• Dorin Vasile Deac-Suteu National University of Science and Technology POLITEHNICA Bucharest
  • Maria Popa University of Alba Iulia
  • Mihai Dragomir Technical University of Cluj-Napoca
  • Mihail Aurel Titu Lucian Blaga University Of Sibiu
Keywords: programming, knowledge-based organization, automation, quality, performance, nonconventional technologies


For the first time, computers could be an important part of measuring systems more than 20 years ago thanks to serial communications like RS-232 and GPIB. By connecting measuring equipment directly to the computer, potential increases in productivity and reductions in error rates could be realised, processing that was unique to the manual transfer of data that was eventually fed into the computer for further analysis Some manufacturers are thinking of ways to use voltage deviation from average discharge as a signal to automatically adjust the feed rate to the amount of metal being processed or to retract the tool if a short circuit occurs, thus eliminating the need for human intervention. The knowledge-based organization stands to gain significantly by incorporating computerization for nonconventional technologies, making this a matter of strategic importance.  Knowledge management could greatly benefit from the automation of routine, time-consuming tasks made possible by combining IT and information systems. This is the subject of the article below.


1. Ceașescu, N., Popescu, I. - Nonconventional Technologies, Scrisul Românesc Publishing House, Craiova, 2010.
2. Gavrilas, I., Marinescu, N.I. - Nonconventional machining in machine building, Technical Publishing House, Bucharest, 1991.
3. Nanu, A. - Materials Technology, Didactic and Pedagogical Publishing House, Bucharest, 2010.
4. Crosby, P. B., Quality Is Free, New York: McGraw-Hill, (1979).
5. Deming, W. E., Out of the Crisis, MA: MIT Center for Advanced Engineering Study, (1986).
6. Juran, J. M., Quality Control Handbook, New York: McGraw-Hill, (1988).
7. Oprean, C., Vanu, A., & Stan, S., Explanatory Dictionary for Science and Technology: Integrated Quality Management, Bucharest: AGIR, (2021).
8. Oprean, C., Țîțu, M. A., & Bucur, V., Global management of the knowledge-based organization, Bucharest: AGIR, (2011).
10. Joaquin Garcia Cobo, What is Arduino?, 2020
11. Stefano Lovati, LabVIEW for Power Electronics: Introduction,, 2021
12. Guido van Rosum, Python programming language,, 2023
13. Nanu, A., Nanu, D., Electrical erosion processing, "Lucian Blaga" University of Sibiu Publishing House, 2004.
14. Derouin, R. E., Fritzsche, B. A., & Salas, E, E-Learning in Organizations, Journal of management, 31(6), 920-940, (2005).
15. Amza, Gh. et al. - Treatise on Materials Technology (vol II), Romanian Academy Publishing House, Bucharest, 2002.
16. Palfalvi, A. et al. - Materials Technology, Didactic and Pedagogical Publishing House, Bucharest, 2015.
How to Cite
Deac-Suteu, D., Popa, M., Dragomir, M., & Titu, M. (2023). USE OF IT TOOLS IN NONCONVENTIONAL TECHNOLOGY APPLICATIONS. Nonconventional Technologies Review, 27(3). Retrieved from