Link, Rainer; Germany
Link, R.; Consultant; Germany
Riess, N.; Helling GmbH; Germany
NDT 4.0 – Overall Significance and Implications to NDT
R. Link 1), N. Riess 2)
1) Consultant, Germany, firstname.lastname@example.org
2) CEO, Helling Company, Germany, email@example.com
Industry 4.0 is named after three industrial revolutions, mechanizing industrial processes, assembly lines and robotic systems. It comprehends complete digitization and networking within industrial processes, raw materials, design with consideration to nondestructive testing, production and more or less central quality control.
Industry 4.0 is the relevant parameter to be implemented and promoted by state institutions, but with available networking possibilities it will in addition be a self-fulfilling future aspect in industrial processes. It is believed, that nearly all areas involved in the industrial process are affected.
The question arises as to which extent it will influence the area and profession of NDT as a technique and related human resources. What would be the requirements of NDT4.0?
Some aspects of the integration of the inspection results and quality control and online information to the production department are not really new for NDT.
In this paper an attempt is made to analyze strengths, weaknesses, opportunities and threats (SWOT) within the area of NDT.
The overall networking of NDT4.0, including all aspects within the industrial process requires more comprehensive automation in the NDT test procedures and available information. Intelligent sensors which are deciding IO or NIO, providing online statistics to the quality and back to the process department obviously will be additional demands to the NDT testing procedure.
During this presentation a completely automated system for magnetic particle inspection of steering knuckles, tubes and round bars is described as an example.
The systems consists of robotic placement of the part and the areas of interest to be inspected to the NDT system, camera and lightning components, automated evaluation of the defect indications in the computer by image processing techniques involving different filters. The computer is connected to the manipulation system and is deciding IO or NIO according to the quality requirements. Additionally the computer calculates relevant statistical information. Networking with all interested parties in the production process is provided.