1292 results about "Pretreatment method" patented technology

The invention discloses a water quality prediction method based on machine learning and an SWAT model, and belongs to the technical field of water environment simulation and water quality early warning. The method comprises the steps that S1, hydrology, water quality, meteorology, land utilization types, pollution sources and spatial elevation multi-temporal data are collected from multiple channels in a drainage basin, and noise reduction, normalization and missing value filling preprocessing methods are adopted for original data; s2, performing sensitivity analysis on the nonlinear relationship between the SWAT model parameters and the output by adopting SVR, and screening out key parameters with remarkable influence; s3, on the basis of the water quality monitoring data, constructing a water quality time sequence prediction model by adopting an LSTM model; and S4, constructing a self-learning mechanism based on the LSTM and the SVR model, and retraining the model by adjusting a learning time window and regularly utilizing latest data. The method is excellent in the aspects of model efficiency, prediction precision and application adaptability, and has remarkable engineering application value and popularization potential.

The present invention provides a method for preprocessing vibration signals of a hydropower unit. The present invention proposes five strategies to improve the optimization accuracy of a dung beetle algorithm so that it has good robustness. The improved dung beetle algorithm MSIDBO jumps out of the local optimum through PWLCM chaotic mapping, nonlinear boundary convergence factor, rolling ball behavior integrating dynamic golden sine, sparrow alert mechanism and parameter adaptive adjustment to improve the accuracy of the optimization problem. With the minimum envelope entropy as the fitness function, MSIDBO is used to optimize parameters such as the white noise amplitude weight Nstd and the number of noise additions NE of ICEEMDAN, and the optimized ICEEMDAN is used to perform modal decomposition of the vibration signal of the hydropower unit. The MSIDBO algorithm has a faster convergence speed, higher solution accuracy and better applicability than the standard dung beetle algorithm. Through simulation signal analysis, it is concluded that the decomposition accuracy of the optimized ICEEMDAN is higher than that of the conventional decomposition algorithm, which improves the accuracy of the preprocessing of the vibration signal of the hydropower unit and provides a basis for the intelligent vibration monitoring and diagnosis of the hydropower unit.

The invention relates to a focused ion beam ultrathin section sample preparation pretreatment method for a wafer sample, and belongs to the technical field of wafer material microscopic experiments. The wafer sample preparation pretreatment method provided by the invention comprises the following steps: (1) depositing a metal oxide on the surface of a wafer sample by adopting an atomic layer deposition technology to obtain an ALD layer; (2) coating a curing glue solution on the surface of the ALD layer, and curing to obtain a curing glue layer; and (3) plating a conductive protection layer on the surface of the cured adhesive layer to finish sample preparation pretreatment. The sample preparation pretreatment method disclosed by the invention can well solve the problems of irradiation damage and deformation of a fine structure which is not resistant to electron beam irradiation, curtain effect in a cutting process, unobvious structural boundary in a shooting process and the like in focused ion beam ultrathin section sample preparation, and has good application prospects in the technical field of wafer material microscopic experiments. And the practical value is very high.

The invention discloses a chicken manure crude protein content detection model construction method, a chicken manure crude protein content detection system and a detection method, relates to the technical field of bioinformatics, solves the problems of high cost, serious pollution and low efficiency of an existing chicken manure crude protein content detection technology, and improves the accuracy of chicken manure resource application. The obtained sample set comprises visible-near infrared reflection spectrum and crude protein content of the chicken manure; carrying out pretreatment on the visible-near infrared reflection spectrum by adopting a plurality of pretreatment methods; screening out an optimal preprocessing method and a corresponding preprocessing spectrum by using a partial least square regression model; obtaining a characteristic wave band by using a plurality of characteristic selection methods; and based on the crude protein content and the characteristic wave band, constructing and screening an optimal chicken manure crude protein content detection model. The method provided by the invention is suitable for detecting the content of crude proteins in chicken manure by using manure resources.

