TY - JOUR T1 - Pin Control on Press Tables Using IoT Sensors AU - Cantez, Emin AU - Isen, Oguz Alper AU - Aydın, Serkan PY - 2023 DA - September DO - 10.55549/epstem.1343289 JF - The Eurasia Proceedings of Science Technology Engineering and Mathematics JO - EPSTEM PB - ISRES Publishing WT - DergiPark SN - 2602-3199 SP - 176 EP - 181 VL - 22 LA - en AB - Press machines are used to shape metal parts. There are pillow pins at the bottom of the molds in the press. Operators use manual map paper for each die to place the pins. When the pins are placed incorrectly, breakage, distortion and defects in the metal sheet occur in the mold. To prevent these errors, there is no warning system and no visual system to guide the operator. In the study, there is a motion-controlled sensor table. With pin control sensors, it is placed in the right place and the wrong pin is removed. In the system, it provides the operator to place it in the right place with the visual light system. Thus, there will be no errors in the system. The operator will start to make this process very easy. The system provides control with electronic card, plc and software. When the wrong pin is placed, the system does not operate. As a result, it provides production without making mistakes with sensor technology and smart system. KW - Sensor KW - Plc KW - Smart system KW - Electronic board CR - Harlow, H. F. (1983). Fundamentals for preparing psychology journal articles. Journal of Comparative and Physiological Psychology, 55, 893-896. CR - Kong, J., Lv, Y., Wu, D., Wu, J., & Xie, J. (2019). An IoT-based real-time monitoring and control system for hydraulic press machines. IEEE Access, 7, 65435-65444. CR - Liu, W., Wang, Y., Chen, X., & Chen, L. (2018). Research on the application of IoT technology in the control system of mechanical press. Journal of Physics: Conference Series, 1019(1), 012092. CR - Palaniappan, R., & Ramkumar, S. (2020). Real-time monitoring of press machines using IoT. Procedia Manufacturing, 50, 116-121. CR - Sodnik, J., & Zajc, M. (2017). IoT for ındustry: Implementation of smart manufacturing. Journal of Intelligent Manufacturing, 28(5), 1095-1105. UR - https://doi.org/10.55549/epstem.1343289 L1 - https://dergipark.org.tr/en/download/article-file/3332877 ER -