센서 융합형 지능형 부품 제조를 위한 적층 제조 기술 연구

정임두; 이민식; 우영진; 김경태; 유지훈

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자료유형: 학술저널

저자정보: 정임두 이민식 우영진 김경태 유지훈

저널정보: 한국분말야금학회 한국분말야금학회지 한국분말야금학회지 제27권 제2호

발행연도: 2020.1

수록면: 111 - 118 (8page)

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The convergence of artificial intelligence with smart factories or smart mechanical systems has been actively studied to maximize the efficiency and safety. Despite the high improvement of artificial neural networks, their application in the manufacturing industry has been difficult due to limitations in obtaining meaningful data from factories or mechanical systems. Accordingly, there have been active studies on manufacturing components with sensor integration allowing them to generate important data from themselves. Additive manufacturing enables the fabrication of a net shaped product with various materials including plastic, metal, or ceramic parts. With the principle of layer-bylayer adhesion of material, there has been active research to utilize this multi-step manufacturing process, such as changing the material at a certain step of adhesion or adding sensor components in the middle of the additive manufacturing process. Particularly for smart parts manufacturing, researchers have attempted to embed sensors or integrated circuit boards within a three-dimensional component during the additive manufacturing process. While most of the sensor embedding additive manufacturing was based on polymer material, there have also been studies on sensor integration within metal or ceramic materials. This study reviews the additive manufacturing technology for sensor integration into plastic, ceramic, and metal materials.

참고문헌 (41)

참고문헌 신청

J. Lee / 2018 / Manufacturing Lett 18:20

B. Li / 2017 / Front. Inf. Technol. Electron. Eng 18:86

S. P. L. Kumar / 2017 / Eng. Appl. Artif. Intell 65:294

F. Tao / 2018 / J. Manuf. Syst 48:157

J. M. Perkel / 2017 / Nature 542:125

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