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ANSTO

4.0
  • 1,000 - 50,000 employees

2021 FutureNow Plus Scholarship - Laser-based Additive Manufacturing - PhD position

Lucas Heights

Opportunity Expired

Development of Multi-Scale Models to Simulate the Laser-based Additive Manufacturing Process for Energy, Aerospace and Defence applications.

Opportunity details

Opportunity Type
Graduate Job
Number of Vacancies
1
Start Date
Ongoing

Application dates

Applications Close
31 Oct 2021

Minimum requirements

Minimum Prior Qualification
Bachelor
Accepting International Applications
No
Qualifications Accepted
E
Aerospace Engineering
Air Traffic Control
Aircraft Maintenance Engineering
Aircraft Operation & Aviation
Automotive & Transport Engineering
Chemical Engineering
Civil Engineering & Construction
Communications Engineering
Electrical & Electronic Engineering
Engineering Management
Environmental Engineering
Fire & Safety Engineering
Geomatic Engineering
Manufacturing Engineering
Marine Engineering
Materials Engineering
Mathematics & Statistics
Mechanical Engineering
Mining Engineering
Petroleum Engineering
Renewable Energy Engineering
Robotics & Mechatronics Engineering
Engineering & Mathematics (all other)
Geotechnical Engineering
S
Agribusiness
Agricultural Science
Aquaculture & Fisheries
Viticulture
Biochemistry
Biology
Chemistry
Earth Sciences
Ecology & Evolution
Environmental Studies
Forestry Studies
Parks & Wildlife Management
Food Science
Forensic Science
Genetics
Geology
Laboratory Technology
Marine Science
Physics & Astronomy
Veterinary Science
Sciences (all other)
Spatial Science

Hiring criteria

Entry pathway

See details

Working rights

Citizen

    Read more

    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.

    Hiring criteria

    You should have or be completing the following to apply for this opportunity.

    Entry pathway
    Degree or Certificate
    Minimum Level of Study
    Bachelor or higher
    Study Field
    E
    Aerospace Engineering
    Air Traffic Control
    Aircraft Maintenance Engineering
    Aircraft Operation & Aviation
    Automotive & Transport Engineering
    Chemical Engineering
    Civil Engineering & Construction
    Communications Engineering
    Electrical & Electronic Engineering
    S
    Agribusiness
    Agricultural Science
    Aquaculture & Fisheries
    Viticulture
    Biochemistry
    Biology
    Chemistry
    Earth Sciences
    Ecology & Evolution

    Work rights

    The opportunity is available to applicants in any of the following categories.

    country
    eligibility

    Citizen

    Citizen

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