Robot-based In-Process Examination of ITER Dome and First-Wall Panels based on Novel Ultrasonic Tomography Approach
| Parent link: | World Conference on Non-Destructive Testing (WCNDT 2016): Proceedings of the 19th Conference, 13-17 June 2016, Munich, Germany. [8 p.].— , 2016 |
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| Corporate Author: | |
| Other Authors: | , , , , , , , , |
| Summary: | Title screen Manufacturing the components of International Thermonuclear Experimental Reactor (ITER) substitutes a number of challenging material engineering tasks in respect to welding of specific bimetallic and trimetallic compounds. One of these tasks is the quality assurance of the weld joints after the manufacturing by hot isostatic pressing or explosion welding. Besides partially exotic material properties such as high sound velocity, coarse granulation, high sound attenuation and flaw orientations, these sandwich-like weld joints possess complex geometry, which makes testing them in-line along the manufacturing process challenging. Due to rather large dimensions and high material thickness, no alternative NDE techniques can be considered for the non-destructive testing of these multi-layered structures. The state of the art of ultrasonic testing raises expectations concerning the quantitative imaging of material flaws with automatic on-line evaluation of inspection results, whereby a rapid inspection procedure may provide a differentiated predication of the flaw type, size and location. Modern signal processing and image reconstruction techniques for phased array generated data such as 'Sampling Phased Array' and 'Digital Focus Array' allow tomographic representation of the inspection volume and thus accurate flaw sizing, reflecting an introduction of new quality standards in modern ultrasonic testing. Technically, ultrasonic imaging even without advanced signal processing methods implies a so-called position-related data acquisition, whereby the ultrasonic signals are acquired alone, albeit with probe position information, obtained in each inspection position while scanning the inspection object. The geometric complexity of the considered reactor components significantly complicates this traditional imaging approach and requires more advanced technological solutions in inspection systems as well as the image processing methodology. In the current contribution, an inspection technique and system solution will be presented that combines automated data acquisition through a robotic inspection manipulator with real-time profile recognition and tomographic reconstruction of inspection volume alone with a novel 3D image analysis approach for complex-shape components. |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://www.ndt.net/search/docs.php3?id=19265 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665066 |
| Summary: | Title screen Manufacturing the components of International Thermonuclear Experimental Reactor (ITER) substitutes a number of challenging material engineering tasks in respect to welding of specific bimetallic and trimetallic compounds. One of these tasks is the quality assurance of the weld joints after the manufacturing by hot isostatic pressing or explosion welding. Besides partially exotic material properties such as high sound velocity, coarse granulation, high sound attenuation and flaw orientations, these sandwich-like weld joints possess complex geometry, which makes testing them in-line along the manufacturing process challenging. Due to rather large dimensions and high material thickness, no alternative NDE techniques can be considered for the non-destructive testing of these multi-layered structures. The state of the art of ultrasonic testing raises expectations concerning the quantitative imaging of material flaws with automatic on-line evaluation of inspection results, whereby a rapid inspection procedure may provide a differentiated predication of the flaw type, size and location. Modern signal processing and image reconstruction techniques for phased array generated data such as 'Sampling Phased Array' and 'Digital Focus Array' allow tomographic representation of the inspection volume and thus accurate flaw sizing, reflecting an introduction of new quality standards in modern ultrasonic testing. Technically, ultrasonic imaging even without advanced signal processing methods implies a so-called position-related data acquisition, whereby the ultrasonic signals are acquired alone, albeit with probe position information, obtained in each inspection position while scanning the inspection object. The geometric complexity of the considered reactor components significantly complicates this traditional imaging approach and requires more advanced technological solutions in inspection systems as well as the image processing methodology. In the current contribution, an inspection technique and system solution will be presented that combines automated data acquisition through a robotic inspection manipulator with real-time profile recognition and tomographic reconstruction of inspection volume alone with a novel 3D image analysis approach for complex-shape components. |
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