Online force control of large optical grinding machine for brittle materials assisted by force prediction. (January 2020)

• Record Type: Journal Article
• Authors: Lin, Shuo; Wang, QianRen; Jiang, ZhenHua; Yin, YueHong
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 234:Number 1/2(2020)
• Page Start: 14
• Page End: 26
• Publication Date: 2020-01
• Subjects: Grinding force model -- online force control -- brittle material; Mechanical engineering -- Periodicals; Engineering -- Management -- Periodicals; Manufacturing processes -- Periodicals; 629.8
• DOI: 10.1177/0954405419841523
• Languages: English
• ISSNs: 0954-4054

Abstract

Trajectory planning of aspherical surfaces with appropriate cutting parameters is always a tedious task, especially on difficult-to-grind materials. Orthogonal experiments are usually designed and conducted first to get a full estimation of forces under different sets of grinding conditions (e.g. depth of cut and feeding velocity). However, all these data will change, as the grinding wheel becomes blunt. To reduce the work on the selection of grinding parameters and keep the grinding process stable, a new force-controlled grinding strategy for large optical grinding machine on brittle material is proposed. The grinding force is controlled by adjusting feeding velocity along the trajectories in real time. The grinding force model is established by analyzing the complex contact area between the arc-shaped wheel and the workpiece. The co-existing of brittle and ductile removal is also considered. For the longtime delay of the system, the controller foresees the grinding force in 0.4 s later based on the model proposed, to prevent the large overshoot of the force (up to 87.5%). The verification of the controller was conducted on silicon carbide ceramics. The force overshoot was reduced to 22.5%, and the motion accuracy was guaranteed by position servo within 5 µm. The subsurface damage along the trajectory was further analyzed and discussed.