Senvol receives U.S. Navy funding to develop machine learning-based sensor fusion for metal additive manufacturing.

Aim: To demonstrate the potential of in-line nanoparticle size measurements using the NanoFlowSizer (NFS) as a PAT method. To achieve real-time process control by establishing automated regulation of ...

In this article, the most common errors occurring at different stages of the semiconductor fabrication process and the strategies to mitigate them are discussed. The ever-growing complexity of the ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Increasingly tight tolerances and rigorous demands for quality are forcing chipmakers and equipment manufacturers to ferret out minor process variances, which can create significant anomalies in ...

Developing a medical device is a lengthy process. Prior to commercial distribution, FDA requires that the manufacturing process for the product be validated. Process validation is defined as the ...

So, wire arc additive manufacturing, or WAAM as folks in the know call it, is pretty neat. It’s basically a fancy way to ...

A platform approach to bioprocessing uses the same set of protocols and systems found during early phase development. Scientists then transfer the protocols, by either scaling-up or scaling-out, ...

Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...

Biopharmaceuticals (or biologics) are produced using biological-expression systems (such as mammalian, bacterial, insect cells, etc.), which have spawned a vast biopharmaceutical industry ...