50results about How to "Reduce the amount of experiments" patented technology

The invention relates to the technical field of high-flux preparation in a material genome plan, in particular to a high-flux preparation method of a high-temperature alloy material. The method comprises the following steps: (1) injecting molten wax into a metal mold through a wax injection machine; (2) sticking an adhesive tape to a position surface where a metal block or an alloy block is placed; (3) sintering a combined wax mold into a corundum mold shell; (4) placing the metal block or alloy block into the corundum mold shell, and sealing the corundum mold shell with corundum powder; (5) placing the corundum mold shell into a directional solidification furnace for directional solidification. The method has the characteristics of being simple in preparation process, low in cost and thelike; the limitation that diffusion of multiple elements can only realize solid / solid phase-change high-flux preparation of a composition tissue sample is broken through, but cannot realize high-fluxpreparation of a composition tissue sample, particularly a eutectic reaction tissue, during solidification of an alloy turning from a liquid phase to a solid phase is broken through. The method can realize the high-flux preparation of a solid / liquid phase-change tissue sample, and is favorable for research and development of the high-temperature alloy material.

The invention discloses an arc additive manufacturing finite element modeling method. The method comprises the following steps of: calculating an arc shape and determining the width of an additive area birth-death element; calculating a molten drop shape and determining the height of the additive area birth-death element; establishing an arc additive manufacturing finite element geometric model according to the width of the additive area birth-death element and the height of the additive area birth-death element; correcting the arc shape and the molten drop shape through verifying the temperature distribution of the arc additive manufacturing finite element geometric model, so as to correct the arc additive manufacturing finite element geometric model. According to the method disclosed by the invention, the geometric size of the additive area birth-death element can be determined before the arc additive manufacturing finite modeling by adopting an arc additive manufacturing simulation process, combining an arc shape simulation technology, a molten drop shape simulation technology and a finite element simulation technology and carrying out experimental verification, so as to realize the correct calculation of arc additive manufacturing finite element simulation.

The invention discloses a prediction model establishment, prediction method and device for the performance of glass materials. The method for establishing the prediction model includes: obtaining formula data and various performance data of glass materials to form a prediction database; screening training data from the prediction database, according to The training data is used to construct the prediction model and generate the prediction model. By implementing the invention, starting from prediction, a large number of experiments are predicted, which can effectively reduce the amount of experiments, reduce time costs, and increase the rate of research and development of new formulas. At the same time, through the establishment of the model, the ready-made production can be monitored in real time according to the model, and the accurate prediction model can be used to adjust the glass formula or the corresponding production process in real time according to the prediction curve, which is not only conducive to improving product production efficiency, but also conducive to precise control and improvement. Product pass rate.

The invention relates to a molecular-level base oil blending optimization method. According to the molecular-level base oil blending optimization method, a molecular-level physical property model is used for calculating base oil components and product property. Compared with methods such as traditional empirical formula, the molecular-level base oil blending optimization method has advantages of effectively improving accuracy in property predicting, and furthermore changing a condition of incapability of simultaneously satisfying multiple property indexes or overhigh property margin in blending, realizing accurate control to product quality and production cost, effectively improving economic benefit in blending production, preventing a large amount of experiment working required in a traditional method, saving manpower and material resources and greatly reducing time required in determining a blending formula.