Diploma or Master Thesis entitled AI-based segmentation of 3D CT scans of fiber-reinforced plastic composites: qualitative and quantitative analysis of different samples

Only available in German

Diploma thesis43Master thesis45Smart Composites & Nondestructive Testing23

 

Leibniz-Institut für Verbundwerkstoffe (IVW) GmbH is one of the world's leading institutions in the field of composite materials. We research the entire value chain of composite materials from the scientific fundamentals to the component. We are inviting applications for the following student thesis:

Diploma or Master Thesis entitled

AI-based segmentation of 3D CT scans of fiber-reinforced plastic composites: qualitative and quantitative analysis of different samples

3D X-ray computed microtomography (CT) is a highly developed method for analyzing the internal structure of materials at a microscopic level. This imaging process provides valuable insight into the microstructural composition and allows evaluation of material properties manufacturing influences. Particularly in the case of fiber-reinforced composites (FRP), which are used in many modern applications due to their light weight and high strength, CT enables precise detection and visualization of the fibers, the matrix and possible defects such as cracks or pores. With the development of modern image processing methods, in particular artificial intelligence (AI), CT data can be evaluated more efficiently and accurately, significantly improving the segmentation and analysis of complex structures such as fibers and matrix components in FRPs. 

Work Content:

A literature review will be conducted to determine the state of the art for the segmentation of fiber-reinforced composites. In addition, AI-based methods for the segmentation of 3D CT scans of fiber-reinforced plastic composites are to be applied and implemented. The aim is to compare different samples and to perform both qualitative and quantitative analyses (e.g. fiber volume content) in order to investigate the microstructures of the materials.

Your profile :

  • degree in mechanical/process engineering or similar
  • knowledge of materials is advantageous (plastics and fiber composites)
  • structured working
  • good communication skills
  • good English knowledge is advantageous

Start. December 2024

Exemplary workflow to segment CT scans with an AI-based algorithm

Contact

Dipl.-Ing.

Benedikt Boos

Scientific Staff Smart Composites & Nondestructive Testing

Telephone: +49 631 2017 243

benedikt.boos@leibniz-ivw.de