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  1. 4341

    Numerical Simulation of Mixing Characteristics in the Eccentric Rotor Extruder with Different Process Conditions and Structural Parameters by De-jun Fan, Ming-kai Yang, Zhi-gao Huang, Jin-song Wen

    Published 2019-01-01
    “…Numerical simulation was performed with the computational fluid dynamics analysis software POLYFLOW to investigate the influence of different process conditions and structural parameters on mixing characteristics of the eccentric rotor extruder. …”
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    Evolved Motor Design Process to Reduce the Design Expense of Axial Flux Permanent Magnet Motor by Jong-Min Ahn, Dong-Kuk Lim, Min-Mo Koo

    Published 2025-01-01
    “…This paper proposes a design process that combines an initial electromagnetic design using analytical techniques with an optimal design based on a multi-objective optimization algorithm, aiming to reduce the design cost of an axial flux permanent magnet motor for urban air mobility traction. …”
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  4. 4344

    Research on Thermal Field Dynamic Response in Air- conditioning Room during Start- Up Process by 张欢, 宋国军, 王志刚, 李瑞新, 李秋生

    Published 2005-01-01
    “…In this study, Fluent as a computational fluid dynamic software was used to simulate the process of unsteady heat conduction and convection of the air in an air - conditioning room during the start - up process of the air - conditioning instruments. …”
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  5. 4345

    Influence of Different Machining Processes on Fatigue life Performance of Engineered Surfaces: a Short Review by Wit Grzesik

    Published 2022-05-01
    “…In this paper fundamental information on the influence of the real machined surfaces generated by different machining processes on the fatigue life of machine parts are presented. …”
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  6. 4346

    Fracture processes numerical modeling of elastic-brittle bodies with statistically distributed subregions strength values by E.V. Feklistova, A.I. Mugatarov, V.E. Wildemann, A.A. Agishev

    Published 2024-04-01
    “…The loading diagrams obtained in computational simulations, the corresponding growth curves of the destroyed elements relative number and the damaging process kinetics are analyzed. …”
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  7. 4347

    Surrogate-Assisted Multi-Objective Snow Goose Algorithm With Gaussian Process for Cold Chain Logistics by Jian Wu, Zong-Juan Yang, Zhi-Gang Du, Ai-Qing Tian

    Published 2025-01-01
    “…The optimization is conducted within essential operational constraints, such as temperature regulation, vehicle loading capacities, and specified delivery time windows. To address the computational complexity and high evaluation costs of the objective functions, the GP-SAMOSGA integrates a Gaussian Process (GP) surrogate model with the Multi-Objective Snow Goose Algorithm (MOSGA). …”
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  8. 4348

    Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality by Mohammad Zangane, Mohammad Shahbazi, Seyed Ali Niknam

    Published 2025-02-01
    “…Based on process signatures, the framework provides a data-driven approach to monitoring and optimizing machining processes in real-time.…”
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  9. 4349
  10. 4350

    Advanced Signal Processing Algorithm-Based State Estimation and Denoising of ECG Signals for Biomedical Applications by Saad Arif, Mohammad Maroof Maroof Siddiqui, Nayef Alqahtani, Kamran Shah, Muhammad Attique Attique Khan, Naoufel Kraiem

    Published 2025-01-01
    “…The simulation results validate that the PF-based state estimation framework is not only more precise and robust to noise but also computationally efficient, making it ideal for ECG signal processing in wearable health monitoring and real-time cardiac diagnostics.…”
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  11. 4351

    Statement of the problem modeling the process vacuum microwave drying for determining temperature fields in foamed suspensions by V. V. Tkach, G. O. Magomedov, A. A. Shevtsov

    Published 2023-08-01
    “…The aim of the study is to formulate a mathematical model of the process of vacuum microwave drying to determine the temperature fields in foamed suspensions. …”
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    Physics-Informed Neural Network for monitoring the sulfate ion adsorption process using particle filter by WANCLEY O. PEDRUZZI, CARLOS EDUARDO R. DALLA, WELLINGTON B. DA SILVA, DAMARIS GUIMARÃES, VERSIANE A. LEÃO, JULIO CESAR S. DUTRA

    Published 2024-11-01
    “…We also couple the PINN with a sampling importance resampling particle filter, a Bayesian technique that allows the filter and estimate states of the process, quantifying uncertainties of experimental measurements. …”
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  18. 4358

    Multi-Control-Volume Analysis of the Compression Process in a High-Temperature Root's Type Compressor by David I. Blekhman, Joseph C. Mollendorf, James D. Felske, John A. Lordi

    Published 2004-01-01
    “…In this study we have modeled a high-temperature Root's type compressor and compared predicted results with measurements. Compression process is modeled using multiple control volumes. …”
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