Multivariate time series data of milling processes with varying tool wear and machine tools.

ABSTRACT: Machining is an essential part of modern manufacturing. During machining, the wear of cutting tools increases, eventually impairing product quality and process stability. Determining when to change a tool to avoid these consequences, while still utilizing most of a tool's lifetime is challenging, as the tool lifetime can vary by more than 100% despite constant process parameters [1]. To account for these variations, all tools are usually changed after a predefined period of time. However, this strategy wastes a significant proportion of the remaining lifetime of most tools. By monitoring the wear of tools, all tools can potentially be used until their individual end of life. Research, development, and assessment of such monitoring methods require large amounts of data. Nevertheless, only v

SUBMITTER: Denkena B 

PROVIDER: S-EPMC10558710 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature