Jiafeng Yang

Central South University

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Ming Sun

Northwest University

Youming Yu

Zhejiang A & F University

Shutong Zhang

Ningbo University

Linyang Wang

Xinjiang Medical University

Junwen Gao

Jilin Agricultural University

Douxi Yan

Guangdong University of Technology

Lei He

Microsoft (United States)

Xiaoxun Ma

Northwest University

Yong-Qi Liu

Nanyang Normal University

Shenghui Zhang

China University of Mining and Technology

Cooperative Institutions

Northwest University

Zhejiang A & F University

Guangdong University of Technology

Oil and Gas Center

Zhejiang University of Science and Technology

Shaanxi Yanchang Petroleum (China)

China XD Group (China)

Dalian University of Technology

Shaanxi Coal Chemical Industry Technology Research Institute

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Digital twin-driven variant design of a 3C electronic product assembly line

Scientific Reports (2022)

Douxi Yan Weinan Sha Dewen Wang Jiafeng Yang Shenghui Zhang

Abstract Large-scale personalization is becoming a reality. To ensure market competitiveness and economic benefits, enterprises require rapid response capability and flexible manufacturing operations. However, variant design and production line reconfiguration are complicated because it involves the commissioning, replacement, and adaptive integration of equipment and remodification of control systems. Herein, a digital twin-driven production line variant design is presented. As a new technology, the digital twin can realize the parallel control from the physical world to the digital world and accelerate the design process of the production line through a virtual–real linkage. Simultaneously, the actual production line can be simulated to verify the rationality of the design scheme and avoid cost wastage. Four key technologies are described in detail, and a production line variant design platform based on digital twin is built to support rapid production line variant design. Finally, experiments using a smartphone assembly line as an example are performed; the results demonstrate that the proposed method can realize production line variant design and increase production efficiency.

Production line

Control reconfiguration

Line (geometry)

Linkage (software)

10.1038/s41598-022-07894-x

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Citations (13)

Mechanism of catalytic conversion of kerosene co-refining heavy oil to BTEXN by Py-GC/MS based on “point-line-surface-body” step by step research strategy

Fuel (2022)

Jiafeng Yang Qiuxiang Yao Yong-Qi Liu Linyang Wang Duo Ma

Fluid catalytic cracking

Tetradecane

10.1016/j.fuel.2022.125979

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Citations (12)

Investigation into the Performance Enhancement of Calcium Phosphate Mineralization-Compacted Chinese Fir

Forests (2024)

Jiafeng Yang Shutong Zhang Yun Qian Haili Chen Y. Peng

The utilization of wood as a construction material offers inherent advantages, including its renewability, good process property, wide availability, and carbon sequestration. However, its susceptibility to combustion and limited mechanical properties also constrain its applications. In this work, calcium phosphate was in situ deposited in dignified Chinese fir wood, followed by hot-pressed densification. Thermogravimetric analysis (TG) reveals that mineralization and densification alleviate the thermal decomposition and combustion behavior of wood, which greatly promotes the formation of the dense char layer during wood combustion. Therefore, the maximum heat release rate (HRR), total heat release rate (THR), and total smoke production rate (TSP) of the as-prepared mineralized dense wood were significantly reduced by 37%, 32%, and 56% compared with the control one. Further, the mineralized dense wood showed a remarkable enhancement in flexural strength and flexural modulus of elasticity, 203% and 220% higher than the natural wood, respectively. This study demonstrated a straightforward and eco-friendly approach to fabricating structural wood possessing exceptional flame retardancy and mechanical characterization, which holds immense potential for application in energy-efficient green buildings.

Thermogravimetric analysis

Cone calorimeter

Wood flour

10.3390/f15030452

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