In-Situ Monitoring and Quality Control in Metal Additive Manufacturing

EasyChair Preprint 14210

Abstract

Metal additive manufacturing (AM), commonly known as 3D printing, has revolutionized the manufacturing industry by enabling the creation of complex and customized components. However, ensuring the quality and consistency of the produced parts remains a significant challenge due to the intricate nature of the processes involved. In-situ monitoring and quality control are critical to overcoming these challenges and achieving high-quality production.

In-situ monitoring involves real-time observation and analysis of the manufacturing process, enabling immediate detection of defects and deviations from the desired parameters. This approach utilizes various sensors and techniques, including optical imaging, thermography, acoustic emission, and spectroscopy, to capture data on aspects such as temperature, melt pool dynamics, layer formation, and surface quality. Advanced data analytics and machine learning algorithms are then employed to interpret the collected data, predict potential defects, and provide feedback for process optimization.

Keyphrases: Metal Additive Manufacturing, in-situ monitoring, quality control

@booklet{EasyChair:14210,
  author    = {Favour Olaoye and Abram Gracias and Peter Broklyn},
  title     = {In-Situ Monitoring and Quality Control in Metal Additive Manufacturing},
  howpublished = {EasyChair Preprint 14210},
  year      = {EasyChair, 2024}}