University Researchers Creating Intelligent System to Support Hybrid Manufacturing for Industrial 3D Printing Applications

Hybrid manufacturing combines both additive and subtractive manufacturing technology in a single machine system, like equipping a CNC machine with 3D printing capabilities, to make things like propellers and advanced nuclear fuels. Many say it’s the future of the manufacturing industry, and University of Windsor PhD student Shane Peelar seems to agree. The computer science researcher, and his supervisor Luis Rueda, recently received an Ontario Centres for Excellence (OCE) Talent Edge Program fellowship to create an intelligent system that supports hybrid manufacturing.

The system is for industry partner CAMufacturing Solutions Incorporated, which develops CAD/CAM software for companies that use 3D printing together with traditional manufacturing methods like casting or welding.

CAMufacturing Solutions president Bob Hedrick says about 3D printing, “This is so cool because it is a brand-new manufacturing process. People have been machining, casting and forging for hundreds of years, where artisans and craftsmen taught each other — but this technology is coming directly from academic research, from the high-end down.”

The computing R&D partnership between Peelar and Rueda and CAMufacturing Solutions, which will run for 16 months, will support industrial 3D printing applications, and tackle any challenges by writing advanced computer code to solve them.

As we know, 3D printing technology requires users to send digital data to the 3D printer itself, which will then print the part. But according to Peelar, it’s not always easy to get the engineering workstation computers so often found in machine shops to properly handle these large amounts of data.

Peelar explained, “The computational requirements of additive manufacturing for Computer-Aided Design/Computer-Aided Manufacturing or CAD/CAM software are a lot bigger than traditional methods — the datasets are very large and more suited to be performed on super-computers than PCs, and it is not uncommon for companies to want to run these programs on older hardware, computers that are four or five years old.

“We need to design scalable algorithms that can run and perform on older and newer hardware to allow additive manufacturing operations to be performed in a reasonable amount of time because companies don’t want this process to take eight hours; they want the software to run and produce parts in real time.”

CAMufacturing provides software to different manufacturing companies to build real end products, and not just replicas. These parts aren’t cheap, and could cause damage if they aren’t structurally sound. So getting the computers in the machine shop to work properly, starting with 3D modeling, is imperative for business.

“These are real machine tools, complex tools you can put right onto a robot to start working in the shop. We work with all sorts of industries — automotive, military, medical, mould shops, and aerospace companies. There is no end to the application of this,” Hedrick said.