Real-time measurement method of melt pool temperature in the directed energy deposition process
•A melt pool temperature measurement system was constructed.•Three calibration methods guarantee a measuring error of less than 1%.•The high resolution image of temperature distribution in melt pool was obtained. In metal additive manufacturing, the quality of the parts is closely related to the tem...
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Published in | Applied thermal engineering Vol. 177; p. 115475 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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01.08.2020
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Abstract | •A melt pool temperature measurement system was constructed.•Three calibration methods guarantee a measuring error of less than 1%.•The high resolution image of temperature distribution in melt pool was obtained.
In metal additive manufacturing, the quality of the parts is closely related to the temperature distribution in the melt pool; hence, real-time monitoring of the temperature distribution has become a common method of evaluating printing quality. However, there are difficulties in the temperature measurement of a melt pool related to its small size, high temperature, and rapid melting and cooling. A high-speed measuring optical path for a temperature field using a single camera is designed based on dual-wavelength thermometry herein. A dual-waveband image-matching method with sub-pixel accuracy, and a multi-parameter cooperative optimization and calibration method of proportional coefficient K, λ1, and λ2 are developed. Moreover, it was found that the splitting ratio of a beam splitter is not a constant value, rather, it is a distribution; hence, an accurate calibration method for the splitting ratio distribution of the optical system is developed. An on-line temperature measurement system is developed, and its validation experiment indicates a measuring error of less than 1%. The temperature distribution of the melt pool in the directed energy deposition (DED) process was measured. It was found that the temperature distribution was uneven, and the position of the high-temperature peak region changed with time. The evolution law of profile size and temperature change rates during the formation, development, and cooling process of the melt pool are analyzed. The method developed herein significantly reduces the system development cost, and can realize real-time monitoring of the temperature distribution of the melt pool in DED processing. |
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AbstractList | In metal additive manufacturing, the quality of the parts is closely related to the temperature distribution in the melt pool; hence, real-time monitoring of the temperature distribution has become a common method of evaluating printing quality. However, there are difficulties in the temperature measurement of a melt pool related to its small size, high temperature, and rapid melting and cooling. A high-speed measuring optical path for a temperature field using a single camera is designed based on dual-wavelength thermometry herein. A dual-waveband image-matching method with sub-pixel accuracy, and a multi-parameter cooperative optimization and calibration method of proportional coefficient K, λ1, and λ2 are developed. Moreover, it was found that the splitting ratio of a beam splitter is not a constant value, rather, it is a distribution; hence, an accurate calibration method for the splitting ratio distribution of the optical system is developed. An on-line temperature measurement system is developed, and its validation experiment indicates a measuring error of less than 1%. The temperature distribution of the melt pool in the directed energy deposition (DED) process was measured. It was found that the temperature distribution was uneven, and the position of the high-temperature peak region changed with time. The evolution law of profile size and temperature change rates during the formation, development, and cooling process of the melt pool are analyzed. The method developed herein significantly reduces the system development cost, and can realize real-time monitoring of the temperature distribution of the melt pool in DED processing. •A melt pool temperature measurement system was constructed.•Three calibration methods guarantee a measuring error of less than 1%.•The high resolution image of temperature distribution in melt pool was obtained. In metal additive manufacturing, the quality of the parts is closely related to the temperature distribution in the melt pool; hence, real-time monitoring of the temperature distribution has become a common method of evaluating printing quality. However, there are difficulties in the temperature measurement of a melt pool related to its small size, high temperature, and rapid melting and cooling. A high-speed measuring optical path for a temperature field using a single camera is designed based on dual-wavelength thermometry herein. A dual-waveband image-matching method with sub-pixel accuracy, and a multi-parameter cooperative optimization and calibration method of proportional coefficient K, λ1, and λ2 are developed. Moreover, it was found that the splitting ratio of a beam splitter is not a constant value, rather, it is a distribution; hence, an accurate calibration method for the splitting ratio distribution of the optical system is developed. An on-line temperature measurement system is developed, and its validation experiment indicates a measuring error of less than 1%. The temperature distribution of the melt pool in the directed energy deposition (DED) process was measured. It was found that the temperature distribution was uneven, and the position of the high-temperature peak region changed with time. The evolution law of profile size and temperature change rates during the formation, development, and cooling process of the melt pool are analyzed. The method developed herein significantly reduces the system development cost, and can realize real-time monitoring of the temperature distribution of the melt pool in DED processing. |
ArticleNumber | 115475 |
Author | Xie, Huimin Zhao, Kai Liu, Zhanwei Hao, Ce Liu, Sheng |
Author_xml | – sequence: 1 givenname: Ce surname: Hao fullname: Hao, Ce organization: School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China – sequence: 2 givenname: Zhanwei surname: Liu fullname: Liu, Zhanwei email: liuzw@bit.edu.cn organization: School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China – sequence: 3 givenname: Huimin surname: Xie fullname: Xie, Huimin organization: AML, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China – sequence: 4 givenname: Kai surname: Zhao fullname: Zhao, Kai organization: Shanghai Aerospace Equipments Manufacturer Co. Ltd, Shanghai 201100, China – sequence: 5 givenname: Sheng surname: Liu fullname: Liu, Sheng email: victor_liu63@vip.126.com organization: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China |
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Cites_doi | 10.1007/s00170-014-6214-8 10.1007/s11340-010-9418-3 10.1088/1361-6501/aa5c4f 10.1016/j.dib.2016.02.084 10.1038/s41467-018-03071-9 10.1007/s40684-017-0029-7 10.1007/s11837-015-1767-z 10.1016/j.applthermaleng.2009.12.005 10.1038/s41467-018-03734-7 10.1088/0957-0233/22/2/025106 10.1016/j.jmatprotec.2010.08.007 10.1016/1350-4495(94)00106-U 10.1109/JSEN.2010.2045651 10.1007/s11661-011-0787-8 10.1115/1.4028540 10.1016/j.measurement.2016.04.024 10.3390/met9040456 |
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Keywords | Splitting ratio calibration Directed Energy Deposition (DED) Temperature distribution in melt pool Dual-wavelength thermometry Image-matching method |
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Snippet | •A melt pool temperature measurement system was constructed.•Three calibration methods guarantee a measuring error of less than 1%.•The high resolution image... In metal additive manufacturing, the quality of the parts is closely related to the temperature distribution in the melt pool; hence, real-time monitoring of... |
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SubjectTerms | Additive manufacturing Calibration Cooling rate Cost analysis Directed Energy Deposition (DED) Dual-wavelength thermometry Error analysis Heat transfer High temperature Image-matching method Measurement Monitoring On-line systems Optimization Real time Splitting Splitting ratio calibration Temperature distribution Temperature distribution in melt pool Temperature measurement |
Title | Real-time measurement method of melt pool temperature in the directed energy deposition process |
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