Vol. 3 No. 1 (135) (2025): Engineering technological systems

Published: 2025-06-27

Full Issue

Engineering technological systems

Developing an efficient and economically viable method for pine nut processing

Ayat Khamitbek, Mir Butabayev, Ainura Kairbayeva, Sarsembek Oralbayev, Galymzhan Nasrullin

6-16
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Construction of a physical-mechanical model of reinforcing microrelief formation on profiled strips made of AISI 1005 and AISI 347 steels considering surface topology

Petro Kyrychok, Dmytro Paliukh

17-29
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Mathematical description of bending a surface of revolution into a helical conoid

Andrii Nesvidomin, Serhii Pylypaka, Tetiana Volina, Mykhailo Kalenyk, Svitlana Botvinovska, Iryna Hryshchenko, Dmytro Spirintsev, Vitalii Kolodnenko, Serhii Borodai, Irina Zakharova

30-37
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Devising a method for calculating the structure of efficient cooling systems for thrust bearings and guide bearings in hydrogenerators

Oleksii Tretiak, Stanislav Kravchenko, Oleksii Mykhailychenko, Viacheslav Nazarenko, Serhii Smyk, Oleksandr Vasyliev, Mariia Arefieva, Iryna Tretiak, Serhii Serhiienko, Volodymyr Selevko

38-50
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Building a model of the flow in a nozzle-flapper valve of the HP-3 control pump to improve the stability of characteristics

Oleksandr Lytviak, Roman Trishch, Eduard Khomiak, Serhii Kochuk, Svitlana Khomenko, Ihor Tiupa

51-57
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Providing technical and algorithmical support to the predictable properties of honeycomb filler obtained by additive processes

Oleksandr Salenko, Vasil Strutinsky, Konstantyn Avramov, Vadym Orel, Dmytro Dzhulii, Andrii Havrushkevych, Anton Kostenko

58-80
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Identifying the effect of refrigerant liquid level in receiver on energy efficiency and cooling performance of domestic freezers

Paulus Sukusno, Benhur Nainggolan, Parulian Jannus, Ainun Nidhar, Tatun Hayatun Nufus, Haolia Rahman

81-89
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Fault detection of rotating machinery in the petrochemical industry using a deep learning based approach: TabNet – WGAN

Muhammad Ikhsan Anshori, Arian Dhini

90-99
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