Thermo-mechanical model development and validation of directed energy deposition additive manufacturing of Ti–6Al–4V

By Jarred Heigel, P. Michaleris, Edward W. Reutzel. 2015

467 citations recorded by the source corpus.

Subfields: Automotive Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/3ffcdc3fb2519e7b263764a62078afb1cccd6401

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. Wei Zhang
6. W. Y. Yeong
7. J. Elmer
8. Swee Leong Sing

In Mechanical Engineering

1. T. DebRoy
2. T. Mukherjee
3. H. Wei
4. Amitava De
5. J. Elmer
6. Wei Zhang
7. W. Y. Yeong
8. Swee Leong Sing

Citations in the corpus

• Additive manufacturing of metallic components – Process, structure and properties (2018, methodology): “6, thermocouples are another type of device commonly used for temperature measurements [245,271,284,285].”
• Evaluation of a thermomechanical model for prediction of residual stress during laser powder bed fusion of Ti-6Al-4V (2019, methodology): “Material Parameter Determination and Evaluation against Experimental Measurements Temperature dependent material parameters for Ti-6Al-4V were determined by averaging data from multiple sources [20, 34, 35, 36, 37, 38, 39].”
• Microstructure modelling for metallic additive manufacturing: a review (2020, background): “At current stage, most of the work done has linked the thermal simulations to the residual stresses in AM parts (Ding et al. 2011; Heigel, Michaleris, and Reutzel 2015; Yang et al. 2016; Zhao et al. 2017).”
• Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches (2020, background): “The macroscale models have shown to predict with considerable accuracy the residual thermal stress/strain after the part is finished [17, 18].”