A real-time correction system and open-access data release aim to reduce failed builds and material waste in metal additive manufacturing.

A new study by Texas A&M University researchers has further refined the process of creating superior metal parts using laser powder bed fusion 3D printing techniques. With a combination of machine ...

Researchers can now detect the formation of keyhole pores, one of the most challenging defects common in additive manufacturing, with incredible accuracy. A research team led by Tao Sun, associate ...

Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...