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International Journal of Internet Manufacturing and Services最新文献

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Sustainable manufacturing of advanced Mg-Zn-HAp/rGO hybrid nanocomposites and evaluation of mechanical and microstructural properties 先进Mg-Zn-HAp/rGO杂化纳米复合材料的可持续制造及力学和微观结构性能评价
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.132745
Venkata Satya Prasad Somayajula, Sashi Bhushan Prasad, Subhash Singh
The growing demands of the consumers in the modern society has resulted in many advancements in the field of material science and manufacturing technology. It has become a necessity to meet the increasing demands of the consumers. The increasing manufacturing sectors have negatively impacted the environment and its resources in terms of pollution and material wastages. Therefore, to save the environment and reduce the environmental impact, the concept of sustainable manufacturing or green manufacturing came into existence. This focuses on manufacturing processes with minimal wastage and lower environmental impact. Keeping this in mind, the present study focuses on an efficient and sustainable manufacturing technique of stir casting to fabricate the hybrid nanocomposite (HNC) of a binary Mg-2.5Zn alloy, reinforced with various weight percentages of reduced graphene oxide (rGO) and hydroxyapatite (HAp). The Mg-based HNCs manufactured with enhanced mechanical characteristics endorses the green manufacturing technique due to minimal material wastage.
现代社会中消费者日益增长的需求导致了材料科学和制造技术领域的许多进步。它已成为满足消费者日益增长的需求的必需品。不断增加的制造业部门在污染和材料浪费方面对环境及其资源产生了负面影响。因此,为了拯救环境,减少对环境的影响,可持续制造或绿色制造的概念应运而生。这侧重于制造过程中尽量减少浪费和降低对环境的影响。考虑到这一点,本研究的重点是一种高效和可持续的搅拌铸造制造技术,以制备二元Mg-2.5Zn合金的混合纳米复合材料(HNC),并用不同重量百分比的还原氧化石墨烯(rGO)和羟基磷灰石(HAp)进行增强。由于材料损耗最小,制造的具有增强机械特性的镁基HNCs支持绿色制造技术。
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引用次数: 0
A real-time data acquisition method of industrial production line based on OPC technology 基于OPC技术的工业生产线实时数据采集方法
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10049302
Airong Xu, Panpan He, Kaiyuan Meng, Jijun Xue, Chao Wang
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引用次数: 0
Research on multi-objective workflow rapid scheduling based on improved heuristic algorithm 基于改进启发式算法的多目标工作流快速调度研究
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10051408
Jing Wang, Xinfa Lv, F. Liu
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引用次数: 0
An empirical study of Lean and Green Practices in Indian Manufacturing Companies: Drivers & Barriers 印度制造企业精益与绿色实践的实证研究:驱动因素与障碍
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10052635
Shallini S. Taneja, Geeta Sachdeva
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引用次数: 0
An empirical study of lean and green practices in Indian manufacturing companies: drivers and barriers 印度制造企业精益与绿色实践的实证研究:驱动因素与障碍
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.132772
Geeta Sachdeva, Shallini S. Taneja
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引用次数: 0
A Compensation method of end pose error of industrial welding robot based on Internet of things 基于物联网的工业焊接机器人末端位姿误差补偿方法
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10050954
Juchen Li, Cuirong Zhao, S. Saruchi, M. I. Solihin, Chiong Meng Choung
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引用次数: 0
Information data perception allocation method for industrial Internet of things based on dissimilarity algorithm 基于不相似度算法的工业物联网信息数据感知分配方法
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10051299
Yan Yang, Yinlei Tian
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引用次数: 0
Processing station tracking control method of assembly robot based on narrow band Internet of Things 基于窄带物联网的装配机器人加工站跟踪控制方法
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10051520
L. Pan
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引用次数: 0
A state-of-the-art literature review on Lean Six Sigma from manufacturing sustainability and Industry 4.0 viewpoints 从制造业可持续性和工业4.0的角度对精益六西格玛进行最新的文献综述
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.132774
Sandeep Kumar, Rakesh Kumar Phanden, S. Bharath Kumar, Ravinder Kumar
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引用次数: 0
Analysis of green manufacturing attributes through partial least square structural equation modelling 利用偏最小二乘结构方程模型分析绿色制造属性
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.1504/ijims.2023.10049132
D. Deepak, C. Singh, Jasvinder Singh
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引用次数: 0
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International Journal of Internet Manufacturing and Services
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