Andrey Molotnikov

Dr. Andrey Molotnikov

Associate Professor

Details

Open to

  • Masters Research or PhD student supervision

About

Dr Andrey Molotnikov is an Associate Professor in Additive Manufacturing and Director of the RMIT Centre for Additive Manufacturing. He is an expert in additive manufacturing and computational materials science and leads the technology theme within the RMIT Centre for Additive Manufacturing with 8 academics, several postdocs and 10PhD students. He holds several patents in the AM field and demonstrated a successful uptake of this technology by industry. Several of his recent research activities deal with 3D printing of multi-materials, high entropy alloys and the in-process monitoring and quality assurance. He has over 80 publications with an h-index = 29 (Scopus) and contributed as CI to two ARC ITRH Hubs, one LP and two LIEF applications. 

Supervisor projects

  • Additive manufacturing and AI
  • 10 May 2023
  • In-depth characterization of additively manufactured titanium high entropy alloys
  • 23 Mar 2023
  • Additive Manufacturing of High Entropy Alloys
  • 8 Mar 2023
  • Modelling of multi-material additive manufacturing using laser-based powder bed fusion
  • 20 Feb 2023
  • Understanding fatigue resistance of AM parts from processing parameters and material properties
  • 17 Feb 2023
  • Multi-Material Additive Manufacturing
  • 3 Feb 2023
  • Aluminium alloys with high performance designed for Additive Manufacturing
  • 23 Jan 2023
  • Maximization of stacking faults in HCP Titanium a precursor for HCP transition to FCC lattice
  • 4 Jan 2023
  • Additively manufactured hierarchical lattice structures
  • 5 Oct 2022
  • CNAM-DC1: Hybrid Architectured Lattice Materials
  • 10 Jun 2022
  • Simulation and Characterisation of Morphology of Meltpool in Electron Beam Powder Bed Fusion of Copper
  • 19 Aug 2021
  • Manufacturing of a Hybrid Die for Aluminium Extrusion Using Additive Manufacturing From H13 Tool Steel
  • 16 Feb 2021
  • Investigation of Laser Powder Bed Fusion of Nickel Aluminium Bronze
  • 22 Jan 2020
  • In-Situ Monitoring and Machine Learning for the Rapid Detection of Morphological Defects in Laser-Based Metal Additive Manufacturing
  • 16 Jan 2020

Research interests

  • Additive Manufacturing
  • Architectured materials
  • Computational materials science
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