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基于热电偶和红外传感器的金属切削温度分布测量

Thermocouple and infrared sensor-based measurement of temperature distribution in metal cutting.

作者信息

Kus Abdil, Isik Yahya, Cakir M Cemal, Coşkun Salih, Özdemir Kadir

机构信息

Vocational School of Technical Science, Uludag University, 16059 Bursa, Turkey.

Department of Mechanical Engineering, Uludag University, 16059 Bursa, Turkey.

出版信息

Sensors (Basel). 2015 Jan 12;15(1):1274-91. doi: 10.3390/s150101274.

DOI:10.3390/s150101274
PMID:25587976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4327076/
Abstract

In metal cutting, the magnitude of the temperature at the tool-chip interface is a function of the cutting parameters. This temperature directly affects production; therefore, increased research on the role of cutting temperatures can lead to improved machining operations. In this study, tool temperature was estimated by simultaneous temperature measurement employing both a K-type thermocouple and an infrared radiation (IR) pyrometer to measure the tool-chip interface temperature. Due to the complexity of the machining processes, the integration of different measuring techniques was necessary in order to obtain consistent temperature data. The thermal analysis results were compared via the ANSYS finite element method. Experiments were carried out in dry machining using workpiece material of AISI 4140 alloy steel that was heat treated by an induction process to a hardness of 50 HRC. A PVD TiAlN-TiN-coated WNVG 080404-IC907 carbide insert was used during the turning process. The results showed that with increasing cutting speed, feed rate and depth of cut, the tool temperature increased; the cutting speed was found to be the most effective parameter in assessing the temperature rise. The heat distribution of the cutting tool, tool-chip interface and workpiece provided effective and useful data for the optimization of selected cutting parameters during orthogonal machining.

摘要

在金属切削中,刀具与切屑界面处的温度大小是切削参数的函数。该温度直接影响生产;因此,加强对切削温度作用的研究有助于改善加工操作。在本研究中,通过同时使用K型热电偶和红外辐射(IR)高温计测量刀具与切屑界面温度来估算刀具温度。由于加工过程的复杂性,有必要整合不同的测量技术以获得一致的温度数据。通过ANSYS有限元方法对热分析结果进行了比较。实验在干式加工中进行,使用的工件材料是经感应处理至硬度为50 HRC的AISI 4140合金钢。在车削过程中使用了PVD TiAlN-TiN涂层的WNVG 080404-IC907硬质合金刀片。结果表明,随着切削速度、进给量和切削深度的增加,刀具温度升高;切削速度被发现是评估温度升高最有效的参数。切削刀具、刀具与切屑界面以及工件的热分布为正交加工过程中选定切削参数的优化提供了有效且有用的数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/de73c1754ba2/sensors-15-01274f17.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/aa6e830a2968/sensors-15-01274f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/e539674d7902/sensors-15-01274f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/3e4bb6140bdf/sensors-15-01274f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/947ea2ebe67f/sensors-15-01274f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/eb47d90ed753/sensors-15-01274f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/d8bd279dada3/sensors-15-01274f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/d16c8dd3be5c/sensors-15-01274f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/2d588b5100d8/sensors-15-01274f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/0c0fb8c16512/sensors-15-01274f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb8a/4327076/de73c1754ba2/sensors-15-01274f17.jpg

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