The invention relates to the technical field of low-temperature studs and bolts, and discloses a low-temperature stud steel hardenability optimization treatment method which comprises the steps of S1, a pretreatment method, S2, quenching method optimization, S3, tempering method optimization, S4, a post-treatment method and S5, a performance verification method. According to the method, the low-temperature impact stability is remarkably improved, the low-temperature impact energy of the material at about-100 DEG C can stably reach 35 J or above by accurately controlling the proportion of alloy elements and optimizing the heat treatment process (for example, the tempering temperature is increased to 640 DEG C or above and the heat preservation time is prolonged), the low-temperature impact energy is improved by about 20%-30% compared with a traditional process, and the problem that the low-temperature impact performance of the wire rod fluctuates is thoroughly solved; and the service safety in a low-temperature environment is ensured.

The invention discloses a chicken manure crude protein content detection model construction method, a chicken manure crude protein content detection system and a detection method, relates to the technical field of bioinformatics, and solves the problems that an existing chicken manure crude protein content detection technology is serious in pollution in the detection process, and a spectral analysis technology is serious in information redundancy during detection, high in cost and poor in model stability. The sample set comprises visible-near infrared reflection spectrum and crude protein content of chicken manure; obtaining three spectral indexes corresponding to the visible-near infrared reflection spectrum, the MSC pretreatment spectrum and the SNV pretreatment spectrum, and screening out the optimal wavelength position and the corresponding three spectral indexes; constructing a data set by using the three spectral indexes and the crude protein content, and performing fitting through multiple fitting modes; evaluating the plurality of fitting equations, and screening out an optimal fitting equation and a corresponding pretreatment method and wavelength position as a chicken manure crude protein content detection model. The method provided by the invention is suitable for detecting the content of crude proteins in chicken manure by using manure resources.

The invention discloses a topological optimization design-oriented additive manufacturing path pretreatment method, system and equipment and a medium, and the method comprises the following steps: in a topological optimization process, carrying out the synchronous optimization of unit density and unit angle, and outputting an optimization result which comprises an optimal topological structure diagram and the density and angle of each discrete unit; processing the obtained discrete angle result by adopting a K-means clustering algorithm, dividing a plurality of regions, and obtaining a boundary of each region; for a zigzag boundary caused by grid division in the optimal topological grid chart, performing smoothing processing on the boundary by adopting an NURBS curved surface fitting technology; and combining the smoothed boundary line with the region boundary obtained by K-means clustering to generate a boundary line of each region, and filling each region with a straight line of a corresponding angle to generate a corresponding Gcode. According to the method, the consistency of the optimization result and the additive manufacturing process is realized.

The invention belongs to the technical field of materials, and particularly relates to a carbon fiber pretreatment method, a carbon fiber pretreatment product and application of a fully-wound gas cylinder. According to the technical scheme, the carbon fibers are subjected to pretreatment and plasma treatment, the surface activity of the carbon fibers is remarkably enhanced, and the interface bonding force between the carbon fibers and a resin matrix is improved by 30%-50%. The durability of the gas cylinder sample in a fatigue test is improved by more than 20%, and the phenomena of interface stripping and layering are avoided. And according to the requirements of the actual application environment, the technical scheme can flexibly adjust parameters such as treatment gas, time and power, and the optimal performance is realized.

The invention discloses an intelligent carbon anode quality detection system, particularly relates to the field of electrolytic aluminum, and comprises a data acquisition module, a data preprocessing module, a data analysis module and a comprehensive judgment module. According to the method, a full-process data acquisition system covering raw materials, forming, roasting and appearance is constructed, accurate acquisition of multi-source data is realized by using equipment such as an X-ray fluorescence spectrometer and a hydraulic sensor, the problem of dispersion of traditional detection data is solved, and the detection accuracy of the multi-source data is improved through multi-stage pretreatment methods such as outlier elimination, sliding window filtering, temperature compensation and wavelet noise reduction. Dimension difference and sensor noise interference are effectively eliminated, and data reliability is improved. A multi-level evaluation model composed of a raw material comprehensive index, forming energy density, roasting maturity and appearance integrity is innovatively established, and intelligent comprehensive evaluation and accurate grading management and control of the carbon anode quality are achieved in combination with a dynamic weighting comprehensive quality index formula and a four-level grading mechanism.

