48 results about "Design–Expert" patented technology

An accelerated processor for use in massive data manipulations specific to an application. A workstation has a general purpose processor and a coprocessor connection to which an application specific coprocessor system is connected. The coprocessor system has programming code which is assembled as instructions for the specific application in combination with accelerator environment specific requirements, independently provided but designed to allow non design experts to input application specific code.

The invention discloses a method for preparing antioxidant peptides from oats. Alcalase is determined to serve as the enzyme for preparation through investigating the antioxidant activities and yields of the products obtained by carrying out enzymolysis on the oat bran proteins with different proteases. Reduction of the enzymolysis speed of the Alcalase toward the oat bran proteins is determined to be mainly caused by substrate consumption and enzyme activity loss through investigating the enzymolysis speed of the Alcalase toward the oat bran proteins. Meanwhile, an enzymatic membrane reactorsystem is determined to have good retention effect on the Alcalase through studying the impact of the enzymatic membrane reactor system on the enzyme activity. The activity loss of the Alcalase is mainly caused by the damage to the enzyme in the operation process of a peristaltic pump and the adsorption of an ultrafiltration membrane toward the enzyme. By utilizing Design Expert 6.0.5 to design the response surface analysis experiment with four factors and three levels, the optimum process conditions under which the antioxidant peptides from oats can be prepared by utilizing the enzymatic membrane reactor are as follows: the substrate concentration is 3%; the enzyme addition is 3.2%; the feed flow rate is 45L/h; the operation pressure is 0.07MPa; the temperature is 55 DEG C; and the pH value is 7.3. Through verification, the DPPH scavenging rate of the products under the conditions can reach 57.39%.

The invention provides a method for interactively designing a differential fiber spinning process based on data drive, which comprises the following steps of: first performing initialization to generate an antibody population and antigens and generating an initial population randomly or by using schemes initially designed by process designers; then evolving the antibody population by using an immune evolution operator so as to realize the most likely matching of the antigens, and giving performance evaluation values to each designed scheme by using a scheme evaluation module by process designing experts in the realization of the matching, or giving suggestions on improvement for shortcomings in the schemes at the same time of giving the evaluation values; and finally judging whether the evolution is finished or not according to the evaluation suggestions of the process designing experts in alternatives and in combination with degree of approximation between superior historical schemes stored in an expert system and a current alternative, if the evolution is finished, quitting, and if the evolution is not finished, repeating each step in the optimizing method of the invention. The method has the advantages that: 1, an interactive intelligent spinning process optimizing model is established to provide basis for the setting of production parameters; and 2, the spinning process expert system is adopted to analyze and evaluate a result set and guide production, and a knowledge base and a rule set of the expert system can be continuously added and improved, so the system has a self-learning function.

The invention relates to a complex enzyme microwave extraction method for optimizing lycium ruthenicum polysaccharide by utilizing a response surface method. The method comprises the following steps: firstly, sample preparation: preparing black medlar fruits into black medlar fruit powder, and then performing reaction extraction according to different ratios of material to solvent, different soak time, different microwave power and different extraction time to obtain black fruit medlar polysaccharide extract power with different microwave power; (2) measuring the polysaccharide content in each extracting solution by using a phenol-sulfuric acid method; (3) experimental design and statistical analysis: firstly, single factor experiment; and secondly, response surface method optimization design: according to the result of the single factor experiment, selecting four factors such as microwave power, extraction time, soak time and ratio of material to solvent with obvious influence on polysaccharide extraction effect to establish a pluralistic quadratic regression equation; (4) experimental result analysis and optimization: utilizing Design Expert 8.0 software to perform graphical analysis according to the pluralistic quadratic regression equation so as to obtain a response surface of the regression equation and a contour map thereof. The method is simple in operation and high in extraction efficiency.

