As 3D print becomes more successful and dependable, the skill to fabricate just about anything without needing mass production at home is almost unavoidable. This skill to circumvent conventional production will basically decimate present intellectual property (IP) law and allow consumers more independence than before. But that’s been the endgame of 3D print as a theory, and the impetus is most definitely there, shoving on both society and the 3D print business as a whole for the reason that course.
But the 3D print business has a secret weapon. It was founded on the community that did thus is here and the notions of open source technology. There’s already a firm making moves to patent all the various thermoplastics commonly used by 3D printers. If left unchallenged, that may set back the business for decades as well as derail the progress that have been made.
Happily, Pearce was prepared. This week his research team at Michigan Technological University and he published a fresh study supplying an open source algorithm that identifies past use and the obviousness of 3D print material. Present patent law prevents innovations or clear technology from being patented, which can be why things like publications, clocks and radios can be made by anyone. By developing a method to identify clear innovations within the 3D print business, including filaments and thermoplastics, the open source community can efficiently prevent patent trolls looking to innovate via cash as opposed to real initiation from succeeding.
Pearce’s academic paper totally breaks down the concepts of the algorithm, how it works and why it has to be used. It soberly and without pulling any punches explains how the 3D printing industry will be held back by competitive patenting and artificially restrict innovation. In addition, it presents two related case studies that show it’s an effective and workable approach to maintaining the rule of current patent law and open source claims on apparent 3D printing related creations and materials.
The first case study describes how it can be used to refine the hunt for 3D substances that are printable with properties and specific applications. Is this makers searching for a stuff not currently available available on the market and a valuable tool for new companies searching for public domain 3D print materials to help their product developments, but for prosumers. The second case study, and possibly the more competitive move against patent trolling, illustrates the usage of the algorithm to evaluate printed patent applications for signs of too broad claims and obviousness.