[HTML][HTML] Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives

X Fu, S Li, H Song, Y Lu - Robotics and Computer-Integrated Manufacturing, 2025 - Elsevier
The evolution of manufacturing towards intelligent and digital processes requires innovation
in machining quality control. While current research primarily addresses single-scale quality …

Manufacturing quality assessment in the industry 4.0 era: a review

NG Markatos, A Mousavi - Total Quality Management & Business …, 2023 - Taylor & Francis
Maintaining high-quality standards has consistently been the main goal of industries. With
rising demand and customisation, industries must strike a balance between cost …

A Digital Twin system of reconfigurable tooling for monitoring and evaluating in aerospace assembly

J Jin, J Hu, C Li, Z Shi, P Lei, W Tian - Journal of Manufacturing Systems, 2023 - Elsevier
Assembly tooling is essential equipment in aircraft production. Reconfigurable tooling can
adapt to multiple aircraft products by reorganizing modular components. Its service state …

Prognostics and health management via long short-term digital twins

Y Sun, Y Lu, J Bao, F Tao - Journal of Manufacturing Systems, 2023 - Elsevier
Current digital twin-based Prognostics and Health Management (PHM) research mainly
focuses on prediction with a few parameters or a single event. However, when the …

A digital twin defined autonomous milling process towards the online optimal control of milling deformation for thin-walled parts

C Zhang, G Zhou, Q Xu, Z Wei, C Han… - The International Journal of …, 2023 - Springer
Thin-walled parts are widely used in the aerospace industry, where the milling deformation
of the parts caused by their thin-walled draping and extremely large size ratio characteristics …

Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining

U Awasthi, Z Wang, N Mannan, KR Pattipati… - Journal of Manufacturing …, 2022 - Elsevier
Precision machining of metals is an energy intensive process with applications and impacts
across the manufacturing industry. The energy efficiency, product yield, and maintenance of …

Digital Twin Modeling Enabled Machine Tool Intelligence: A Review

L Zhang, J Liu, C Zhuang - Chinese Journal of Mechanical Engineering, 2024 - Springer
Abstract Machine tools, often referred to as the “mother machines” of the manufacturing
industry, are crucial in developing smart manufacturing and are increasingly becoming more …

[HTML][HTML] Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations

DEP Klenam, TK Asumadu, M Vandadi, N Rahbar… - Results in …, 2023 - Elsevier
Data science and material informatics are gaining traction in alloy design. This is due to
increasing infrastructure, computational capabilities and established open-source …

A data-driven digital twin framework for key performance indicators in CNC machining processes

VS Vishnu, KG Varghese… - International Journal of …, 2023 - Taylor & Francis
This paper presents a data-driven digital twin (DT) framework that predicts key performance
indicators (KPIs) in a CNC machining environment. The decision-makers can use these …

[HTML][HTML] Service oriented digital twin for additive manufacturing process

Z Chen, K Surendraarcharyagie, K Granland… - Journal of Manufacturing …, 2024 - Elsevier
Abstract Currently, Industry 4.0 is rapidly developing, empowered by IoT, cloud computing
and AI. As two crucial components of Industry 4.0, digital twins and additive manufacturing …