A Cloud-Based Cyber-Physical System with Industry 4.0: Remote and Digitized Additive Manufacturing

With the advancement of additive manufacturing (AM), or 3D printing technology, industries are driving towards Industry 4.0 for dynamic changed in customer experience, data-driven smart systems, and optimized production processes. This has pushed substantial innovation cyber-physical systems (CPS) through integration sensors, Internet-of-things (IoT), cloud computing, data analytics leading to process digitization. However, computer-aided design (CAD) is used generate G codes different parameters input printer. To automate whole process, this study, a customer-driven CPS framework developed utilize requirement directly from website. A platform, Microsoft Azure, send that fused diffusion modelling (FDM)-based printer automatic process. machine learning algorithm, multi-layer perceptron (MLP) neural network model, been utilized optimizing cloud. For cloud-to-machine interaction, Raspberry Pi get access Azure IoT hub studio, where generated algorithm automatically evaluated determines most suitable value. Moreover, system improve product quality synchronization CAD model inputs platform. Therefore, customer’s desired will be available with minimum waste, less human monitoring, interaction. The contributes insight developing cloud-based digitized, automatic, remote merging technologies bring flexibility, agility, automation AM