The invention discloses a pretreatment method for determining perfluorinated and polyfluoroalkyl compounds in edible oil. The pretreatment method comprises the following steps: (1) extraction: weighing the edible oil, adding an isotope labeled standard substance, centrifugally extracting PFAS (perfluoroalkyl) in a shaking table, adding desalted water to accelerate lipid sedimentation, and performing refrigerated centrifugation to obtain an extracting solution; (2) enriching and purifying, namely enriching and purifying the extracting solution by using a method of combining liquid-liquid extraction and solid-phase extraction, freezing and centrifuging, and collecting supernate after nitrogen blowing to a constant volume. According to the pretreatment method disclosed by the invention, aiming at the characteristic that the edible oil is rich in protein and lipid content, a liquid-liquid extraction and solid-phase extraction combined method is selected to remove impurities such as protein, lipid and pigment, so that separation and purification of PFAS are realized, and the sample requirements of subsequent LC-MS / MS analysis are met. According to the pretreatment method, the sample amount is increased, the final constant volume is reduced, the detection limit of the method is reduced, the sample treatment speed is increased, rapid analysis can be carried out, and the stability is good.

The invention relates to the technical field of preparation of solid-phase microextraction devices, and particularly discloses a pretreatment method and analysis application of a quinolone antibiotic sample, a conjugated microporous polymer (CMP) is successfully prepared by adopting a SonogashiraHagihara cross-coupling reaction, and a cationic conjugated microporous polymer CMP-I is obtained by further carrying out methylation treatment on the CMP by using CH3I. According to the present invention, the cationic CMP-I is adopted as the solid phase extraction adsorption material to construct the solid phase microextraction-liquid chromatography-tandem mass spectrometry (SPE-LC-MS / MS) analysis method, and the method has characteristics of high sensitivity and low detection limit in the QA detection aspect, and can meet the accurate determination requirement of the trace QA in meat and water.

The invention provides a pretreatment method of a fluorine-containing sample for determining fluorine content by an ion selective electrode method, and belongs to the technical field of fluorine content detection. The pretreatment method provided by the invention comprises the following steps: mixing a fluorine-containing sample, absolute ethyl alcohol and an alkali reagent, and carrying out heat treatment to obtain a heat-treated sample; the heat treatment comprises first heat treatment and second heat treatment which are sequentially carried out; the temperature of the first heat treatment is 150-170 DEG C; the temperature of the second heat treatment is 650-750 DEG C; and leaching the heat-treated sample with water, and fixing the volume of the obtained leachate to obtain the fluorine-containing sample to be detected. According to the method, the fluorine-containing sample can be prevented from splashing during alkali fusion, the safety is good, the problem that the fluorine content of the fluorine-containing sample is low in the ion selective electrode method detection process is solved, and meanwhile, the time consumption is short, the efficiency is high, and the cost is low.

The invention relates to the technical field of manure treatment, and discloses a breeding manure pretreatment and separation device and a pretreatment method thereof.The breeding manure pretreatment and separation device comprises an extrusion mechanism, the extrusion mechanism further comprises a shell, the top of the shell is fixedly connected with a top plate, the side, away from the top plate, of the shell is fixedly connected with a bottom plate, and the bottom of the bottom plate is fixedly connected with a discharging pipe; liquid in the feces flows out through a plurality of through holes by squeezing the feces, solids in the feces are left between two squeezing plates, when the two squeezing plates get close to each other to squeeze the feces, the feces are squeezed to move upwards, and at the moment, the squeezing plates drive fixing blocks to move in the direction of a feeding pipe to force a sliding plate to slide in a first movable groove; and then gas in a first movable groove is extruded to enable a telescopic pipe to expand, a first arc-shaped sliding block and a second arc-shaped sliding block are driven to move downwards, downward pressure is applied to the top of the feces, and liquid in the feces can be more effectively separated from the feces in combination with extrusion of an extrusion plate on the two sides of the feces.

