{"title":"IoT-Based Real-Time 3D Printing Monitoring System","authors":"Temirlan Kazhymurat, E. Shehab, Md. Hazrat Ali","doi":"10.1109/SIST54437.2022.9945778","DOIUrl":null,"url":null,"abstract":"This paper presents IoT based real-time monitoring system for 3D printing. However, additive manufacturing or 3D printing allows complex solutions and innovations due to its superior advantages over conventional material removal processes. Monitoring and quality control of the printing process are still challenging to implement. There is a need for research efforts in creating IoT-based monitoring, control systems, smart manufacturing systems, and digital twin for the additive manufacturing process. The paper provides a real-time monitoring system for 3D printing based on the data receiving an approach from different embedded sensors in a real-time regime. The sensors are composed of thermocouples, accelerometers, thermistors, and cameras. Matlab-Arduino support package tools were employed for visualization data from sensors. The advantages of our proposed monitoring system are the simplicity of design and the availability of embedded sensors which can track actual data from the 3D printer machine and interface it through remote monitoring systems.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Smart Information Systems and Technologies (SIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIST54437.2022.9945778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents IoT based real-time monitoring system for 3D printing. However, additive manufacturing or 3D printing allows complex solutions and innovations due to its superior advantages over conventional material removal processes. Monitoring and quality control of the printing process are still challenging to implement. There is a need for research efforts in creating IoT-based monitoring, control systems, smart manufacturing systems, and digital twin for the additive manufacturing process. The paper provides a real-time monitoring system for 3D printing based on the data receiving an approach from different embedded sensors in a real-time regime. The sensors are composed of thermocouples, accelerometers, thermistors, and cameras. Matlab-Arduino support package tools were employed for visualization data from sensors. The advantages of our proposed monitoring system are the simplicity of design and the availability of embedded sensors which can track actual data from the 3D printer machine and interface it through remote monitoring systems.