Multi-scale computational modeling of residual stress in selective laser melting with uncertainty quantification

摘要: Abstract Selective laser melting (SLM) is a powder-based additive manufacturing technique which creates parts by fusing together successive layers of powder with laser. The quality produced highly dependent on the proper selection processing parameters, requiring significant testing and experimentation to determine parameters for given machine material. Computational modeling could potentially be used shorten this process identifying through simulation. However, simulating complete SLM builds challenging due difference in scale between size particles build part produced. Often, continuum models are employed approximate as continuous medium avoid need model individually. While computationally expedient, require inputs effective material properties often difficult obtain experimentally. Building previous works have developed methods estimating these along their uncertainties use detailed models, work presents capable predicting residual thermal stresses an uncertainty estimates. Model predictions compared experimental measurements from literature.