Up to now the post-process assessment of surface microstructure has frequently been carried out by means of visual inspection and comparison.
The aim of the project is to develop a system based on holographic methods and image processing including digital and/or neural computing methods which is capable of automatically inspecting, analysing and classifying surfaces in bores of diameters down to 60 mm in a machine workshop environment. The feasibility of the system will be demonstrated by applying the method to analyse and classify honed surfaces as they are produced in cylinder bores for combustion engines.
The complete system will consist of a holographic sensor which basically consists of a bi-refringent crystal and which will be integrated into a special microscope. The system will include all the software for the assessment of the surface finish according to standardised requirements for roughness profile test methods (eg DIN specifications) and the necessary components, control systems and software to automatically determine the surface structure, its analysis and classification according to standardised criteria as laid down in the Goetze HON-Atlas.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencesphysical sciencesopticsmicroscopy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
Topic(s)Data not available
Call for proposalData not available
Funding SchemeCSC - Cost-sharing contracts
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