Abstract
Thermal deformation of a ball screw is a quasi-static process and incurs positioning error. To obtain a rapid prediction model to compensate for this deformation error, a reduced-order finite element (FE) model is required. For updating the boundary conditions (BCs) of such a reduced-order model (ROM), a hybrid BC update process composed of the response surface method (RSM) and 3-point temperature measurement is devised in this paper. We develop an adaptive reduced-order model (AROM) for real-time prediction and compensation of the error in a time-varying environment under any operating conditions. This system solves not only the heat generation rate (HGR) and nut movement effects on the lubricant temperature variation, but also the convective heat transfer coefficient (CHTC) and thermal resistance (TR) effects at joint interfaces. High prediction accuracy has been verified via a test-bed with a precision linear scale. An AROM server application is also proposed for a thermal error free smart factory.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
