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Jordan Journal of Mechanical and Industrial Engineering最新文献

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Vibration Feature Extraction and Artificial Neural Network-based Approach for Balancing a Multi-disc Rotor System 多盘转子系统振动特征提取及人工神经网络平衡方法
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-09-01 DOI: 10.59038/jjmie/170312
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引用次数: 0
Position Control of Active Magnetic Bearing (AMB) Using Luenberger-like Observer Based Backstepping Control 基于luenberger观测器的主动磁轴承反步控制
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-09-01 DOI: 10.59038/jjmie/170314
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引用次数: 0
The Effect of Multi-Walled Carbon Nanotubes on the Mechanical Properties of Composite Material Carbon Fibers/Polyester Used in Ships Hulls 多壁碳纳米管对船体用碳纤维/聚酯复合材料力学性能的影响
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-09-01 DOI: 10.59038/jjmie/170304
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引用次数: 0
Effect of Dynamic Swiveling Torque and Eccentricity on the Design of Compensator Cylinders for a Variable Displacement Axial Piston Pump–Modelling & Simulation 动态转矩和偏心对变量轴向柱塞泵补偿缸设计的影响——建模与仿真
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170209
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引用次数: 0
Improving the COPRAS Multicriteria Group Decision-Making Method for Selecting a Sustainable Supplier Using Intuitionistic and Fuzzy Type 2 Sets 用直觉和模糊2型集改进选择可持续供应商的COPRAS多准则群决策方法
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170206
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引用次数: 0
On the Morphological and Tribological Characterization of Green Automotive Brake Pads Developed from Waste Thais Coronata Seashells 废旧泰国冠状贝制备的绿色汽车刹车片的形态与摩擦学特性研究
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170207
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引用次数: 0
The Effect of Alloying, Processing and Heat Treatment on the Wear Resistance of Al-Cu-Mg-Ag Alloys 合金化、加工和热处理对Al-Cu-Mg-Ag合金耐磨性的影响
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170208
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引用次数: 0
Thermal performance analysis of heat transfer in pipe by using metal foam 金属泡沫管内传热的热性能分析
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170205
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引用次数: 1
Selecting the Best Material for Hydrogen Storage Using the Analytical Hierarchical Process 用层次分析法选择最佳储氢材料
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170214
Hydrogen is becoming more important as a source of energy for many applications. Hydrogen storage is a challenge task in developing this technology. There are many methods for hydrogen storage. The most common method to store hydrogen is complex hydrides. In this study, the analytical hierarchical process (AHP) is used to select the best material for hydrogen storage device. The model is built using four criteria, including: mechanical properties, physical properties, chemical properties and cost. LiBH4, NaAlH4, LiNH2, Mg4NiPd, KAlH4, Mg (AlH4), Li3AlH6, Na2LiAlH6 were used as alternatives to select among them. The results show that Mg4NiPd is the best material. Both inconsistency and sensitivity analysis were done and showed that model is robust
氢作为许多应用的能源正变得越来越重要。储氢是开发这项技术的一项挑战性任务。储氢的方法有很多。最常见的储氢方法是络合氢化物。本研究采用层次分析法(AHP)来选择储氢装置的最佳材料。该模型使用四个标准建立,包括:机械性能、物理性能、化学性能和成本。使用LiBH4、NaAlH4、LiNH2、Mg4NiPd、KAlH4、Mg(AlH4)、Li3AlH6、Na2LiAlH6作为替代品进行选择。结果表明,Mg4NiPd是最佳材料。进行了不一致性和敏感性分析,结果表明该模型是稳健的
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引用次数: 0
CFD Simulation of Energy Transfer within a Membrane Heat Exchanger under Turbulent Flow 湍流条件下膜式换热器内能量传递的CFD模拟
IF 1.2 Q3 ENGINEERING, MECHANICAL Pub Date : 2023-06-01 DOI: 10.59038/jjmie/170201
Shuruq Shawish, Diala Bani Mostafa, Rafat F. Al-Waked, M. Nasif
Air-to-air fixed plate enthalpy membrane exchanger is considered one of the equipment used in energy recovery services. Thermal performance of air-to-air energy recovery ventilator is examined numerically using a 3D CFD simulation. Air flow inside the exchanger is tested using four numerical turbulence models: Standard k-ε, k-ε renormalization group (RNG), k-ε realizable and k-ω shear-stress transport (SST) models. The adopted heat and mass exchange element within the ventilator (membrane) is a thin 98 µm porous 60 gsm Kraft paper. A user defined function (UDF) has been developed to enable the CFD model to estimate amounts of mass exchanged between the two sides of the membrane. Grid dependency study is conducted and results have shown that a perpendicular distance of 50  m or less from the membrane surface would result in a negligible variation in the ERV thermal effectiveness. The validated CFD model and UDF code against experimental measurement resulted in a maximum difference in thermal effectiveness of 3.6%. Results have shown that the SST k-ω turbulence models under enhanced wall treatment showed more sensitivity to flow at all Re values when compared with the k-ε simulated models.
空气-空气固定板焓膜换热器被认为是能源回收服务中使用的设备之一。采用三维CFD数值模拟方法对空气-空气能量回收通风机的热性能进行了数值研究。采用标准k-ε、k-ε重整化群(RNG)、k-ε可实现模型和k-ω剪切应力输运(SST)四种湍流数值模型对换热器内的气流进行了测试。通风机(膜)内采用的热交换质元件为98µm多孔60 gsm牛皮纸。开发了用户定义函数(UDF),使CFD模型能够估计膜两侧之间交换的质量量。进行了网格依赖性研究,结果表明,与膜表面垂直距离为50m或更小的距离将导致ERV热效率的变化可以忽略不计。经过验证的CFD模型和UDF代码与实验测量结果的差异最大为3.6%。结果表明,与k-ε模拟模型相比,强化壁面处理下的SST k-ω湍流模型对所有Re值下的流动都更敏感。
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引用次数: 0
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Jordan Journal of Mechanical and Industrial Engineering
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