Article
Engineering, Industrial
Xinlai Liu, Yishuo Jiang, Zicheng Wang, Ray Y. Zhong, H. H. Cheung, George Q. Huang
Summary: This paper proposes a unified five-layer blockchain-enabled secure digital twin platform architecture for small and middle enterprises (SMEs) in the manufacturing industry to overcome the limitations of traditional manufacturing patterns. The experimental results show that the proposed platform, named imseStudio, effectively digitizes manufacturing resources and promotes the transformation towards service manufacturing.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Manufacturing
Xin Cui, Changhe Li, Yanbin Zhang, Zafar Said, Sujan Debnath, Shubham Sharma, Hafiz Muhammad Ali, Min Yang, Teng Gao, Runze Li
Summary: This research establishes calculation formulas to evaluate the grindability of Ti6Al-4V titanium alloy, and finds that cryogenic nanolubricant minimum quantity lubrication (CNMQL) exhibits the best performance in the grinding process. CNMQL significantly reduces grinding force, peak temperature, and surface roughness, while improving the ability to resist surface defects.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Engineering, Industrial
Yasanur Kayikci, Nachiappan Subramanian, Manoj Dora, Manjot Singh Bhatia
Summary: This paper presents a blockchain-enabled food supply chain framework developed through a systematic literature review and semi-structured case interviews in the context of emerging economies. It investigates the suitability of blockchain technology in resolving major challenges, such as traceability, trust, and accountability in the food industry. The study provides empirical evidence of blockchain technology implementation in the Industry 4.0 era and offers insights for future researchers to address technological and people-related challenges.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Automation & Control Systems
Xiaoming Wang, Changhe Li, Yanbin Zhang, Zafar Said, Sujan Debnath, Shubham Sharma, Min Yang, Teng Gao
Summary: Nanofluid minimum quantity lubrication is a new process for clean manufacturing, but effective lubrication during turning requires changing the microstructure of the tool rake face to provide a channel for lubricant diffusion. The arrangement of textures has a significant impact on cutting performance, with textures perpendicular to the main cutting edge direction achieving lowest cutting force and optimal workpiece surface.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Tsan-Ming Choi, Subodha Kumar, Xiaohang Yue, Hau-Ling Chan
Summary: This study explores the relationship between disruptive technologies in the Industry 4.0 era and operations management. It analyzes their current applications, pros and cons, as well as potential areas of human-machine conflict. Moreover, measures to achieve human-machine reconciliation and sustainable social welfare are proposed, along with a discussion on the role of policy makers. Finally, a future research agenda covering both the Industry 4.0 and Industry 5.0 eras is established.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Review
Automation & Control Systems
Haogang Li, Yanbin Zhang, Changhe Li, Zongming Zhou, Xiaolin Nie, Yun Chen, Huajun Cao, Bo Liu, Naiqing Zhang, Zafar Said, Sujan Debnath, Muhammad Jamil, Hafiz Muhammad Ali, Shubham Sharma
Summary: This article reviews the mechanisms and properties of extreme pressure (EP) and antiwear (AW) additives in boundary lubrication and discusses the advantages and disadvantages of traditional and nanoparticle additives. It also studies the influence of non-polar chain length on traditional additives and the effects of nanoparticle structure parameters, concentration, and media polarity on properties.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Bin Shen, Ciwei Dong, Stefan Minner
Summary: Selling products through retailers with blockchain technology helps combat copycats, increase the profit of brand name companies, enhance consumer awareness, and reduce the profit of imitation products.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Review
Engineering, Manufacturing
Wenhao Xu, Changhe Li, Yanbin Zhang, Hafiz Muhammad Ali, Shubham Sharma, Runze Li, Min Yang, Teng Gao, Mingzheng Liu, Xiaoming Wang, Zafar Said, Xin Liu, Zongming Zhou
Summary: This study provides a comprehensive review and critical assessment of electrostatic atomization MQL, including its critical equipment, lubrication and heat transfer mechanisms, and comparison with pneumatic atomization MQL. Previous experiments have shown that electrostatic atomization MQL improves machining performance. Future development directions are proposed.
