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Journal of Advanced Manufacturing Systems最新文献

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Scientific and technological innovation rapid emergency resource constraint improved particle swarm optimization project scheduling method 科技创新快速应急资源约束改进粒子群优化项目调度方法
IF 1.4 Q2 Engineering Pub Date : 2022-05-24 DOI: 10.1142/s0219686723500099
Manyi Chen
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引用次数: 1
Cyber secured internet of things enabled additive manufacturing: industry 4.0 perspective 基于网络安全物联网的增材制造:工业4.0视角
IF 1.4 Q2 Engineering Pub Date : 2022-05-24 DOI: 10.1142/s0219686723500129
Yousaf Ali, Syed Waqar Shah, W. Khan, Muhammad Waqas
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引用次数: 1
An integrated method for solving the two-sided assembly line balancing problems 解决双面装配线平衡问题的综合方法
IF 1.4 Q2 Engineering Pub Date : 2022-05-24 DOI: 10.1142/s0219686723500105
N. Wei, Shu-fen Liu, Chengyong Chen, Yonggan Xu, Yi-Yu Shih
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引用次数: 1
Orthogonal Cutting Force Modeling Using the Non-Equipartition Parallel Shear Zone Distribution Model 基于非等分平行剪切带分布模型的正交切削力建模
IF 1.4 Q2 Engineering Pub Date : 2022-05-11 DOI: 10.1142/s0219686723500087
Hualin Zheng, Jinhong Xie, Teng Hu, Jia Fan
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引用次数: 0
Effect of Product Assortment, Internet of Things, Order Fulfillment, Green on Purchase Intention Through the Mediating Role of Shopping Assistance 产品组合、物联网、订单履行、绿色通过购物辅助的中介作用对购买意愿的影响
IF 1.4 Q2 Engineering Pub Date : 2022-05-04 DOI: 10.1142/s0219686723500075
Adeel Shah, Zhang Yu, M. Tanveer, Wajid Ali, A. Saleem
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引用次数: 1
Research on Key Technology of Edge Node Resource Scheduling Based on Linear Programming 基于线性规划的边缘节点资源调度关键技术研究
IF 1.4 Q2 Engineering Pub Date : 2022-04-11 DOI: 10.1142/s0219686723500051
Zhenwang, Nan Yao, Ziquanliu
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引用次数: 1
Preliminary Design of 3-D Printing Prosthetic Hand 三维打印假手的初步设计
IF 1.4 Q2 Engineering Pub Date : 2022-03-07 DOI: 10.1142/s021968672350004x
B. Arthaya, Vincentius Ivan
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引用次数: 1
Analysis of robustness of the operational performance using a combined model of design of experiment and goal programming approaches for a flexible manufacturing cell 基于实验设计与目标规划相结合的柔性制造单元运行性能鲁棒性分析
IF 1.4 Q2 Engineering Pub Date : 2022-02-19 DOI: 10.1142/s0219686723500038
Y. Iç, Mustafa Yurdakul, B. Dengiz, T. Şaşmaz
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引用次数: 1
Comparative Analysis of Grey Relational Analysis Integrated with the Principal Component Analysis and Analytic Hierarchy Process for Multiobjective Optimization of Inclined Laser Percussion Drilling in Carbon Fiber Reinforced Composites 碳纤维增强复合材料倾斜激光冲击钻孔多目标优化的灰色关联分析与主成分分析及层次分析法的比较分析
IF 1.4 Q2 Engineering Pub Date : 2022-02-11 DOI: 10.1142/s0219686721500475
Y. Mishra, S. Mishra, S. Jayswal
Multiobjective optimization (MOO) helps to achieve simultaneous improvement of more than one output characteristic in machining processes where complex interaction between the input parameter exists. This study focuses on the comparative analysis of design of experiment (DoE)-based grey relational analysis (GRA) combined with principal component analysis (PCA) and analytic hierarchy process (AHP). Experiments were conducted with millisecond (ms) duration pulsed Nd: YAG laser using the Box–Behnken design (BBD) approach of the response surface methodology (RSM) at three different levels of input parameters. The output parameters, i.e., hole circularity at top (HCT), hole circularity at bottom (HCB), and hole taper (HT), were determined for various input parameters like pulse current (I), pulse width ([Formula: see text]), gas pressure ([Formula: see text]), workpiece thickness ([Formula: see text]), and incidence angle ([Formula: see text]) during laser percussion inclined hole drilling (LPIHD) in the carbon fiber reinforced polymer (CFRP) of three different thickness, i.e., 1[Formula: see text]mm, 3[Formula: see text]mm, and 5[Formula: see text]mm at incidence angles of 0, 10, and 20 degrees. Multiobjective function based on RSM has been developed for GRA-PCA and GRA-AHP and further optimizations were performed using the desirability approach of RSM. The analysis revealed that the angle of incidence is the most significant factor for controlling the output parameters. Interaction of pulse current and thickness ([Formula: see text]) has a major impact on output responses. The GRA-PCA approach gives the average improvement of 2%, 9%, and 37%, respectively, for HCT, HCB, and HT, whereas in the case of GRA-AHP, the corresponding improvements are only 1%, 6%, and 11%. Therefore, the GRA-PCA approach is a more effective tool for the MOO of LPIHD in CFRP.
多目标优化(MOO)有助于在输入参数之间存在复杂交互的加工过程中同时改善一个以上的输出特性。本研究的重点是基于实验设计的灰色关联分析(GRA)与主成分分析(PCA)和层次分析法(AHP)相结合的比较分析。使用响应面法(RSM)的Box-Behnken设计(BBD)方法,在三个不同的输入参数水平下,用毫秒(ms)持续时间的脉冲Nd:YAG激光器进行了实验。对于各种输入参数,如脉冲电流(i)、脉冲宽度([公式:见正文])、气压([公式,见正文],以及在入射角为0度、10度和20度的三种不同厚度的碳纤维增强聚合物(CFRP)中激光冲击斜孔钻孔(LPIHD)期间的入射角([公式:见正文]),即1[公式:见正文]mm、3[公式:看正文]mm和5[公式:见图正文]mm。针对GRA-PCA和GRA-AHP,开发了基于RSM的多目标函数,并利用RSM的合意性方法进行了进一步的优化。分析表明,入射角是控制输出参数的最重要因素。脉冲电流和厚度的相互作用([公式:见正文])对输出响应有重大影响。GRA-PCA方法对HCT、HCB和HT的平均改善分别为2%、9%和37%,而在GRA-AHP的情况下,相应的改善仅为1%、6%和11%。因此,GRA-PCA方法是CFRP中LPIHD MOO的一种更有效的工具。
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引用次数: 1
Investigations on the choice of Johnson-Cook constitutive model parameters for the orthogonal cutting simulation of Inconel 718 铬镍铁合金718正交切削模拟Johnson—Cook本构模型参数选择的研究
IF 1.4 Q2 Engineering Pub Date : 2022-02-03 DOI: 10.1142/s0219686723500014
M. Gurusamy, Siddharth Sriram
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引用次数: 0
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Journal of Advanced Manufacturing Systems
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