34 results about "Central composite design" patented technology

A method of optimizing a very large scale integrated circuit design takes a circuit description which includes interconnected circuit components and characteristic variables assigned to the circuit components such as environmental, operational or process parameters, computes a first solution for the characteristic variables using a statistical analysis, and then computes a second solution for the characteristic variables using an evolutionary analysis seeded by the first solution. In the exemplary implementation the statistical analysis is a central composite design (CCD) and the evolutionary analysis is a genetic algorithm. Best case and worst case CCD solutions may be used to seed separate genetic algorithm runs and derive global best case and global worst case solutions. These solutions may be compared for sensitivity analysis. The method thereby provides significant reduction in time-to-solution with accurate simulation results.

The invention discloses a method for optimizing process parameters of angelica sinensis total flavonoid extraction with response surface methodology. According to the method, extraction duration, a solid-liquid ratio and ethanol content with greater influence on the total flavonoid extraction rate are selected on the basis of a single-factor experiment with an ultrasonic assisted extraction method and are investigated, a quadratic polynomial equation model about a relationship between the total flavonoid extraction content and three factors is established with the response surface methodology, a three-dimensional surface diagram is drawn and comprehensively analyzed, and following optimal technological conditions are obtained: the extraction time is 60 min, the solid-liquid ratio is 1:30g / ml, and the ethanol content is 80%. The optimization experiment and the data analysis are performed simply and reliably with central composite design and the response surface methodology by the aid of statistical software Design Expert 7.0.0, the process parameters of the total flavonoid extraction of Mingui No.3 are optimized, and a better effect is realized; with the adoption of the method, reference is provided for evaluation of inherent quality of the Mingui No.3, and a foundation is laid for popularization and application of a new variety of angelica sinensis.

The invention discloses an R language-based optimal extraction technology for extracting saponin and total flavonoids in liquorice. A central composite design experiment in a response surface method is adopted, the saponin content and flavone content in liquorice are used as detection indexes, and an entropy weight method in an R language environment is adopted for weight assignment of the two indexes, a BP neural network and genetic algorithm mathematical model is established, and target optimizing is performed for the extraction technology to obtain an optimal extraction technology. The optimal extraction conditions are as follows: the ammonia concentration is 0.62%, the ethanol concentration is 64%, the reflux time is 1.8h, and the liquid-solid ratio is 12:1. Relative error between the comprehensive evaluation predicted value of the model and the average comprehensive evaluation value of a verification experiment is 1.43%, proving relatively good predictability of the neutral network and genetic algorithm. In the invention, the established mathematical model searching for the optimal extraction conditions for extracting saponin and total flavonoids in liquorice is scientific and feasible, and new reference and idea are provided for optimizing multiple targets of the chemical components and even effective substance basis of traditional Chinese medicine.

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 a method for optimizing parameters of a contact line and a pantograph based on sensitivity analysis. According to bow-net contact pressure during running of a high speed train, the existing problem is analyzed, level value design of the parameters is carried out through central composite design, and multi-factor and five-level parameters are obtained; an Spearman rank correlation coefficient method is adopted to compute correlation coefficients between the parameters of the contact line and the pantograph and the contact pressure to judge the correlation; and an Sobol method is adopted to compute sensitivity coefficients of the parameters of the contact line and the pantograph about the contact pressure, judge the impact of the parameters on the contact pressure and determine an optimization order of the parameters when the bow-net parameter optimization is carried out, after each index meets relevant standard requirements, optimization is ended and all bow-net parameter values are output. The method has reasonable optimization, and the parameters of the contact line and the pantograph can be adjusted quickly and reasonably, so that the contact pressure of the parameters of the contact line and the pantograph can be controlled reasonably.

The invention relates to a combustor structure optimization method based on a response surface method. The combustor structure optimization method comprises the following specific steps: (1) determining structural factors, required to be considered, of a combustor, and performing coding conversion on the structural factors; (2) determining a test scheme by adopting CCD (Central Composite Design) method; (3) completing a test according to the CCD-based test scheme; (4) establishing a response surface model, and analyzing a test result; (5) performing ridge analysis, and determining an optimized structure parameter combination. According to the combustor structure optimization method, the test scheme is determined by using the CCD method, and the test result is analyzed by virtue of response surface software, so that the linear term influence and the quadratic term influence on the combustion performance of the combustor caused by all the factors can be determined, the cross term influence of all the factors can also be determined, the optimized structure parameter combination is further determined by the ridge analysis, and a low-nitrogen combustion effect is achieved.