The invention belongs to the technical field of ship and ocean engineering, and discloses a ship motion intelligent forecasting method and system integrated with system state estimation, and the method comprises the steps: segmenting the time calendar data of the motion of a certain degree of freedom of a ship and the corresponding wave time calendar data, and obtaining a training set and a test set of time calendar forecasting; the optimal lag order # imgabs0 # is obtained through wave-ship motion system lag order analysis, a training set is divided through a sliding window according to the optimal lag order # imgabs1 #, and an ANN forecasting model is constructed according to the obtained data set; and obtaining a ship motion forecasting result according to the constructed ANN forecasting model. According to the method, wave-ship motion lag order calculation is integrated into an intelligent model ANN pretreatment method from the time sequence analysis theory, the mapping relation of the ANN model for capturing wave excitation and motion response is improved, great help is provided for the model to learn the mapping relation between the wave time calendar and the motion time calendar, and the method can be applied to the intelligent model ANN pretreatment method. And the intelligent forecasting precision of the ship motion is greatly improved.

The invention relates to the technical field of wastewater treatment, in particular to an automatic pretreatment method and system.The method comprises the steps that firstly, according to the pH value of the current hour and related index data, the pH value of the next hour is predicted, and an initial pH predicted value is obtained; then analyzing the change similarity of the pH value in the known time period of the today and the corresponding time period of any historical day, and correcting the initial predicted pH value once to obtain a corrected predicted pH value; performing secondary correction on the pH correction predicted value by analyzing the influence of the adjacent filter grids on the change of the pH value of the wastewater in the current filter grid to obtain a pH predicted value; and finally, according to the pH predicted value, an agent is put into each filtering grid through an automatic agent adding system. According to the method and the system, the future pH value is predicted, so that the timeliness of pH regulation and control is improved, and the wastewater treatment effect is ensured.

The invention discloses movable ore extraction equipment with a dust falling function, and relates to the technical field of plate type ore extraction, the movable ore extraction equipment comprises a heading machine body, a driving mechanism is mounted on one side of the heading machine body, and a cutting head is fixedly connected to one side of the driving mechanism. The pretreatment device is arranged, a first motor reversely runs, a percussion drill body is far away from ore, at the moment, an expansion cracking device body begins to move towards the direction of the ore, after the expansion cracking device body reaches a designated position, a corresponding hydraulic cylinder is started, the expansion cracking device body is pushed to go deep into a drill hole, then the expansion cracking device body is started, cracks in the ore are expanded through hydraulic pressure, and thus the ore is fractured. And after expansion cracking is completed, the first motor is started again, so that the expansion cracking device body is reset to the initial position, the pretreatment mode effectively reduces the strength of ore, the follow-up operation of the cutting head is smoother, the overall working efficiency of mining equipment is improved, meanwhile, the abrasion of the cutting head is reduced, and the service life of the cutting head is prolonged.

The invention discloses a pretreatment method for efficiently extracting calcium in shrimp and crab shells. The pretreatment method comprises the following steps: carrying out microwave treatment on the shrimp and crab shells until the weight is constant, rehydrating for 10 minutes in a water bath at 90 DEG C, carrying out microwave treatment until the weight is constant, crushing, mixing with an acetic acid solution, stirring, centrifuging, and measuring the calcium concentration. According to the method, through microwave-rehydration-secondary microwave pretreatment, the carapace structure is destroyed, the contact area of organic acid and calcium is increased, the calcium recovery rate is increased, the treatment time is shortened, the energy consumption is reduced, the universality of raw materials is enhanced, comprehensive utilization of resources is facilitated, and the method is environmentally friendly and economical.

The invention provides anhydrous magnesium chloride and a preparation method thereof, and the preparation method comprises the following steps: mixing MgCl2. NH2O and ammonium chloride, carrying out ball milling, tabletting and granulating the mixed material, and heating and sintering the obtained flaky particles to obtain the anhydrous magnesium chloride, wherein n is an integer, and 0 < n < = 6. The water-containing magnesium chloride and the ammonium chloride can form an alternately coated sandwich structure through the pretreatment modes of ball milling and tabletting granulation, so that hydrogen chloride gas and ammonia gas generated during heating decomposition are diffused from the inside of the flaky particles to the outside, and meanwhile, the water-containing magnesium chloride in the particles can be fully exposed in a hydrogen chloride atmosphere; mgO generated in the sintering process is reduced; according to the tabletting and granulating method, large pores can exist among the flaky particles, generated water molecules can be taken away from a heating system from the pores existing among the flaky particles along with gas circulation in the heating and sintering process, and dehydration is better achieved. Meanwhile, the method is more beneficial to model selection of dehydration equipment.

