Master Thesis: Grain size analysis from SEM/LOM images – using EBSD data to

Publiceringsdatum: 2024-09-10

Letar du efter möjligheter att arbeta inom yrken med teknisk inriktning? Nu har du chansen att börja jobba som civilingenjör, forskning och utveckling, kemi hos SWERIM AB. SWERIM AB söker för närvarande efter personal på heltid för en tjänst 3 månader – upp till 6 månader. Kolla in deras jobbannons för mer information.

Om du redan bor i närheten av Stockholm, är det här din chans att söka ett spännande jobb Företaget SWERIM AB erbjuder just nu spännande karriärmöjligheter. Om du vill jobba som civilingenjör, forskning och utveckling, kemi har de nu ett ledigt jobb - kolla in annonsen för att se om du har rätt erfarenhet. Du har fortfarande tid att söka jobbet som civilingenjör, forskning och utveckling, kemi hos SWERIM AB om du sickar in din ansökan senast sista ansökningsdag som är lördag den trettionde november 2024.

Jobbannons

We want to be more! The research institute Swerim conducts needs-based industrial research and development concerning metals and their route from raw material to finished product. Swerim has 200 co-workers in two locations in Sweden - Luleå and Stockholm. Our vision is a fossil-free and circular industry.

.

Project Description: 

Obtaining quantitative results, such as grain size, from metallographic images is often limited to traditional methods like line intercept. This involves drawing test patterns (lines or circles) on microscope images and counting the intersections between the test patterns and grain boundaries. While these methods provide a good estimate of grain size, they require significant manual adjustment, are user-dependent, and do not yield adequate statistical results. EBSD is more commonly used and, for many materials, is the only method that can reliably obtain grain size distribution. Feasibility tests indicate that machine learning and deep learning methods have great potential to identify grain boundaries from images, even in complex microstructures where thresholding and conventional image analysis methods fail. Once grain boundaries are correctly identified, a Python script can provide grain size distributions comparable to those obtained from EBSD. This project aims to train robust methods for grain size analysis, potentially incorporating EBSD images and results in the training process.

This project will be supported by the META research consortium at Swerim, along with Swerim’s internal resources. META is a consortium focused on research in metallography and microanalysis, emphasizing method development, demonstrating new techniques, and offering courses and seminars. META includes 13 member companies. The project plan, samples, and detailed direction will be led and defined by META members before the project begins.

Qualifications

Master student in materials science, mathematics or physics with experience in Python programming, and strong communication and presentation skills. Patient in understanding microstructures of metallic materials and interested in exploring how microstructure impacts material properties.

Project time

The project is intended for a master thesis (30hp). The start date is January 2025 or can be mutually decided through negotiations.

Further information

This project is intended to be performed at Swerim in Kista, Stockholm. Swerim rewards the student with 50 000 SEK for an approved master thesis (30hp).

Contacts

You are welcome to contact Shirin Nouhi, shirin.nouhi@swerim.se if you have any questions about the project.

Application

Apply by using the application function below. The application can be written in English or Swedish. Latest date for application is 30th of November. You will receive a confirmation that Swerim has received your application. Please note that we fill the position as soon as we find a suitable applicant, which means we can fill the position before the deadline.