Публікація:
Ensuring the accuracy of ground beds of heavy lathe machines using the method of vibration stabilization

dc.contributor.authorStarchenko, Vitaliy
dc.date.accessioned2025-10-19T12:16:32Z
dc.date.issued2025
dc.description.abstractThe article considers the improvement of the grinding process for beds of heavy lathe machines using the method of vibration stabilization. A comprehensive analysis of the kinematic, mechanical, and thermal characteristics of the process is presented. Optimal grinding conditions are substantiated, allowing for increased machining accuracy and quality, reduced tool wear, and improved economic efficiency. The proposed solutions align with the principles of sustainable engineering and the New European Research Paradigm.
dc.identifier.citationStarchenko V. Ensuring the accuracy of ground beds of heavy lathe machines using the method of vibration stabilization [Electronic resours] / Vitaliy Starchenko ; research supervisor Alexander Klochko ; lang. support supervisor Tetyana Sergejeva // An Innovative Model of Research Projects Aimed at the Integration of Ukraine into the European Scientific Space : book of abstr. an Annual Intern. PhD Conf., April 24, 2025 / National Technical University "Kharkiv Polytechnic Institute". – Electronic text data. – Kharkiv : NTU "KhPI", 2025. – P. 253-255.
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/94193
dc.language.isoen
dc.publisherNational Technical University "Kharkiv Polytechnic Institute"
dc.subjectvibration stabilization
dc.subjectgrinding
dc.subjectheavy lathe machines
dc.subjectmachining accuracy
dc.subjectabrasive tool
dc.subjectwheel topography
dc.subjectsystem stiffness
dc.subjectenergy efficiency
dc.titleEnsuring the accuracy of ground beds of heavy lathe machines using the method of vibration stabilization
dc.typeArticle
dspace.entity.typePublication
dspace.relatedentity.typePerson
person.identifier.orcid0009-0008-3495-4212
relation.isAuthorOfPublicatione8872631-8e3b-46e0-b919-226b0849a6ee
relation.isAuthorOfPublication.latestForDiscoverye8872631-8e3b-46e0-b919-226b0849a6ee

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