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  • Open Access

    ARTICLE

    Rheological Properties of Solid Rocket Propellants Based on Machine Learning

    Minghai Zheng1, Zhaoxia Cui1,*, Jiang Liu1, Jianjun Li2

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 431-455, 2025, DOI:10.32604/cmes.2025.071913 - 30 October 2025

    Abstract To accurately depict the strong nonlinear relationship between the viscosity of propellant slurry and shear rate, premix time, and temperature, and to improve the prediction accuracy, based on the sample preparation and experimental measurement of a certain type of propellant, viscosity data under multiple working conditions were obtained as the basic data for the research. By comparing typical models such as support vector regression and random forest, it was found that although the traditional BP neural network was superior to the both, its accuracy was still insufficient. Based on this, a BP model co-optimized by… More >

  • Open Access

    ARTICLE

    Leader-employee calling congruence and voice behaviour: The mediating role of perceived insider status

    Xiaolin Zhang1, Shujie Li2, Enguo Wang1,*

    Journal of Psychology in Africa, Vol.35, No.1, pp. 75-81, 2025, DOI:10.32604/jpa.2025.065767 - 30 April 2025

    Abstract This study examined the relationship between leader-employee calling congruence on employees’ voice behaviour. Participants were 173 leader-employee dyads from the Chinese service industry. They completed online surveys on calling, perceived insider status, and voice behaviour. Results from polynomial regression and response surface analysis showed that employees perceived insider status to be weaker with the low leader-low subordinate calling congruence, and stronger with high leader and high subordinate calling congruence. Employees perceived insider status is stronger in low leader and high subordinate calling incongruence compared with high leader and low subordinate calling incongruence. Perceived insider status More >

  • Open Access

    ARTICLE

    Effect of Fibre Size on Mechanical Properties and Surface Roughness of PLA Composites by Using Fused Deposition Modelling (FDM)

    Aida Haryati Jamadi1, Nadlene Razali1,3,*, Sivakumar Dhar Malingam1,3, Mastura Mohammad Taha2,3

    Journal of Renewable Materials, Vol.11, No.8, pp. 3261-3276, 2023, DOI:10.32604/jrm.2023.028280 - 26 June 2023

    Abstract Natural fibre as a reinforcing agent has been widely used in many industrial applications. Nevertheless, several factors need to be considered, such as the size and weight percentage of the fibre used in binding. Using fused deposition modelling (FDM), this factor was investigated by varying the size of natural fibre as the responding variable with a fixed weight percentage of kenaf fibre. The process of modifying the natural fibre in terms of size might increase the dispersion of kenaf fibre in the polymer matrix and increase the adhesion bonding between the fibre and matrix of… More >

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