Welcome to the Manufacturing Station with Industry 4. 0 concepts. Here we are going to see in practice the whole manufacturing cycle, applying Smart Manufacturing concepts.
Step one: Customising the product using data sent via: smartphones, tablets, desktops, or displays like this one used in the cell. Concept: Internet of Things (IoT) Once complete, the customer is sent a QR-code which will be used to pick up the customised product. Step two: Data is transmitted to the system using an external platform.
Applied concepts: Cloud-based data handling and Internet of Services (IoS). Step three: the KUKA robot receives the signal via the PLC to initiate the process. It takes a blank from the stock, according to the customisation settings, and places it in front of the RFID recorder, which records all the relevant manufacturing data on the workpiece.
The workpiece itself runs the process, applying Smart Product and Smart Factory concepts. Step four: Data is received by Vero Software’s Edgecam platform, which generates an NC program. This program data is sent to the ROMI machine tool, employing the concept of Cyber-Physical Systems.
Step five: Prior to the machining process, the software controls an m&h machine-tool probe from Hexagon to align the workpiece. Only then can the machining process take place. Step six: A photoelectric position sensor detects the presence of a workpiece, but does not identify exactly which piece it is.
Concept: decentralised manufacturing Step seven: The next robot receives the signal, takes the piece, and puts it in the RFID Reader to identify the unique customisation parameters and continue measuring the workpiece. This example includes two models, prismatic or curved. Step eight: Once the customisation is detected, the same robot puts the piece in the appropriate machine and automatically identifies which measuring program should run.
Applied concepts: Smart Product, Machine-to-machine (M2M) communication and RFID Step nine: All measuring results, whether they are made on the coordinate measuring machine or by the machine-tool probe, are sent to the Q-DAS statistical software platform, controlling and managing production capability. Finally, the user inputs the QR-code into the reader, which detects the piece. The laser engraves the information originally programmed by the user for future traceability and delivers a 100% customised product.
Automatic safety systems with smart Plug and Play sensors were also used, such as optical barriers with ASI protocol. The integration work in this example was done by Autentica Engenharia, partnering with several companies. We believe this is the future of world industry.
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