<p dir="ltr">Online learning has become a staple in contemporary education, requiring new ways to display and promote experiences. Virtual labs can be used to give learners a way to enter a lab environment without the need for expensive equipment or materials. Examples of possible virtual labs include common drying and sterilization operations, more specifically a fluidized bed dryer and heat exchanger system. These processes incorporate numerous material properties and engineering design to describe and simulate them. The models being developed include various material characteristics and their corresponding effects for fluid flow, heat transfer, mass transfer, and reaction kinetics. Computer simulations of the systems were developed using data from numerous sources regarding product physical and chemical properties and the engineering relationships of fluid flow, reaction kinetics, and heat transfer for fluidized beds, plate heat-exchangers, and cylindrical pipes. This data was integrated into standard and accepted engineering and kinetic models to predict the system response with extra data gathered to estimate Maillard reactions for crystal malt using a fluidized bed with two temperature treatments. The heat exchanger system has models in place to evaluate an orange juice concentrate, a milk concentrate, and a carboxymethyl cellulose solution. The developed simulations show that the outputted data can be used to evaluate trends and fit models that match up to the literature expectations, with some tolerances to account for simplifications and assumptions. Roasted crystal malt color analysis shows rates of 0.33 to 0.34 EBC per minute and total EBC units after two hours of 72 and 96 EBC for temperature treatments of 125C and 142C, respectively. The non-reliance of temperature for the rates follows available data in literature with only the overall EBC color changing between temperatures. Further work to expand the scope of the models can help enhance their results and usability by including dynamics, accessory systems, or corrections to data and assumptions.</p>