In industrial applications, rotary drums are poorly understood and preform suboptimally when used to process particulates. In order to better understand how these drums work, a statistical experiment was designed to measure the effects of the fill level and rotation rate on the final temperature of the particle bed. A steel rotary drum was set up to be headed by three external heat guns, simulating the conditions under which standard rotary drums are operated. By measuring the bed temperature at steady state, and recording the combination of factors in each run, a regression analysis was run to determine the factor's effects. Fill level was seen to have a small positive effect, rotation rate was seen to have a small negative effect, and the interaction of the two was shown to have a large positive effect. This led the team to conclude that the flow profile of the bed may be the most important factor in heat transfer, and that further research should be done to isolate and study the effect of the flow profile.