The invention relates to a parameter analysis method of paigeite ground by adopting a microwave assisted method and belongs to the technical field of mineral processing. The parameter analysis method comprises the following steps: (1) carrying out microwave roasting on paigeite in a microwave oven, ensuring that the microwave power is 1500-2500 W, heating to be 450-650 DEG C and ensuring that the feeding quantity is 50-250 g; (2) grinding the paigeite treated by microwaves for 5-6 minutes and screening parts of which the grain sizes are less than or equal to 75 [mu]m; (3) optimizing the ball-milling process of the paigeite by adopting the central composite design of a response surface method, wherein the selected influence factors are microwave power X1 of which the unit is W, microwave roasting temperature X2 of which the unit is DEG C and feeding quantity X3 of which the unit is g, and a response value Y which is set to be the yield percentage of grains with the grain size of less than or equal to 75 [mu]m; (4) analyzing the influence of the selected experimental factors on the grinding efficiency of the paigeite through Design-Expert experimental design optimization software so as to obtain significant factors and optimal technological conditions capable of influencing the paigeite grinding efficiency.

The invention discloses an extracting technology of flavone of ageratum conyzoides by using response surface methodology and application thereof. According to the design principle of Box-Behnken test,the technology conditions of the flavone of the ageratum conyzoides are designed and optimized by Design-Expert software, such as concentration of ethyl alcohol, extracting time, material and liquidratio, and extracting frequency; the flavone of the ageratum conyzoides is extracted in an ultrasonic-assisted way. The extracting technology specifically comprises the following steps of drying the ageratum conyzoides, and crushing into powder; adding the ageratum conyzoides powder into an extracting tank, mixing with the ethyl alcohol solution, and performing ultrasonic extracting; placing an extracting solution into a rotary evaporator, relieving pressure and distilling, and ventilating air to volatize the solvent; evaporating by water bath, so as to obtain the finished product of the flavone of the ageratum conyzoides. The extracting technology has the advantages that the extracting rate is high; the anti-oxidizing ability of the extracted flavone of the ageratum conyzoides is strong;the stronger application effect is realized in anti-oxidizing medicines and food antioxidants.

The present invention teaches a portable action processing software module with pre-designed/preprogrammed expert action plans. A database of action plans allows users to select more than a single course of contact management flow, much like a choice of logic flows would allow programmers to handle the same functions in very different ways, depending upon circumstances. The user may alter or add action plans as well. The action processing module may interoperate with a single contact management device such as a Personal Digital Assistant or contact management software on a desktop computer or server, and with the database of contact information and dates present in the contact management device. In the alternative the action processing module may interact with a plurality of contact management devices (including software package devices).

The invention discloses an expert system based transformer electromagnetic optimization design method and relates to an electrical data processing method of computer aided designs. The method comprises the following steps of: establishing an expert system of a transformer electromagnetic optimization design; determining a target function and an optimization variable of the transformer electromagnetic optimization design and establishing constituent parts of the expert system. The expert system of the transformer electromagnetic optimization design is used in a manner that a lot of expert knowledge and experience are applied to transformer electromagnetic optimization design work. According to the expert system based transformer electromagnetic optimization design method disclosed by the invention, many defects that mathematical algorithms are relatively complex, non-professional people are not easy to master, the randomness is big and local optimum is likely to occur in prior art because a mathematical algorithm based solution is introduced into the transformer electromagnetic optimization design field are overcome.

The invention discloses a method for extracting a borneol camphor tree leaf crude extract. The method comprises the following steps of: mixing borneol camphor tree leaves and petroleum ether according to a material to liquid ratio of the petroleum ether to the borneol camphor tree leaves of 34-36 ml/g, and extracting at the temperature of 48-49 DEG C for 2 to 2.1 hours; and evaporating the obtained extract as the petroleum ether serving as a solvent, thus obtaining the borneol camphor tree leaf crude extract. The invention also provides a method for optimizing the borneol camphor tree leaf crude extract extraction method by response surface methodology. The following three variables are provided, namely the liquid to material ratio of the borneol camphor tree leaves to the petroleum ether, the extraction temperature and the extraction time; and optimization is executed according to Box-Behnken design by using design expert software. By the extraction method, the extraction rate of ice sheets can be increased, and consumption of solvents and resources is reduced, and production and emission of pollutants during production are reduced.

The invention discloses a degradation prediction method for removing artificial sweetener in secondary effluent by ultraviolet/sodium persulfate, comprising the following steps: (1) according to the concentration of HCO3-, Cl-, NO3-, and humic acid in real water, designing a response surface; 2. adding artificial sweetener into that simulate water, and utilizing the ultraviolet/sodium persulfate advanced oxidation process to carry out oxidation degradation; (3) according to the removal rate of artificial sweetener, using Design Expert to fit the model equation. The method of the invention cansimulate the removal effect of the artificial sweetener in the secondary effluent in the ultraviolet/sodium persulfate advanced oxidation process by establishing a model, thereby judging the feasibility of the process removal effect and effectively reducing the pilot test cost.

