Basic principles for drying equipment selection

First, the basic principles of drying equipment selection:

1. Applicability ------- The drying device must first be applicable to specific materials and meet the basic requirements for drying of materials, including the ability to process materials well (feed, transport, fluidize, disperse, pass Heat, discharge, etc.), and can meet the basic requirements of processing volume, dehydration amount, product quality and so on.

2. High drying rate---only in terms of drying rate, the material is highly dispersed in hot air during convection drying, the critical moisture content is low, the drying speed is fast, and the same convection drying, the drying method has different critical moisture content, so The drying rate is also different.

3. Low energy consumption ------- Different drying methods have different energy consumption indexes. Generally, the thermal efficiency of conductive drying can reach 100% theoretically, and convection drying can only be about 70%.

4. Saving investment-----Drying equipment that performs the same function, sometimes its cost difference is very different, should choose the lower one.

5. Low operating costs - equipment depreciation, energy consumption, labor costs, maintenance costs, spare parts costs, etc. should be as low as possible.

6. Prefer the drying device with simple structure, sufficient supply of spare parts, high reliability and long service life.

7. Meet environmental protection requirements, good working conditions and high safety.

8. Before the selection, Zui can make the drying experiment of the material, and deeply understand the drying device (extension and disadvantage) that has been used in similar materials, which is often helpful for proper selection.

9. Not relying entirely on past experience, focusing on absorbing new technologies and listening to expert opinions.

Second, the characteristics of dry technology wood Although modern drying technology has a history of more than 100 years, but still belongs to the scope of experimental science. Most drying technologies currently lack scientific theories and design methods that accurately guide practice. In practical applications, relying on empirical and small-scale experimental data to guide industrial design is still the main way, the reasons for this situation are as follows:

One of the reasons is that some basic disciplines relying on drying technology (mainly subject to the discipline of transfer engineering) have the characteristics of experimental science. For example, the development of aerodynamic research is driven by the “wind tunnel” experiment, which indicates that it has not left the scope of experimental science, and the development level of these basic disciplines directly affects and determines the development level of drying technology.

The second reason is that many drying processes are the process of multi-disciplinary technology convergence, involving a wide range of factors, many changing factors, and complex mechanisms. For example, in the field of spray drying technology, the trajectory of the atomized droplets in the drying tower is the key to engineering design. The trajectory of the droplet is related to its volume, mass, initial velocity and direction, and the flow and velocity of other droplets and hot air around it. However, due to the mass transfer and heat transfer processes, these parameters change all the time, and in the initial state, neither the size of the droplets nor the distribution of hot air can be uniform. Obviously, engineering design based on theoretical calculations for such complex and varied processes is not reliable.

Each dryer unit has its own specific application range, and each material can find several drying devices that can meet the basic requirements, but there is only one suitable for Zui. If the selection is not appropriate, in addition to the unnecessary one-time high procurement cost, the user has to pay a heavy price throughout the lifetime, such as low efficiency, high energy consumption, high operating cost, poor product quality, and even device fundamentals. Can't run normally and so on.

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