5 results about "Water absorption coefficient" patented technology

The invention provides a light thermal insulation material water absorption coefficient testing device, which comprises a water absorption module, the water absorption module is communicated with a drying module through a liquid conveying pipeline, the liquid conveying pipeline is provided with a peristaltic pump, the peristaltic pump is electrically connected with a liquid level controller, the liquid level controller is electrically connected with an optical liquid level sensor, and the optical liquid level sensor is electrically connected with the drying module. The optical liquid level sensors are symmetrically mounted on the water absorption module; the system further comprises a surface water drop detection module, and the surface water drop detection module is installed in the water absorption module. The water absorption module provided by the invention can be flexibly adjusted according to the original water level in the test water tank, so that the to-be-tested block does not float upwards in the water absorption test process, and on the premise of ensuring that the to-be-tested block is in full contact with the water surface and does not deform, water absorption coefficient experiments are simultaneously carried out on different types of light thermal insulation materials with the same height; the device fills the blank that water in the drying module cannot be reused, realizes water circulation of the drying module and the water absorption module, guarantees the measurement precision, and also improves the energy-saving effect of the system.

This invention discloses a method for simultaneously improving the mechanical properties and moisture transport properties of high-volume fly ash mortar using chemical admixtures. The steps include: 1. Selecting multiple chemical admixtures, with their respective dosages as independent variables, and using response surface methodology to prepare multiple groups of high-volume fly ash mortar. 2. Testing their compressive strength, splitting tensile strength, first-stage water absorption coefficient, and second-stage water absorption coefficient after 28 days of curing, using these as dependent variables. 3. Establishing the mathematical relationship between the mechanical properties and moisture transport properties and influencing factors, predicting the optimal chemical admixture dosage, and preparing high-volume fly ash mortar based on this prediction. The accuracy of the match between the predicted and actual values ​​is then measured and verified. This invention addresses the difficulty of simultaneously improving the mechanical properties and moisture transport properties of high-volume fly ash mortar by applying experimental design and rationally using chemical admixtures to simultaneously improve both properties.

The present application belongs to coefficient determination method, and particularly relates to a method for determining the iron water absorption coefficient in gamma logging data interpretation. The method for determining the iron water absorption coefficient in gamma logging data interpretation comprises the following steps: step one, collecting information; step two, calculating the equivalent thickness; and step three, calculating the absorption coefficient. The present application has the following remarkable effects: the method of the present application establishes a fitting function by using the limited discrete data provided by the existing logging model experiment, calculates the iron water absorption coefficient corresponding to different measured borehole diameters by using the function, has high fitting accuracy of the absorption coefficient, and has the advantages of convenient calculation, easy programming, simplified drilling process, and saved drilling construction cost.

The present invention discloses a method for intelligently adjusting washing parameters, relates to the technical field of washing parameter adjustment, and solves the technical problem in the prior art that the washing effect is affected because the water absorption capacity of the clothing material is not taken into consideration; the present invention collects load data and standard washing condition data of the intelligent washing machine through a sensor, compares the load data with a preset weight threshold range and a height threshold range to obtain washing preparation data, detects the real-time water level and water level time in real time, combines the standard washing condition data to obtain the water absorption coefficient of the clothing, and obtains the type of clothing according to the water absorption coefficient of the clothing to obtain washing data, obtains the water absorption rate of the clothing based on the water level time and the real-time water level, and compares it with the tight threshold to obtain the type coefficient, calculates and obtains washing adjustment data according to the type coefficient, predicts the water absorption amount of the clothing after water addition is completed based on the washing data and the washing preparation data, calculates and obtains the adjusted water inlet time, and adjusts the washing parameters.

The invention relates to a model method for estimating the soil organic carbon density of a watershed using optical characteristic parameters of water bodies, and relates to a method for estimating the soil organic carbon density of a watershed, and belongs to the field of water body and soil environmental parameter evaluation. The invention aims to solve the problem that the current method for measuring soil organic carbon density is time-consuming and costly. The method is as follows: 1. Obtain water sample data; 2. Obtain soil sample data; 3. Based on the boundary vector data of China's nine major watersheds, the water sample data and the soil sample data are matched, and the linear regression model of the soil organic carbon density SOCD and the water absorption coefficient a is constructed using SPSS software. CDOM (355), the final model SOCD = 1.22*a CDOM (355) + 0.087. By monitoring the concentration changes of CDOM in water bodies, the present invention can understand the migration and transformation patterns of soil organic carbon density in surrounding watersheds. This is of great significance for understanding the Earth's carbon cycle, protecting the ecological environment, and guiding agricultural production.