Implicit surface modelling and parametric optimization for self-cleaning portable toilets using a rotary jet head cleaning in grasshopper

Abstract

This paper describes the development of design and optimization workflow of self-cleaning portable toilet cubicle interior surface in Grasshopper to obtain a high cleaning performance. Modelling of the portable toilet cubicle interior surface was performed using the parametrically defined skeletal implicit modelling technique, which allows for the quick generation of smooth and seamless surface variants. Assuming the importance of impact pressure to cleaning performance, the developed rotary jet head (RJH) cleaning simulation model provides the evaluation and optimization of the cleanability performance of the toilet cubicle interior surface. The distribution of the cleaning effect using a rotating liquid jet for a set of configured surfaces can be described as a function of surface shape and jetting parameters, such as position and motion. The optimization objective is defined as the maximization of cleaning effect distribution and the minimization of under cleaned surfaces. The findings of the study suggest the potential of implicit surface modelling being a promising method within the parametric modelling environment when coupled with a cleaning performance simulation in order to enable the optimization of the surface. In particular, it suggests the appropriate surface configuration for optimum cleaning performance.