PANDA, Anton, Volodymyr NAHORNYI, Jan VALÍČEK, Marta HARNIČÁROVÁ, Milena KUŠNEROVÁ, Petr BARON, Iveta PANDOVÁ a Patrik SOROČIN. A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials. The International Journal of Advanced Manufacturing Technology. Londýn, Spojené království: SPRINGER LONDON LTD, roč. 123, č. 5, s. 3599-3612, 88 s. ISSN 0268-3768. 2022. |
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@article{65422, author = {Panda, Anton and Nahornyi, Volodymyr and Valíček, Jan and Harničárová, Marta and Kušnerová, Milena and Baron, Petr and Pandová, Iveta and Soročin, Patrik}, article_location = {Londýn, Spojené království}, article_number = {5}, keywords = {Turning; Roughing; Finishing; Surface roughness; Tool wear degree}, language = {eng}, issn = {0268-3768}, journal = {The International Journal of Advanced Manufacturing Technology}, title = {A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials}, url = {https://link.springer.com/article/10.1007/s00170-022-10391-0}, volume = {123}, year = {2022} }
TY - JOUR ID - 65422 AU - Panda, Anton - Nahornyi, Volodymyr - Valíček, Jan - Harničárová, Marta - Kušnerová, Milena - Baron, Petr - Pandová, Iveta - Soročin, Patrik PY - 2022 TI - A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials JF - The International Journal of Advanced Manufacturing Technology VL - 123 IS - 5 SP - 3599-3612 EP - 3599-3612 PB - SPRINGER LONDON LTD SN - 02683768 KW - Turning KW - Roughing KW - Finishing KW - Surface roughness KW - Tool wear degree UR - https://link.springer.com/article/10.1007/s00170-022-10391-0 N2 - Roughness on the surface of the machined workpiece is one of the most important machining outcomes in terms of determining the quality of the product. This publication presents a new, original methodology for online monitoring machined materials' quality. The methodology was designed to ensure the surface finish quality was maintained throughout the production process and under the selected cutting conditions. The remaining useful life of the cutting tool was predicted using online time mode with simultaneous surface quality checks. An indirect method was used to monitor the vibration levels generated during the machining process of the part. The vibrations were measured continuously throughout the longitudinal turning process. The sensor was installed on the revolving turret of the machine. Measurements were taken in the direction of the horizontal (lateral) axis perpendicular to the longitudinal axis of the machine. The experiment was carried out for technical operations of roughing and finishing turning. This methodology is based on an analytical model describing the relationship between the mean value of the surface roughness, the feed rate, and the radius of the tooltip. It has been developed with the primary objective of predicting sudden failure of tools, possible destruction of components, and premature tool replacement. As a result, the applied tools exceed the average statistical value of their actual operational potential for a given cutting mode. ER -
PANDA, Anton, Volodymyr NAHORNYI, Jan VALÍČEK, Marta HARNIČÁROVÁ, Milena KUŠNEROVÁ, Petr BARON, Iveta PANDOVÁ a Patrik SOROČIN. A novel method for online monitoring of surface quality and predicting tool wear conditions in machining of materials. \textit{The International Journal of Advanced Manufacturing Technology}. Londýn, Spojené království: SPRINGER LONDON LTD, roč.~123, č.~5, s.~3599-3612, 88 s. ISSN~0268-3768. 2022.
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