43results about How to "Simplify the formulation process" patented technology

The invention relates to a performance predicting model of an austenite stainless steel precise belt and a precision cold rolling process design thereof, which are characterized in that the stainless steel cold rolling board performance prediction model which is constructed through artificial neural network technology (such as Plexi neural network development environmental software) mainly comprises a data storing memory base, a computer artificial intelligent network, a final deformation degree predication module and a final deformation degree prediction value judging module. The model can implement the calculation of multivariate function according to all factors influencing the chemical properties of products, including chemical components, and the like, and implement the correction training on the performance prediction module according to collected production data to give the most appropriate final deformation degree. With the final deformation degree prediction value given by the prediction model applied, the precision cold rolling process design of the austenite stainless steel precise belt can be implemented conveniently with high efficiency and good effect. High quality austenite stainless steel precise belt finished products can be produced, the mechanical performance error of which is less than Vickers hardness of positive / negative eight units.

The invention discloses an online thickening device for a polymer injection well, which belongs to the field of tertiary oil recovery. The device includes: distribution pipeline, flow distributor, liquid distribution tank, hopper, injection pipeline, polymer injection pump and first control valve. The inlet of the dispensing pipeline is connected with the polymer injection main line of the injection well, and the outlet is connected with the first inlet of the liquid distribution tank; the hopper is connected with the second inlet of the liquid distribution tank; the outlet of the liquid distribution tank is connected with the inlet of the injection pipeline, and the injection The outlet of the pipeline communicates with the polymer injection main line; the polymer injection pump is arranged on the injection pipeline; the flow distributor and the first control valve are arranged on the injection pipeline. The enrichment device can perform individual adaptive enrichment operations on a single polymer injection well, and can perform on-line enrichment on the premise that the polymer injection well does not stop production, and uses the first polymer flooding solution as the prepared mother liquor , avoiding the separate use of the preparation mother liquor, which not only simplifies the preparation process, but also saves raw materials.

The present invention discloses an establishment method for a high aluminum bronze coating property forecasting model and an optimization method for a single property indicator of a high aluminum bronze coating. The establishment method for the forecasting model comprises: establishing a training sample and a testing sample; constructing a BP neural network model; optimizing a weight and a threshold of the BP neural network by using the training sample and by using a genetic algorithm; and testing, by using the testing sample, the BP neural network model optimized by using the genetic algorithm, to obtain the high aluminum bronze coating property forecasting model. The optimization method is to perform extremum optimization on a single property indicator of a high aluminum bronze coating by using the forecasting model and the genetic algorithm. The high aluminum bronze coating property forecasting model established by the method provided by the present invention is high in forecasting accuracy, and implementing the high aluminum bronze coating property forecasting model greatly improves efficiency in researching a high aluminum bronze coating and making research and development of the high aluminum bronze coating become more directional and forward.