Research on multi-pass multi-parameter coating thickness distribution model for robotic spraying process on gas turbine blades

To address the challenge of determining process parameters and predicting quality in the robotic spraying operation of gas turbine blades, a multi-pass and multi-parameter coating thickness distribution model is proposed, based on spraying experiments. Initially, a single-pass multi-parameter coating thickness distribution model is developed from flat plate spraying experiments. Using the basic elliptic double-β curve model, the process parameters and environmental humidity, which significantly influence the spraying process, are incorporated. The model function is then constructed and parameter fitting is performed based on the experimental data. Subsequently, the paint film overlap in the spraying process of gas turbine blades is analyzed. A segmented multi-pass multi-parameter coating thickness distribution model is proposed for multi-pass spraying with overlap distance. The reliability of this distribution model is validated through spraying experiments on 9-stage gas turbine blades. The proposed distribution model enables a fully automated coating thickness generation program for the robotic spraying process on gas turbine blades, providing essential support for the enhancement of the robotic spraying process.