Additive manufacturing (AM), also known as 3D printing, generally refers to techniques that produce three-dimensional parts by adding material gradually in a layer base, which differs fundamentally from subtractive techniques.
This special session intends to put together research on the predicative modeling and control of AM for high quality built products. Recent advances in processing techniques, sensing, computational modeling, and simulation have enhanced AM technologies to achieve the capability of direct manufacturing. However, achieving geometric fidelity of AM built products is still a challenging issue. As complex parts become easier to build and the equipment and skills needed to build them become more and more common, innovative approaches are needed in the area of predicative modeling and control of AM. The potential topics of this special session include, but are not limited to:
- Predictive modeling of AM processes
- Feed forward and feedback control of AM processes
- Statistical monitoring and control of AM processes
- Statistical modeling and characterization of 3D printed products