Projects per year
Personal profile
Biography
Computational materials engineering is a lens through which we focus the resources of a large and complex array of experimental equipment on a problem of industrial importance. We must understand material behaviour across many length scales, from the atomic to the human, and in order to do this take advantage of electron microscopy, X-ray diffraction all the way up to large-scale forging and rolling mills. The resultant understanding permits us not only to model metal deformation, but also to develop new ways in which to design metals for new applications.
Chris is a Professor and Head of the Department of Mechanical and Aerospace Engineering in the Faculty of Engineering at Monash University, and a Chief Investigator in the ARC Centre of Excellence for Design in Light Metals.
His research focuses on understanding the role of crystallographic texture in the deformation of light metals and alloys, and modelling the effects of texture and microstructure on mechanical behaviour.
Chris has received several awards for commercialisation of magnesium alloys and in 2010 was co-recipient of the TMS Light Metals Division Award for best fundamental research in magnesium for the paper: Y.-B. Chun,C.H.J. Davies, "The Evolution of In-Grain Misorientation Axes (IGMA) During Deformation of Wrought Magnesium Alloy AZ31," Magnesium Technology 2010.
My Google scholar page:
Research area keywords
- EBSD
- Metals
- Deformation
- Magnesium
- Titanium
- Modelling
- Texture
- Computational Materials Engineering
Network
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Development of a resorbable stent
Szto, G., Meagher, L., Davies, C., Birbilis, N., Kannar, D. & Pal, N.
1/11/20 → 18/01/24
Project: Research
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Building 4.0 CRC: Better buildings, new efficiencies through technology and collaboration
Aitchison, M., Ngo, T. D., Maxwell, D., Couper, R., Breen Lovett, S., Cumarasamy, S., Blue, K., Laverty, C., Gerber, P., Merkoulova, Y., Sohal, A., Dare, R., Moehler, R., Nicholson, A., Grundy, J., Garcia De La Banda, M., McCormack, J., Vu, L. H., Dwyer, T., Murray, S., Kulic, D., Bai, Y., Davies, C., Zhou, J., Duffield, C., Singh, P. J., Bridge, A., Erol, I., Drogemuller, R. & Mahendran, M.
10/09/20 → 30/06/27
Project: Research
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3D Printing for Reconstruction of Mandible in Head and Neck Cancer
Sigston, E., Molotnikov, A., Meagher, L. & Davies, C.
6/05/19 → 31/12/21
Project: Research
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Identifying novel high-entropy alloys with advanced mechanical properties by combining thermodynamic calculations and 3D printing
Molotnikov, A., Davies, C., Haase, C. & Hallstedt, B.
1/01/18 → 31/12/19
Project: Research
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An X-ray scattering facility for advanced characterisation of natural and novel materials
Wilson, S., Cheng, Y., Davies, C., Guo, Q., Hodgson, P., Hutchinson, C., Kamenetsky, V., Stanford, N. E., Wallace, M., Webb, J., Yang, W. & Zhang, L.
Australian Research Council (ARC), Monash University, Deakin University, La Trobe University, University of Tasmania, University of Melbourne
20/05/13 → 30/04/14
Project: Research
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A macroscale thermal simulation strategy with track-scale resolution for laser powder bed fusion
Liu, M., Chiu, L. N. S., Liu, D., Huang, A., Davies, C., Wu, X. & Yan, W., Feb 2023, In: Materials and Design. 226, 15 p., 111622.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Acoustic emission source characterisation during fatigue crack growth in Al 2024-T3 specimens
Yao, X., Vien, B. S., Davies, C. & Chiu, W. K., Nov 2022, In: Sensors. 22, 22, 18 p., 8796.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
A digital twin hierarchy for metal additive manufacturing
Phua, A., Davies, C. H. J. & Delaney, G. W., Sep 2022, In: Computers in Industry. 140, 14 p., 103667.Research output: Contribution to journal › Review Article › Research › peer-review
10 Citations (Scopus) -
Development of a location optimization method for embedded components
Liu, D., Chiu, L. N. S., Davies, C. H. J. & Yan, W., 27 Aug 2022, In: International Journal of Applied Mechanics. 14, 6, 23 p., 2250066.Research output: Contribution to journal › Article › Research › peer-review
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Effective thermal conductivities of metal powders for additive manufacturing
Liu, M., Chiu, L., Shen, H., Fang, X., Tao, Z., Huang, A., Davies, C. H. J., Wu, X. & Yan, W., Mar 2022, In: Powder Technology. 401, 12 p., 117323.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus)