Acoustic Monitoring Dataset for Robotic Laser Directed Energy Deposition (LDED) of Maraging Steel C300

This dataset presents a set of acoustic signals captured during a single-bead wall experiment in robotic Laser Directed Energy Deposition (LDED) using Maraging Steel C300. The acoustic data was recorded using a high-fidelity Prepolarized microphone sensor (Xiris WeldMIC), capturing the intricate sound profiles associated with the LDED process at a sampling rate of 44,100 Hz. Laser Directed Energy Deposition: This dataset was generated with a robotic LDED process that consists of a six-axis industrial robot (KUKA KR90) coupled with a two-axis positioner, a laser head, and a coaxial powder-feeding nozzle. Folder Structure: /sample-1: The main folder for the experiment sample. /audio_files: Contains 4624 .wav audio files, each representing a 40 ms chunk of the LDED process sound. /annotations_1.csv: A CSV file providing annotations for the audio files, labeling each as "Defect-free", "Defective", or "Laser-off". audio_features.h5: extracted acoustic features in time-domain, frequency-domain, and time-frequency representations (MFCC features). Feature extraction was conducted using Python Essentia Library. File Naming Convention: Audio files within the audio_files folder are named following the pattern sample_ExperimentID_SampleID.wav. Given that there's only one experiment and one sample, the naming will be consistent, for example, sample_1_1.wav for the first file. Annotation Details: The annotations_1.csv file contains detailed labels for each audio file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis. Experimental Parameters: The dataset reflects a controlled experiment setup with the following specifications: Geometry: Single bead wall structure Dimensions: 90 mm * 42.5 mm Number of layers: 50 Laser beam diameter: 2 mm Layer thickness: 0.85 mm Stand-off distance: 12 mm Laser profile: Gaussian Laser wavelength: 1064 nm Process Parameters: Laser power: 2.3 kW Speed: 25 mm/s Dwell time: 0 s Powder flow rate: 12 g/min This dataset aims to facilitate the development and testing of acoustic-based defect detection models for real-time quality monitoring in LDED processes. It can also serve as a reference point for further research on sensor fusion, machine learning, and real-time monitoring of manufacturing processes.本数据集收录了采用马氏体时效钢C300（Maraging Steel C300）开展机器人激光定向能量沉积（Laser Directed Energy Deposition，LDED）单道墙实验过程中采集的一系列声学信号。声学数据通过高保真预极化麦克风传感器（Xiris WeldMIC）录制，采样率为44100 Hz，完整捕捉了LDED工艺对应的复杂声学特征。激光定向能量沉积系统：本数据集基于机器人LDED工艺生成，该系统由六轴工业机器人（KUKA KR90）搭配两轴变位机、激光头及同轴送粉喷嘴组成。文件夹结构： /sample-1：实验样本主文件夹。 /audio_files：包含4624个.wav格式音频文件，每个文件对应一段时长40 ms的LDED工艺声学片段。 /annotations_1.csv：为音频文件提供标注的CSV文件，将每个文件标注为“无缺陷（Defect-free）”、“有缺陷（Defective）”或“激光关闭（Laser-off）”三类。 /audio_features.h5：存储提取得到的时域、频域及时频域声学特征（含梅尔频率倒谱系数（MFCC）特征），特征提取工作基于Python Essentia库完成。 文件命名规则：audio_files文件夹内的音频文件遵循`sample_ExperimentID_SampleID.wav`命名格式。由于本次实验仅包含一组实验与一个样本，命名将保持统一，例如首个文件命名为sample_1_1.wav。 标注详情：annotations_1.csv文件为每个音频文件提供详细标签，与实验过程中观测到的工艺工况一一对应，可辅助快速开展识别与分析工作。 实验参数：本数据集对应一套受控实验装置，具体规格如下： 几何结构：单道墙结构 尺寸：90 mm × 42.5 mm 层数：50层 激光束直径：2 mm 层厚：0.85 mm 喷距（Standoff distance）：12 mm 激光轮廓：高斯型 激光波长：1064 nm 工艺参数： 激光功率：2.3 kW 扫描速度：25 mm/s 停留时间：0 s 送粉速率：12 g/min 本数据集旨在助力面向LDED工艺实时质量监测的声学缺陷检测模型开发与测试，同时也可作为制造过程传感器融合、机器学习及实时监测领域后续研究的参考基准。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于机器人激光定向能量沉积（LDED）过程的声学监测数据集，专注于马氏体时效钢C300的单道墙实验。它包含4624个.wav音频文件（每个40毫秒片段）和相应的注释，用于标注缺陷状态，旨在支持基于声学的缺陷检测模型开发和实时质量监控研究。数据集还提供了详细的实验参数和提取的声学特征，适用于传感器融合和机器学习应用。