A machine learning approach of lattice infill pattern for increasing material efficiency in additive manufacturing processes

• Main Authors: Alejandrino, Jonnel D., Concepcion, Ronnie S., Lauguico, Sandy C., Tobias, Rogelio Ruzcko, Venancio, Leonardo A., Macasaet, Dailyne, Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2020
• Subjects: Additive manufacturing; Lattice theory; Machine learning; Three-dimensional printing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1395; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2394/type/native/viewcontent
• Institution: De La Salle University

Additive Manufacturing (AM) has become ubiquitous in manufacturing three-dimensional objects through 3D printing. Traditional analytical models are still widely utilized for low-cost 3D Printing, which is deficient in terms of process, structure, property and performance relationship for AM. This pa...