The phrase "automatic polishing" is correct and usable in written English.
It can be used in contexts related to manufacturing, cleaning, or finishing processes where a machine or system performs polishing without manual intervention.
Example: "The factory utilizes automatic polishing machines to ensure a consistent finish on all products."
Alternatives: "automated polishing" or "self-polishing".
The rotary table is used to enlarge the polishing workspace of the automatic polishing machine.
In order to reduce the polishing time and cope with the shortage of skilled workers, a user-friendly automatic polishing system was developed in this research.
Based on the freeform surface polishing requirement, a self-developed automatic polishing machine is proposed, which mainly includes a five-DOF parallel manipulator, a single DOF rotary table, and a linear motion platform with a force feedback system.
This paper presents the solutions adopted for a robotic automatic polishing platform for finishing machining on curved surfaces to reduce cost and improve quality on such manual finishing operations.
The results show that the proposed automatic polishing platform has the good ability of effectiveness and feasibility for polishing on curved surfaces, and is able of achieving a mirror effect surface and keep a good global uniformity.
Tool paths are one of the key factors for the automatic mechanical surface polishing.
Beyond that, it's all polish: automatic contact sync (both Google Contacts and those locally stored on your BlackBerry), one-click callback, and greeting customization to name some of it.
The results showed that grinding and polishing with automatic oscillating systems, including Ortho-Strips, resulted in equally smooth surfaces with untreated enamel, or even better.
Applying these language models can effectively contribute to efficiency improvement of automatic speech recognition for Polish.
The obtained statistical data open up further opportunities to continue research on improving automatic speech recognition in Polish.
The phonemic language corpus for Polish was developed by automatic grapheme-to-phoneme conversion of the source orthographic language corpus file obtained from the NCP corpus resources.
