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Lennart Elmquist

Forskare

Tel

+46 10 228 46 61

Email

lennart.elmquist@ri.se

Location

Jönköping

Ask me about

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SMYG – Smart image analysis for surface defects on cast components

The project creates the conditions for a digital computer vision tool for the next generation of quality control of surface defects on cast components.

(End-to-End) AI for quality assurance in manufacturing

The project will create user-friendly End-to-End AI for automated quality control (QC) of manufactured components that can adapt to different environmental conditions and product designs.

Smart Cast Metal – cast metal with sensors

Cast metals with imbedded sensors is a new concept that answers some of the metal industry challenges; resource savings, increased added value and participation in the digital revolution. The project delivered entirely new, robust…

Development of cast components

The properties of a cast component are influenced by many factors; material, alloying elements, geometry, solidification rate and the robustness of the casting process. At RISE we have the resources and competence to optimise and …

Introduction to foundry technology - iron and steel

The course deals with the entire journey from raw material to finished castings. You get a broad overview of the manufacturing chain and what methods and materials are available. The course deals with subjects such as production t…

Casting imperfection analysis of cast irons

The course provides knowledge of the most common casting imperfections (defects) and how these are identified and alleviated. The course increases insight into how the defects occur, how they are categorized and what measures can …

Casting imperfection analysis of cast irons

The course provides knowledge of the most common casting imperfections (defects) and how these are identified and alleviated. The course increases insight into how the defects occur, how they are categorized and what measures can …