TB-023 Filter Change-out : Law of Diminishing Returns

This document contains information on the concept of diminishing returns in filtration, specifically how adding more filters can impact flow resistance and pressure differentials, as well as recommendations for when to change filters for optimal performance.

To optimize a filtration system, achieving the right balance between economy and performance is crucial. Factors such as particle characteristics, media type, and fluid properties play a significant role in determining this balance. The choice of filters involves considering filtration efficiency and dirt handling capacity. Different types of filters like membrane filters, pleated surface filters, or non-pleated depth filters may be needed based on filtration objectives. Multiple filter types might be necessary to achieve the filtration goal in complex processes.

Key highlights:

• Minimum Core Requirement: Baseline value to determine the minimum number of filters needed based on flow demand.

• Flow per Ten Inch Equivalent (TIE): Optimize flux with recommended maximum flow rates per ten inches for different filter media types.

• Filter Flow Rate: Evaluate the number of filters required based on actual filter data, viscosity, and clean delta P.

• Actual Test Data: Realistic values obtained through testing, challenging to achieve but provides accurate results for batch processes.

• Relationship between Pressure, Flow, and Surface Area: Proportionate relationship affecting filtration efficiency as particulates block media pores.

Understanding and considering these factors are essential for effectively optimizing a filtration system in terms of flow, throughput, and cost-effectiveness. Defining operational parameters is critical before making any recommendations.

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