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.

본 논문은 하중재하시 강상판교의 방수층과 교면포장에서 발생하는 거동을 유한요소해석을 통하여 분석하였다. 포장표면에 연직방향으로 작용하는 차량하중과 수평방향으로 작용하는 차량의 제동하중의 크기에 따른 포장체와 방수시트에 발생되는 응력을 산정하였다. 그리고 강상판 두께 및 강성. 포장층 두께, 차량제동하중, 온도 등의 변수가 포장체의 응력변화에 어떠한 영향을 미치는지에 대하여 분석하였다. 방수층의 전단응력은 강상판의 두께가 얇아지고 강성이 감소할수록 증가하였으며, 강상판의 두께가 150mm이상의 경우와 탄성계수가 2×105MPa이상의 경우에는 그 영향이 미비하였다 또한 교면 포장의 두께가 얇아지고 온도가 낮아질수록 방수층의 전단응력이 증가하였다. 포장체 하부에서 발생하는 인장변형률은 고온에서 최대가 되었으며 두께가 증가할수록 감소하였다.