Megha Verma en Artificial Intelligence, machine learning, robotics 22/1/2019 · 1 min de lectura · ~100

Machine learning and 3D Printing

The machine is the field of science that gives computers the ability to learn using statistical data techniques. This ability of machines to learn and augment their knowledge allows us to implement them in advanced fields like artificial intelligence, predictive analytics, smart devices, and 3D printing. In simple terms, it mimics the complex decision-making ability of a human mind.

Machine learning and 3D Printing
Many organizations around the world have been working on 3D printing technology. With all the hype, MX3D and Autodesk have been working on a 3D printing project - An entire steel bridge. The project might see completion in the next year so. This bridge serves as a proof of concept for the case of 3D printing and its application in real life. It shows how machine learning robots can teach themselves to get better at 3D printing. The challenge of making big pieces overcame once the team realized that the solution lied in the software. The challenge required the software to change its 3D printing strategy by learning continuously from the process. This, in itself, is the beauty of machine learning that allows 3D printing robots to recognize a problem and device a solution on the fly.

In the field of 3D printing, machine learning has the ability to facilitate, simplify and hasten the development of construction. It will also augment the development of new materials that can offer custom advanced engineering properties required for specific building scenarios.

Machine learning can also automate the extra strengthening process required for 3D printing of specific equipment. Currently, the programmes deployed for it allow to strengthen such parts manually.

Machine learning can teach the 3D printing robots to move the print head to and fro with extreme movements. The ability to motion control the print head will allow it to move from point A to point B with the ability to slow down in between for any directional changes.

Machine learning could also map the variables and potential outcomes of a process and develop a predictive model for additive builds. It can identify the right metal powders to be used for printing with 95% precision. This ability can speed up the process of material qualification for advanced building projects.

Another mentionable field where machine learning is helping to develop smarter processes and products is the automobile industry. Driverless cars are rewriting the rules of the automobile world. Algorithms and sensors are replacing humans behind the wheel. While driverless cars are still in the experimentation and testing stages, the future is all set to welcome these cars which will make commercial driving obsolete in the near future.

Machine learning can be useful in the space of 3D printing as it gives more human mind like capabilities to machines and hence enhances the creative outcome of the process. Most of the advanced 3D printing projects are expensive and with the use of machine learning, the outcomes can be predicted. The best part is unnecessary wastage can also be eliminated from the process. Machine learning like many other fields will be immensely useful in the 3D printing domain.

Conclusion:

Machine Learning is ready to take over the world with its advancements. Hence, various top machine learning companies are looking for new ways to reinvent the technology in different niches.