Multi-parallel coexisting-cooperative-cognitive robot large-scale optical mirror surface machining device

Abstract

The invention discloses a multi-parallel coexisting-cooperative-cognitive robot large-scale optical mirror surface machining device. The machining device is characterized in that an L-shaped supporting frame is used for fixing and supporting two different parallel machining robots and a to-be-machined mirror surface, a mirror surface inner ring machining unit 4 is a 5 UPS + UPU type parallel machining robot, a mirror surface outer ring machining unit is a 4 UPS + PUU type parallel machining robot, an active partitioning flexible hydraulic supporting system is installed on a mirror surface rotary fixing unit, the supporting system serves as a flexible support of the to-be-machined mirror surface in the machining process, the output force of each supporting point is adjusted, and the opticalmirror surface is balanced in stress in the machining process. The machining device is small in size, high in rigidity, small in accumulative error, high in machining precision and capable of improving the machining efficiency of the optical mirror surface; and meanwhile, the rigid supporting system is improved, the output force of each supporting point can be adjusted, so that the optical mirrorsurface is balanced in stress in the machining process, and is not prone to be deformed or damaged, and the machining device is more suitable for machining complex curved surface optical mirror surfaces.

Description

technical field [0001] The invention relates to an optical mirror processing equipment, in particular to a multi-parallel fusion robot large-scale optical mirror processing equipment, which belongs to the technical field of precision component processing equipment. Background technique [0002] With the rapid development of optical technology, curved optical parts as the core components are widely used in military reconnaissance, aerospace and many civilian fields, such as projectors and camera lenses, viewfinders, telescopes and other fields, and modern optical systems It is rapidly developing in the direction of large diameter, high precision, high resolution and high power, and the demand for large optical mirrors is increasing, so there is a higher standard for the processing accuracy of optical mirrors. The processing process of optical mirror mainly includes blank processing, rough grinding, grinding, polishing and other processes. Among them, the grinding and polishin...

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Problems solved by technology

[0003] The current traditional mirror surface processing equipment usually uses a single series mechanism to process the mirror surface. The series mechanism has the disadvantages of small rigidity, low precision, slow dynamic response speed, and large cumulative error.

The structure of this kind of mirror processing equipment is relatively complicated and difficult to control, and in the processing of large-scale curved optical mirrors with special purposes such as high-order curved surfaces, sinusoidal curved surfaces, and free-form surfaces, the number of repetitions of "surface shape measurement-polishing processing" increases. , there are problems such as low processing efficiency, damage to the optical mirror surface during processing, and affecting the optical characteristics and performance of the part

[0004] In traditional mirror processing equipment, the bottom support part of the optical mirror to be processed is usually rigidly supported, and the output force of multiple support points is the same and fixed, which cannot be adjusted with the upper processing position and state, so that the processed optical mirror cannot be adjusted during the processing process. Uneven stress on each support point leads to deformation or damage

In addition, as the diameter of the mirror surface to be processed increases, the range of position adjustment of the processing tool needs to be larger, resulting in large inertia in the processing process, resulting in large equipment volume, inconvenient use and high cost

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