The invention relates to a method for optimizing the ultrasonic-assisted extraction of tuber salep polysaccharide based on response surface methodology. The method includes: crushing tuber salep, thenconducting sieving to separate impurities, performing degreasing with petroleum ether, conducting depigmentation with ethanol, carrying out natural air drying, then using water as a solvent, utilizing Design Expert 8.0.6 software for Box-Behnken design, taking the polysaccharide yield as the response value, adopting three-factor and three-level response surface analysis process to optimize the ultrasonic-assisted extraction of tuber salep polysaccharide, then centrifuging and concentrating the extracted liquid, performing precipitation with anhydrous ethanol, then conducting centrifugation, and subjecting the polysaccharide precipitate to vacuum freeze drying, thus obtaining the tuber salep polysaccharide. Compared with the traditional method, the method provided by the invention has obviously shortened time, significantly lowered temperature and higher antioxidation activity, is easy for scale-up production, and is one of the ideal methods for preparation of tuber salep polysaccharide. The study can provide reference for application and development of tuber salep polysaccharide in anti-oxidation and anti-aging functional food.

The invention discloses a piriformospora indica fermentation method. The method comprises the following steps: by taking a PDB culture medium as a culture solution, regulating the pH of the culture solution to be 5.0-5.1 by using a HCl solution with the concentration of 1mol/L, and performing culture fermentation on piriformospora indica at the temperature of 27.5-28.5 DEG C for 14-15 days, so as to obtain the fermentation liquor. The invention also discloses a method for performing response surface optimization in the piriformospora indica fermentation process. The method comprises the following steps: setting the three variables including the pH, the concentration of the PDB culture medium and the culture time; optimizing according to the Box-Behnken design principle by utilizing design expert software. According to the method, the yield of secondary metabolites can be increased, and the consumption of nutritional ingredients and culture media is reduced.

The invention discloses a wax mold injection process parameter determination method based on injection molding numerical simulation. The wax mold injection process parameter determination method comprises the following steps: determining actual wax injection related conditions; establishing a finite element model, and dividing the finite element model by adopting a tetrahedral mesh; analyzing sprue matching performance through numerical simulation software Moldflow, and determining an optimal sprue; according to actual conditions, selecting a plurality of wax injection process parameters as test factors, determining the parameter range of the test factors, and taking buckling deformation, a volume shrinkage rate and sink marks as judgment results; According to the method, a Box-Behnken method is adopted in Design Expert to carry out experimental scheme design, and numerical simulation is carried out in Moldflow according to an experimental design scheme; data analysis is conducted by utilizing Design Expert to obtain an optimal wax injection process parameter; and a large amount of resources are saved, production efficiency is improved, and the phenomena of buckling deformation and volume shrinkage of the wax mold are effectively reduced, so the production quality of the wax mold is improved.

The invention proposes a method for predicting pyrolysis kinetic parameters of biomass. The method comprises the following steps of 1) performing optimization design on a proportion of three main components of the biomass by adopting an optimal mixture design method in a Design-Expert mixture experiment method; 2) performing a thermogravimetric experiment on each mixing sample, performing reactive kinetic parameter calculation on thermogravimetric experiment data of the three components in combination with a Coats-Redfern integral method, and establishing a mathematic model used for calculating the pyrolysis kinetic parameters of the biomass by adopting a Special Cubic regression model; and 3) substituting the proportion of main components in a to-be-tested substance into the established mathematic model, and predicting the pyrolysis kinetic parameters of the biomass of the to-be-tested substance. According to the method, a large amount of thermogravimetric experiments and complicated calculation processes required to be performed for calculating the kinetic parameters in a biomass pyrolysis research process are effectively avoided and reliable experimental and theoretical bases are provided for energy utilization of the biomass, control of a biomass thermochemical conversion and utilization process and optimization of a technological process.

