The invention discloses
silicon carbide non-pressure
barrel surface finishing and
grinding equipment and method, and belongs to the technical field of precision
ceramic machining. The method comprises the following steps: cooperatively obtaining a high-precision three-dimensional
point cloud on the surface of a cylinder; macroscopic geometric deviation identification based on three-dimensional registration and microdefect intelligent identification based on a PointNet + +
deep learning model are executed in parallel, and a structured defect
feature set is generated; according to the defect features, a layered contour
grinding instruction for macroscopic protrusions and a fixed-point spiral
grinding instruction for microscopic pore cracks are generated through self-
adaptive planning; and when the
machining instruction is executed, the posture of the
barrel body is monitored in real time through a high-speed vision
sensing system, the movement track of the grinding head is dynamically adjusted in a closed-loop mode, and
system errors are compensated. By constructing an intelligent
closed loop of
perception-decision-execution-compensation, integrated accurate identification and self-adaptive high-precision grinding of
macro and micro composite defects on the surface of the
silicon carbide cylinder are achieved, the technical problems that a traditional method is not accurate in identification, the strategy lacks adaptability, and errors cannot be compensated in real time are effectively solved, and the method is suitable for large-scale popularization and application. And the
machining precision and the
automation level are obviously improved.