Zoran Sterjovski
Zoran Sterjovski has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Chris Wallbrink
Defense Science and Technology Organisation
1 shared publication - Chun Hui Wang
School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia
1 shared publication - David J. Nolan
BioInfoExperts, LLC, Thibodaux, LA 70301, USA
1 shared publication - Druce Dunne
University of Wollongong
1 shared publication - Dylan Agius
Solid Mechanics Research Group, Department of Mechanical Engineering, University of Bristol, United Kingdom
1 shared publication - G B Schaffer1 shared publication
Latest Publications
- Open Access
- 7 September 2021
- Published by IOP Publishing in Journal of Physics: Materials
- Vol. 4 (4) , 044014
Integrating phase field and crystal plasticity finite element models for simulations of titanium alloy Ti-5553
The ability to simultaneously predict the microstructure and bulk material properties of 3D printed (additively manufactured or AM) metals is critical to the development of process intelligence that can be used by a digital-twin for forecasting and optimising alloy composition and fabrication parameters. This study proposes a simulation framework for predicting the microstructure and corresponding meso- and macro-scale properties of AM materials. This is achieved by integrating phase-field and crystal plasticity modelling techniques, whereby the phase field model predicts the microstructure and the crystal plasticity constitutive model computes the stress–strain evolution using the microstructure as the input. The simulation of multiple microstructures demonstrates that this integrated approach can be used to test the influence of different microstructures on the mechanical properties of titanium alloy Ti-5553. This includes the influence of grain size and grain orientation on both the meso- and macro-scale behaviour.
- 7 September 2021
- Published by IOP Publishing in Journal of Physics: Materials
- Vol. 4 (4) , 044014
Open AccessIntegrating phase field and crystal plasticity finite element models for simulations of titanium alloy Ti-5553
The ability to simultaneously predict the microstructure and bulk material properties of 3D printed (additively manufactured or AM) metals is critical to the development of process intelligence that can be used by a digital-twin for forecasting and optimising alloy composition and fabrication parameters. This study proposes a simulation framework for predicting the microstructure and corresponding meso- and macro-scale properties of AM materials. This is achieved by integrating phase-field and crystal plasticity modelling techniques, whereby the phase field model predicts the microstructure and the crystal plasticity constitutive model computes the stress–strain evolution using the microstructure as the input. The simulation of multiple microstructures demonstrates that this integrated approach can be used to test the influence of different microstructures on the mechanical properties of titanium alloy Ti-5553. This includes the influence of grain size and grain orientation on both the meso- and macro-scale behaviour.
- 1 December 2005
- Published by SAGE Publications in Science and Technology of Welding and Joining
- Vol. 10 (6) , 681-694
Hardness prediction models based on HAZ simulation for in-service welded pipeline steels
Welding onto pressurised pipelines that contain flammable fluid to facilitate repairs or branch connections, is a critical procedure with considerable risk to personnel and infrastructure. Limiting the heat input is obviously an important consideration to prevent ‘burn-through’, but the potential for rapid cooling of the weldment increases its susceptibility to hydrogen assisted cold cracking (HACC). Therefore, one of the most important factors for in-service welding procedure development relates to the increased risk of formation of hard, brittle microstructures in the grain coarsened heat affected zone (GCHAZ) of the weld, microstructures that increase the risk of HACC. The present work has been successful in utilising heat treatment simulations to derive two new hardness prediction models that more accurately predict hardness in the GCHAZ for typical in-service welding applications than a commercially adopted and widely used hardness prediction algorithm. Although it is acknowledged that further work is required to validate the models for a wider range of in-service welding conditions, the performance of the models demonstrates their potential for developing improved in-service welding procedures.
- 1 December 2005
- Published by SAGE Publications in Science and Technology of Welding and Joining
- Vol. 10 (6) , 681-694
Hardness prediction models based on HAZ simulation for in-service welded pipeline steels
Welding onto pressurised pipelines that contain flammable fluid to facilitate repairs or branch connections, is a critical procedure with considerable risk to personnel and infrastructure. Limiting the heat input is obviously an important consideration to prevent ‘burn-through’, but the potential for rapid cooling of the weldment increases its susceptibility to hydrogen assisted cold cracking (HACC). Therefore, one of the most important factors for in-service welding procedure development relates to the increased risk of formation of hard, brittle microstructures in the grain coarsened heat affected zone (GCHAZ) of the weld, microstructures that increase the risk of HACC. The present work has been successful in utilising heat treatment simulations to derive two new hardness prediction models that more accurately predict hardness in the GCHAZ for typical in-service welding applications than a commercially adopted and widely used hardness prediction algorithm. Although it is acknowledged that further work is required to validate the models for a wider range of in-service welding conditions, the performance of the models demonstrates their potential for developing improved in-service welding procedures.