Solids Processing Design Parameters
However, designing a new process opens the door to getting more of the important and common physical properties required to understand a solids processing operation. Let’s start with the basics:
- Moisture and how it varies in the bulk material and within the particles
- Particle size and distribution in each step of a process
- Solids loading at various stages of the process
Most plants can give you basic numbers for these properties. However, these properties are often not a single number but a range of numbers.
Moisture: This varies throughout a batch and within the particles. We had a clumping problem with material stored for a period after drying. In that case, the important parameter was the critical moisture. After the crystallizer, the filtration unit had a wet cake of moisture well above the critical moisture. However, it did vary over time. Research had determined that the drying time of 30 minutes was sufficient to reach the desired final product moisture. This worked well for several years.
Filters deteriorate over time, and cloth material can vary in quality even when new. One day, a clumping problem cropped up due to increased wet-cake moisture. Increasing the drying time caused clumping in the dryer and some product damage. The fine particles were dry, but some of the larger particles were still just below the critical moisture.
The problem was resolved by monitoring the solids temperature to ensure it was above the dew point in the dryer and using a fixed drying time from that point on. Since critical moisture is reached, drying occurs in the falling-rate zone without overheating the solids. This process should have been designed with a control that varied the drying time to account for the constant rate drying period that changed with the starting moisture.
Particle Size Distribution: As with moisture, particle size is not a single number, but a range of values. Unfortunately, the range can change during processing due to attrition and agglomeration. The particle size distribution can affect the drying rate and the product quality. Fine particles may over-dry or have the surface harden, reducing the solubility.
Meanwhile, larger particles end up with residual moisture that can cause clumping. At low concentration, particles in a slurry or suspension behave as single particles in a fluid. They start to behave like larger particles as the concentration rises, and then they settle faster. This effect can cause a fluid bed to collapse or a pneumatic conveyor to plug up.
Solids Loading: Fluids have a limited ability to carry solids. As the solids-to-gas ratio increases, flow changes from a fluid-like motion to slugs. On one hand, this is a good characteristic as the particles will slow down and experience less attrition. The negative side is that piping may need additional supports to prevent slug damage.
Fortunately, it is well understood how the particles flow based on particle size and density. The Geldart diagram, in combination with the saltation velocity, can be used to predict the no-flow region or the limited carrying capacity of a fluid.
Other Considerations
Another thing to consider when designing or troubleshooting a process is the equipment arrangement. While I’ve seldom seen a piece of equipment that wasn’t doing what it was supposed to do, it may be overextended. For example, running a crystallizer to produce a large particle that will reduce filtration time could result in more fine particles from the dryer because of attrition.
A better route may be to run the crystallizer to make smaller particles and agglomerate these into larger particles in the dryer. To evaluate this option, you may need a filtration study to determine the optimum particle size at which you would run the crystallizer to prevent overloading the centrifuge or filter.
Data for solids processing design or troubleshooting can be expensive to obtain, but by looking at alternative routes and paying attention to the three basic particle characteristics, you can focus on the most important parameters. This will give you the best data.