LDED-FusionNet Dataset: Multisensor Audio-Visual Data for Laser-Directed Energy Deposition

LDED-FusionNet Dataset: Multisensor Audio-Visual Data for Laser-Directed Energy Deposition

The LDED-FusionNet Dataset is a comprehensive multisensor dataset designed for audio-visual fusion in Laser-Directed Energy Deposition (LDED) processes. This dataset supports research in defect detection, quality monitoring, and multimodal machine learning models for metal additive manufacturing.

This dataset corresponds to the LDED-FusionNet GitHub repository:🔗 GitHub Repository

It has been used in multiple peer-reviewed publications focusing on feature-level fusion of acoustic and visual data, including:

Multisensor Fusion-Based Digital Twin for Localized Quality Prediction in Robotic LDED (RCIM 2023).

In-situ Defect Detection in LDED with Machine Learning and Multi-Sensor Fusion (JMST 2024).

Inference of Melt Pool Visual Characteristics in LAM Using Acoustic Signal Features and Robotic Motion Data (ICCAR 2024).

Key Features

Synchronized Audio-Visual Data: High-fidelity coaxial melt pool images and multi-domain acoustic signals recorded during LDED processing.

Cross-Modality Feature Fusion: Enables research on acoustic-vision feature relationships for process quality monitoring.

Defect Detection Labels: Ground truth annotations for melt pool stability, defect types, and process variations.

Robotic Motion Data: Captures spatial dependency of process dynamics, providing tool-center-point (TCP) motion logs.

Benchmark for Machine Learning: Supports feature extraction, deep learning models, and anomaly detection.

Usage

This dataset is useful for:

Developing AI models for real-time defect detection in LDED

Exploring acoustic-visual correlations for quality prediction

Improving multisensor fusion techniques in metal additive manufacturing

Benchmarking ML algorithms for process monitoring and control

Citation

If you use this dataset in your research, please cite:

@dataset{chen2024lded_fusionnet,
author = {Chen, Lequn},
title = {LDED-FusionNet Dataset: Multisensor Audio-Visual Data for Laser-Directed Energy Deposition},
year = {2024},
publisher = {Zenodo},
url = {https://zenodo.org/record/[Dataset-ID]}
}