Yuliia Denysenko

Dr. Yuliia Denysenko


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 July 2018 in Diagnostyka
Verified
Journal Article
Open access
Vitalii IvanovVitalii Ivanov
Vitalii Ivanov
IDIvan Dehtiarov
Ivan Dehtiarov
Yuliia DenysenkoYuliia Denysenko
Yuliia Denysenko
NMNina Malovana
Nina Malovana
NMNataliia Martynova
Nataliia Martynova

16 June 2018
Verified
Book Chapter
Closed access
PDF file
Yuliia DenysenkoYuliia Denysenko
Yuliia Denysenko
ODOksana Dynnyk
Oksana Dynnyk
TYTetiana Yashyna
Tetiana Yashyna
NMNina Malovana
Nina Malovana
VZViliam Zaloga
Viliam Zaloga

25 July 2024 in Advances in Science and Technology Research Journal
Verified
Journal Article
Open access
Filip GórskiFilip Górski
Filip Górski
Yuliia DenysenkoYuliia Denysenko
Yuliia Denysenko
WKWiesław Kuczko
Wiesław Kuczko
MŻMagdalena Żukowska
Magdalena Żukowska
Radosław WichniarekRadosław Wichniarek
Radosław Wichniarek
JRJustyna Rybarczyk
Justyna Rybarczyk
The article provides readers with a detailed overview of the AutoMedPrint technology, its advantages and opportunities, based on a number of studies and case examples. The AutoMedPrint system represents a significant advancement in the field of orthopedics, offering a comprehensive solution for...

7 June 2019
Verified
Book Chapter
Closed access
PDF file
ODOksana Dynnyk
Oksana Dynnyk
Yuliia DenysenkoYuliia Denysenko
Yuliia Denysenko
VZViliam Zaloga
Viliam Zaloga
Oleksandr IvchenkoOleksandr Ivchenko
Oleksandr Ivchenko
TYTetiana Yashyna
Tetiana Yashyna

1 March 2021 in Engineering Management in Production and Services
Verified
Journal Article
Open access
Vitalii IvanovVitalii Ivanov
Vitalii Ivanov
Oleksandr LiaposhchenkoOleksandr Liaposhchenko
Oleksandr Liaposhchenko
Yuliia DenysenkoYuliia Denysenko
Yuliia Denysenko
Ivan PavlenkoIvan Pavlenko
Ivan Pavlenko
The first-priority directions for modern engineering, especially for multiproduct manufacturing, include the intensification of manufacturing processes, increasing the efficiency of technological equipment, and reducing the time required to implement technological solutions. Fixture design is a complicated and time-consuming process that requires considering many parameters of the closed-loop technological system “machine tool — fixture — cutting tool — workpiece”. One machined part can have several fixture layouts corresponding to all specified parameters; however, their effectiveness differs depending on production conditions. Search for an optimal fixture for specified production conditions is an essential stage of production planning. It has been proved that the efficiency of a manufacturing process should be assessed using single economic indicator — the cost of machining, which considers the costs of time, the total costs for process realisation, and a batch of parts. The paper aims to substantiate the efficiency of manufacturing processes in machining complex parts using flexible fixtures by developing a mathematical model that considers the cost of time, the cost of implementing the manufacturing process, and the batch value of parts production. This approach estimates the efficiency of manufacturing processes for machining complex parts and choosing the flexible fixture layout that corresponds to specific production conditions. It was proved that flexible fixtures could be effectively used for machining small batches of parts with frequent readjustments to new workpieces and short-term machining. A tendency has been established that the higher number of nomenclature of parts contributes to expanding the scope of the effective use of flexible fixtures.