In food, feed and other industries, moisture content is an important indicator to measure the quality of its products. Achieving rapid online detection of product moisture content is of great significance for enterprise quality control and cost savings.
The following is an example of technological development of a feed company:
In the process of researching product quality, the company found that the statistical results of laboratory analysis reports showed the greatest variation in moisture. According to the statistical results of customer complaints, moldy deterioration is the most serious problem. The direct cause of mildew is excessive moisture. Too low water content will increase weight loss and reduce product palatability. Moisture variation also widens the variation of other nutrients.
Based on this, the company's relevant leaders and researchers decided to make the extrusion (expansion) feed product moisture control as a key issue, and carried out a series of research and technology development.
First, through the equilibrium moisture experiment, it was found that the mold of the company's product series exceeded 11.5% (or the water activity> 0.7) and the mold began to grow. Accordingly, the safe moisture for long-term storage of the product series is set at 11.0%. Secondly, at the packaging point, sampling and analysis were continued for 20 hours every 30 minutes, and it was found that the coefficient of variation (CV%) of product moisture during the production process was 14.7%. Based on statistical principles, the target moisture required to ensure that 97.5% of the product does not exceed the safe moisture (11.0%) moisture analyzer is calculated to be 8.5%.
In order to reduce product moisture variation in the production process, the company's scientific researchers have established a feedback automatic control system through multi-disciplinary cooperation. The system includes a capacitance-based sensor that continuously and quickly measures product moisture and sends the information to a computer feedback control system at a rate of 20 readings per second to adjust the hot air temperature of the dryer accordingly. In other words, the controlled (measured) dependent variable of the automatic control system is the product moisture, and the controlled independent variable (Controlled Independent Variable) is the hot air temperature. After installation and commissioning, the coefficient of variation of the product's moisture under the control of the system was measured in a 20-hour continuous area and was reduced from 14.7% to 2.5%. Accordingly, the target moisture is reset to 10.5%, thereby reducing the weight loss by 2% (10.5% -8.5%). The benefits of this study include: reduced energy consumption for drying and a 2.5% weight loss. The plant annually produces 50,000 tons of extruded (expanded) feed at an average selling price of US $ 400 per ton, resulting in an annual benefit of US $ 500,000 (50,000 × 400 × 2.5%). At the same time, the product is prevented from mildew, and the palatability and quality stability of the product are improved. document.write () From this example, we can see that the rapid detection of moisture has a very large development potential in the field of process control, which is of great significance for the quality control and cost saving of enterprises.
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