INTERNATIONAL JOURNAL OF EXTREME MANUFACTURING
(2022)
Article
Engineering, Manufacturing
Chen Li, Yinchuan Piao, Binbin Meng, Yuxiu Hu, Longqiu Li, Feihu Zhang
Summary: The study explores the deformation and removal mechanisms of gallium nitride (GaN) single crystals during ultra-precision machining. The experimental results show that abrasive size significantly affects the surface morphology and roughness, leading to a transition from brittle fracture-dominated surface to a plastic surface with reduced abrasive size. Through cross-sectional TEM method and MD simulation, it is found that plastic deformation in GaN crystals is caused by the formation of polycrystalline nanocrystals and defects, with an observable delamination phenomenon in the plastic deformation zone.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
(2022)
Article
Engineering, Industrial
Hongru Cao, Haidong Shao, Xiang Zhong, Qianwang Deng, Xingkai Yang, Jianping Xuan
Summary: This paper proposes an unsupervised domain-share convolutional neural network method for efficient fault transfer diagnosis of machines from steady speeds to time-varying speeds. By improving the efficiency and robustness of feature adaptation and simultaneously extracting domain invariant features from the source domain and target domain, the proposed method aims to improve diagnosis accuracy and transferability.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Automation & Control Systems
Yiming Xiao, Haidong Shao, SongYu Han, Zhiqiang Huo, Jiafu Wan
Summary: This article proposes a novel joint transfer network for unsupervised bearing fault diagnosis from the simulation domain to the experimental domain. It uses bearing simulation data to construct the source domain, an improved loss function to achieve alignment across domains, and a weight allocation mechanism to suppress negative transfer.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Review
Engineering, Industrial
Jin Yang, J. P. Oliveira, Yulong Li, Caiwang Tan, Chenkai Gao, Yixuan Zhao, Zhishui Yu
Summary: The use of multi-material structures is an effective solution to reduce weight and emissions in the automotive industry. However, joining aluminum alloys to steels is challenging due to their mismatched properties. Laser-based processes have been explored to overcome this issue and this review examines the recent achievements and progress in this field, evaluating factors such as joining conditions, filler materials, microstructure, and mechanical properties.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Review
Engineering, Industrial
Junliang Wang, Chuqiao Xu, Jie Zhang, Ray Zhong
Summary: This paper provides a comprehensive review of big data analytics (BDA) for intelligent manufacturing systems, covering the concepts, methodologies, and applications. BDA has shown great potential in improving the efficiency and outcomes of product design, manufacturing, and maintenance. However, there are still challenges and opportunities that need further research and exploration.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Engineering, Industrial
Samuel Fosso Wamba, Maciel M. Queiroz
Summary: The emergence of Industry 4.0 has presented numerous challenges and opportunities for organizations worldwide. Blockchain technology, as one of the most disruptive and promising technologies, has the potential to transform various aspects of businesses and operations, particularly in supply chain relationships. This study proposes a multi-stage model to better understand the diffusion of blockchain across supply chains. The findings reveal significant differences in the variables and stages of blockchain adoption across different countries. This research makes substantial contributions to theory and management.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Engineering, Manufacturing
W. C. Ke, J. P. Oliveira, B. Q. Cong, S. S. Ao, Z. W. Qi, B. Peng, Z. Zeng
Summary: UHFP-GTAW-WAAM was used to fabricate thin walls of NiTi shape memory alloys. A three-dimensional numerical model was developed to simulate the deposition process, and an improved free surface tracing method was proposed. The study revealed that the vibration of the molten pool induced by UHFP current power can improve the microstructure of the parts.
ADDITIVE MANUFACTURING
(2022)
Article
Automation & Control Systems
Haidong Shao, Min Xia, Jiafu Wan, Clarence W. de Silva
Summary: In this article, a modified stacked autoencoder (MSAE) that uses adaptive Morlet wavelet is proposed for automatically diagnosing various fault types and severities of rotating machinery. Experimental results show that the proposed method is superior to other state-of-the-art methods.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Manufacturing
Yao Sun, Liya Jin, Yadong Gong, Xuelong Wen, Guoqiang Yin, Quan Wen, Benjia Tang
Summary: In this study, curvilinear grooved micro textures were created on the rear surface of double helical micro end mills with a diameter of about 800μm by EDM method to lower specific milling energy and forces in dry micro milling experiments on aluminum alloy material. The results showed a significant reduction in specific cutting energy and forces when using micro end mills with curvilinear grooved micro textures compared to ordinary micro end mills.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Review
Green & Sustainable Science & Technology
Zhonghe Ren, Fengzhou Fang, Ning Yan, You Wu
Summary: Machine vision plays a significant role in improving the efficiency and quality of defect detection, including optical illumination, image acquisition, image processing, and image analysis technologies. The future development of visual inspection technology will mainly focus on the application of deep learning.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2022)
Article
Engineering, Industrial
Yuqian Lu, Hao Zheng, Saahil Chand, Wanqing Xia, Zengkun Liu, Xun Xu, Lihui Wang, Zhaojun Qin, Jinsong Bao
Summary: This position paper discusses the concept, needs, reference model, enabling technologies, and system frameworks of human-centric manufacturing. It provides a relatable vision and research agenda for future work in human-centric manufacturing systems. Human-centric manufacturing should address human needs and the human-machine relationships will evolve.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Automation & Control Systems
Zechen Zhang, Menghua Sui, Changhe Li, Zongming Zhou, Bo Liu, Yun Chen, Zafar Said, Sujan Debnath, Shubham Sharma
Summary: By simulating the residual stress of cemented carbide during grinding, it was found that using nanofluid minimum quantity lubrication can achieve the lowest friction coefficient, proving the model's reliability under dry grinding conditions.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
