Mechanical components are cleaned after manufacturing processes like casting and machining using high pressure waterjets that help in both dislodging and removal of contaminants. In order to understand the dynamic relationships that exist in an actual cleaning process, it is essential to visualize the interaction of the water-jet with the part geometry. To aid in this, we have developed a simplified model of the water-mill that simulates the cleaning process on parts represented using standard CAD geometries. Our model of the cleaning process approximates the water-jets in a water-mill as a set of rays originating from the nozzles and evaluates the pressure the water-jet exerts when it hits the surface of the part. This model can be used to understand the effect of kinematic parameters like nozzle diameter and standoff distance on cleaning. Furthermore, this model can be used to optimize these parameters. Any standard optimization technique can be used for this optimization. As proof of concept, we used a Genetic Algorithm (GA) to optimize the process parameters for the simplified cleaning process on a flat plate and a curved surface. Analysis of the results indicates that the obtained solution is theoretically an optimum.

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