A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals

Y Sha, J Faber, S Gou, B Liu, W Li, S Schramm… - … Applications of Artificial …, 2022 - Elsevier
With the rapid development of smart manufacturing, data-driven machinery health
management has received a growing attention. As one of the most popular methods in …

An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering

Y Sha, J Faber, S Gou, B Liu, W Li, S Schramm… - Measurement, 2022 - Elsevier
Valves are widely used in industrial and domestic pipeline systems. However, during their
operation, they may suffer from the occurrence of the cavitation, which can cause loud noise …

Investigation of the effects of thermal gradients present in Gleeble high-temperature tensile tests on the strain state for free cutting steel

E Kardoulaki, J Lin, D Balint… - The Journal of Strain …, 2014 - journals.sagepub.com
A common feature of uniaxial high-temperature tension tests, and to a certain extent
compression tests, performed using a Gleeble thermomechanical testing system that …

Experimental investigation and modeling of ductile fracture behavior of TRIP780 steel in hot working conditions

CY Sun, N Guo, MW Fu, C Liu - International Journal of Mechanical …, 2016 - Elsevier
In this research, the fracture and hardening behaviors of TRIP780 steel in hot working
conditions are explored and studied via the uniaxial tensile test and using a newly proposed …

Pre-deformation effect on the hot deformation behavior and microstructure of AA6011 tube: experimentation and modelling

Z Bao, S Qu, J Liang, S Yang, K Zheng, K Fu… - The International Journal …, 2023 - Springer
Hot gas forming (HGF) is an advanced technique for fabricating complex-shaped hollow
tubular parts. Practically, multi-step pre-forming involving pre-deformation is often necessary …

Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems

S Gou, Y Sha, B Liu, N Liu, J Fabe, S Schramm… - Expert Systems with …, 2024 - Elsevier
Deep learning (DL) has emerged as the most effective approach for cavitation intensity
recognition. However, current DL-based models face limitations due to the inherent …

A novel unified visco-plastic damage constitutive model considering stress state of TC16 titanium alloy during cold deformation

Y Huo, W Yang, T He, J Bai, J Gao, C Huo - Journal of Materials …, 2023 - Springer
To study the stress state of TC16 under different cold forming, to avoid the fracture of TC16
titanium alloy during cold forging. Cold compression, cold tension and cold torsion …

Investigation into damage nucleation and growth for a free-cutting steel under hot-rolling conditions

AD Foster, J Lin, DCJ Farrugia… - The Journal of Strain …, 2007 - journals.sagepub.com
The spatial variations in the inclusion size and distribution are examined for a free-cutting
steel bloom. Chemical analysis has been carried out on the inclusions using energy …

Neural network analysis of the influence of chemical composition on surface cracking during hot rolling of AISI D2 tool steel

M Terčelj, R Turk, G Kugler, I Peruš - Computational materials science, 2008 - Elsevier
The reasons for the formation of surface cracks during the hot rolling of tool steels are not
well understood. However, we know that apart from the parameters of the thermo …

Mechanism-based constitutive equations for superplastic forming of TA15 with equiaxed fine grain structure

L Zhao, T Yasmeen, P Gao, S Wei, Z Bai, J Jiang… - Procedia …, 2017 - Elsevier
In this study, a set of mechanism-based viscoplastic constitutive equations has been
established to predict the viscoplastic flow of TA15 alloy sheets in superplastic forming (SPF) …