A method for optimizing process parameter of plasma spray welding repair of a product includes such steps as analyzing energy consumption characteristic and process performance of plasma spray weldingprocess to determine target to be optimized, analyzing relationship among specific energy, Vickers hardness and residual stress in plasma spray welding process through experiments using central composite design, and obtaining the process parameter combinations under the optimal conditions of each target ; establishing a regression model was established based on a response surface methodology toperform multi-objective optimization of the process parameters and verify the reliability of the model; considering the actual constraints, obtaining the optimal solution set of the regression model by using non-dominated sorting genetic algorithm. The invention comprehensively considers the energy consumption of the spray welding process and the multi-objective optimization of the repairing parttechnological performance as the optimization objective, and discloses the relationship between the energy efficiency and the repairing part technological performance.

The invention relates to a cladding layer cross section contour curve under broadband laser effect and a modeling method, and a cladding layer cross section contour curvilinear equation is that y=hc-0.5*wc / sin theta+ the square root of [0.5*wc / sin theta)<2>-x<2>], x belongs to [-wc / 2,wc / 2],wherein, y is an ordinate of a coordinate system XOY; X is an abscissa; hc is the height of the cladding layer; wc is the width of the cladding layer; theta is a deposition angle; and the XOY coordinate system takes the bottom center of the cladding layer as a round O, the width direction of the cladding layer as shaft X, the height direction of the cladding layer as the shaft Y; hc, wc and theta are described as the functions of a technological parameter laser power P, a powder layer thickness T and a scan speed V. <{EN2}>The curvilinear equation modeling method comprises the steps of conducting a broadband laser cladding selectivity all factor test to obtain a technological parameter preferable scope; performing central composite design test; intercepting a cladding layer cross section for sampling; plotting the geometric dimension of the cladding layer cross section; establishing a quantification description relation formula of the geometric dimension of the cladding layer cross section and the technological parameter; deriving a contour curvilinear equation of the cladding layer cross section, and verifying the contour curvilinear equation of the cladding layer cross section. <{EN3}>The curve provide data support for the layered slice of a laser cladding application and a locus program; the modeling method is simple; the operability is strong; and the accuracy is high.

The invention discloses a method for preparing cornel marc insoluble dietary fibers. In the method, the marcs obtained after the cornels are juiced are used as a raw material, the chemical method is adopted as the extraction process, the process route is selected by pre-tests, and the central composite design-response surface method is adopted to optimize the process conditions. The method disclosed by the invention is low in cost and easy in operation; and the product prepared by the method is light yellow powder and free of peculiar smell, and is obviously better than the raw marc in aspects of chemical composition and functional characteristics.

The invention discloses a multi-index-based evaluating-optimizing glabrous sarcandra herb preparation technology. The multi-index-based evaluating-optimizing glabrous sarcandra herb preparation technology comprises the following steps of HPLC determination of specified components, process optimization of glabrous sarcandra herb leaves, single factor experimental investigation of glabrous sarcandraherb stems, cutting-preparing design scheme of the glabrous sarcandra herb stems, establishment of an AHP model, a comprehensive scoring method and CCD-RSM optimized glabrous sarcandra herb stem cutting-preparing process and verification test. Through a single-factor test, the comprehensive scores of the content of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, caffeic acid, isofraxidin, astilbin and rosmarinic acid are taken as the evaluation indicators, a central composite design-response surface methodology is used to screen glabrous sarcandra herb softening and cutting-preparing processes, the glabrous sarcandra herb stems and leaves subjected to process optimization by choosing different treatment methods, a multi-index analytic hierarchy process (AHP) is combined with the central composite design-response surface methodology to optimize the glabrous sarcandra herb preparation technology, the study is beneficial to the further development of glabrous sarcandra herb, and an experimental basis is expected to be provided for the establishment of related preparation specifications and quality standards of glabrous sarcandra herb.

The invention particularly relates to a method for optimizing a shake-flask fermentation process for producing high-yield lipopeptide antibiotics by bacillus subtilis T-500, and belongs to the technical field of bacillus subtilis T-500 lipopeptide antibiotic fermentation processes. According to the method, rhizoctonia solani is adopted as an indicator, the lipopeptide antibiotics are extracted on the basis of 10 common fermentation culture media by virtue of an acid precipitation method, the bacteriostatic effect of a T-500 crude extract is analyzed, and fermentation culture medium components with influence on the bacteriostatic effect are screened; fermentation culture medium components and fermentation conditions for production of the high-yield lipopeptide antibiotics by the T-500 are optimized through a Plackett-Burman experimental design, a CCD (central composite design) and a response surface method. According to the method, a technical support and a theoretical guide are provided for industrially producing and obtaining high-yield lipopeptide antibiotic substances by a bacillus subtilis T-500 strain.

