Master Thesis: Grain size analysis from SEM/LOM images – using EBSD data to
Swerim AB 73 dagar kvar Stockholm
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Publicerad 2024-09-10

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, [email protected] 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.

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Omfattning Heltid
Varaktighet 3 - 6 Månader
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