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Numerical simulation and experimental investigation on three-dimensional modelling of single-track geometry and temperature evolution by laser cladding

Optics and Laser Technology, 2020
Investigation of the temperature distribution law in molten pool during the laser cladding process and the varying principle of the forming parts’ cross section sizes to obtain optimum process parameters is essential to improve the precision of deposited
Jiali Gao   +4 more
semanticscholar   +1 more source

In Situ Monitoring and Innovative Feature Fusion Neural Network for Enhanced Laser-Directed Energy Deposition Track Geometry Prediction and Control

IEEE Transactions on Instrumentation and Measurement
The printed quality of laser-directed energy deposition (L-DED) technology is significantly influenced by the characteristics of the molten pool. Therefore, it is crucial to perform in situ monitoring of the molten pool and accurately predict track ...
Miao Yu   +3 more
semanticscholar   +1 more source

A Comprehensive Detection System for Track Geometry Using Fused Vision and Inertia

IEEE Transactions on Instrumentation and Measurement, 2020
The track line suffers from track irregularity, subgrade settlement, rail surface defects, and gauge distortion. Measuring the track geometry quality plays an important role in rail administrations to safe operation and track maintenance.
Lele Peng   +4 more
semanticscholar   +1 more source

Multi-physics modeling and Gaussian process regression analysis of cladding track geometry for direct energy deposition

, 2020
Direct energy deposition (DED) is an effective method to fabricate complex metal thin-wall structures. The geometrical dimensions of the cladding track have significant influence on the dimensional precision of final components.
Shuhao Wang   +4 more
semanticscholar   +1 more source

Effect of process parameters on the cladding track geometry fabricated by laser cladding

, 2020
To investigate the effect of laser power, scan speed, and powder feeding rate on the geometry of YCF104 clad track, the single factor experiment with 125 groups were designed to study the influence of process parameters on the cross-sectional area, width
Yu Zhao   +4 more
semanticscholar   +1 more source

Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects

Transportation Research Part C: Emerging Technologies, 2019
Predicting rail defects is of great importance for safe railway transportation. Using foot-by-foot track geometry and tonnage data, this paper develops a new machine learning based approach to identify the track geometry parameters that contribute most ...
R. Mohammadi   +4 more
semanticscholar   +1 more source

Optimal track geometry maintenance limits using machine learning: A case study

Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 2020
The aim of this study has been to determine the optimal maintenance limits for one of the main railway lines in Iran in such a way that the total maintenance costs are minimized.
Ahmad Kasraei, J. Zakeri, A. Bakhtiary
semanticscholar   +1 more source

Modelling railway track geometry deterioration

Proceedings of the Institution of Civil Engineers - Transport, 2011
Understanding track geometry deterioration decisively influences the planning and optimisation of track maintenance and renewal works and consequently the substantial related costs (savings) each year of every railway. To understand this deterioration it must be accurately modelled, paving the way towards its forecasting into the future.
Hakan Guler   +2 more
openaire   +2 more sources

Time–frequency characteristic analysis method for track geometry irregularities based on multivariate empirical mode decomposition and Hilbert spectral analysis

Vehicle System Dynamics, 2020
The description and evaluation of track geometry irregularities are commonly performed in the distance domain or the frequency domain, and therefore one cannot simultaneously obtain precise measurements of actual frequencies and the distance locations ...
Youtao Yang, Guoxiang Liu, Xiaowen Wang
semanticscholar   +1 more source

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