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Mihaela MARIN

4 linked publication records

Author: Mihaela MARINSubject: Informaticsclear all
Showing 1-4 of 4 records
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SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing
Publication

EXPERIMENTAL AND PREDICTION THE CORROSION RESISTANCE OF SOME SINTERED IRON ALLOYS SUBJECTED TO A THERMOCHEMICAL TREATMENT BY USING ARTIFICIAL NEURAL NETWORKS

(STEF92 Technology, 2020-09-20, Mihaela MARIN, Florin Bogdan Marin, Carmela Gurău, Gheorghe Gurău)

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In this paper, a computational method to predict the corrosion resistance of some sintered iron alloys subjected to a thermochemical treatment is analyzed. The proposed materials are obtained by powder metallurgy (P/M) route. The raw materials are prepared from atomized pre-alloyed iron base powders. The compacted samples were obtained by cold pressing using conventional route. The powders were compacted at a pressures of 400 and 600 MPa. After pressing, the green compacts were sintered in a laboratory furnace. Th...

Informatics2020
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing
Publication

WEED SPECIES IMAGE RECOGNITION USING DEEP LEARNING TECHNIQUE FOR SELECTIVE SPOT SPRAYING

(STEF92 Technology, 2020-09-20, Florin Bogdan Marin, Gheorghe Gurău, Carmela Gurău, Mihaela MARIN)

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Application of image processing recognition in the agricultural field is a difficult and intensive task. Recent years developments of technologies such as GPUs (Graphics Processing Units) and the fast development of artificial intelligence algorithms allows the reliability of using computer vision technology to be used for recognition of plants, including weeds, ensuring the efficiency of intelligent agricultural systems. Computer vision technology uses a camera and a computer to identify and measure objects in th...

Informatics2020
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publication

A COMPUTATIONAL METHOD TO PREDICT THE DIMENSIONAL CHANGES IN SOME POWDER METALLURGY MATERIALS

(STEF92 Technology, 2019-06-20, Mihaela MARIN)

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In this paper, a computational method to predict the dimensional changes in some powder metallurgy materials is used. The samples prepared from pre-alloyed iron base powders produced by atomization (< 45, 45-63, 63-100, 100-150, >150?m) were the materials analyzed in this paper. The analyzed powders were compressed in a mold using uniaxial pressing at 400 and 600 MPa with the disc dimensions of ? 8 ? 6 mm. The sintering temperature was approximately 1.150 °C for 60 and 90 minutes. The density in green and sintered...

Informatics2019
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publication

USE OF ARTIFICIAL NEURAL NETWORK IN PREDICTING THE WEAR RESISTANCE OF SOME IRON-BASED POWDER METALLURGY MATERIALS SUBJECTED TO A THERMOCHEMICAL TREATMENT

(STEF92 Technology, 2019-06-20, Mihaela MARIN)

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In this paper, the artificial neural network (ANN) technique is used to predict the wear resistance e under dry sliding conditions of some iron-based powder metallurgy materials subjected to a thermochemical treatment. The analyzed specimens were obtained using the conventional powder metallurgy route: mixing the raw powders with 1% zinc stearate, cold compacting at a pressure of 400 MPa and sintering at a temperature of 1150°C for 60 minutes. Following the sintering step, the specimens were subjected to carburizi...

Informatics2019
Showing 1-4 of 4 records
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