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  • Open Access

    ARTICLE

    Characterization of Unsaturated Polyester Filled with Waste Coconut Shells, Walnut Shells, and Carbon Fibers

    Marwah Subhi Attallah, Reem Alaa Mohammed*, Ruaa Haitham Abdel-Rahim

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.10, pp. 2449-2469, 2023, DOI:10.32604/fdmp.2023.027750

    Abstract This study aims to evaluate the erosion behavior and the hardness of hybrid composites made of varying amounts of coconut shells, walnut shells, and carbon fibers dispersed in a polyester matrix. MINITAB (L16) Taguchi experiments were used to determine the optimal combination of parameters. In particular, an erosion device consisting of a motor with a constant flow rate of 45 L/min, a pump with a diameter of 40 mm, a nozzle with a diameter of 5 mm, and a tank made of “perspex glass” 55 cm long, 30 cm tall, and 25 cm wide was used. The tests were conducted by varying the sample-to-nozzle distance, the… More > Graphic Abstract

    Characterization of Unsaturated Polyester Filled with Waste Coconut Shells, Walnut Shells, and Carbon Fibers

  • Open Access

    ARTICLE

    The Physiological and Molecular Responses of Exogenous Selenium to Selenium Content and Fruit Quality in Walnut

    Mufang Sun1, Xinran Hui2, Cuiling Tong3, Longyi Yuan2, Dejian Zhang1,2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 851-860, 2023, DOI:10.32604/phyton.2022.025147

    Abstract To study the effect of exogenous selenium on fruit quality in walnut (Juglans regia L.), 8-year-old walnut (Qingxiang) was taken as the research object. In the fruit expansion stage, 300 mg/L of sodium selenate, yeast selenium and sodium selenite solutions were applied on the leaf of walnut, and the selenium levels in leaves, pericarp and kernel were determined at the ripening stage. The fruit quality, mineral nutrient content, antioxidant enzyme activity, and related genes’ expression were analyzed. The results showed that the three exogenous selenium increased the selenium levels in leaves, pericarp and kernel of walnut. They also significantly increased… More >

  • Open Access

    ARTICLE

    Simulation Analysis of Stress Field of Walnut Shell Composite Powder in Laser Additive Manufacturing Forming

    Yueqiang Yu1, Tingang Ma1, Suling Wang1,*, Minzheng Jiang1, Yanling Guo2,3, Ting Jiang1,*, Shuaiqi Huang1, Ziming Zheng1, Bo Yan1, Jiyuan Lv1

    Journal of Renewable Materials, Vol.11, No.1, pp. 333-347, 2023, DOI:10.32604/jrm.2022.022296

    Abstract A calculation model of stress field in laser additive manufacturing of walnut shell composite powder (walnut shell/Co-PES powder) was established. The DFLUX subroutine was used to implement the moveable application of a double ellipsoid heat source by considering the mechanical properties varying with temperature. The stress field was simulated by the sequential coupling method, and the experimental results were in good accordance with the simulation results. In addition, the distribution and variation of stress and strain field were obtained in the process of laser additive manufacturing of walnut shell composite powder. The displacement of laser additive manufacturing walnut shell composite… More > Graphic Abstract

    Simulation Analysis of Stress Field of Walnut Shell Composite Powder in Laser Additive Manufacturing Forming

  • Open Access

    ARTICLE

    Machine Learning-based Detection and Classification of Walnut Fungi Diseases

    Muhammad Alyas Khan1, Mushtaq Ali1, Mohsin Shah2, Toqeer Mahmood3, Muneer Ahmad4, NZ Jhanjhi5, Mohammad Arif Sobhan Bhuiyan6,*, Emad Sami Jaha7

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 771-785, 2021, DOI:10.32604/iasc.2021.018039

    Abstract Fungi disease affects walnut trees worldwide because it damages the canopies of the trees and can easily spread to neighboring trees, resulting in low quality and less yield. The fungal disease can be treated relatively easily, and the main goal is preventing its spread by automatic early-detection systems. Recently, machine learning techniques have achieved promising results in many applications in the agricultural field, including plant disease detection. In this paper, an automatic machine learning-based detection method for identifying walnut diseases is proposed. The proposed method first resizes a leaf’s input image and pre-processes it using intensity adjustment and histogram equalization.… More >

  • Open Access

    ARTICLE

    Prediction and Analysis of Post-Treatment of Sustainable Walnut Shell/Co-PES Parts by Laser Sintering

    Yueqiang Yu1, Suling Wang1,*, Minzheng Jiang1, Yanling Guo2,3, Ting Jiang1,*

    Journal of Renewable Materials, Vol.9, No.2, pp. 351-364, 2021, DOI:10.32604/jrm.2021.012885

    Abstract In order to enhance the strength of sustainable walnut shell/Co-PES (WSPC) sintered parts, wax-filtrated post-treatment was carried out. The effects of treating fluid temperature, preheating time and immersion time on the bending strength of WSPC wax-filtrated parts were analyzed by single factor analysis method. To obtain an accurate model for predicting the bending strength of the WSPC wax-filtrated part, the experiments were involved by using Box-Behnken design (BBD). Main parameters, such as treating fluid temperature, preheating time and immersion time, and their interactive effects were analyzed through analysis of variance (ANOVA) and graphical contours. The results demonstrated that all parameters’… More >

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