The invention provides a design method of a cement stabilized iron tailing sand base course material and relates to a design method of a base course material, aiming at solving the problem that a traditional design method of the cement stabilized iron tailing sand base course material cannot meet the design of the cement stabilized iron tailing sand base course material. The design method comprises the following steps: 1: determining an utilization range of deign parameters; 2: measuring 7-day unconfined compressive strength of each group of test in a central composite design test table; 3: obtaining a ternary quadratic fitting equation; 4: obtaining optimal ranges of fineness modulus of iron tailing sand, utilization amount of the iron tailing sand and utilization amount of a cement binding material; 5: selecting three stone material gradations through single-gear gradation adjustment; 6: selecting a maximal stone material gradation with the 7-day unconfined compressive strength as anoptimal gradation; 7: measuring the optimal moisture content and the maximum dry density of a standard compaction test part under different cement utilization amounts; 8: determining an optimal cement utilization amount; 9: preparing a test part and carrying out freezing resistance identification on the test part. The design method provided by the invention is used for the technical field of roadengineering materials.

The invention provides a harmonic-reducer flexible-wheel structure design and an optimization method. The method comprises the following steps: 1) for the problem of radial warping of wheel teeth of existing harmonic flexible wheels after assembly, carrying out similarity and contradiction analysis to form a plurality of initial design schemes; 2) extracting feature values of all the schemes through an FEM method, and carrying out parsing; and 3) using a response surface method and a CCD (Central Composite Design) optimization algorithm for all-domain solving of an optimal scheme. Through theabove steps, the design provides a new form of a flexible-wheel structure with taper, and the taper x / y is better controlled in a range from 1 / 50 to 1 / 30. The design has important significance in aspects of reducing warping of wheel teeth of flexible wheels, and improving a wheel tooth coincidence degree.

The invention discloses a rotor structure optimization method based on central composite design, which comprises the following steps: 1, determining design variables of the rotor structure optimization, and determining the range and constraint conditions of the design variables; 2. The central composite design model is used to generate N groups of design variables, and the parameterized finite element method is used to compute the N groups of samples, and the maximum equivalent stress value corresponding to the N groups of samples is obtained as the objective function. 3. The least square method is used to fit the second-order polynomial regression model of the design variable and the objective function. 4. The fitting regression model is optimized, the initial point, initial step, acceleration coefficient, shrinkage coefficient and precision are given, the constraint conditions are set, and the axial detection movement and mode movement mode are judged by voting until the convergencecondition is satisfied, and the optimization of rotor structure is completed. The invention can quickly and accurately solve the problem of rotor structure optimization.

The invention discloses a culture medium for Pseudoalteromonas sp.DHQ25 and a preparation method thereof, relates to a culture medium, and provides a culture medium suitable for culturing the Pseudoalteromonas sp.DHQ25 and capable of obviously improving cell density of the Pseudoalteromonas sp.DHQ25, and a preparation method thereof. The culture medium consists of 13 to 13.5g / L of peptone, 4 to 4.5g / L of yeast powder, 0.05 to 0.15g / L of glucose, 20 to 30g / L of NaCl, 0.1 to 0.3g / L of MgSO4.7H2O, 0.4 to 0.6g / L of CaCl2.2H2O, 0.03 to 0.09g / L of KCl, 0.04 to 0.06g / L of K2HPO4, 0.04 to 0.06g / L of KH2PO4, and 0.0015 to 0.0025g / L of Fe2(SO4)3, and distilled water is used for fixing the volume of 1L. The preparation method comprises the following steps of: designing an experiment by using power builder (PB); performing a steepest ascent experiment; and performing a central composite design.

The invention provides a production method for butyric acid through anaerobic fermentation of excess sludge, which belongs to the field of reclamation of solid organic waste. The method comprises the following steps: 1, with excess sludge as a raw material, adjusting mass concentration of the sludge, adding NaOH for treatment, carrying out centrifugation and taking supernatant as a fermentation substrate; and 2, adding a composition of ZnSO4.7H2O, CoCl2.6H2O, CuCl2.2H2O, MnCl2.4H2O and FeSO4.7H2O for anaerobic fermentation so as to obtain butyric acid. The addition amount of the above-mentioned five metal hydrates is set according to the principles of Box-Behnken central composite design in response surface software. According to experimental results, a model equation for production of butyric acid through anaerobic fermentation of excess sludge is established, and an optimal combination condition of the metal hydrates for realization of maximum yield of butyric acid is determined. The addition amount of the metal hydrates is tiny, and the method has the characteristics of low cost, a high conversion rate, a short fermentation period, etc.

