Advances in the modeling of laser direct metal deposition

By A. Pinkerton. 2015

146 citations recorded by the source corpus.

This paper provides a review of the current state of the art in modeling of laser direct metal deposition and cladding processes and identifies recent advances and trends in this field. The different stages of the process and the features, strengths and weaknesses of models relating to them are discussed. Although direct metal deposition is now firmly in the industrial domain, the benefits to be gained from reliable predictive modeling of the process are still to be fully exploited. The genuine progress there has been in this field in the last five years, particularly in discretized modeling, means modeling cannot be overlooked as an enabling method for academia and industry, but there is still more work to be done.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/2f7c1a76ecfe13c0deddc838a7c98a9989034133

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. W. Y. Yeong
2. Swee Leong Sing
3. Joel Heang Kuan Tan

In Mechanical Engineering

1. W. Y. Yeong
2. Swee Leong Sing
3. Joel Heang Kuan Tan

Citations in the corpus

• Microstructure modelling for metallic additive manufacturing: a review (2020, methodology): “CFD-DEM method has been used for DED processes as well, taking into account gas flow, powder flight and heating as well as interactions with the melt pool (Pinkerton 2015).”