An automated expert system that uses split-run and factorial design methods to determine which factors are most important in an experiment. The expert system is architected into Design, Execute and Evaluate phases, to assist a user in developing a Factorial Design experiment in which one, two or three factors are tested simultaneously. In a preferred embodiment, a database infrastructure and web client, browser-based methodology functions as the expert system (a “wizard”) to design experiments, build control groups and evaluate results, all with the goal of discovering what values for which factors will yield the optimum response from subjects.

The invention belongs to the field of mold design and manufacturing, and particularly discloses a modular fine-grained synchronous design method and system for a mold. The method comprises the following steps of: determining a primary de-molding direction, recognizing N lateral concave features, a cavity area and a core area of the product model in the main demolding direction of the mold; and dividing sub-design task modules according to the N lateral concave features, the cavity area and the core area, allocating a design expert with the highest comprehensive matching degree to each sub-design task from a fine-grained historical design database, and pushing related design resources, thereby realizing modular fine-grained synchronous design of the mold. The system comprises a main demoulding direction determination unit, a design task submodule division unit, a task similarity calculation unit, a fine-grained historical design database, a task matching degree calculation unit and a design task allocation unit. According to the method and system, the design efficiency and the design quality are improved, and the degree of dependence on technicians and the risk of experience data loss caused by technician movement are reduced.

The invention relates to a plant flavonoid extraction technology, in particular to a portulaca oleracea flavone enzyme extraction technology adopting an optimized response surface method, and belongsto the technical field of food science and engineering. The technology adopts Box-Behnken response surface experimental design on the basis of a single factor experiment, performs analysis according to Design-Expert 8.0.6 software, optimizes a flavone technology for extracting portulaca oleracea freshly squeezed juice through pectinase, establishes a regression model for extracting flavone throughan enzymolysis method, obtains enzyme extracted portulaca oleracea flavone enzyme, is simple in extraction technology and mild in extraction conditions, and belongs to a suitable method for extracting portulaca oleracea flavone.

The invention relates to the field of preservation technology, in particular to a modified atmosphere packaging system. The modified atmosphere packaging design expert system of fruits and vegetables comprises an information input module, a micro-processor system connected with the information input module and a displayer connected with the micro-processor system and comprises the steps of inputting the size parameters of a film bag by utilizing the information input module; calculating the volume of the film bag and then confirming the maximum aeration volume of the film bag by utilizing themicro-processor system; inputting the packed weight and the initial gas volume by utilizing the information input module; and confirming the packed weight and the initial gas volume when judging thatthe sum of the volume of main body of the fruits and the vegetables and the initial gas volume is not more than the maximum aeration volume by utilizing the micro-processor system. By utilizing the technical scheme, the defects of big workload, more time-consuming and high cost of an experiment are overcome and the modified atmosphere packaging of the fruits and the vegetables is judged through autonomously inputting the known packaging parameters and imitating the packaging effect by a user to confirm the suitable packed weight and the initial gas volume.

The invention discloses an optimization method of an extraction process of total triterpenes in cyclocarya paliurus and an extraction method. The optimization method includes the steps that influencesof extraction time, material liquid ratio, extraction temperature and ethanol volume fractions on the extraction rate of the total triterpenes are comprehensively considered, a quadratic polynomial equation model of the relationship between the extraction rate of the total triterpenes and the four factors is established by a response surface method, a three-dimensional curved surface diagram is drawn for comprehensive analysis, and optimum process conditions are obtained, wherein a volume fraction of ethanol is 60%, the material liquid ratio is 1 to 30, the extraction time is 180min, the temperature is 72 DEG C and the times of extraction is 3. The verification experiment proves that the process parameters are accurate and reliable; and the response surface method is designed by Box-Behnken and statistical software Design Expert 7.00 is used for simple and reliable optimization tests and data analysis, and good results are obtained. According to the optimization method of the extraction process of the total triterpenes in cyclocarya paliurus and the extraction method, a reference is provided for the evaluation of the inner quality of the cyclocarya paliurus, and a foundation is laid for the promotion of the cyclocarya paliurus.

