Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Miha Kovačič"'
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 3, Pp 497-501 (2024)
In today's rapidly evolving business landscape, the strategic adoption of virtual manufacturing methods has emerged as a key driver for companies seeking to streamline operations and expedite product launches in a cost-effective manner. This progress
Externí odkaz:
https://doaj.org/article/a0c66863f57843f6a8fcd5f1202f8a49
Publikováno v:
Metals, Vol 14, Iss 8, p 955 (2024)
The machinability of steel is a crucial factor in manufacturing, influencing tool life, cutting forces, surface finish, and production costs. Traditional machinability assessments are labor-intensive and costly. This study presents a novel methodolog
Externí odkaz:
https://doaj.org/article/bf381034a90f43f4af62bd5586062308
Publikováno v:
Metals, Vol 14, Iss 7, p 819 (2024)
ŠTORE STEEL Ltd. is one of the three steel plants in Slovenia. Continuous cast 180 mm × 180 mm billets can undergo cooling to room temperature using a turnover cooling bed. They can also be cooled down under hoods or heat treated to reduce residual
Externí odkaz:
https://doaj.org/article/3f3fb2cc7fd54426acb865ef8ec50819
Autor:
Uroš Župerl, Miha Kovačič
Publikováno v:
Tehnički Glasnik, Vol 17, Iss 2, Pp 223-230 (2023)
When machining difficult-to-cut metal materials often used to make sheet metal forming tools, excessive cutting force jumps often break the cutting edge. Therefore, this research developed a system of three neural network models to accurately predict
Externí odkaz:
https://doaj.org/article/eca9f51982e245968c16a09a8f2e343a
Publikováno v:
Tehnički Glasnik, Vol 16, Iss 2, Pp 219-226 (2022)
The paper presents a model for predicting the roll wear in the hot rolling process. It includes all indicators from the entire continuous rolling line that best predict the roll wear in the hot rolling process. Data for model development were obtaine
Externí odkaz:
https://doaj.org/article/d40c32b73af54348847ef46fa4263c93
Publikováno v:
Tehnički Glasnik, Vol 15, Iss 3, Pp 381-386 (2021)
The paper presents a model for predicting the machinability of steels using the method of artificial neural networks. The model includes all indicators from the entire steel production process that best predict the machinability of continuously cast
Externí odkaz:
https://doaj.org/article/8c36f2607bf744d5b63768423d25bc7c
Publikováno v:
Tehnički Glasnik, Vol 14, Iss 2, Pp 174-179 (2020)
Štore Steel Ltd. is one of the largest flat spring steel producers in Europe. There are two production lines after rolling – one for flat bars and the other for round bars. The flat bars production generally consists of visual examination, straigh
Externí odkaz:
https://doaj.org/article/e8c0f660598445479d9a1dc32f8750d1
Autor:
Miha Kovačič, Uroš Župerl
Publikováno v:
Metals, Vol 12, Iss 8, p 1343 (2022)
Štore Steel Ltd. is one of the biggest flat spring steel producers in Europe. The main motive for this study was to study the influences of non-metallic inclusions on mechanical properties obtained by tensile testing. From January 2016 to December 2
Externí odkaz:
https://doaj.org/article/1164ef06285b466ab380ec02038b28ce
Publikováno v:
Fractal and Fractional, Vol 6, Iss 6, p 282 (2022)
There is a large body of research devoted to identifying the complexity of structures in networks. In the context of network theory, a complex network is a graph with nontrivial topological features—features that do not occur in simple networks, su
Externí odkaz:
https://doaj.org/article/82fb523f58004311aa180b06aa104bd0
Autor:
Matej Babič, Dušan Petrovič, Jošt Sodnik, Božo Soldo, Marko Komac, Olena Chernieva, Miha Kovačič, Matjaž Mikoš, Michele Calì
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1711 (2021)
Alluvial (torrential) fans, especially those created from debris-flow activity, often endanger built environments and human life. It is well known that these kinds of territories where human activities are favored are characterized by increasing inst
Externí odkaz:
https://doaj.org/article/859e5e7aa50249ce92ed76c8dd4b2542