Wenmeng Tian

TL;DR: In this article, a statistical process control (SPC) approach is proposed to detect process changes as soon as it occurs based on predefined distribution of the monitoring statistics, and an online dual control charting system is proposed by leveraging multivariate T 2 and Q control charts to detect changes in extracted low dimensional features and residuals, respectively.

TL;DR: A cost-driven decision-making framework is proposed to formulate costs of the spatial distribution of microstructural defects and the corresponding control actions, based on in-situ melt pool images, to lay a theoretical foundation for an efficient in-process control strategy, which aims to improve the mechanical properties of fabricated part while maintaining high process throughput.

TL;DR: A VR training module is developed to deliver safety training in a cost-effective yet repeatable manner, aiming to reduce common plant injuries and indicates that VR training is more engaged and provides a better understanding of safety protocols and real-life experience of the precast/prestressed concrete plant.

TL;DR: In this article, the authors present a measurement system that quantifies linear broach tool wear based on the overall wear area using automated image cropping and digital imaging processing tools without requiring any manual intervention.

TL;DR: In this paper, the authors proposed a new layer-wise process signature model to characterize the thermal-defect relationship based on melt pool images, which can be used to predict the overall defect distribution of a fabricated layer during the build.