The invention discloses a novel technology for effectively controlling the sizes and the quantities of surface holes by the aid of Design-Expert software when aluminum alloy precision die-casting components are machined. The novel technology has the advantages that the sizes, the quantities and the distribution of the surface holes are important marks for measuring the quality of castings, cast holes are frequently difficult to predict and control when aluminum alloy precision die-casting components are machined at present, and the quality of the aluminum alloy precision die-casting components can be deteriorated; appropriate samples are selected after blanks of the aluminum alloy precision die-casting components are completely manufactured, the sizes and the quantities of cast holes inside the blanks are measured according to selected region standards of the Design-Expert software, rules of the sizes and the quantities of the cast holes inside the aluminum alloy precision die-casting components under the condition of identical manufacturing parameters of a batch are simulated, the machining allowance of the components is adjusted on the basis of the rules, drawing requirements can be ultimately met by the surface holes in the aluminum alloy die-casting components and the sizes of the surface holes, the product qualified rate reaches 90%, and accordingly the rejection rate can be effectively reduced.

The invention relates to a Sporobolomyces reseus and a method for the optimized extraction carotenoid in the Sporobolomyces reseus by using a response surface method. The strain disclosed by the invention is Sporobolomyces reseus CGMCC No. 17429. The invention utilizes a Design expert 8.0 software to carry out Box-Behnken design including the following technological conditions in the extraction ofthe carotenoid from the Sporobolomyces reseus: hydrochloric acid concentration, hydrochloric acid dosage, hydrochloric acid soaking time and hydrochloric acid soaking time, and the optimum extractiontechnological parameters are determined to be: the boiling water bath time, 4.1 minutes; the hydrochloric acid concentration, 4.5 mol/L; the hydrochloric acid dosage, 3.6 ml/g cell wet weight; and the hydrochloric acid soaking time, 30 minutes; the acid and heat treatment can be carried out for 1 time on 1.0-3.0 grams of wet cells and for 2 times on 3.0-4.0 grams of wet cells, and higher extraction efficiency is still achieved by increasing the acid and heat treatment times after exceeding 4.0 grams of wet cells. The method for the optimized extraction of the carotenoid by using the responsesurface method provided by the invention shortens the extraction time, and reduces the energy consumption; and the extracted carotenoid has the advantages of safety, high efficiency, stability, etc.

The invention discloses red raspberry fruit and vegetable chips. The red raspberry fruit and vegetable chips comprise the following ingredients of red raspberry fruit powder, red raspberry pomace powder, purple sweet potato powder, Chinese yam powder, strawberry powder and the like. The red raspberry fruit and vegetable chips are rational in formula, low in cost and rich in nutrients; moreover, the red raspberry fruit and vegetable chips are good in free radical scavenging effect, and high in anti-oxidation capability. The invention further discloses a technique for optimizing the formula of the red raspberry fruit and vegetable chips by adopting a response surface method. According to the technique, the response surface method is utilized in virtue of the statistical software Design Expert by taking the ability to scavenge free radical DPPH as an evaluation criterion so as to simulate the relationship between contents of the various ingredients and half scavenging concentration of thered raspberry fruit and vegetable chips, and thus, a regression model is obtained while three-element contour maps of the various ingredients are charted; and then, regression analysis and verification tests are performed so as to obtain the optimal formula. The technique is simple, reliable and highly effective; moreover, relatively good results are obtained. The technique is suitable for optimization of red raspberry fruit and vegetable chips, as well as the formula of the red raspberry fruit and vegetable chips.

The invention discloses a method for preparing ligustrum lucidum biological activated charcoal. According to the method, three factors, i.e., dipping ratio, activation temperature and activation timeof an independent variable, i.e., zinc chloride, yield of a dependent variable, i.e., activated charcoal and a sulfur dioxide adsorption mathematical model are subjected to regressive analysis by using experimental design software Design-Expert, and an obtained mathematical model is good in fitting property and is accurate and reliable; an experimental result is predicted by replacing an experimental real point with the model, and optimal processing conditions for preparing the activated charcoal through burnetizing ligustrum lucidum are predicted; meanwhile, by adopting a special impurity washing mode, the defect of the conventional activated charcoal production processes that the activated charcoal is acidified due to acid pickling is overcome, and active metal ingredients in the activated charcoal are reserved; and the prepared activated charcoal is particularly applicable to adsorption of acid pickling industrial waste gases, the efficiency of adsorption is high, the waste gas treatment cost is reduced, and then, the application of the activated charcoal in the aspect of treatment of the industrial waste gases is extended.