We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Compilation method of CNC lathe cutting force spectrum based on kernel density estimation of G-SCE.
- Authors
Wang, Shengxu; He, Jialong; Li, Guofa; Hao, Qingbo; Huang, Hao
- Abstract
The cutting force spectrum of the CNC lathe is the basic data for the reliability design, reliability test, and reliability evaluation of the CNC lathe and its components. Due to the complex and changeable turning conditions and different cutting processes, the cutting load presents multi-peak characteristics. At the same time, grouping the counted load cycles when parameter modeling will produce certain errors. As a result, the parameter distribution model cannot meet the modeling requirements. Thus, a compilation method based on kernel density estimation (KDE) of goodness-smoothness comprehensive evaluation (G-SCE) is proposed. The KDE is used to establish the dynamic cutting force distribution of the CNC lathe in which grouping the counted load cycles is not needed. For the bandwidth-determining methods, the rule of thumb method (ROT) and the least-squares cross-validation method (LCV) do not take into account the influence of different bandwidths on the goodness estimation and the smoothness of the estimated curve, and the G-CSE for KDE is proposed to determining the optimal bandwidth. It includes the estimation accuracy test method based on multiple goodness-of-fit tests and the smoothness test method based on the envelope curve, and the entropy method is used to comprehensively weights the estimated goodness index and the smoothness index to determine the optimal bandwidth. The results of the case analysis indicate that the method proposed can solve the problem of too large estimation error of parameter distribution for multimodal distribution. At the same time, it can better comprehensively evaluate the KDE under different bandwidths. In short, a new method of optimal bandwidth selection is proposed in the original method.
- Subjects
PROBABILITY density function; CUTTING force; LATHES; GOODNESS-of-fit tests; TEST methods; RELIABILITY in engineering
- Publication
International Journal of Advanced Manufacturing Technology, 2023, Vol 124, Issue 11/12, p3713
- ISSN
0268-3768
- Publication type
Article
- DOI
10.1007/s00170-021-07541-1