The infotainment cluster final assembly line integrated 14 assembly machines, all able to adapt to the needs of four different variations of the product. The line is expected to produce around 6.5 million products in its six-year lifetime, with a peak production rate of 1.5 million parts per year.
A key feature of this line is the automatic changeover mechanism. It allows for seamless transitions between products, taking less than 5 minutes for each changeover. This efficiency ensures minimal downtime and optimizes production rates.
Components are systematically delivered using trays, fed into an automatic tray loader with a buffer zone for continuous operation. Robots equipped with a dual vision system pick components from the trays. The first vision system, positioned above the trays, verifies component tolerances and tracks codes for MES traceability. Any component failing the criteria is automatically rejected. The second vision system inspects the component’s position in the robot’s gripper and for any missed defects.
Screwing components presented another challenge, especially given the tight time constraints. Automatic screwdrivers, mounted on 6-axis robots, are used to screw components with high speed and precision. These robots can screw up to four screws in under 26 seconds, with the locations of the screws often being on opposite sides and at specific angles relative to each other, varying slightly for either of the four end products.
At the end of the line, products undergo a final automated check before proceeding to the second part of the line for final testing. This process is executed by a robot using a simple pick-and-place operation. The dual vision systems ensure only quality parts make it to assembly, while the automatic tray loader and quick robot operations maintain a non-stop flow of components, optimizing production rates.
The line requires a single operator-controlled work point. After an operator connects the FFCs (flat flexible cables) and closes the connector fixture, a robot equipped with sensors and a vision system verifies the accuracy of the connections.