The invention belongs to the technical field of hydrometallurgy, and particularly relates to a pretreatment method for improving the leaching rate and the carbon adsorption rate of high-sulfur-arsenic gold ore. Comprising the following steps that the high-sulfur-arsenic gold ore is ground and then prepared into ore pulp; a green oxygen activating agent and hydrogen peroxide are sequentially added into the ore pulp, oxidation pretreatment is conducted on the high-sulfur-arsenic gold ore, ore pulp activating liquid is formed, and the green oxygen activating agent is a mixture of calcium oxide, sodium persulfate and soluble bivalent iron salt; and adding a gold leaching agent into the ore pulp activation solution, adjusting the pH value of the ore pulp to 9-12, carrying out stirring gold leaching treatment, filtering to obtain a leaching solution, and then adding activated carbon to adsorb and extract gold. According to the method, a stronger oxidation environment is provided, meanwhile, the residual concentration of arsenate radicals in the solution is effectively reduced, the leaching rate of gold and the adsorption rate of activated carbon are greatly increased, excellent oxidation performance and environment friendliness are shown, and a more sustainable high-sulfur-arsenic gold ore pretreatment process is provided.

This invention discloses a spectral preprocessing method and related equipment for online coal quality detection using multispectral coupling. The method includes: simultaneously acquiring LIBS and NIRS spectra of raw coal using an online coal quality detection device; screening the effectiveness of the synchronized LIBS and NIRS spectra; identifying the defocusing amount of each set of synchronized LIBS and NIRS spectra and assigning a corresponding defocusing amount label to each set of spectra; correcting the defocused spectra according to the defocusing amount label using a spectral correction method to obtain corrected LIBS and NIRS spectra, and then fusing them to obtain a corrected fused spectrum; analyzing the LIBS spectrum, NIRS spectrum, and fused spectrum using quantitative analysis methods, and calculating the fixed carbon content. This invention's LIBS and NIRS spectral fusion overcomes the limitation of a single spectrum only characterizing atomic or molecular information, enabling a complete characterization of the chemical information of the coal sample and achieving simultaneous and accurate analysis of multiple coal quality indicators.

The invention belongs to the technical field of quality control of traditional Chinese medicines, and particularly relates to an establishment method of an HPLC (High Performance Liquid Chromatography) fingerprint spectrum of a kidney-tonifying and liver-nourishing mixture and a multi-index component content determination method. The establishment method of the fingerprint spectrum comprises the following steps: mixing the kidney-tonifying and liver-nourishing mixture and a methanol aqueous solution, carrying out ultrasonic treatment, carrying out HPLC detection on an obtained test solution and a mixed reference substance solution, and introducing an obtained chromatogram into fingerprint spectrum software for treatment, so as to obtain the HPLC fingerprint spectrum of the kidney-tonifying and liver-nourishing mixture. The pretreatment method disclosed by the invention is simple, the characteristic components are completely reserved, and the high performance liquid chromatography is adopted, so that the precision is high, the reproducibility is good, and the stability is good; according to the fingerprint spectrum obtained by the invention, 15 common peaks are determined, the quality of the kidney-tonifying and liver-nourishing mixture can be effectively monitored, and a guarantee is provided for comprehensive and effective control of the quality of the kidney-tonifying and liver-nourishing mixture.

The invention discloses a pretreatment method and system for sulfur-containing and arsenic-containing ore. The method comprises the steps of crushing, alkaline wet ore grinding, strong alkaline pre-oxidation, cyanidation leaching, cyanogen removal treatment and high alkaline flotation. In the pretreatment process, liquid caustic soda is added into an ore grinding system, and oxygen is introduced into a cyanidation serial stirring tank for pre-oxidation treatment, so that the oxidation activation effect of the arsenic-sulfur minerals is remarkably enhanced, and the gold release efficiency and the cyanidation leaching rate are improved. The same group of serially connected stirring tanks is adopted for pre-oxidation and cyanidation leaching, and the first three stirring tanks are used for pre-oxidation and subsequently communicated with the stirring tanks for cyanidation reaction, so that process integration and equipment reuse are realized. Experimental results show that the comprehensive recovery rate of gold can be remarkably increased, the agent consumption can be reduced, and the method has good industrial application value.

