Estimation of Dynamic Contact Parameters for Machine Tool Spindle-Holder-Tool Assemblies Using Artificial Neural Networks

Date

2008-10

Author

Özşahin, Orkun
Özgüven, Hasan Nevzat
Budak, Erhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

29
views

0
downloads

Cite This

Dynamics of machine tools is very important especially for cutting stability which strongly affects surface quality and productivity. Although experimental methods are commonly used to determine frequency response functions (FRF) at the cutting tool point, recently analytical methods based on receptance coupling and structural modification techniques have also been used to predict FRFs. Prediction of FRFs without extensive testing can save substantial time; however one of the challenges in this approach is the determination of contact parameters between the components of an assembly as there are no analytical methods available for modeling of these parameters, and the l identification of them for each case is time consuming. In this study, identification and modeling of contact parameters between holder and tool for different geometries are considered. The contact parameters depend on the clamped tool length, tool diameter, material, etc. First of all, the contact parameters for limited combinations of tool diameter and clamped tool lengths are identified experimentally using a procedure developed in an earlier study. The results are used to train a neural network which can be used to estimate the parameters for different cases. It is demonstrated that this approach can be used in the dynamic analysis of the machine tools for cutting stability predictions.

Subject Keywords

Machine tool dynamics, Tool point FRF, Contact parameters

URI

https://hdl.handle.net/11511/105122

Collections

Department of Mechanical Engineering, Conference / Seminar