Influence of Selected Diagnostic Parameters on the Quality of AWJ Cutting Surface

• Autorzy: Wala Tomasz , Lis Krzysztof

Identyfikatory

DOI

10.12913/22998624/144642

• Języki publikacji: EN

Abstrakty

EN

The article presents a review of research methods for the cutting process using the abrasive waterjet machining. The focus was on assessing the possibility of monitoring the cutting process based on the parameters available for direct or indirect measurement. An attempt was made to evaluate their influence on the machined surface after treatment with the abrasive cutting method. These parameters include, inter alia, vibrations of the cutting head, force effects on the head support structure and the material to be cut, dynamic properties of the machine support structure and high pressure pumps. As part of the own research, correlation was sought for the registered selected signal characteristics with the cutting parameters responsible for the process course and the parameters related to the obtained machined surface. For this purpose, a model of the deflection angle of the abrasive waterjet was proposed, which qualitatively determines the condition of the surface after cutting. The angle of inclination of the abrasive waterjet is determined on the basis of the registration of the feed force during the cutting process. The research on surface topography was extended by an attempt to determine the surface roughness by measuring vibrations and looking for correlation between the displacements of the cutter head tip and the measured roughness height profile. These tests also allowed the identification of selected frequencies that clearly result from the set parameters of the cutting process. The last stage of the research was to monitor the cutter head behaviour using a deformation sensor as another concept for recording the forces during the cutting process. Finally, the proposed methodology was characterized in the context of its usefulness in the on-line process monitoring and supervision system.

Słowa kluczowe

EN

waterjet machining; quality machine surface; monitoring AWJ process

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2022
• Tom: Vol. 16, no 1
• Strony: 129--140
• Opis fizyczny: Bibliogr. 14 poz., fig., tab.

Twórcy

autor

Wala Tomasz

• Faculty of Mechanical Engineering, Department of Machine Technology, Silesian University of Technology in Gliwice, ul. Konarskiego 18A, 44-100 Gliwice, Poland

• https://orcid.org/0000-0001-5758-7365

autor

Lis Krzysztof

• Faculty of Mechanical Engineering, Department of Machine Technology, Silesian University of Technology in Gliwice, ul. Konarskiego 18A, 44-100 Gliwice, Poland

• https://orcid.org/0000-0003-0785-0553

Bibliografia

• 1. Pillai S.R., Madara S.R., Selvan C.P. Predication of Kerf Width and Surface Roughness in Waterjet Cutting using Neural Networks. International Conference on Recent Advances in Fluid and Thermal Sciences. Journal of Physics: Conference Series. 2019; 1276: 012011.
• 2. Kovacevic R. Monitoring the depth of abrasive waterjet penetration. Internationa Journal of Machine Tools and Manufacture. 1992; 32(5): 725–736. https://doi.org/10.1016/0890-6955(92)90026-D
• 3. Lin B., Zou Q., Liang Y., Xie J., Yang H.: Response characteristics of coal subjected to coupling static and waterjet impact loads. International Journal of Rock Mechanics and Mining Sciences. 2018; 103: 155–167.
• 4. Carah J., Lehocka D., Legutko S. Hloch S., Chattopadhyaya S., Dixit A.R. Surface roughness of graphite and aluminium alloy after hydro-abrasive machining. Advances in Manufacturing (Manufacturing 2017), Edited by: Hamrol A., Ciszak O., Legutko S., Jurczyk M., Book Series: Lecture Notes in Mechanical Engineering. 805–813. https://doi. org/10.1007/978-3-319-68619-6_66
• 5. Copertaro E., Perotti F., Castellini P., Chiariotti P., Martarelli M., Annoni M.: Focusing tube operational vibration as a means for monitoring the abrasive waterjet cutting capability. Journal of Manufacturing Processes. 2020; 59: 1–10.
• 6. Kovacevic R., Wang L., Zhang YM. Identification of abrasive waterjet nozzle wear based on parametric spectrum estimation of acoustic signal. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 1994; 208(3): 173–181. https://doi.org/10.1243/ PIME_PROC_1994_208_076_02.
• 7. Hassan Ashraf I., Chen C., Kovacevic R.: On-line monitoring of depth of cut in AWJ cutting. International Journal of Machine Tools and Manufacture. 2004; 44(6); 595–605. https://doi.org/10.1016/j. ijmachtools.2003.12.002.
• 8. Valíček J., Hloch S. Using the acoustic sound pressure level for quality prediction of surfaces created by abrasive waterjet. International Journal of Advanced Manufacturing Technology. 2010; 48: 193– 203; https://doi.org/10.1007/s00170-009-2277-3
• 9. Peržel V., Hreha P., Hloch S., Tozan H., Valíček J.: Vibration emission as a potential source of information for abrasive waterjet quality process control; International Journal of Advanced Manufacturing Technology. 2012; 61: 285–294. https://doi. org/10.1007/s00170-011-3715-6
• 10. Jurisevic B., Brissaud D., Junkar M. Monitoring of abrasive water jet (AWJ) cutting using sound detection. International Journal of Advanced Manufacturing Technology. 2004; 24: 733–737. DOI 10.1007/s00170-003-1752-5
• 11. Wala T., Lis K. The study of forces interactions during the high pressure abrasive waterjet cutting. 2015; 8–9: 415–423.
• 12. Wala T., Lis K. The experimental method of determining the forces operating during the abrasive waterjet cutting process a mathematical model of the jet deviation angle. Industrial measurements in machining. Eds. Grzegorz M. Królczyk, Piotr Niesłony, Jolanta Królczyk. Springer. 2020; 236–245. https:// doi.org/10.1007/978-3-030-49910-5_21
• 13. Wala T., Lis K. The vibration measurements during the abrasive waterjet cutting for the evaluation of surface quality. Mechanik. 2016; 8–9: 1084–1085.
• 14. Lis K., Wala T. Experimental research possibilities of monitoring the AWJ cutting process using a strain sensor. International Journal of Modern Manufacturing Technologies. 2020; 12(3): 72–77.