Dataset for exploring relation between sound and cutting forces components in longitudinal turning of C45E steel.

Abstract

Monitoring cutting force components (tangential, radial, and axial) in longitudinal turning helps identifying unfavourable cutting conditions. However, force sensor can be a costly investment, in addition to being technically challenging to integrate into the machine tool. The primary purpose of this data repository is to provide a way to evaluate the potential that sound could hold for estimating cutting force components, with the idea to possibly simplify the monitoring system. Data was collected by monitoring sound and cutting force components during longitudinal turning of C45E steel. In total, 100 experiment trials were carried out with different settings of cutting speed, depth of cut and feed rate. The sensory data consists of raw sound recordings and measurements of cutting force components, for each experiment trial. In addition, datasets with extracted sound and force features are provided, along with code used for this purpose. The sound features dataset is particularly extensive, including 260 extracted sound features in time and frequency domain. Both feature extraction process and initial exploratory data analysis are presented, making a base ground for further analysis. The researchers in manufacturing engineering, acoustics and other relevant fields can either use datasets with extracted features for conducting analysis or use only raw data and compile their own methodology for feature extraction and analysis.