A New Method for Identifying Geometric Errors Inherent to Revolving Axle of Multi-Axis Machine Tool

Autor: Shu Wen Ma, Guo Fu Ding, Lei Jiang, Shaowei Zhu
Rok vydání: 2011
Předmět:
Zdroj: Materials Science Forum. :262-267
ISSN: 1662-9752
DOI: 10.4028/www.scientific.net/msf.697-698.262
Popis: Geometric errors identification of revolving axle of multi-axis machine tool has encountered a great difficulty in geometric errors compensation. This paper describes a new method to identify geometric errors inherent to revolving axle of multi-axis machine tool based on a ball-bar system. Under RTCP (Rotation Around Tool Center Point) or RPCP (Rotation Around Part Center Point) function, the displacement errors of revolving axle in X, Y and Z direction can be obtained by the ball-bar system respectively at every measurement angle. With the corresponding identification algorithm proposed in this paper, the whole six geometric errors of revolving axle can be identified. This new method is suitable for any type of multi-axis machine tool and without structural constraints. To confirm the validity of the proposed method, an experiment has been conducted on a five-axis machine tool, and the results show that this method is effective and applicable.
Databáze: OpenAIRE