Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Zoran Jurković"'
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 2, Pp 579-586 (2024)
The purpose of this paper is to determine the temperature fields in the workpiece and the tool in the ironing process using an integrated approach that includes laboratory experiments and numerical modelling. An originally developed model device for
Externí odkaz:
https://doaj.org/article/2f76250b023e42bc8a84469d8b6038a1
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11512 (2022)
Batch sizing and scheduling problems are usually tough to solve because they seek solutions in a vast combinatorial space of possible solutions. This research aimed to test and further develop a scheduling method based on a modified steady-state gene
Externí odkaz:
https://doaj.org/article/c1819684607e480a937a6b53b8479367
Publikováno v:
Tehnički Vjesnik, Vol 24, Iss 5, Pp 1355-1360 (2017)
It is preferable to remove as much raw material in as short time as possible when processing materials using rough turning methods. Selecting the correct cutting tool at the beginning of the process is very important as this reduces the amount of mat
Externí odkaz:
https://doaj.org/article/ce6e46dd3ed149f0a4e72265230a0181
Autor:
Lovro Liveric, Dario Iljkić, Zoran Jurković, Nikša Čatipović, Paweł Nuckowski, Oktawian Bialas
Publikováno v:
Materiali in tehnologije. 57
In this paper, the corrosion behaviour of 42CrMo4 low-alloy steel after normalizing, soft annealing, spheroidizing annealing and full annealing is investigated. 42CrMo4 is steel for quenching and tempering, and one of the widely used and studied stee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b36b94e5488e5105c04b9d6953be44
https://doi.org/10.17222/mit.2022.624
https://doi.org/10.17222/mit.2022.624
Autor:
Elvis Hozdić, Zoran Jurković
Publikováno v:
New Technologies, Development and Application VI ISBN: 9783031310652
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e660783d11ea202f879e301fe013db49
https://doi.org/10.1007/978-3-031-31066-9_21
https://doi.org/10.1007/978-3-031-31066-9_21
Publikováno v:
International Journal of Electrochemical Science. :11986-11999
Martensitic stainless steels are difficult-to-cut materials, so the utilization of the cutting fluids with high flow rates is considered necessary in their machining. However, flood cooling method represents a high risk to human health and environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce7e27cef070c4f64d42b4bad3d72b81
https://doi.org/10.20964/2018.12.81
https://doi.org/10.20964/2018.12.81
In this study, an analysis of the influence parameters measured by the static tensile test, thermography and digital image correlation was performed during formation and propagation of the Lüders bands. A new approach to the prediction of stresses,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::071f9f76406cb805013ec5dc3bbd57ea
https://doi.org/10.22190/fume200416041b
https://doi.org/10.22190/fume200416041b
A modern production strategy faces the increasing challenges of practicing green production without sacrificing machining performance. Thus, this paper compares emulsion cooling, minimum quantity lubrication without and with a Ranque-Hilsch vortex tu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af46c02b3d8023ca7de76366d93a4297
https://doi.org/10.2507/ijsimm18(4)495
https://doi.org/10.2507/ijsimm18(4)495
Autor:
Borbás Lajos, Lanndon A. Ocampo, Sanda Ipšić-Martinčić, Zoran Jurković, Dragan Prsić, Lenka Lhotska, Matej Babič
The increase in wear resistance of cast irons after laser treatment is due not only to the corresponding structural and phase composition, but also to the improvement in the friction conditions due to the graphite retained in the laser impact zone. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2557bc2ac45478a3ec4f0f15d15576e6
https://doi.org/10.17222/mit.2018.116
https://doi.org/10.17222/mit.2018.116
Publikováno v:
Journal of Intelligent Manufacturing. 29:1683-1693
Support vector machines are arguably one of the most successful methods for data classification, but when using them in regression problems, literature suggests that their performance is no longer state-of-the-art. This paper compares performances of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e463bfb51aeb3fa6462923e63b03711
https://doi.org/10.1007/s10845-016-1206-1
https://doi.org/10.1007/s10845-016-1206-1