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dc.contributor.authorTyč, Martin
dc.contributor.authorHlaváčová, Irena M.
dc.contributor.authorBarták, Pavel
dc.date.accessioned2022-05-17T13:32:02Z
dc.date.available2022-05-17T13:32:02Z
dc.date.issued2022
dc.identifier.citationMaterials. 2022, vol. 15, issue 1, art. no. 345.cs
dc.identifier.issn1996-1944
dc.identifier.urihttp://hdl.handle.net/10084/146186
dc.description.abstractThe presented research was aimed at finding a suitable tool and procedure for monitoring undercuts or other problems such as cutting without abrasive or inappropriate parameters of the jet during the abrasive water jet (AWJ) cutting of hard-machined materials. Plates of structural steel RSt 37-2 of different thickness were cut through by AWJ with such traverse speeds that cuts of various qualities were obtained. Vibrations of the workpiece were monitored by three accelerometers mounted on the workpiece by a special block that was designed for this purpose. After detecting and recording vibration signals through the National Instruments (NI) program Signal Express, we processed this data by means of the LabVIEW Sound and Vibration Toolkit. Statistical evaluation of data was performed, and RMS was identified as the parameter most suitable for online vibration monitoring. We focus on the analysis of the relationship between the RMS and traverse speed.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMaterialscs
dc.relation.urihttps://doi.org/10.3390/ma15010345cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectabrasive water jetcs
dc.subjectvibration signalscs
dc.subjectAWJ machiningcs
dc.subjectprocess controlcs
dc.titleAnalyses of vibration signals generated in W. Nr. 1.0038 steel during abrasive water jet cutting aimed to process controlcs
dc.typearticlecs
dc.identifier.doi10.3390/ma15010345
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume15cs
dc.description.issue1cs
dc.description.firstpageart. no. 345cs
dc.identifier.wos000750775700001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.