Digital Twin and IIoT in Optimizing Manufacturing Process and Quality Management
The end-to-end application also benefits from the security , scalability and reliability in part provided by the cloud-native distributed architecture in the platform , freeing the application developers from concerns about system security , performance and reliability in their development .
3.6 Product Digital Twin
The concept of equipment digital twin is well understood . However , the concept of product digital twin in production is relatively less reported . Both the equipment and product digital twins play important role in production process and product quality management as reported in this article .
For material product ( in contract to machine or electronic device product ) such a steel , the product in production subjects to various transformations , including in physical form ( solid and liquid ), physical properties ( e . g ., temperature ), shape , surface properties , and micro-structure through chemical reactions , thermal and mechanical processes . Many of the transformation outcomes are not directly measurable in real time , either not easily measurable by simple sensors , or the sensors could be easily destroyed subjected to the harsh processing environment ( e . g ., in high temperature during heat treatment ). Some properties such micro-structure requires lab tests that will take hours or days to complete . Therefore , except for a few relatively simple tests , such as hardness or surface properties , the quality of steel product relies heavily on ensuring the accuracy and stability of production process control . The process control data are properties of the production equipment and are relatively easy to collect from the equipment control systems .
Fig . 3-9 : A screenshot of a product tracking page for a heating furnace with a 3D model tracking product locations and time within the furnace , and temperature variations .
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