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.

Abstract
1. 서 론
2. 고분자 적층 성형 센서 내장 기술
3. 금속 적층 성형 센서 내장 기술
4. 세라믹 적층 제조 센서 내장 기술
5. 결 론
References

• 정임두(한동대학교 기계제어공학부) | Im Doo Jung (School of Mechanical and Control Engineering, Handong Global University) Corresponding Author
• 이민식(재료연구소 3D프린팅소재연구센터) | Min Sik Lee (Korea Institute of Materials Science)
• 우영진(재료연구소 3D프린팅소재연구센터) | Young Jin Woo (Korea Institute of Materials Science)
• 김경태(재료연구소 3D프린팅소재연구센터) | Kyung Tae Kim (Korea Institute of Materials Science)
• 유지훈(재료연구소 3D프린팅소재연구센터) | Ji-Hun Yu (Korea Institute of Materials Science)