Objective
The project's aim is to create a new intelligent sensor, based on Visionics, initially adapted to the timber and wood industry, but also to cork industries, which face similar problems.
A new generation of hard materials (ceramics and cermets) for use in rotationally symmetric machining operations (drilling, reaming, and milling) has been developed. The methodology used to achieve this goal has consisted of:
developing new ceramics, cermets, and submicron grain cemented carbides;
characterizing these newly developed materials in terms of physical and mechanical properties, microstructure, and functional properties;
designing geometries for rotationally symmetric tools adapted to the properties of these hard materials;
developing production methods for machining the new tools;
evaluating the hard tool materials using field tests;
optimizing the new tools in terms of materials development, geometrical design, and production techniques.
New materials developed include:
new silicon nitride and cermet grades with improved hardness and toughness for the intended application;
an alumina grade hardened and toughened by titanium carbide, which can be densified in complex shape;
a submicron grade carbide.
New tools designed, fabricated and tested include:
a silicon nitride drill and a silicon nitride end mill with optimized geometry for machining cast iron;
a cermet reamer and cermet end mill for machining steel;
a cermet end mill for machining aluminium silicon.
These new tools yield very substantial increases in productivity if used with the modern machining stations at the high speeds for which they were developed.
The development work was accompanied by scientific studies in order to gain insights into the mechanisms underlying tool behaviour. These studies included wear at low and high temperature and chemical compatibility studies between tool material and workpiece material.
The main performance to be attained is : automatic detection of defects as small as 1 square millimetre, with an image contrast factor (signal-noise ratio) approaching 1 and a rate analysis of 2 image/second.
This work will make it possible to solve the following essential problems :
- qualifications of different types of defects (knot, cracks, bluestain and coloured stain, grain and all types of defects) and quantification of their acceptability
- development of simple systems, based on analysis of a minimum number of discriminatory parameters, and at a cost of less than 70 000 ECU for an integrated system
- definition and identification of human decision criteria and creation of a mathematical model transcription.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural scienceschemical sciencesinorganic chemistryinorganic compounds
- engineering and technologymechanical engineeringmanufacturing engineeringsubtractive manufacturing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymaterials engineeringceramics
- agricultural sciencesagriculture, forestry, and fisheriesforestry
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Topic(s)
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8201 Mamer
Luxembourg