Scaling laws for the additive manufacturing

By A. Rubenchik, Wayne E. King, Sheldon S. Q. Wu. Journal of Materials Processing Technology, 2018

218 citations recorded by the source corpus.

Abstract The evaluation of simple thermal model of selective laser melting (SLM) process shows that the temperature distribution in the sample is characterized by two dimensionless parameters: normalized enthalpy and the ratio of dwell time to the thermal diffusion time. We demonstrated that the melt depth data taken for different machines for different materials collapsed in one curve, making possible to rescale the optimal processing parameters between the different materials and machines. The melt pool depth, width and the length are the universal function of these two parameters. Within the operational range of parameters for SLM these functions can be interpolated by the simple algebraic expressions given the possibility to reduce the calculation of the melt pool characteristic to spreadsheet model.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/72dabf5078ee90f4c7098223def5de7b71915d4f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Telmo G. Santos
2. J. P. Oliveira
3. R. Miranda

In Mechanical Engineering

1. J. P. Oliveira
2. Telmo G. Santos
3. R. Miranda

Citations in the corpus

• Revisiting fundamental welding concepts to improve additive manufacturing: From theory to practice (2020, methodology): “The use of dimensionless numbers in additive manufacturing was already used in [280,281] to gain a clearer understanding on the influence of different process parameters on the quality of the produced parts and to correlate process parameters of different research groups, though it was not introduce”