AI In-situ Monitoring Detects Fusion Flaws in L-PBF Metal 3D Printing
In-situ process monitoring is the key for validating the quality of AM-made parts and minimizing the need for post quality control. In this collaborative research, in-situ datasets collected from a co-axial photodiode installed in an EOS M 290 were subject to a set of correction factors to remove chromatic and monochromatic distortions from the signal. The corrected datasets were then analyzed using statistical and machine learning algorithms. These algorithms were systematically tuned and customized to detect lack of fusion flaws.
Building the world’s most efficient air-conditioning system in the United Arab Emirates
We believe that by combining Algorithmic Engineering with industrial 3D printing, we can engineer A/C units that, over the cycle of a year, consume only 10% of the energy of a conventional device. After long discussions with Hans Langer, founder of AM giant EOS, I am now convinced that we can do it at scale, and at a price point that is competitive with traditionally manufactured units.
The cost to buy one and operate it for one year should not exceed the same amount of money that you need to invest in an off-the-shelf A/C. This is what’s needed for a tipping point — I think we can do it. It’s going to be super hard and take a lot of effort on many fronts – engineering, manufacturing and industrialization. We have our work cut out for us, and I sincerely hope, we will get it done.