Abstract
This study focuses on a type of intelligent machine tool – Thermal Error Compensation Technology. Lathes are used to rotate a cylindrical workpiece against fixed tools. The high speed of rotation and frequent changes to the cutting load can result in heat deformation which will reduce the accuracy of the relative position between the tool and the workpiece, thus reducing machining precision. This study measures lathe temperature and thermal errors of a workpiece spindle. Experimental results are subjected to multiple regression analysis to assess the relationship between the heat source and deformation to produce a three axis thermal error model. Additional items from polynomial, interaction and cyclical series are included in the model. Finally, we choose the best thermal error model based on predictive ability. The resulting model has a standard deviation of the forecast error within 5 μm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Automation and Smart Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
