Object identification in smart foundries

No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
Kemian tekniikan korkeakoulu | Master's thesis
Sustainable Metals Processing
Degree programme
Master's Programme in Chemical, Biochemical and Materials Engineering
There are many manual steps need to be taken to materialize a foundry’s final product. The critical data gathered during these steps are mostly recorded manually via papers, which decrease efficiency of data collection the confidentiality of the data, and cause risk of human errors. Accordingly, there is a significant need for an automated data gathering through intelligent objects and visualization of these data in a digital world in order to improve the foundry ecosystem, sustainable metals processing, contribute material and energy saving, and feed customer demands. The goal of this thesis is to investigate the digital object identification techniques that would contribute to Smart Foundry concept. The thesis is part of the FIN3D (Finnish Industry New Age 3D) project by researching the new methods for utilization of additive manufacturing through contribution to integration of Internet of Things (IoT) in smart foundries. The study focuses on finding methods for digital identification of the objects in foundries and producing intelligent castings, meaning carrying a unique identification and retain or store data about itself while being capable of communicating effectively with (IoT) elements. Interviews are held with three Finnish and one Turkish foundries varies in terms of casting techniques and product types. The information gathered from the interviews resulted a wide problem definition which constructed experimental parts of the thesis. The experiments are divided in two main parts. The first part focuses on a novel method of utilization of additive manufacturing for direct part marking(DPM) of the castings with 2D matrix codes (2D barcodes) in the beginning of production phase. The second part is about integration RFID technology through object identification which is divided in two sub parts; the first episode is the implantation the RFID tags in foundry objects such as molds to digitally trace the consumable objects in a foundry ecosystem, while second episode is mainly about theoretical simulation of the radio frequency functionality through a chipless RFID in a metal part which assumed to be an option for automation in foundries through digital casting identifications. 3D printed 2D codes are successfully utilized creating unique identification DPMs in castings. A practical method for object’s identification via RFID tags are developed and tested. A simple two bits of chipless RFID is simulated in the metallic environment and theoretically proved its feasibility. The experimental processes are analyzed and outcomes are evaluated for further improvements.
Orkas, Juhani
Thesis advisor
Jalava, Kalle
industry 4.0, smart foundry, direct part marking, digitalization, intelligent castings, sustainable metals processing
Other note