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Journal of Multiscale Modelling最新文献

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Thermal analysis of MHD hybrid nanofluid on stretching/shrinking non-parallel walls with uncertain volume fractions 具有不确定体积分数的拉伸/收缩非平行壁上的 MHD 混合纳米流体的热分析
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-05 DOI: 10.1142/s1756973723500154
Parthkumar P. Sartanpara, R. Meher
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引用次数: 0
Thermoelastic Interaction in a Functionally Graded Medium due to Refined Three-Phase-Lag Green-Naghdi Model Under Gravitational Field 引力场下功能分级介质中的热弹性相互作用--基于改进的三相滞后格林-纳格迪模型
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-15 DOI: 10.1142/s1756973723500129
P. Purkait, Mridula Kanoria
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引用次数: 0
Multiscale phase-field modeling of fracture in nanostructures 纳米结构断裂的多尺度相场建模
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-15 DOI: 10.1142/s1756973723500130
Mohsen Jahanshahi, Amir Reza Khoei, Niloofar Asadollahzadeh, Fadi Aldakheel
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引用次数: 0
Caputo-Fabrizio heat transport in a moving thin slab due to laser pulse 激光脉冲在移动薄板中的卡普托-法布里齐奥热传导
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-08 DOI: 10.1142/s1756973723500117
A. Sur
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引用次数: 0
A multi-scale computer model of mechanical ventilation for COVID-19 patients COVID-19 患者机械通气的多尺度计算机模型
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-01 DOI: 10.1142/s1756973723500105
Shea Middleton, Elizabeth Dimbath, V. Maddipati, M. S. Peach, Andrew W. Ju, Stephanie George, Alex Vadati
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引用次数: 0
A Finite Element Analysis of the effects of anchorage reaction forces and moments on structural stability of mast climbing work platforms 锚固反力和力矩对桅杆攀爬工作平台结构稳定性影响的有限元分析
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-09-01 DOI: 10.1142/s1756973723500099
John Z. Wu, Christopher S. Pan, B. Wimer, Christopher M. Warren, Francois Villeneuve, Ren G. Dong
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引用次数: 1
Multi-scale Modeling and Analysis of Three-Dimensional Woven Composites Shell with Cut-Outs 三维带切口编织复合材料壳体的多尺度建模与分析
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-08-30 DOI: 10.1142/s1756973723500087
S. K. Panigrahi, Mithilesh Kumar Dewangan, Pankaj Kumar
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引用次数: 0
A Modified Decision-Making Optimization Approach During Machining of Carbon Fabric and Reduced Graphene Oxide Reinforced (CF/rGO) Polymer Nanocomposites 碳织物和还原氧化石墨烯增强(CF/rGO)聚合物纳米复合材料加工中的改进决策优化方法
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-08-21 DOI: 10.1142/s1756973723500051
S. Kesarwani, R. Verma, S. Jayswal
Manufacturing industries are rapidly growing with varying customer needs, and efficient quality control tools are widely used to optimize product/process performances. This paper highlights the modified quality control module to optimize the milling performances of polymer nanocomposites. The carbon fabric and reduced graphene oxide reinforced (CF/rGO) polymer composites are machined at varying process constraints. The experimentation was designed according to Taguchi’s orthogonal array. The Milling performances were optimized using a multi-criterion decision-making (MCDM) tool based on a combination distance-based assessment (CODAS) optimization method. The desired value of surface roughness (Ra) and cutting force (Fc) is examined during the machining of the developed polymer. CODAS optimization module efficiently combined the various contradictory parametric outcomes into a single objective assessment value (Hi), which could not be possible by utilizing the usual conventional Taguchi method. Specifically, the optimal machining conditions were found to be rGO wt.%—1, speed—2000[Formula: see text]rpm, feed—80[Formula: see text]mm/min, DoC—1.5[Formula: see text]mm. Overall, the findings demonstrate the practicality of the recommended MCDM tool, which outperformed the usual conventional Taguchi method. The optimal assessment score of CODAS was noted as 1.904, which confirms the better viability of the current MCDM approach. This study contributes to the advancement of efficient quality control tools that can be widely used to optimize product/process performances in manufacturing industries.
随着客户需求的变化,制造业正在迅速发展,高效的质量控制工具被广泛用于优化产品/过程性能。本文重点介绍了改进的质量控制模块,以优化聚合物纳米复合材料的铣削性能。碳织物和还原氧化石墨烯增强(CF/rGO)聚合物复合材料在不同的工艺限制下进行加工。实验依据田口正交阵设计。采用基于组合距离评估(CODAS)优化方法的多准则决策(MCDM)工具对铣削性能进行优化。在该聚合物的加工过程中,检测了表面粗糙度Ra和切削力Fc的期望值。CODAS优化模块有效地将各种相互矛盾的参数结果合并为一个单一的客观评价值(Hi),这是传统的田口法无法实现的。具体而言,最佳加工条件为:rGO wt. -1,转速- 2000[公式:见文]rpm,进给- 80[公式:见文]mm/min, DoC-1.5[公式:见文]mm。总的来说,研究结果证明了推荐的MCDM工具的实用性,它优于通常的传统田口方法。CODAS的最优评价得分为1.904,证实了当前MCDM方法的可行性较好。本研究有助于提高有效的质量控制工具,可广泛用于优化制造业的产品/过程性能。
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引用次数: 0
Cross diffusion and higher order chemical reaction effects on Hydromagnetic Copper-Water nanofluid flow over a rotating cone with porous medium 多孔介质旋转锥上铜-水纳米流体流动的交叉扩散和高阶化学反应效应
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-07-28 DOI: 10.1142/s1756973723500063
K. Padmaja, B. Rushi Kumar, O. Anwar Bég, T. Bég
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引用次数: 0
Effect of magnetic field and Inclined load on a Two-Dimensional Thermoelastic Medium Under Gravity 重力作用下磁场和倾斜载荷对二维热弹性介质的影响
IF 1.5 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-07-28 DOI: 10.1142/s1756973723500075
A. De, P. Purkait, P. Das, M. Kanoria
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引用次数: 0
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Journal of Multiscale Modelling
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