demonstrates that the temperature estimation procedure affects the results substantially. (C) 2021 Elsevier Ltd. All rights reserved.

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