[HTML][HTML] Functionally graded porous structures: analyses, performances, and applications–a review

D Chen, K Gao, J Yang, L Zhang - Thin-Walled Structures, 2023 - Elsevier
Structural innovation incorporating bio-inspired composites poses a fresh angle to develop
novel lightweight forms with strengthened mechanical properties, among which a must …

[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning

C Chen, H Fu, Y Zheng, F Tao, Y Liu - Journal of Manufacturing Systems, 2023 - Elsevier
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

[HTML][HTML] Edge-cloud cooperation-driven smart and sustainable production for energy-intensive manufacturing industries

S Ma, Y Huang, Y Liu, X Kong, L Yin, G Chen - Applied Energy, 2023 - Elsevier
Energy-intensive manufacturing industries are characterised by high pollution and heavy
energy consumption, severely challenging the ecological environment. Fortunately …

Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin

G Yuan, X Liu, C Zhu, C Wang, M Zhu, Y Sun - Robotics and Computer …, 2024 - Elsevier
With the development of the personalized and diversified service production paradigm,
production lines need to be updated in a timely manner to meet market demand. In this …

Leveraging cognitive digital twins in industry 5.0 for achieving sustainable development goal 9: An exploration of inclusive and sustainable industrialization strategies

R Sharma, H Gupta - Journal of Cleaner Production, 2024 - Elsevier
In the emerging landscape of Industry 5.0, the integration of innovative technologies such as
Cognitive Digital Twins (CDTs) is pivotal for steering industrial processes towards …

A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases

Z Cui, X Yang, J Yue, X Liu, W Tao, Q Xia… - Journal of Manufacturing …, 2023 - Elsevier
The digitalization of electromechanical products creates numerous virtual resources
throughout the lifecycle, which require efficient organization and utilization. Digital twin (DT) …

Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports

X Li, F Zhang, Q Li, B Zhou, J Bao - Advanced Engineering Informatics, 2023 - Elsevier
Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …

Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends

A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …

Perspectives on MXene-PZT based ferroelectric memristor in computation in memory applications

M Zhang, Y Wei, C Liu, Z Ding, X Liang, S Ming… - Applied Physics …, 2023 - pubs.aip.org
Lead zirconate titanate (PZT) is the promising candidate in advanced ferroelectric memory
application due to its excellent piezoelectricity, ferroelectricity, pyroelectricity, non-linear …

[PDF][PDF] 数字制造的科学体系与技术架构

周祖德, 姚碧涛 - 机械工程学报, 2023 - qikan.cmes.org
数字制造作为第三次工业革命的一个重要内容, 已成为推动21 世纪制造业向前发展的强大动力,
数字制造的相关理论与技术已逐步融入到制造产品的全生命周期, 成为制造产品全生命周期中 …