A Calculation Method of Deposition Based on Armature Melting

This article proposes a method for calculating the distribution of the deposition layer on the rail surface based on the simulation of armature melting. A series of 49 launch experiments were conducted to study the distribution of the deposition. The thickness of the deposition, as obtained from both simulations and experimental measurements, shows strong agreement, confirming the accuracy and reliability of the proposed calculation method. Both the simulation and experimental findings reveal that the deposition is thicker during the initial stages of the launch and gradually becomes thinner as the armature reaches the high-speed stage. The trend aligns with conventional theoretical expectations. Further comparative analysis between the deposition thickness and the current waveform identifies a significant time lag: the maximum deposition layer thickness occurs after the peak of the current waveform. During the high-speed stage, despite the relatively high current amplitude, the deposition thickness decreases rapidly and ultimately disappears. This behavior is attributed to the cessation of armature melting, which halts the further deposition of material onto the rail surface.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Plasma Science
Published
2025-06-24
DOI
https://doi.org/10.1109/tps.2025.3578556
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Calculation Method of Deposition Based on Armature Melting

Ying Zhao, Lixue Chen, Weidong Xu, Ping Yan et al.
IEEE Transactions on Plasma Science
Additive Manufacturing and 3D Printing Technologies
article

A Calculation Method of Deposition Based on Armature Melting

Ying Zhao, Lixue Chen, Weidong Xu, Ping Yan, Zengji Wang, Weiqun Yuan
article en

Abstract

This article proposes a method for calculating the distribution of the deposition layer on the rail surface based on the simulation of armature melting. A series of 49 launch experiments were conducted to study the distribution of the deposition. The thickness of the deposition, as obtained from both simulations and experimental measurements, shows strong agreement, confirming the accuracy and reliability of the proposed calculation method. Both the simulation and experimental findings reveal that the deposition is thicker during the initial stages of the launch and gradually becomes thinner as the armature reaches the high-speed stage. The trend aligns with conventional theoretical expectations. Further comparative analysis between the deposition thickness and the current waveform identifies a significant time lag: the maximum deposition layer thickness occurs after the peak of the current waveform. During the high-speed stage, despite the relatively high current amplitude, the deposition thickness decreases rapidly and ultimately disappears. This behavior is attributed to the cessation of armature melting, which halts the further deposition of material onto the rail surface.

IEEE Transactions on Plasma ScienceVol. 53(10)
Chinese Academy of Sciences (CN), Institute of Electrical Engineering (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 86%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Calculation Method of Deposition Based on Armature Melting — Ying Zhao, Lixue Chen, et al. · IEEE Transactions on Plasma Science (2025) | TGRS Research Map | TGRS