Research on Precision Machining of CNC Machine Tools Based on Industrial Big Data Algorithms
Quality and efficiency are eternal themes of intelligent manufacturing, and the key equipment that affects quality and efficiency in metal cutting intelligent manufacturing production lines is CNC machine tools. CNC machine tools belong to precision manufacturing equipment. Although their technical indicators can reach a high level when leaving the factory, their machining accuracy is affected by factors such as fixtures, cutting tools, environmental temperature, vibration, component aging, and workpiece material consistency when applied to actual production lines. Therefore, this article introduces industrial big data algorithms to fully explore and showcase the value contained in industrial big data, effectively forming data-driven, fast iterative, and continuously optimized industrial intelligent systems, thereby effectively solving the problem of machining accuracy stability in intelligent manufacturing systems. The experimental results showed that all 30 workpieces were qualified after processing.
Authors
- L. Z. Zhu (ORCID: https://orcid.org/0000-0003-0609-6456)
- Jing Liu (ORCID: https://orcid.org/0000-0001-5612-9549)
- Jun Guo (ORCID: https://orcid.org/0000-0003-1438-8782)
- Yang Liu (ORCID: https://orcid.org/0000-0002-1015-6346)
Publication Details
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1109/itme63426.2024.00029
- Primary Topic
- Engineering Technology and Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00