The simulation model, GINQUAL, was used to estimate the effects of feedrate, moisture, initial trash content and machinery sequence on seed cotton cleaning efficiency. The machinery sequences included various combinations of an airline cleaner, an inclined cleaner, a stick machine, and a combination bur and stick machine. Initial moisture was allowed to vary from 5 to 15 percent, ginning rate from 3.28 to 8.20 bales/mhr, and input trash from 24 to 46 percent. Total seed cotton cleaning efficiency was shown to decrease with increasing moisture and ginning rate. Increasing the input trash and moisture levels increased the effective feedrate through the overhead cleaning equipment for each selected ginning rate. Although total seed cotton cleaning efficiency was also shown to decrease with increased input trash levels, this was probably a result of the increased effective processing rate. The model produced results consistent with the literature, implying that it is suitable for use as a technology transfer tool.