Dimensionless numbers in additive manufacturing

By T. Mukherjee, V. Manvatkar, Amitava De, T. DebRoy. 2017

177 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/072e2cf0da53e29b754f13076a0d197f1d2d49be

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. T. Mukherjee
2. T. DebRoy
3. H. Wei
4. Amitava De
5. J. P. Oliveira
6. Telmo G. Santos
7. Wei Zhang
8. R. Miranda

In Mechanical Engineering

1. T. DebRoy
2. T. Mukherjee
3. H. Wei
4. Amitava De
5. J. Elmer
6. J. P. Oliveira
7. Wei Zhang
8. Telmo G. Santos

Citations in the corpus

• Residual stresses in wire-arc additive manufacturing – Hierarchy of influential variables (2020, background): “10 (a) which is responsible for the evolution of residual stresses, is primarily governed by the heat input per unit length of the deposit (arc power/scanning speed) [38].”
• Mitigation of lack of fusion defects in powder bed fusion additive manufacturing (2018, methodology): “Effects of Marangoni stress is quantified by the Marangoni number [31,32]:”
• Additive manufacturing for energy: A review (2020, background): “It has been established that thermal distortion is affected by several AM conditions and can be evaluated using strain parameter (ε* ) [167,169]:”
• 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”
• Additive manufacturing of metallic components – Process, structure and properties (2018, background): “Several non-dimensional numbers have been used to understand the effects of various AM process variables and material properties on microstructure, properties and defects of the additively manufactured components [143,151].”
• Fusion zone geometries, cooling rates and solidification parameters during wire arc additive manufacturing (2018, unknown): “A Péclet number significantly greater than one indicates that convection of molten metal dominates the heat transfer inside the molten pool [41].”