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Št. zadetkov: 3
ǂA ǂcloud-based system for the optical monitoring of tool conditions during milling through the detection of chip surface size and identification of cutting force trends
Uroš Župerl, Krzysztof Stępień, Goran Munđar, Miha Kovačič
Izvirni znanstveni članek
Oznake: strojna obdelava;oblikovno frezanje;nadzor stanja rezalnega orodja;zaznavanje velikosti čipa;identifikacija trenda rezalne sile;nadzor vizualnega senzorja;tehnologije izdelave v oblaku;machining;end milling;tool condition monitoring;chip size detection;cutting force trend identification;visual sensor monitoring;cloud manufacturing technologies;
This article presents a cloud-based system for the on-line monitoring of tool conditions in end milling. The novelty of this research is the developed system that connects the IoT (Internet of Things) platform for the monitoring of tool conditions in the cloud to the machine tool and optical syst ...
Leto: 2022 Vir: Fakulteta za strojništvo (UM FS)
Achieving maximum smart readiness indicator scores: a financial analysis with an in-depth feasibility study in non-ideal market conditions
Mitja Beras, Krzysztof Stępień, Miha Kovačič, Uroš Župerl
Izvirni znanstveni članek
Oznake: indikator pripravljenosti pametnih sistemov;metodologija;pametni sistemi;energetske prenove nepremičnin;energetska učinkovitost;finančna analiza;inteligenca;smart systems readiness indicator (SRI);methodology;smart systems;real estate energy renovations;energy efficiency;financial analysis;smartness;
For European competitiveness, energy efficiency must be increased. An important part of energy efficiency depends on an efficient building stock—the sector with the greatest potential for energy savings, as more than a third of all primary energy is consumed in buildings. A new instrument, the smart ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Rapid assessment of steel machinability through spark analysis and data-mining techniques
Goran Munđar, Miha Kovačič, Miran Brezočnik, Krzysztof Stępień, Uroš Župerl
Izvirni znanstveni članek
Oznake: obdelovalnost jekla;testiranje isker;podatkovno rudarjenje;strojni vid;konvolucijske nevronske mreže;steel machinability;spark testing;data mining;machine vision;convolutional neural networks;
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 methodology to rapidly determine steel machinability using s ...
Leto: 2024 Vir: Fakulteta za strojništvo (UM FS)
Št. zadetkov: 3
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