Determination for particle size of powder polyacrylamide
1Key Takeaways
This standard specifies the method for determining the particle size of powdered polyacrylamide by sieve method. This standard applies to the determination of the particle size of various ionic powdered polyacrylamide produced by different methods.
2Expert Interpretation
A detailed interpretation of the method for determining the particle size of powdered polyacrylamide specified in the National Standard of the People's Republic of China GB 12005.7-89, including technical background, operating steps and implementation recommendations.
In-depth interpretation of the National Standard of the People's Republic of China GB 12005.7-89 Powdered Polyacrylamide Particle Size Determination Method
| Standard Dimensions | Technical Requirements | Scope of Application | Implementation Recommendations |
|---|---|---|---|
| Method Summary | Dry Sieving Method for Particle Size Determination | Applicable to various ionic powdered polyacrylamide | Standardized test equipment is recommended |
| Instrument Requirements | Sieve vibrator, test sieve, pan balance | - Sieve vibrator speed> 930r/min - Test sieve complies with GB 6003 | Calibrate the instrument regularly to ensure accuracy |
| Operation steps | Weigh the sample, shake the sieve, collect the retained and sieved materials | - Weigh 3kg sample- Shake the sieve for 20 minutes | It is recommended to conduct parallel tests to ensure accuracy |
Case study: Precautions in practical application
Environmental control:Relative humidity must be less than 70%, and there is no special requirement for temperature.
Sample preparation:Weigh 400-500g sample and ensure dry and airtight storage.
Data processing:Calculate the particle size percentage and perform error analysis to ensure the accuracy of the results.
Implementation recommendations
- Standardized operating procedure training
- Equipped with standard instruments and equipment
- Establish a data recording and traceability system
- Perform regular method validation and optimization