Litcius/Paper detail

Robotic milling of complex NURBS surface with fixed cutter axis control method

Wang Z.-Q., Qinghuai Liu, Wang X.R., Li Y, Ning Yang, Lin Shi, Peng He

2021Industrial Robot the international journal of robotics research and application10 citationsDOI

Abstract

Purpose This papers aims to provide a fixed cutter axis control (F-CAC) industrial robot (IR) milling for NURBS surfaces with large fluctuation, which can avoid over-cut and interference during IR milling in contrast to variable cutter axis control (V-CAC) IR milling. Design/methodology/approach After the design of a target surface, the IR reciprocating milling trajectory can be obtained using NURBS mapping projection method. A set of interpolation points of the reciprocating trajectory can be calculated using the equi-chord interpolation method. Combining with F-CAC method and curvature estimation, the IR reciprocating trajectory of the tool center point (TCP) without over-cut can be obtained. The programs corresponding to posture control using F-CAC can be generated by IR kinematics. Findings In contrast to the V-CAC milling method, the F-CAC method can machine successfully the NURBS surfaces with large fluctuation. The simulation and machining proves that F-CAC is feasible and effective to machine NURBS surface with large fluctuation without over-cut phenomenon. The F-CAC has wide application in carving and woodworking industry at present. Originality/value The F-CAC method is very practical and effective for IR milling of complex NURBS surfaces with large fluctuation without over-cut and interference phenomenon.

Topics & Concepts

Reciprocating motionMachiningInterpolation (computer graphics)Milling cutterNumerical controlInterference (communication)TrajectoryMachine toolComputer scienceMechanical engineeringMathematicsEngineeringControl theory (sociology)Artificial intelligencePhysicsControl (management)Frame (networking)Gas compressorChannel (broadcasting)Computer networkAstronomyAdvanced Surface Polishing TechniquesAdvanced Numerical Analysis TechniquesSoft Robotics and Applications