The invention relates to a method for predicting property of a glass system. The method comprises the following steps of determining the atom kind in structure searching according to the component ofthe target glass system; performing structure screening based on a first principle, and screening a compound which can be formed through interaction between the atoms; comparing the forming energy andphonon spectrum of each compound, and obtaining a stable existing compound; constructing a glass structure composition diagram according to the stable existing compound, wherein the microstructure unit of the glassy compound which approaches a target glass composition point is the structure gene of the glass; and calculating property of the target glass according to a multicomponent glass systemlever model formula, wherein in the multicomponent glass system lever model, the multicomponent glass system is divided into n components, P0 is the property of the target glass; Pi is the property ofthe structure gene of the target glass, and Li is the content of the structure gene of the target glass in the target glass.

Method for predicting properties of glass system

The invention discloses a preparation method of a laser glass material with specific laser performance. The method comprises the following steps: forming a glass component-laser performance database;constructing an intelligent component design model; dividing the glass component-laser performance database into a training data set and a test data set which are respectively used for training and testing the component intelligent design model to obtain a trained component intelligent design model; inputting required target laser performance, and screening out glass components meeting the targetperformance through reverse calculation of the component intelligent design model; and preparing the laser glass with specific laser performance according to the screened glass formula. The method isan efficient and low-cost laser glass material preparation means, and the research and development speed of the laser glass material is greatly increased.

Preparation method of laser glass material with specific laser performance

The invention discloses a preparation method of a glass material with a specific physical property. The method comprises the following steps: forming a glass component-physical property database; constructing a component intelligent design model; dividing the glass component-physical property database into a training data set and a test data set, which are respectively used for training and testing the component intelligent design model to obtain a trained component intelligent design model; inputting required target performance, and carrying out inverse calculation through the component intelligent design model to screen out a glass formula meeting the target performance; and preparing the glass with the specific physical property according to the screened-out glass formula. The method isan efficient and low-cost glass material preparation means, and the research and development speed of the high-performance glass material is greatly increased.

Preparation method of glass material with specific physical property

The invention provides a corroded foil production control method and device based on a corroded foil production process prediction model, and the method comprises the steps: obtaining a current corroded process parameter set for a machine in a process of controlling the machine to produce a corroded foil; and inputting a current corrosion process parameter into a pre-trained corrosion foil production process prediction model, and predicting the specific volume value of the corroded foil produced by the machine table under the current corrosion process parameter, and controlling the machine table to produce the corroded foil based on the current corrosion process parameter when determining that the predicted specific volume value of the corroded foil exceeds a preset threshold value Therefore, influence of the corresponding corrosion process parameters on the performance of the corrosion foil produced by the machine table is predicted in combination with the corrosion foil production process prediction model, so that accurate control of the machine table on the production of the corrosion foil is realized, and the method has great significance in the production of the high-performance corrosion foil

Corroded foil production control method and device

The invention provides a method and device for combining a performance prediction model and product research and development, and the method comprises the steps: obtaining procedure consistency data of a researched and developed product, determining sample data, obtaining a data cleaning rule, and cleaning the sample data according to the data cleaning rule; Performing various data mining algorithm model creation on the cleaned sample data, and training the model to obtain a training result and establish a corresponding model file; Obtaining new sample data, carrying out model verification onthe model file by utilizing the new sample data, obtaining a model verification result, obtaining a preferred model, and storing the preferred model; And obtaining a corresponding performance prediction value by using the optimization model according to the performance requirements on the researched and developed product in research and development. The technical problems of high trial-manufacturecost and long research and development period in product research and development are solved, and the technical effects of calling the corresponding performance prediction model, quickly predicting the design result, reducing the cost and shortening the research and development period are achieved.

A method and a device for combining a performance prediction model and product research and development

The present invention discloses a prediction model establishing and prediction method and device of glass material performances. The method comprises the steps of: obtaining formula data and a plurality of performance data of glass materials to form a prediction database; screening training data from the prediction database, and performing prediction model construction according to the training data to generate a prediction model. Starting from the prediction, a lot of experiments are predicted to effectively reduce the experiment size, reduce the time cost and improve the development rate ofa new formula. Through model establishing, the current production is monitored in real time according to the model, and the accurate prediction model is employed to regulate glass formula or the corresponding production process in real time according to the prediction curve so as to facilitate improvement of the product production efficiency, facilitate accurate control and improve the product qualified rate.

Prediction model establishing and prediction method and device of glass material performances

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Prediction model establishing and prediction method and device of glass material performances