Investigating the layer-wise arc and melt-pool characteristics of near-substrate wire arc-directed energy deposited NiCrMo-3 alloy using image processing

This article uses an in situ image processing technique to investigate the intricate relationship between various process parameters and the number of layers deposited in the context of arc and melt-pool characteristics. Through a systematic analysis, the study uncovers the significance of travel speed (TS), mean current ( I m ), and layer numbers (LN) in shaping these characteristics. The results reveal that while higher TS corresponds to increased arc length ( L A ) at lower I m , this correlation diminishes with rising LN. Conversely, lower TS leads to an opposite trend, where L A rises with LN at lower I m . The arc deflection angle ( A D ) consistently increases with LN, influenced by both I m and TS. Notably, higher molten pool penetration ( D M ) is achieved with higher TS and lower I m , and D M gradually decreases as LN increases. The interplay between L A , heat input ( H I ), and L M displays a nuanced pattern, with H I influencing L A and L M differently. The study introduces ratios such as L A / D M and L A / L M , indicating their dependency on TS, I m , and LN. A significant insight arises from successfully implementing quadratic polynomial models, demonstrating strong predictive capabilities for various characteristics. These models exhibit exceptional accuracy when validated against empirical measurements, showcasing their effectiveness in forecasting arc and melt-pool behaviors, thereby emphasizing the intricate nature of the deposition process.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Published
2024-12-04
DOI
https://doi.org/10.1177/09544089241301949
Citations
1
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the layer-wise arc and melt-pool characteristics of near-substrate wire arc-directed energy deposited NiCrMo-3 alloy using image processing

Manidipto Mukherjee, Samik Dutta, Yoshit Tiwari, Abhinandan Banerjee et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Welding Techniques and Residual Stresses
0.21
article

Investigating the layer-wise arc and melt-pool characteristics of near-substrate wire arc-directed energy deposited NiCrMo-3 alloy using image processing

Manidipto Mukherjee, Samik Dutta, Yoshit Tiwari, Abhinandan Banerjee, Santanu Kumar Das
article en
1 citations

Abstract

This article uses an in situ image processing technique to investigate the intricate relationship between various process parameters and the number of layers deposited in the context of arc and melt-pool characteristics. Through a systematic analysis, the study uncovers the significance of travel speed (TS), mean current ( I m ), and layer numbers (LN) in shaping these characteristics. The results reveal that while higher TS corresponds to increased arc length ( L A ) at lower I m , this correlation diminishes with rising LN. Conversely, lower TS leads to an opposite trend, where L A rises with LN at lower I m . The arc deflection angle ( A D ) consistently increases with LN, influenced by both I m and TS. Notably, higher molten pool penetration ( D M ) is achieved with higher TS and lower I m , and D M gradually decreases as LN increases. The interplay between L A , heat input ( H I ), and L M displays a nuanced pattern, with H I influencing L A and L M differently. The study introduces ratios such as L A / D M and L A / L M , indicating their dependency on TS, I m , and LN. A significant insight arises from successfully implementing quadratic polynomial models, demonstrating strong predictive capabilities for various characteristics. These models exhibit exceptional accuracy when validated against empirical measurements, showcasing their effectiveness in forecasting arc and melt-pool behaviors, thereby emphasizing the intricate nature of the deposition process.

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering
Indian Institute of Technology Kharagpur (IN), Central Mechanical Engineering Research Institute (IN), University of Kalyani (IN)
Affordable and clean energy
Openalex Percentile: Top 49%
Welding Techniques and Residual Stresses
0.21
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.