Deep learning-based image segmentation for defect detection in additive manufacturing: an overview
Sourabh Deshpande,
Vysakh Venugopal,
Manish Kumar
et al.
Abstract:Additive manufacturing (AM) applications are rapidly expanding across multiple domains and are not limited to prototyping purposes. However, achieving flawless parts in medical, aerospace, and automotive applications is critical for the widespread adoption of AM in these industries. Since AM is a complex process consisting of multiple interdependent factors, deep learning (DL) approaches are adopted widely to correlate the AM process physics to the part quality. Typically, in AM processes, computer vision-base… Show more
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