0000000000352883

AUTHOR

Campanella Davide

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Image Enhancement Algorithm for Optical Microstructural Characterization of Shape Memory TiNi Friction Stir Processed

2017

Abstract A key topic regarding TiNi alloys concerns the possibility to attain junctions that preserve the shape memory properties of material. Experimental tests, previously performed on TiNi sheet friction stir processed, have highlighted the need to develop an appropriate image analysis method to quantify the various phases percentages present in the characteristics zones of Friction Stir Welding process. A proper Image Processing procedure has been performed in order to quantify the amount of the martensitic phase and to detect its morphology modification along to the processed region. Particularly each micrographic image, firstly, has been denoised using the 2D Wavelet transform techniq…

0209 industrial biotechnologyFriction stir processingMaterials scienceWavelet transformImage processing02 engineering and technologyGeneral MedicineShape-memory alloyImage enhancement shape memory alloy friction stir processingHaar wavelet020901 industrial engineering & automationWavelet0202 electrical engineering electronic engineering information engineeringFriction stir welding020201 artificial intelligence & image processingAdaptive histogram equalizationAlgorithmProcedia Engineering
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