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  1. 661

    Dynamic Parameter Identification of Tool-Spindle Interface Based on RCSA and Particle Swarm Optimization by Erhua Wang, Bo Wu, Youmin Hu, Shuzi Yang, Yao Cheng

    Published 2013-01-01
    “…This study proposed an identification method to recognize the connection parameters at the tool-holder interface by using RCSA and particle swarm optimization (PSO). In this paper, the XHK machining center is divided into two components, which are the tool and the spindle assembly firstly. …”
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  2. 662

    Analysis of the Coal Fluidization Mining Process with the Continuous-Discontinuous Coupled Particle-Block Method by Jing Li, Chun Feng, Xinguang Zhu, Yiming Zhang

    Published 2022-01-01
    “…Accordingly, in this work, a continuous–discontinuous element method is adopted, which is a coupled particle–block finite-discrete element method with an explicit integration formulation, which is adopted for simulating the coal in situ fluidization mining–filling processes. …”
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  3. 663

    Large-Scale Direct Shear Test on Tire Slice Reinforced Crushed Concrete Particles by Qiang Ma, Hang Shu, Jia Mou, Lihua Li, Zhenyi Zheng

    Published 2020-01-01
    “…The test results show that the addition of tire slices can increase the internal friction angle and cohesion of concrete particles, therefore increase the shear strength of crushed concrete particles. …”
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  4. 664
  5. 665

    Analysis of tensile properties in tempered martensite steels with different cementite particle size distributions by Kengo Sawai, Keiya Sugiura, Toshio Ogawa, Ta-Te Chen, Fei Sun, Yoshitaka Adachi

    Published 2024-11-01
    “…This means that decreasing the number of coarse cementite particles and increasing the number of fine cementite particles improve the strength–ductility balance. …”
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  6. 666
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    Slip Effects on Peristaltic Transport of a Particle-Fluid Suspension in a Planar Channel by Mohammed H. Kamel, Islam M. Eldesoky, Bilal M. Maher, Ramzy M. Abumandour

    Published 2015-01-01
    “…It is found that the critical reflux pressure is lower for the particle-fluid suspension than for the particle-free fluid and is affected by slip condition. …”
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  11. 671

    Parameters Optimization of Multipass Milling Process by an Effective Modified Particle Swarm Optimization Algorithm by Cuiyu Wang, Wenwen Wang, Yiping Gao, Xinyu Li

    Published 2022-01-01
    “…This research focuses on determining the optimal parameters of a multipass milling process using an improved particle swarm optimization (PSO) method. The objective is to minimize the production time. …”
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  12. 672

    Physicomechanical and Thermal Properties of Particle Board Produced Using Waste Ceramic Materials and Corncob by O. J. Aladegboye, O. J. Oyedepo, T. J. Awolola, O. D. Oguntayo, O. Y. Babatunde, O. T. Ilesanmi, P. P. Ikubanni

    Published 2024-01-01
    “…The particleboards produced are recommended for wall partitioning and other internal and external purposes.…”
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  13. 673
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  15. 675

    Retracted: VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information by Zhonggao Yang, Dan Xiang, Yili Cheng

    Published 2020-01-01
    “…This algorithm is based on particle swarm optimization, combined with the advantages of traditional mutual information algorithm, according to the characteristics of virtual reality imaging, a new model is established. …”
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    Article
  16. 676
  17. 677

    Evaluation and Analysis of Multimedia Collaborative Building Design Relying on Particle Swarm Optimization Algorithm by Tao Yang

    Published 2021-01-01
    “…This article proposes improvements to the placement, organizational structure, and adaptability of the evaluation model and proposes a comprehensive evaluation model for the multiattribute scheme of the particle swarm optimization algorithm. …”
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  18. 678

    Development and Structural Evaluation of Dog Bone Particle–Reinforced Epoxy Composites for Biomedical Applications by Adebayo Felix Owa, Peter Apata Olubambi

    Published 2024-01-01
    “…Scanning electron microscopy (SEM) examination of the fractured surfaces revealed the homogeneous distribution of the dog bone particulates within the epoxy matrix, which caused the property enhancement. …”
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  19. 679
  20. 680

    Inverse Modeling of Nonlinear Artificial Muscle Using Polynomial Parameterization and Particle Swarm Optimization by Mohd Azuwan Mat Dzahir, Shin-ichiroh Yamamoto

    Published 2020-01-01
    “…The regression constants of these coefficients were characterized from the hysteresis dataset by using model parameter identification and the particle swarm optimization (PSO) method. The result from model simulation shows the root mean square error (RMSE) value of less than 10% error was evaluated at various excitation frequencies and external forces. …”
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