Python-based data processing method for microphysical performance parameters in sludge dewatering process
Through Python-based data processing method and combined with XDLVO theory, the interaction energy between sludge particles during sludge dehydration is calculated, which solves the problem of low calculation accuracy and achieves more efficient and accurate calculation of sludge dehydration process parameters.
Patent Information
- Application Number
- CN202411702788.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2025-03-28
AI Technical Summary
During the sludge dehydration process, the process of using XDLVO theory to quantitatively calculate the Lewis acid-base interaction energy, van der Waals interaction energy and the mutual free energy of the electrostatic double layer has the problem of low calculation accuracy.
A Python-based data processing method is provided. By obtaining the particle size of sludge flocs, zeta potential and the contact angle between the test liquid and the surface of sludge particles, combined with XDLVO theory, the interaction energy of the distance change between sludge particles under different test liquids is calculated. This method also improves the accuracy of the calculation results by calculating the Hamaker constant A.
The calculation accuracy of microscopic physical performance parameters during sludge dehydration is improved, the data processing is more intelligent, the calculation process is simpler and less prone to errors, and the calculation efficiency is higher, which can more accurately reveal the microscopic mechanism of sludge dehydration mechanism.