Big data analytics for smart factories of the future

RX Gao, L Wang, M Helu, R Teti - CIRP annals, 2020 - Elsevier
Continued advancement of sensors has led to an ever-increasing amount of data of various
physical nature to be acquired from production lines. As rich information relevant to the …

[HTML][HTML] Closed-loop control of product properties in metal forming

JM Allwood, SR Duncan, J Cao, P Groche, G Hirt… - CIRP Annals, 2016 - Elsevier
Metal forming processes operate in conditions of uncertainty due to parameter variation and
imperfect understanding. This uncertainty leads to a degradation of product properties from …

Manufacturing of advanced smart tooling for metal forming

J Cao, E Brinksmeier, M Fu, RX Gao, B Liang… - CIRP Annals, 2019 - Elsevier
Forming is widely used due to its high efficiency in material utilization and its high production
rate in general. Most forming processes control the geometry of final products through a set …

Responsive fixture design using dynamic product inspection and monitoring technologies for the precision machining of large-scale aerospace parts

Y Li, C Liu, X Hao, JX Gao, PG Maropoulos - CIRP Annals, 2015 - Elsevier
When machining a large-scale aerospace part, the part is normally located and clamped
firmly until a set of features are machined. When the part is released, its size and shape may …

Biomanufacturing

M Mitsuishi, J Cao, P Bártolo, D Friedrich, AJ Shih… - CIRP annals, 2013 - Elsevier
Biomedical markets are large and rapidly growing owing to increasing demand for better
healthcare services. The development of innovative biomedical systems can produce major …

An integrated feature-based dynamic control system for on-line machining, inspection and monitoring

Y Li, C Liu, JX Gao, W Shen - Integrated Computer-Aided …, 2015 - content.iospress.com
Manufacturing companies dealing with high value, high accuracy and complex parts are
facing increasing demand for higher quality and efficiency at lower costs and reduced lead …

In-process, real-time monitoring of forming forces in rotary draw bending process

X He, T Welo, J Ma - The International Journal of Advanced Manufacturing …, 2024 - Springer
Monitoring forming forces in metal forming processes is essential for analyzing process
behaviors, mechanisms, and defect detection. This is particularly relevant in aluminum tube …

Characterization of electrically-assisted micro-rolling for surface texturing using embedded sensor

MK Ng, Z Fan, RX Gao, EF Smith III, J Cao - CIRP Annals, 2014 - Elsevier
Electrically-assisted micro-rolling (EAμR) takes advantage of localized heating by loading
current through the deformation zone to enhance the texturing capability of Ti-6Al-4V and …

An embedded capacitive sensor for in-situ angular detection of micromotor

T Yang, X Li, X Sun, Y Wang, Y Chen, D Gong… - Microelectronics …, 2021 - Elsevier
An embedded capacitive sensor in traveling wave ultrasonic motor is proposed for angular
detection. Equivalent circuit model of the system is well studied that correlation between …

Prediction method of the deep drawing quality using Siamese deep neural network algorithm trained with time-dependent load curves

I Jang, G Bae, D Kim, G Kim, S Lee - The International Journal of …, 2024 - Springer
This study proposes an AI-based framework to predict the quality of results from the deep
drawing process without requiring considerable amounts of actual data. A few-shot learning …