Výsledky vyhledávání - "Zoran Sterjovski"

A Comparison of Statistically Equivalent and Realistic Microstructural Representative Volume Elements for Crystal Plasticity Models

Autor: Fatemeh Azhari, William Davids, Hansheng Chen, Simon P. Ringer, Chris Wallbrink, Zoran Sterjovski, Bruce R. Crawford, Dylan Agius, Chun H. Wang, Graham Schaffer

Publikováno v: Integrating Materials and Manufacturing Innovation. 11:214-229

Two methods used to construct a microstructural representative volume element (RVE) were evaluated for their accuracy when used in a crystal plasticity-based finite element (CP-FE) model. The RVE-based CP-FE model has been shown to accurately predict

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18144e186cbe29f263871f88c5f6751d
https://doi.org/10.1007/s40192-022-00257-4

Zobrazit plný text záznamu

The effects of multiple repair welds on a quenched and tempered steel for naval vessels

Autor: Pragathi Dissanayaka, Huijun Li, Stephen van Duin, Joe Donato, Kristin R Carpenter, Dan Miller, Mikael Johansson, Zoran Sterjovski, Azdiar A. Gazder

Publikováno v: Welding in the World. 65:1997-2012

Significant cost and time savings may be realised if multiple weld repairs are undertaken at the same location during the long-term maintenance of naval vessels. Consequently, this investigation simulates full-thickness hull welds, which are required

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d485f729494fab29634805d26c0a15e
https://doi.org/10.1007/s40194-021-01150-y

Zobrazit plný text záznamu

Predicting the complete tensile properties of additively manufactured Ti-6Al-4V by integrating three-dimensional microstructure statistics with a crystal plasticity model

Autor: Dylan Agius, Zoran Sterjovski, Chris Wallbrink, Adrian Menzel, Fatemeh Azhari, Chun H. Wang, G. B. Schaffer, Bruce R. Crawford

Publikováno v: International Journal of Plasticity. 148:103127

A multiscale finite element model integrating microstructure statistics with an enhanced three-dimensional (3D) crystal plasticity model including damage has been developed to predict the complete tensile stress-strain response of Ti-6Al-4V manufactu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6cec289cf1d250450d336ef20a3b568d
https://doi.org/10.1016/j.ijplas.2021.103127

Zobrazit plný text záznamu

Integrating phase field and crystal plasticity finite element models for simulations of titanium alloy Ti-5553

Autor: Chris Wallbrink, Patrick O'Toole, Chun H. Wang, Dylan Agius, G. B. Schaffer, Zoran Sterjovski

Publikováno v: Journal of Physics: Materials. 4:044014

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 o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec9e00a5258dae450f557ea4f79aafe9
https://doi.org/10.1088/2515-7639/ac194f

Zobrazit plný text záznamu

Pad-Weld Repairs of in-Service High-Strength Steel Plate used in Seawater Environments

Autor: Zoran Sterjovski

Publikováno v: Welding in the World. 54:R173-R181

In seawater environments, naval platform hulls made from high-strength steel plate may be susceptible to pitting corrosion. This form of corrosion can occur as a result of inadequate cathodic protection, coating degradation and the presence of sulpha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b96b4df051a035be43d7fb77e8b9f98
https://doi.org/10.1007/bf03263503

Zobrazit plný text záznamu

Artificial neural networks for predicting diffusible hydrogen content and cracking susceptibility in rutile flux-cored arc welds

Autor: David J Nolan, Mike Pitrun, Zoran Sterjovski, Druce P Dunne, John Norrish

Publikováno v: Journal of Materials Processing Technology. 184:420-427

The aim of the current work was to build and validate a back propagation artificial neural network (BPANN) to predict the level of diffusible hydrogen (HD) based on a variety of flux-cored arc welding (FCAW) parameters such as welding current, contac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c588cc7473fba4c4168155e46c6652c6
https://doi.org/10.1016/j.jmatprotec.2006.12.012

Zobrazit plný text záznamu

Artificial neural networks for modelling the mechanical properties of steels in various applications

Autor: Druce P Dunne, Kristin R Carpenter, Zoran Sterjovski, John Norrish, David J Nolan

Publikováno v: Journal of Materials Processing Technology. 170:536-544

The application of artificial neural networks (ANNs) in predicting some key properties of steels is discussed in detail. This paper reports on the effectiveness of three back-propagation artificial neural network models that predict (i) the impact to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f59da12eafea0701663e3377424137a2
https://doi.org/10.1016/j.jmatprotec.2005.05.040

Zobrazit plný text záznamu

Hardness prediction models based on HAZ simulation for in-service welded pipeline steels

Autor: Zoran Sterjovski, David J Nolan, Druce P Dunne

Publikováno v: Science and Technology of Welding and Joining. 10:681-694

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 considerati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb4bfe265bf403e9c870f9bfd186ccaa
https://doi.org/10.1179/174329305x65069

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání