Michigan Technological University

Michigan Technological University
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    24881 research outputs found

    Daily simulated lake temperature from 2010 to 2014 under the RCP 4.5 condition from the ensemble average of the three GLARM-based downscaling

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    The simulated daily lake temperature of the Great Lakes from 2010 to 2014 under the RCP 4.5 condition from the ensemble average of the three GLARM-based downscalin

    Daily simulated lake temperature from 2015 to 2019 under the RCP 8.5 condition from the ensemble average of the three GLARM-based downscaling

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    The simulated daily lake temperature of the Great Lakes from 2015 to 2019 under the RCP 8.5 condition from the ensemble average of the three GLARM-based downscalin

    Daily simulated lake temperature from 2035 to 2039 under the RCP 8.5 condition from the GLARM-based downscaling of MPI

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    The simulated daily lake temperature of the Great Lakes from 2035 to 2039 under the RCP 8.5 condition from the GLARM-based downscaling of MP

    Daily simulated lake temperature from 2080 to 2084 under the RCP 8.5 condition from the GLARM-based downscaling of GISS

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    The simulated daily lake temperature of the Great Lakes from 2080 to 2084 under the RCP 8.5 condition from the GLARM-based downscaling of GIS

    Daily simulated lake temperature from 2060 to 2064 under the RCP 8.5 condition from the ensemble average of the three GLARM-based downscaling

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    The simulated daily lake temperature of the Great Lakes from 2060 to 2064 under the RCP 8.5 condition from the ensemble average of the three GLARM-based downscalin

    Daily simulated lake temperature from 2020 to 2024 under the RCP 4.5 condition from the GLARM-based downscaling of IPSL

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    The simulated daily lake temperature of the Great Lakes from 2020 to 2024 under the RCP 4.5 condition from the GLARM-based downscaling of IPS

    Daily simulated 2 meter air temperature from 1981 to 2005 under the historical condition from the GLARM-based downscaling of IPSL

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    The simulated daily 2 meter air temperature of the Great Lakes region from 1981 to 2005 under the historical condition from the GLARM-based downscaling of IPS

    Daily simulated lake temperature from 2085 to 2089 under the RCP 8.5 condition from the GLARM-based downscaling of MPI

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    The simulated daily lake temperature of the Great Lakes from 2085 to 2089 under the RCP 8.5 condition from the GLARM-based downscaling of MP

    Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-Based Battery Enclosures for Crashworthiness

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    Carbon fiber composite can be a potential candidate for replacing metal-based battery enclosures of current electric vehicles (E.V.s) owing to its better strength-to-weight ratio and corrosion resistance. However, the strength of carbon fiber-based structures depends on several parameters that should be carefully chosen. In this work, we implemented high throughput finite element analysis (FEA) based thermoforming simulation to virtually manufacture the battery enclosure using different design and processing parameters. Subsequently, we performed virtual crash simulations to mimic a side pole crash to evaluate the crashworthiness of the battery enclosures. This high throughput crash simulation dataset was utilized to build predictive models to understand the crashworthiness of an unknown set. Our machine learning (ML) models showed excellent performance (R2 \u3e 0.97) in predicting the crashworthiness metrics, i.e., crush load efficiency, absorbed energy, intrusion, and maximum deceleration during a crash. We believe that this FEA-ML work framework will be helpful in down select process parameters for carbon fiber-based component design and can be transferrable to other manufacturing technologies

    Daily simulated lake temperature from 2050 to 2054 under the RCP 8.5 condition from the GLARM-based downscaling of IPSL

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    The simulated daily lake temperature of the Great Lakes from 2050 to 2054 under the RCP 8.5 condition from the GLARM-based downscaling of IPS

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    Michigan Technological University is based in United States
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