All Outputs (3)

A novel numerical method to predict the transient track geometry and thermomechanical effects through in-situ modification of the process parameters in Direct Energy Deposition (2019)
Journal Article
Walker, T. R., Bennett, C. J., Lee, T. L., & Clare, A. T. (2020). A novel numerical method to predict the transient track geometry and thermomechanical effects through in-situ modification of the process parameters in Direct Energy Deposition. Finite Elements in Analysis and Design, 169, Article 103347. https://doi.org/10.1016/j.finel.2019.103347

© 2019 Elsevier B.V. Direct Energy Deposition (DED) is being widely used to repair damaged components to increase service life and economical operation. Process parameters including laser power, traverse speed and the mass flowrate of the feedstock m... Read More about A novel numerical method to predict the transient track geometry and thermomechanical effects through in-situ modification of the process parameters in Direct Energy Deposition.

An Automated Inverse Method to Calibrate Thermal Finite Element Models for Numerical Welding Applications (2019)
Journal Article
Walker, T. R., & Bennett, C. J. (2019). An Automated Inverse Method to Calibrate Thermal Finite Element Models for Numerical Welding Applications. Journal of Manufacturing Processes, 47, 263-283. https://doi.org/10.1016/j.jmapro.2019.09.021

Numerical modelling of welding processes is often completed using a sequentially coupled FE thermo-mechanical analysis to predict both the thermal and mechanical effects induced by the process. The accuracy of the predicted residual stresses and dist... Read More about An Automated Inverse Method to Calibrate Thermal Finite Element Models for Numerical Welding Applications.

A holistic inverse approach based on a multi-objective function optimisation model to recover elastic-plastic properties of materials from the depth-sensing indentation test (2019)
Journal Article
Iracheta, O., Bennett, C., & Sun, W. (2019). A holistic inverse approach based on a multi-objective function optimisation model to recover elastic-plastic properties of materials from the depth-sensing indentation test. Journal of the Mechanics and Physics of Solids, 128, 1-20. https://doi.org/10.1016/j.jmps.2019.04.001

Recent years have seen an increased interest in the mechanical characterisation of materials via the inverse analysis of depth-sensing indentation data; however, at low-loads both the reaction forces measured by the instrument and the contact evoluti... Read More about A holistic inverse approach based on a multi-objective function optimisation model to recover elastic-plastic properties of materials from the depth-sensing indentation test.