The invention discloses a fly ash pretreatment method and a preparation method and application of an anti-corrosion and wear-resistant coating, and relates to the technical field of fly ash treatment, and the method comprises the following steps: s1, dispersing inferior fly ash in water, and then uniformly stirring to form ore pulp; s2, an emulsifying agent is dissolved in water, a collecting agent is added under stirring, and then an O / W type emulsifying collecting agent is obtained; s3, the prepared O / W type emulsifying collecting agent and foaming agent are added into the ore pulp, first-stage flotation solid removal treatment is conducted after sufficient stirring, and first-stage solid-removed fly ash is obtained; s4, drying the obtained first-stage solid-removed fly ash, and then carrying out second-stage electric separation solid-removed treatment to obtain second-stage solid-removed fly ash; and s5, adding a modifier and water into the obtained secondary solid-removed fly ash, carrying out wet grinding, taking out the fly ash after the modifier fully reacts with the fly ash, taking out the fly ash, drying the fly ash, and carrying out dry grinding to obtain the fly ash subjected to chambering modification. Therefore, the problem of incapability of direct resource utilization due to excessive impurity content of fly ash in the power plant in the prior art is avoided.

The invention mainly relates to the technical field of underground engineering safety, and provides a tunnel rockburst pretreatment method and system based on multi-physics field parameters while drilling in order to improve the rockburst risk recognition and pressure relief effect through the multi-physics field parameters in the deep hard rock tunnel drilling process. The core of the method is that a surrounding rock three-dimensional geologic model is established based on multi-source physical field parameters in the surrounding rock while-drilling process; establishing a rockburst risk index prediction model of the surrounding rock three-dimensional geologic model based on an improved D-S evidence theory to calculate a rockburst risk index; and determining simulated pressure relief parameters according to the rockburst risk indexes, performing simulated pressure relief, judging whether the change rate of the multi-source physical field parameters meets the set requirements or not, if so, performing pressure relief according to the simulated pressure relief parameters, otherwise, re-determining the pressure relief parameters, and performing pressure relief until the change rate of the multi-source physical field parameters meets the set requirements.

The invention belongs to the technical field of hydrometallurgy, and particularly relates to a pretreatment method for enhancing peroxide to improve the leaching rate of high-sulfur-arsenic gold ore. Comprising the following steps that the high-sulfur-arsenic gold ore is ground and then prepared into ore pulp; an oxidizing agent is added into the ore pulp, oxidation pretreatment is conducted on the high-sulfur-arsenic gold ore under the catalytic action of ultraviolet light, and ore pulp activation liquid is formed; and the pH of the ore pulp activating solution is adjusted to 9-12, a gold leaching agent is added into the ore pulp complexing solution, and stirring gold leaching treatment is conducted. According to the method, efficient oxidation of sulfide and arsenide is achieved under the mild condition through the synergistic effect of photocatalysis and chemical oxidation, the leaching rate of gold is remarkably increased, compared with a conventional peroxide oxidation method for pretreatment, the leaching rate can be increased by 10%-35%, and meanwhile the agent use amount and environmental pollution are reduced.

A method for pretreating lignocellulose is provided, which is to add ethylenediamine and sodium carbonate solution to straw and pretreat at 75-85°C for 2-6 hours. The invention belongs to a raw material cellulose separation technology, which promotes efficient degradation of lignin in the straw by pretreating the straw at medium temperature and normal pressure with ethylenediamine and sodium carbonate, effectively separates cellulose from the raw material, increases the accessibility of cellulose to cellulase, hemicellulase, etc., thereby improving the enzymatic hydrolysis efficiency of the straw, and the glucose yield is increased to 92.57%. In addition, the pretreatment is carried out at medium temperature and normal pressure, which reduces environmental pollution, reduces processing energy consumption, and simplifies processing steps.

