Maxim Donates Unique Robotic Learning Factory to University College DublinMonday, 17 December, 2018
Pictured (l-r) are UCD engineering students; Sarah Brady, Anthony Newell and Axieh Bagasol. (Nick Bradshaw, Fotonic).
Engineering students at University College Dublin (UCD) will have the opportunity to gain hands-on experience with Industry 4.0 principles using an automated football factory demo donated to the University by Maxim Integrated Products, Inc. (NASDAQ: MXIM). The demo integrates several of the company's adaptive manufacturing technologies, including the recently announced Go-IO industrial internet of things (IIoT) reference design.
In a world of rapidly evolving production technologies, the donation to the UCD School of Mechanical and Materials Engineering will help current students and future engineers learn the principles of a smart factory and how to design fully automated and intelligent production equipment with self-diagnostic and adaptive capabilities.
The football factory commences with regulation-size footballs and tests them for weight, air-pressure, bounce height and roundness. The footballs are handled by an industrial robot, and the entire assembly line is controlled wirelessly by an iPad® app.
The demo also showcases the principles of adaptive/flexible manufacturing, where the production system embodies a level of flexibility to react to different environmental conditions, product variations, specification changes or even product options.
Not only is this demo optimised to test size five footballs; it can also be configured on-the-fly to test different-sized footballs, such as size four and size three. When such smaller footballs are inserted at random in the production line, the demo factory identifies the product variation and re-adjusts the different sensor calibrations as well as the robotic software to process the appropriate-sized balls.
"This factory gives UCD students as well as our academic staff, particularly those from mechanical, electrical and control engineering and computer science, the opportunity to experiment and learn how to design future production facilities, which are highly connected, increasingly intelligent and even self-aware," said Professor Denis Dowling, UCD School of Mechanical and Materials Engineering and Director of I-Form, the SFI Advanced Manufacturing Research Centre.
"We are very grateful for this donation in the form of a state-of-the-art production facility in a small format and are pleased to be able to deepen our co-operation with Maxim, which has its European headquarters in Dublin."
"Our football factory has been pivotal in demonstrating the concepts of Industry 4.0 based on the capabilities of our third-generation industrial factory automation chipset that embodies the Go-IO IIoT reference design, most recently at electronica, the world's leading trade fair for electronics," said Jeff DeAngelis, Managing Director, Industrial & Healthcare Business Unit, at Maxim Integrated.
"We are very happy that we can now pass the factory on to good hands to help educate a new generation of students and prepare them for the technological challenges of the future."
The Go-IO IIoT reference design is the backbone for this digital football factory. It consists of Maxim's new third-generation industrial automation chipset made up of 12 highly integrated ICs, 17 IOs supporting multiple digital IO configurations, a 4-channel IO-Link master to provide a universal IO interface to both analog and digital sensors and a robust 25Mbps isolated RS-485 communications channel that provides a reliable, multi-drop data network for uploading time-sensitive health and status information into the cloud.
The football factory demo epitomises an Industry 4.0 factory that is locally controlled by a programmable logic controller (PLC) reference design driving a host of intelligent sensors that communicate the factory's health and status information to enable real-time decision-making to optimise productivity.
The advantage of having a small, distributed PLC working in conjunction with smart, IO-Link-enabled sensors is that changes in the assembly line can be affected at a local level and in real time.
Details about Go-IO: https://www.