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In Situ Infrared Thermograp...

Liu, Tao,

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In Situ Infrared Thermographic Inspection in Additive Manufacturing /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	In Situ Infrared Thermographic Inspection in Additive Manufacturing // Tao Liu.
作者:	Liu, Tao,
面頁冊數:	1 electronic resource (235 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
標題:	Mechanical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31293704
ISBN:	9798383137161

In Situ Infrared Thermographic Inspection in Additive Manufacturing /
Liu, Tao,

In Situ Infrared Thermographic Inspection in Additive Manufacturing /Tao Liu. - 1 electronic resource (235 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Laser Powder Bed Fusion (LPBF) is a key technique in metal additive manufacturing and has undergone extensive research over the past few decades. It enables the fabrication of complex geometries directly from digital design models. The solidification process in LPBF is heavily influenced by the characteristics of the powder layer, including its thickness and thermal transport properties. Additionally, the performance of the printed part is impacted by the temperature history during solidification and the final residual stress field. While these topics have been the focus of many studies, almost all research has concentrated on ex-situ measurement and testing. These ex-situ techniques cannot replicate the printing chamber environment accurately to measure powder properties. Hence, they cannot provide real-time feedback to the LPBF system, nor do they aid in the real-time correction of printing parameters.This dissertation aims to develop an in-situ measurement system to monitor the printing process and predict powder properties, temperature, and residual stress fields in real-time. An infrared camera is integrated into the LPBF machines to collect data on temperature and radiation signals. By combining this data with numerical, analytical, and AI models, the system can predict the powder thickness, thermal diffusivity, temperature, and residual stress fields in real time. This infrared thermography system adds significant insight to the LPBF process. Its low-cost and simple setup also make this approach attractive for industrial adoption.

English

ISBN: 9798383137161Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Infrared thermography

In Situ Infrared Thermographic Inspection in Additive Manufacturing /
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520 $a Laser Powder Bed Fusion (LPBF) is a key technique in metal additive manufacturing and has undergone extensive research over the past few decades. It enables the fabrication of complex geometries directly from digital design models. The solidification process in LPBF is heavily influenced by the characteristics of the powder layer, including its thickness and thermal transport properties. Additionally, the performance of the printed part is impacted by the temperature history during solidification and the final residual stress field. While these topics have been the focus of many studies, almost all research has concentrated on ex-situ measurement and testing. These ex-situ techniques cannot replicate the printing chamber environment accurately to measure powder properties. Hence, they cannot provide real-time feedback to the LPBF system, nor do they aid in the real-time correction of printing parameters.This dissertation aims to develop an in-situ measurement system to monitor the printing process and predict powder properties, temperature, and residual stress fields in real-time. An infrared camera is integrated into the LPBF machines to collect data on temperature and radiation signals. By combining this data with numerical, analytical, and AI models, the system can predict the powder thickness, thermal diffusivity, temperature, and residual stress fields in real time. This infrared thermography system adds significant insight to the LPBF process. Its low-cost and simple setup also make this approach attractive for industrial adoption.
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650 4 $a Industrial engineering. $3 526216
650 4 $a Materials science. $3 543314
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653 $a Infrared camera
653 $a Additive manufacturing
653 $a Thermal diffusivity
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690 $a 0794
690 $a 0348
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710 2 $a Missouri University of Science and Technology. $b Mechanical Engineering. $e degree granting institution. $3 3823492
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