The invention belongs to the technical field of quality control of traditional Chinese medicines, and particularly relates to a method for establishing a fingerprint spectrum of kidney-tonifying and anti-aging tablets. The establishment method of the fingerprint spectrum of the kidney-tonifying anti-aging tablet comprises the following steps: mixing the kidney-tonifying anti-aging tablet and a methanol aqueous solution, and carrying out ultrasonic treatment to obtain a test solution; reference substances in the mixed reference substance solution comprise ferulic acid, hyperoside, quercitrin, hesperidin, rosmarinic acid and salvianolic acid B; and respectively carrying out UHPLC detection on the test solution and the mixed reference substance solution, and introducing obtained chromatograms into fingerprint spectrum software for processing to obtain the fingerprint spectrum of the kidney-tonifying and anti-aging tablets. The pretreatment method is simple, and the characteristic components of the kidney-tonifying and anti-aging tablet are completely reserved; the ultra-high performance liquid chromatography is adopted, so that the precision is high, the reproducibility is good, and the stability is good; according to the fingerprint spectrum obtained by the invention, 15 common peaks are determined, so that the overall characteristics of the kidney-tonifying and anti-aging tablet can be reflected, and the quality of the kidney-tonifying and anti-aging tablet can be effectively monitored.

The invention belongs to the technical field of electro-catalysis, and discloses a red mud pretreatment method and application thereof.The red mud pretreatment method comprises the steps that industrial waste red mud generated in the aluminum smelting industry is recycled, subjected to high-speed centrifugation, washed to be neutral in a graded mode, filtered, dried and ground into powder, and a working electrode is prepared; through a pre-reduction step, a certain potential is applied to carry out electrochemical in-situ reconstruction on a working electrode. The surface part Fe < 3 + > is reconstructed into high-activity Fe < 0 > through a pre-reduction step. The red mud is used as the electrocatalyst to be applied to the nitrate reduction reaction, the catalytic performance is good, the ammonia production performance is excellent, and meanwhile the method can be applied to treatment of industrial flue gas and industrial wastewater.

The invention relates to a stirring friction pretreatment method for an aluminum alloy diffusion welding grain refinement surface, which comprises the following steps: starting from edge lines of a pair of to-be-welded surfaces of an aluminum alloy to-be-welded part, respectively carrying out multi-pass continuous equidistant stirring friction processing on the pair of to-be-welded surfaces, and ensuring that the translation overlapping rate of a stirring needle track between passes is 25-50%; during friction stir processing, water is continuously added for cooling, so that a spiral deformed fine grain layer with the grain size of 50-80 microns and the thickness of 1-2 mm is generated on a pair of to-be-welded surfaces at the position of a columnar stirring needle; and milling the pair of surfaces to be welded after the stirring friction processing is completed until the roughness is Ra 0.1-Ra 0.3, so as to obtain the aluminum alloy diffusion welding grain refinement surface. Compared with a welding seam obtained through a direct diffusion welding method, the welding seam obtained through the method has the higher welding rate and the higher strength, a new thought is provided for production and manufacturing of aluminum alloy, and the method has important significance in improving performance indexes and enhancing service reliability.

The invention provides a method for improving the interface performance of an aramid fiber laminate composite material through high-temperature pretreatment and a preparation process of the aramid fiber laminate composite material, and relates to the field of performance improvement of composite materials. Comprising the following steps: S1, heating aramid fibers at 150-300 DEG C for 3-15 minutes, and immediately taking out the aramid fibers; s2, fully and uniformly coating epoxy resin on the aramid fiber obtained in the step S1; and S3, carrying out molding treatment on the aramid fiber obtained in S2 to obtain the aramid fiber composite material with improved interface performance. The simple high-temperature pretreatment method is adopted, the number of polar functional groups on the surface of the aramid fiber is increased, the resin impregnation degree of the aramid fiber and the bonding performance between fiber-resin interfaces are improved, and the interlaminar shear strength of the composite material is greatly improved.