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Št. zadetkov: 5
Izvirni znanstveni članek
Oznake: umetna inteligenca;prepoznavanje geometrijskih značilnosti;spremljanje obrabe orodij;artificial intelligence;tool wear monitoring;feature extraction;
Acquiring high-quality and timely information on the tool wear condition in real time, presents a necessary prerequisite for identification of tool wear degree, which significantly improves the stability and quality of the machining process. Defined in this paper is a model of tool wear monitoring s ...
Leto: 2013 Vir: Fakulteta za strojništvo (UM FS)
Izvirni znanstveni članek
Oznake: turning;tool geometry;modelling;surface roughness;response surface method;decision tree regression;Gaussian process regression;
In this study, the modelling of arithmetical mean roughness after turning of C45 steel was performed. Four parameters of cutting tool geometry were varied, i.e.: corner radius r, approach angle κ, rake angle γ and inclination angle λ. After turning, the arithmetical mean roughness Ra was measured. T ...
Leto: 2022 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Izvirni znanstveni članek
Oznake: naprava;tehnološki proces;umetna inteligenca;artificial intelligence;fixture;process planning;
This work presents an integral system for machining fixture layout design and optimization. The optimization module of this system allows determination of optimal positions of locating and clamping elements, which provides required accuracy and surface quality, while at the same time guarantees desi ...
Leto: 2016 Vir: Fakulteta za strojništvo (UM FS)
Izvirni znanstveni članek
Oznake: Kornati National Park;marine sediment;banded dye-murex Hexaplex trunculus;stable isotopes;carbon and nitrogen;
The Kornati National Park (Croatia) is considered an environment with minimal anthropogenic input. The purpose of this study was to determine the isotopic characteristics of the sediment and muscle tissues of the banded dye-murex Hexaplex trunculus. We selected locations in the park according to the ...
Leto: 2018 Vir: Naravoslovnotehniška fakulteta (UL NTF)
Izvirni znanstveni članek
Oznake: astronomy;stellar distances;Bayesian methods;
As demonstrated with the Sloan Digital Sky Survey (SDSS), Pan-STARRS, and most recently with Gaia data, broadband near-UV to near-IR stellar photometry can be used to estimate distance, metallicity, and interstellar dust extinction along the line of sight for stars in the Galaxy. Anticipating photom ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 5
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