Research on Synergistic Control Method for Dynamic Path Planning and Dwell Time Optimization in Magnetorheological Microjet Polishing

During magnetorheological microjet polishing (MMJP) of hard and brittle surface materials such as glass, non-uniform material removal often occurs. To address this issue, this paper proposes a collaborative control framework integrating dynamic path planning and dwell time optimization. First, an 8-direction priority search combined with the A* algorithm is employed to generate full-coverage toolpaths, while dynamically adjusting node attributes (coordinates, status, removal targets) to minimize dead zones. The dwell time is optimized through deconvolution and non-negative least squares (NNLS), where the geometric characteristics of the toolpath directly influence the convolution process of the removal function. Numerical simulations demonstrate that, compared to conventional methods, the synergy between path planning and dwell time control reduces the toolpath distance by 16.29% and improves surface roughness uniformity by 28.22%. Experimental validation under identical process parameters shows a 32.7% greater reduction in surface roughness. This method exhibits significant advantages in enhancing polishing uniformity, reducing machining errors, and shortening toolpath distances, providing novel theoretical and practical support for the application of magnetorheological microjet polishing in ultra-precision machining of hard surface materials.