Characterization of surface asperities to understand its effect on fatigue life of electron beam powder bed fusion manufactured Ti-6Al-4 V
Karthikeyan Thalavai Pandian, Erik Lindgren, S. Roychowdhury, Magnus Neikter, Thomas Hansson, R. Pederson
Erik Lindgren
Researcher
Organization
Staff member at Division of Mechanical engineering.Research area
Conducts research in engineering and technology, production technology.RESEARCH AREA/RESEARCH INTEREST
I am a researcher, postdoctoral fellow, within non-destructive testing (NDT) and evaluation (NDE). In short, it is about quality control of products without negatively affecting their function. This as a part of a production system, as part of lifetime extension of products already in-service, or as part of re-pair or re-use in circular economies.
My focus is mainly on X-ray-based methods, digital X-ray radiography in 2D and X-ray computed tomography (XCT) in 3D. In my postdoc I explore how modern artificial intelligence, e.g. deep learning, can be used industrially within OFP. This includes, among other things, questions about how an automated or semi-automated data interpretation can be performed in an industrially safe and efficient way, e.g. how to handle new unknown input far from the training data; but also, how mathematical modeling of the inspection can be used to create added value within OFP, e.g. calculation of capability and measurement uncertainty.
The applications have a focus on additively manufactured metal products and welds. In most of my projects, I collaborate with the industry.
TEACHING/SUPERVISION
I teach in courses on nondestructive testing and evaluation, in our NDE course but also with NDE parts in other manufacturing courses at the University.
KEYWORD
NDT, NDE, X-ray computed tomography, digital industrial X-ray, artificial intelligence.
Publications
RESEARCH PROJECTS