Faculty:
Faculty of Engineering Science



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 ING

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 Bayreuth,  Germany

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 Faculty of Engineering Science at the University of Bayreuth

 Fakultät für Ingenieurwissenschaften an der Universität Bayreuth

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Supervisor: Fischerauer, Gerhard ×

Research Data search results

Now showing 1 - 2 of 2
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    Research DataOpen Access
    MRT_2024_09_12 Medium-duty road freight transport - Investigation on battery electric and fuel cell trucks with a prediction until 2050 - Supplemetary Materials
    (2024-09-26) Dollinger, Manfred
    MRT_2024_09_12 contains the following data: Table S1: Drive_data_BET_FCET_short_tour_details Table S2: Drive_data_BET_FCET_long_tour_details Table S3: Truck_weight_short_tour_details Table S4: Truck_weight_long_tour_details Table S5: Truck_accessories_details Figure S6: Consumption_shares_deatils Figure S7: Profile_data_short_tour_confidential Figure S8: Profile_data_long_tour_confidential Table S9: Simulation_Data_long_tour Table S10: Simulation data_short_tour Table S11: DAF_XF_480_data_sheet Table S12: DAF_XG_480_truck_data_sheet
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    Research DataOpen Access
    Determination of the bentonite content in molding sands using AI-enhanced electrical impedance spectroscopy
    (2024) Ma, Xiaohu; Fischerauer, Alice; Haacke, Sebatian; Fischauer, Gerhard
    MUT-InfoMo data contains the measured raw impedance data recorded by Agilent E4980A LCR meter in a frequency range from 20 Hz to 1 MHz, along with water content and sample density. The measuring cell consists of two opposing electrodes embedded within the inner wall of a cylindrical chamber with a diameter of 5 cm. The electrodes, made from C45 steel, are insulated from the chamber walls using retaining rings fabricated from polyetheretherketone (PEEK). The measurements were performed at laboratory conditions. Columns from 1:201 are the real components of Impedance spectrum. Columns from 202:402 are the negative imaginary component of Impedance spectrum. Column 403 is the water content, column 404 is the density, column 405 is the target variable bentonite content. Finally, an excel data files was stored, with which the FCNNs were trained and tested.