Mitigation of thermal distortion during additive manufacturing

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

218 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/c28554241a739fe92b672011827b7d16f50680d7

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

• Wire and arc additive manufacturing: Opportunities and challenges to control the quality and accuracy of manufactured parts (2021, background): “DuringWAAM, shrinkage of large pools of liquids during solidification and repeated heating and cooling can result in high residual stresses and defects such as delamination,warping and dimensional inaccuracy [151,152].”
• Revisiting fundamental welding concepts to improve additive manufacturing: From theory to practice (2020, background): “Residual stresses, evaluated by either modelling or experimental approaches, also attracts significant interest by the additive manufacturing community [6,78,109,110] since controlling the residual stress distribution across the parts is critical to optimize mechanical properties and prevent distort”
• Additive manufacturing of metallic components – Process, structure and properties (2018, methodology): “These are intrinsic properties that cannot be changed; however, it is possible that by altering processing parameters like power or scanning speed, the resulting effects can be mitigated [244].”
• 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]:”
• An improved prediction of residual stresses and distortion in additive manufacturing (2017, background): “Distortion is often a crucial issue in AM as it affects the dimensional accuracy of the fabricated part [44,46].”