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作 者:韩浩鸣 翁飞 HAN Haoming;WENG Fei(Xi’an Aeronautical Polytechnic Institute,Xi’an 710089,China)
出 处:《造纸科学与技术》2025年第2期93-98,共6页Paper Science And Technology
基 金:2024年度西安航空职业技术学院科研计划项目(24XHJG03)。
摘 要:基于以随机生成法生成的纸页结构模型,进行了纸页结构计算机智能化模拟及性能预测。通过适应性优化分段OBB包围盒碰撞检测算法,加快了纸张纤维间结合区域的检测速度,提高了纤维间结合区域的检测准度,而且在模拟纸张纤维间结合力时,直接选择改进弹簧模型对结合力进行计算机智能化模拟。在此基础上,以恒速拉伸法动态化模拟纸页结构模型,预测纸张纤维力学性能,并以其他模型进行了对比分析测试。结果发现,纸页结构模型中的纸张纤维重均长度和纸页定量,与设定值的误差小于1%,可用于纸页性能计算机智能化模拟预测;纸页结构模型预测抗张强度时,相对误差均控制于10%以内,可较好地预测纸页抗张强度,且相较而言耗时短,速度快,内存消耗少,模拟计算能力优异。Based on the paper structure model generated by random generation method,computer intelligent simulation and performance prediction of paper structure were carried out.By adaptively optimizing the segmented OBB bounding box collision detection algorithm,the detection speed of the bonding area between paper fibers has been accelerated,and the detection accuracy of the bonding area between fibers has been improved.Moreover,when simulating the bonding force between paper fibers,the spring model is directly selected to connect the bonding position between paper fibers to simulate the bonding force.On this basis,the paper structure model was dynamically simulated using the constant speed stretching method to predict the mechanical properties of paper fibers,and compared and analyzed with other models.The results show that the average fiber weight length and paper weight in the paper structure model has an error of less than 1%compared to the set values,which can be used for simulating and predicting paper performance;the relative error of the paper structure model in predicting tensile strength is controlled within 10%,which can effectively predict the tensile strength of paper.Compared with other models,it has the advantages of short time consumption,fast speed,low memory consumption,and excellent simulation and calculation ability.
关 键 词:造纸设备 纸页结构 计算机模拟技术 性能预测 纸张纤维
分 类 号:TS73[轻工技术与工程—制浆造纸工程]
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