The　surface　quality　of　the　polishing　tool　is　of　great　importance　to　the　polishing　performance,　and　it　is　usually　maintained　by　a　dressing　process.　The　dressing　parameters,　which　ultimately　influence　the　effectiveness　of　dressing,　are　difficult　to　determine　because　the　dressing　process　involves　complex　multiaxis　motion　control.　To　improve　the　machining　efficiency　and　quality　of　the　polishing　tool,　this　study　investigated　the　optimization　of　the　process　parameters.　First,　the　grain　on　the　grinding　wheel　was　regarded　as　the　research　object.　The　trajectory　model　of　the　grain　was　established　using　multi-body　theory.　Subsequently,　based　on　the　above　model,　an　optimization　method　was　developed　to　optimize　the　process　parameters.　The　experimental　results　showed　that　the　average　initial　contour　error　of　the　surface　of　the　polishing　tools　was　267.46　mu　m.　When　polishing　tools　were　dressed　using　the　worst　process　parameters,　the　surface　quality　was　improved　by　an　average　of　67.82%　to　86.06　mu　m.　When　polishing　tools　were　dressed　using　the　best　process　parameters,　the　surface　quality　of　the　polishing　tools　improved　by　86.57%　to　35.92　mu　m　on　average.　This　paper　demonstrated　the　accuracy　of　the　model　and　effectiveness　of　the　proposed　optimization　method.