Study on Evaluation of Cylindricity Errors with a Hybrid Particle Swarm Optimization-Chaos Optimization Algorithm
In order to improve measurement accuracy of form errors, a hybrid evaluation method is provided in this paper. The hybrid global optimization algorithm based on particle swarm optimization and chaos search method is proposed. The optimum model and the calculation process are introduced,
where the cylindricity error is discussed. The hybrid optimization algorithm can improve the efficiency and accuracy of searching in the whole field by gradually shrinking the area of optimization variable. Finally, a control experiment is carried out, and the calculation results by using
different method such as the least square, PSO, show that the hybrid evaluation method is feasible and satisfactory in the errors evaluation.
Keywords: Chaos; Cylindricity Error; Evaluation; Hybrid Optimization; PSO
Document Type: Research Article
Affiliations: School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai 201418, China
Publication date: 01 January 2016
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
- Editorial Board
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content