8 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.

The invention discloses a traditional Chinese medicine decoction decocting method and device based on a parameterized model, and belongs to the technical field of traditional Chinese medicine decoction decocting. S1, classification is carried out according to the water absorption coefficient S, the heat stability and the component release kinetics curve of traditional Chinese medicinal materials; s2, performing decoction parameter model setting aiming at different medicinal material types in a decoction device for decocting the traditional Chinese medicine decoction; s3, traditional Chinese medicinal materials needing to be decocted are added into the decoction device, the decoction device adjusts the water amount in the decoction device according to the water adding amount model corresponding to the medicinal material type, and then decoction is started; s4, in the decocting process, the decocting device adjusts the temperature and the pressure according to the temperature-pressure coupling model corresponding to the medicinal material category; s5, a threshold value is set in the decoction device in advance, decoction is stopped when the decoction device monitors that decoction reaches the threshold value, and through the mode, the problems that a traditional technology is low in standardization degree and poor in drug effect stability are solved.

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 invention discloses a method for intelligently adjusting washing parameters, relates to the technical field of washing parameter adjustment, and solves the technical problem that the washing effect is affected due to the fact that the water absorption capacity of clothes materials is not considered in the prior art. Load data and standard washing condition data of the intelligent washing machine are collected through a sensor, the load data are compared with a preset weight threshold range and a preset height threshold range to obtain washing preparation data, the real-time water level and the water level time are detected in real time, and the clothes water absorption coefficient is obtained in combination with the standard washing condition data. Obtaining a clothes type according to the clothes water absorption coefficient, obtaining washing data, obtaining a clothes water absorption rate based on the water level time and the real-time water level, comparing the clothes water absorption rate with a close threshold value to obtain a type coefficient, and calculating and obtaining washing adjustment data according to the type coefficient; based on the washing data and the washing preparation data, the water absorption amount of the clothes after water adding is completed is predicted, the adjusted water inlet time is obtained through calculation, and the washing parameters are adjusted.

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 present invention provides a method for determining the feeding flow rate according to the batch feeding amount. For tobacco leaves continuously produced by super-return loosening and leaf moistening feeding processes, before the super-return loosening process, various data of the current batch of dry cigarette package materials, historical data of the moisture content of the cigarette packages before water addition, target outlet moisture content, historical data of the water absorption coefficient of the cigarette packages and the total feeding amount are obtained, and the super-return weight and the total material amount at the leaf moistening outlet of this batch are predicted. After the weight proportion of each cigarette package in this batch is obtained, the feeding amount of each cigarette package in the leaf moistening feeding section is allocated, and the feeding flow rate is adjusted according to the material flow data of the flow scale during the production process. After the super-return loosening process, the weight of each cigarette package, the moisture content of the cigarette package after water addition, and the water addition amount are recorded respectively, and the water absorption coefficient of each cigarette package is calculated, and the historical database is updated. Based on the historical data of the cigarette packages before and after super-return loosening and water addition, this method converts the batch feeding index into the flow feeding index, ensures the integrity of the cigarette formula and uniform feeding, and stably improves the intrinsic quality of the cigarette.

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.