default author photo

Francesco Careri

University of Birmingham

Edgbaston, B15 2TT

United Kingdom

SCHOLARLY PAPERS

1

DOWNLOADS

125

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

A Novel Porosity Prediction Framework Based on Reinforcement Learning for Process Parameter Optimization in Additive Manufacturing

Number of pages: 5 Posted: 13 May 2024
University of Birmingham, University of Birmingham, TWI Ltd., Guangdong University of Technology and University of Birmingham
Downloads 125 (584,619)

Abstract:

Loading...

Reinforcement learning, additive manufacturing, Defects, Process optimization.