Sydney, Lucas Heights
Opportunity expired
Background
Laser metal deposition (LMD) is an additive manufacturing (AM) process that utilizes a laser beam to form a pool of liquid metal on the surface of metallic substrate into which metal powder is injected forming a deposit on the substrate after solidification. In comparison to powder-bed techniques, LMD allows for much higher deposition rate thus allowing building/repairing larger engineering structures. These make LMD process an attractive manufacturing/repair process for many energy, aerospace, and defence applications. Despite the major advantages of LMD process, there is, however, a continuous need to develop a full understanding of the process–structure–property relationships.
The main emphasis is on the development of an in-depth understanding of the effects of a large number of process variables on the ongoing metallurgical processes (such as grain growth, segregation, defect formation, etc.), residual stresses, distortion which affect resulting mechanical properties – these are crucial for any in service applications. In-depth understanding of processes taking place during any AM manufacturing process would address a long-standing challenge to reduce component/repair failure due to the residual stress field, extensive distortion or microstructural defects. A multiscale physics-based modelling framework is required to elucidate the interrelationship between LMD/AM processing parameters and resulting microstructure governing properties of an additively-manufactured component or a repair.
Project Information
The current project will focus on the development of multi-scale models of the LMD process. To uncover the complex interdependencies between various LMD process parameters, we will first develop multiscale physics-based methodologies comprising of meso-scale models for predicting the resulting microstructure (grain size, texture, etc.) and its effects on mechanical properties, and macro-scale models that predict the residual stress field and distortion. We aim to utilize the phase-field mathematical framework to capture the solidification process and grain growth during the LMD process.
These results will be then fed into the crystal plasticity models to capture microstructure-properties relationship. Finally, the validated predictions from the developed meso-scale models will serve as input for macro-scale models that predict the overall residual stress field, microstructure, and distortion. In developing these methodologies, it is important to establish the accuracy of developed numerical models by comparing predictions with experimental results using well-defined benchmark specimens – these will be prepared by the industrial partners.
The long view goal of the project is to develop validated numerical models which can assist a large range of industries wishing to utilize AM process for building/repairs of engineering components. The developed models will help in understanding of the process–structure–property relationship and thus assist with the rapid optimisation of the LMD process for various applications.
Funding And Support
This project is supported by ANSTO via FutureNow Plus scholarship and by our industrial and academic partners: DMTC (Defence Materials Technology Centre), DSTG (Defence Science and Technology Group), and Swinburne University (host university).
The successful PhD candidate is expected to work collaboratively across all involved organisations.
The student will receive a full FutureNow PhD scholarship of $35k/year, or a combination of $15k/year top-up and the Australian Government Research Training Program (RTP) stipend scholarship.
Additional funding of $10k/year from ANSTO's FutureNow Plus is available for travel and consumables of the project.
Application Details
A background in materials engineering, mathematics, physics or mechanical engineering is welcome.
We value diversity and encourage applicants from all backgrounds to apply, however, this program is open to Australian citizens only.
Project management, mechanical design, document reviews, inspection of mechanical systems, reading technical drawings, liaising with contractors and suppliers
Research scientist, running experiments, preparing samples for analysis by specialist facilities on site, data analysis, reading literature, potentially writing papers
As someone very new to my role, i undertake a lot of lab work under the direct supervision of my supervisor. he and i work together as a team in the lab. outside of the lab, as i am still learning about the area, i am writing a literature review with the goal of increasing my understanding and perhaps publication.
4.1
1,000 - 50,000 employees
Government & Public Service
To find solutions ANSTO operates much of Australia’s landmark infrastructure including one of the world’s most modern nuclear research reactors, OPAL.
A lot of training opportunities and good pay for a graduate position. Great support and team culture. I have had good opportunities to get involved with events and projects.
Flexibility, technological and research infrastructure, high level of responsibility
Great research facilities, good work-life balance and flexibility, good amount of responsibility
The unique science and engineering challenges. it is a really great place to learn about a whole load of different industries and really expand your skills.
Diverse company with many different opportunities
Being government the work pace can be a bit slow at times.
The location is far away from almost everything, commute to work is tedious.
Being home to a nuclear reactor, the location of ANSTO is quite far away from the centre of Sydney and there are limited options for getting to work through public transport.
As with any big organisation, there are some bureaucratic-type challenges, but these are constantly improving.
Some days are very paperwork/documentation-based. few ongoing roles for scientific staff. higher-level management appears to be gutting the research out of the organisation.