Grain Relativity Humidity Real-Time Prediction Based on Different Saturated Humidity Models in the Process of Storage
A mathematical model was selected and established based on the granary internal temperature and humidity real-time monitoring. In the experiment, the relative humidity of different water content corns were predicted by using different saturated vapor pressure formula and select the fittest model by comparing with the calculations and the test results. The humidity calculated by the saturated vapor pressure at formula 3 was closest to the actual measurement in them. Using the model it was possible to predict the evolution of grain relativity humility. During the experiment process, the calculation appeared the fluctuation because the internal humidity of grain was greatly influenced by the temperature and relativity humidity of the environment.
Determination of Grain Stack's Equilibrium Absolute Humidity and Dewpoint Tempertaure
A moisture sorption equation named CAE was adopted to fit the EMC/ERH data of wheat,paddy and shelled corn,and the parameter-known CAE used for making curve graphs of equilibrium absolute humidity and equilibrium relative humidity of each grain species.The value of grain equilibrium absolute humidity was better for aeration decision than that of grain equilibrium relative humidity.Referring to atmosphere absolute humidity and dewpoint temperature,one can quickly make a decision on grain stack's aeration after checking the grain equilibrium absolute humidity and dewpoint temperature.
Economics of General-Purpose Assembly Robots
Summary A study of the comparative economics of various automatic assembly systems using general-purpose assembly robots is described. In the study, use is made of a “typical” candidate assembly whose profile is obtained from statistical analysis of actual products submitted by interested companies. It is shown that the choice of assembly system and the various parts presentation methods depends on three main factors, namely: the annual production volume per shift, the number of parts in the product and the equipment payback period.