Autors: Dimitrov, V. P., Dimitrova, V. K. Title: Technical resource of single flute end mill cutters -prediction and analysis Keywords: Technical resource, single flute mill cutters Abstract: Main quantitative indicators characterizing the reliability of cutting tools and in particular of single flute mill for high-speed milling processing are: fastness, infallibility, storage capability, maintainability [1,3,4]. In this relation, technical resource category includes the operational period of time for which the tooling system reaches the wear criterion. Technical resource (mean time between failures) is assessment of the fastness of the tools. His research is related to the optimization of predicting the maximum levels of the defining parameters in this case are the elements of the cutting conditions in correlation with technological criteria low cost, high performance and high quality machined surfaces. References Issue
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Цитирания (Citation/s):
1. Петров Н., С. Дечкова, П. Чобанов, Анализ на рискови събития в машиностроителните технологии и транспортните системи, сп. Машиностроене и машинознание, №27, год.XII, кн.1, 2017 - 2017 - в български издания
2. Petrov, N., Dimitrova, K., Kolev, N. (2020). Assessment of the bugs probability in software systems. Journal of the Bulgarian Academy of Sciences, Engineering Sciences, LVII, (2). - 2020 - в български издания
3. Едрев,С., Експлоатационна надеждност на роботизиран комплекс за заваряване „МОТОМАН“, Известия на Съюза на учените - Сливен, том 33 (1), 2018 - 2018 - в български издания
4. Petrova, I.(2018, May). Simulation modeling and analysis on improved modular end mill cutter, for manufacturing of large gears, International Journal of Scientific & Engineering Research Vol. 9, Issue 5, ISSN 2229-5518 - 2018 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
5. Petrova, I.(2015, April). Design Of Engineering Complex Equipment For Installation Of Modules From Element Facade System, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 4, pp. 1272-1275, ISSN 2348 – 7968 - 2015 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
6. Petrov, Al., Petrov, N,, Kolev, N. (2018, April). Risk assessment in the operation of technoeconomic systems with parallel non-loaded coupling, International Journal of Scientific & Engineering Research Vol. 9, Issue 4, ISSN 2229-5518 - 2018 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
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