Quo Vadis NDT? - A Forecast of the Future

• Autorzy: Dobmann Gerd

Identyfikatory

DOI

10.26357/BNID.2020.003

Warianty tytułu

PL

Quo Vadis NDT? – Prognoza przyszłości

• Języki publikacji: EN

Abstrakty

EN

The here presented contribution will forecast the future of NDT, even if this is difficult, because of many uncertainties. Large NDT conferences offer the opportunity to statistically evaluate the most popular topics which are in the actual interest of the NDT community. The author, engaged as subject editor of the Journal NDT&E International, will discuss his experience with peer-reviewed papers too. Worldwide, especially politicians talk about the next industrial revolution, using «catchwords» like digitization, big data, robotics, artificial intelligence, high powerful computing, cloud computing, intelligent manufacturing, etc. We have a global competition; China alone will invest in R&D of artificial intelligence (AI) in the next five years 150 billion $US. However, all R&D projects to these topics are primarily not NDT developing programs. But, NDT will follow the mainstream and will participate in hardware and software developments, to adapt them for its own needs. The contribution discusses tendencies of developments, for instance, in additive manufacturing where NDT is utilized in real-time to feed-back control, to produce - «on-line closed-loop» - the quality. Two special innovations are discussed; one is to the non-linear phenomenon of Local Defect Resonances in visco-elastic materials, the other to Vertical-Cavity Surface-Emitting Lasers (VCSEL), a new, powerful, and flexible heat source in Thermal Testing.

PL

Niniejsza praca przedstawia prognozę przyszłości badań nieniszczących (BN), nawet jeśli jest to trudne z powodu wielu niewiadomych. Duże konferencje dotyczące BN dają możliwość przeprowadzenia statystycznej oceny najpopularniejszych tematów, którymi aktualnie interesuje się społeczność BN. Autor, pełniący funkcję redaktora działowego w Journal NDT & E International, omówi również swoje doświadczenia z recenzowanymi artykułami. Na całym świecie, zwłaszcza politycy, mówią o kolejnej rewolucji przemysłowej, używając „haseł”, takich jak cyfryzacja, big data, robotyka, sztuczna inteligencja, obliczenia o dużej mocy, przetwarzanie w chmurze, inteligentna produkcja itp. Mamy globalną konkurencję a same Chiny zainwestują w badania i rozwój sztucznej inteligencji (AI) w ciągu najbliższych pięciu lat 150 miliardów dolarów. Wszystkie te projekty badawczo-rozwojowe z wymienionej tematyki nie dotyczą rozwoju BN. Jednakże, BN będą podążać za głównym nurtem i będą korzystać z rozwoju sprzętu i oprogramowania, adaptując je do własnych potrzeb. Artykuł omawia tendencje rozwojowe, na przykładzie sytuacji występującej w przypadku produkcji przyrostowej, gdzie BN są wykorzystywane w czasie rzeczywistym do sterowania sprzężeniem zwrotnym, zapewniającym jakość. Omówiono zostaną dwie innowacje: jedną z nich jest nieliniowe zjawisko lokalnych rezonansów wokół defektów w materiałach wiskoelastycznych, a drugim są lasery o emisji powierzchniowej z pionową wnęką rezonansową (VCSEL), nowe, mocne i adaptywne źródło wzbudzenia w badaniach termograficznych.

Słowa kluczowe

EN

full matrix capture; Total Focusing Method; artificial intelligence; machine learning; additive manufacturing

PL

metoda pełnego ogniskowania; TFM; sztuczna inteligencja; uczenie maszynowe; produkcja przyrostowa

• Wydawca: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
• Czasopismo: Badania Nieniszczące i Diagnostyka
• Rocznik: 2020
• Tom: nr 1-4
• Strony: 6--17
• Opis fizyczny: Bibliogr. 48 poz., rys., wykr., tab.

Twórcy

autor

Dobmann Gerd

• Senior Scientific Consultant at the Chair of NDT and Quality Assurance (LZfPQ), Saar-University, Saarbrücken, Germany

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).