Computer Implemented Method to obtain the orientations of fibers inside composite materials using CT scan
Is a computer implemented method to accurately assess, from the post-processing of images scanned by computed tomography scan (named CT-scan), the orientations of fibrous or filamentary components contained inside a composite material. A composite material contains materials of different densities (fibrous material and matrix), and these have different X-rays absorption capacity, generating different grey levels in scanned images. This allows later identification and separation.
The main innovative aspect is the incorporation of these fibrous and filamentous materials in a matrix in order to improve the mechanical characteristics of this composite material. The density and orientation of the fibres or filaments are the main parameters that define the efficiency factor for the improvement of the structural response in a composite material.
Usually the fibrous element assumes the tensile stress capacity while the material that contains this fibrous material assumes the compressive stresses.
Therefore the most efficient position of the fibrous material should occupy the composite areas that are subjected to tensile, and also they must be oriented parallel to these tensile stresses.
Know the real orientation of the fibers within a composite material can help to optimize the design and manufacturing process. The final result is a more efficient use of the fiber, and therefore an optimal design, from both structural and economical points of views.
Our procedure is almost totally automatized. The routine is easy to use, extremely accurate and the results can be obtained in a short period of time (few hours using a personal computer). Our technology can be also incorporated inside product quality control procedures of companies.Our technology can obtain results on fiber orientations with a extremely low error level. This can help companies to know the quality of their manufacturing process.
Using a single algorithm implemented into a mathematical analysis software (MATLAB, OCTAVE, SCILAB or similar) all post-processing processes of the tomographic scans are automated.The segmentation of the fibres is more accurate because this method uses a predictive detection technique that clusters the spatial points into different fibres to subsequently obtain the fibre orientations into space.
The fact of using a predictive technique, i.e. predict the position of the group of points which are in the same fibre, makes it possible to separate points belonging to different fibres, even there is small distance between them. Clustering the points belonging to a single fibre, the dominant orientation of each of these fibres can be determined automatically using the interpolation line of the points.The entire process is grouped into a single algorithm. Tolerance criteria are introduced as an input value. So, the accuracy of the analysis protocol can be adjust depending on fiber dimensions and computed tomography scan accuracy.
This technology is useful to all industrial companies related to fiber reinforced composite, when fibers show a different value of density compared to matrix. So, it is possible to identify separetely the fibers from the matrix (i.e. automotive and aeronautical companies, construction companies using fiber reinforced concretes, etc).The main application is to obtain the real and exact orientation of fibers inside matrix. It is well known that there are correlations between fiber orientation and mechanical and/or phisical properties of the composite. Using this technology is easy to determine the mechanical and/or phisical properties of our composite through fiber orientations. And usually CT-scan testings are cheaper than mechanical testings.
Protected by PCT/EP2013/067219
AUSCULTATION, INSTRUMENTATION AND CONTROL OF STRUCTURES
Jose Manuel López López
+34 947 25 8895