The invention discloses a quality statistics-based parameter tuning method for a cut stem drying fluidized bed. The method includes the steps of S100, acquiring temperature samples X1, X2 and X3 of areas of the cut stem drying fluidized bed; S110, optimizing the temperature of each area of the cut stem drying fluidized bed by central composite design in response to water content and filling value; S120, determining an optimal temperature of each area of the cut stem drying fluidized bed; S200, after determining the optimal temperatures, acquiring a cut stem flow sample X4 and cut stem residue sample X5 of the cut stem drying fluidized bed; S210, establishing a fitted curve of each of cut stem flow, cut stem residue and in-compartment negative pressure of the cut stem drying fluidized bed, and determining a numerical range of the in-compartment negative pressure of the cut stem drying fluidized bed; S220, encoding data of the in-compartment negative pressure of the cut stem drying fluidized bed according medians or quartiles; S230, processing a variance of variances of the data of the in-compartment negative pressure of the cut stem drying fluidized bed, and determining an optimal in-compartment negative pressure of the cut stem drying fluidized bed.

The invention discloses a method for optimizing parameters of an angelica sinensis essential oil extracting process based on a response surface methodology. By virtue of a steam distillation method, soaking time, a liquid-solid mass ratio and extracting time, which have relatively great influence on the oil extracting amount, are selected on the basis of a single-factor test for investigation; a quadratic polynomial equation model, which shows a relation between the oil extracting amount and three factors, is established by virtue of the response surface methodology; and a three-dimensional surface figure is drawn and is analyzed comprehensively, so as to obtain optimal technological conditions: the soaking time is 5h, the liquid-solid mass ratio is 12: 1 and the extracting time is 9h. The method provided by the invention, on the basis of central composite design and response surface analysis, can conduct an optimal experiment and data analysis conveniently and reliably by virtue of statistical software Design Expert7.0.0, and the technological parameters of extracting essential oil from 'Mingui No.3' are optimized so as to achieve a relatively good effect. The method provided by the invention provides a reference for evaluating inherent quality of the 'Mingui No.3' and lays a foundation for the popularization and the application of a novel angelica sinensis variety.

The invention belongs to the technical field of equipment corrosion in recycled water reuse and particularly relates to a method for studying disinfected recycled water reuse equipment corrosion influence factors. According to the method, a central composite design and a response surface are used for the first time for studying the corrosion of system equipment by recycled water used as circulating cooling water, relations between the factors influencing the corrosion and actual effects can be expressed visually with the method, the method is different from orthogonal tests, and while a central composite design test method guarantees the remarkable factors, a response surface method is used for visually expressing the influence effect on the corrosion rate between every two factors.

The invention discloses a structural topology optimization design method based on a response surface method. The method comprises the following steps: selecting feature sizes which have relatively large influence on total weight as design variables; determining a test center point required for performing response surface test design by adopting the center combination design; generating a sample point data table for response surface optimization, and performing topological optimization; performing response surface fitting on test results obtained by each group of tests; setting a design variable value combination corresponding to a minimum value point in the fitting results as a new sample point, performing topological optimization on a structure corresponding to the new sample point, and substituting the test results into the test results of the original sample point data table to perform response surface fitting again; and obtaining the plane configuration of the optimal structure until the value of the design variable corresponding to the minimum value point in the response surface fitting result does not change any more or is stabilized in the determined small range, thereby realizing the multi-dimensional optimization design of the structure.

The invention discloses a leech anticoagulation active substance extracting process and an extraction process optimizing method. The leech anticoagulation active substance extracting process comprisesthe following steps: weighing leech powder, adding physiological saline, fully shaking and leaching, shaking from time to time during leaching, centrifuging and placing a supernatant in a test tube,thereby completing extraction, wherein the extraction conditions are that the leaching time is 165 minutes, the solid-liquid ratio is 8 times and the extraction temperature is 70 DEG C, and the solid-liquid ratio is the ratio of leech powder to physiological saline. In the R language environment, a neural network is combined with a genetic algorithm to optimize the leech anticoagulation active substance extracting process and carry out target optimization according to a test result of central composite design in a response surface method, so as to lay the foundation for the research on extraction of active substances of traditional Chinese medicine leech.

The invention discloses a preparation method of a Cornus officinalis fruit slag soluble dietary fiber and drinking water preparing from the Cornus officinalis soluble dietary fiber (CSDF). According to the method, preparation conditions of the CSDF are optimized through a central composite design, so the output and the purity of products are improved, and chemical components and partial functional characteristics of the CSDF are detected. The fibrous drinking water which is prepared from the Cornus officinalis fruit slag soluble dietary fiber has the advantages of good dissolvability and transmittance, no peculiar smell and long storage life.

The invention discloses a milling parameter optimization method suitable for surface machining of a thin-walled workpiece, which comprises the following steps: selecting milling parameters, establishing a factor level table by adopting a central composite design method, and constructing a mathematical model of surface roughness and residual stress; solving the mathematical model by adopting an improved non-dominated sorting genetic algorithm, and selecting an optimal solution by adopting a TOPSIS method based on an absolute ideal point; finally, verifying the effectiveness of the method through experimental processing results. Experiments prove that the relative error between the optimal milling combination solved through the method and the predicted value is small, and the method has certain reference value and social and economic benefits.