113results about How to "Optimizing Process Parameters" patented technology

The invention provides a production process optimization method of a surfactant, and relates to the technical field of surfactants, and the production process optimization method comprises the following steps: collecting historical production data of the surfactant; constructing a production process prediction model; performing performance prediction on the initial process parameters, and comparing the initial process parameters with a target performance value; when the predicted performance difference value is larger than a preset performance difference threshold value, technological parameter optimization is executed; producing a surfactant sample by adopting the optimized process parameters, obtaining an actual performance value of the sample, and comparing the actual performance value with a target performance value; when the sample performance difference value is smaller than or equal to a preset performance difference threshold value, the optimized process parameters serve as execution process parameters for machining. By means of the method and device, the technical problem that in the prior art, due to the fact that the influence of technological parameter changes on the product performance is large, the production efficiency of the surfactant is low can be solved, the prediction model is constructed through historical data, the technological parameters are optimized, and the production efficiency and the product quality of the surfactant are improved.

The invention relates to the technical field of ring piece rolling, and discloses a large special-shaped ring piece rolling forming process analysis method which comprises the following steps: (1) forge piece and blank design: designing different types of blanks; (2) material characteristic modeling: establishing a material model meeting rolling conditions; (3) finite element model establishment: establishing a geometric model of a rolling process by utilizing finite element analysis software; (4) rolling process scheme design: designing a plurality of rolling process schemes; (5) process simulation and defect prediction: analyzing strain, stress, temperature field and metal flow conditions in the simulated rolling process, and analyzing defect generation conditions; and (6) real-time monitoring and feedback control: monitoring changes of stress, strain and temperature in real time, and automatically adjusting process parameters. And through dynamic material characteristic modeling, a self-adaptive grid division technology and multi-physical field coupling analysis, the analysis accuracy of the rolling process is improved, so that defect prediction is more accurate, and the quality of finished products is improved.

The invention belongs to the field of emitters, and discloses a large aerospace component hot working quality and energy consumption cooperative control method and system, and the method comprises the steps: collecting data to form an equipment energy consumption feature data set; setting a plurality of groups of multi-pass process parameters, performing simulation calculation to obtain corresponding quality data, and forming a quality feature data set; respectively inputting the energy consumption characteristic data set and the quality characteristic data set into a to-be-trained adaptive fuzzy neural network for training until the trained model converges, and obtaining an energy consumption prediction model and a quality prediction model; respectively inputting the data into the two models, and predicting a standard value of energy consumption required by a processing component to obtain a quality prediction value of a hot processing component product; and the particle swarm optimization is used for adjusting and optimizing the process of the subsequent process, so that the cooperative control of the quality and energy consumption of the hot-working component is realized. By means of the method, flexible control over the whole forging process of the large aerospace component can be achieved, the product quality and energy consumption are stabilized, and the production benefits of factories are improved.

The invention discloses a molten pool dynamics prediction method in an aluminum alloy laser welding process, which comprises the following steps of: S1, establishing a physical model in a swinging laser welding process, and establishing three control equations to obtain mass, momentum and energy source items to be solved; s2, establishing a multi-reflection model of a laser beam on a gas-liquid interface, and simulating quality and energy source items generated in processing reflection; s3, establishing an evaporation-condensation model, and simulating an energy source item caused by phase change; s4, capturing and reconstructing a gas-liquid interface by adopting THINC-LS, and coupling the source items into a control equation; and S5, a gas-liquid two-phase fluid grid model is constructed and divided, and a control equation is discretized and iteratively solved. According to the method, reasonable physical and mathematical models are constructed, numerical simulation is conducted on molten pool dynamics in the laser beam vibration-assisted laser welding process, heat transfer and flow behaviors of a welding molten pool are accurately reproduced, the mechanism and the influence rule of light beam swing parameters are disclosed, and therefore quantitative prediction of welding joint forming is achieved.

The invention discloses a method for optimizing ion implantation process parameters of an integrated circuit, which comprises the following steps of: simulating a front-end process of a CMOS (Complementary Metal Oxide Semiconductor) device by utilizing Sensor Process of Sensor TCAD (Technology Computer Aided Design) software, and changing process parameters in a Halo ion implantation step to obtain a simulated CMOS device; then, carrying out numerical solution on the electrical property of the simulation CMOS device by utilizing a Sensor Device in the software, so as to obtain electrical data; and training, verifying and testing the residual neural network model by using the process parameters and the electrical data, optimizing parameters of the residual neural network model, and finally obtaining optimized process parameters. The method not only improves the optimization efficiency and precision of the ion implantation process parameters, but also realizes the automation and intelligence of process optimization through the combination of the deep learning algorithm and the TCAD simulation technology.

The invention discloses a magnetorheological polishing processing method for a NiP modified reflector, which comprises the following steps of: preparing a NiP modified layer, and carrying out ultra-precision turning processing and magnetorheological polishing modification processing on the NiP modified layer until the NiP modified layer meets index requirements. According to the magnetorheological polishing machining method for the NiP modified reflecting mirror, the NiP modified reflecting mirror blank workpiece is machined through ultra-precision turning and magnetorheological polishing, so that surface defects generated in the machining process of the NiP modified reflecting mirror blank workpiece can be effectively eliminated, and the machining efficiency can be improved; meanwhile, the surface shape precision and the surface quality of machining can be improved, the NiP modified reflector blank workpiece can be machined into the high-quality NiP modified reflector, and the method has the advantages of being few in machining defect, high in machining quality, high in machining efficiency, good in repeatability and the like; the method is of great significance in promoting wide application of the NiP modified reflector in the optical fields of visible light wave bands, shorter wavelength wave bands and the like.

The invention discloses a thin-wall part mirror image milling machining process parameter optimization method and a related device, and relates to the technical field of thin-wall part mirror image milling machining. The multi-objective optimization model takes maximization of the material removal rate and minimization of the surface roughness as optimization objectives, and takes milling force constraint, supporting force constraint, thin-walled workpiece mirror image milling chatter stability domain constraint and machining deformation constraint as constraint conditions, optimization solution is carried out on the multi-objective optimization model, optimal process parameters are obtained, and the optimal process parameters are obtained. Due to the fact that the modal parameter time varying is considered in the thin-wall part mirror image milling chatter stability domain constraint in the multi-objective optimization model, the influence of the modal parameter time varying on the thin-wall part mirror image milling machining process parameters can be considered, the thin-wall part mirror image milling machining process parameters are optimized better, practicability is high, and the method is suitable for large-scale popularization and application. And an actual machining production process of a thin-wall part mirror image milling machining technology can be guided.

The invention discloses a super-smooth polishing processing method for a NiP modified reflector, which comprises the following steps: preparing a NiP modified layer, and carrying out ultra-precision turning processing and super-smooth polishing processing on the NiP modified layer until the NiP modified layer meets the index requirements. According to the machining method, the NiP modified reflector blank workpiece is machined through ultra-precision turning and ultra-smooth polishing, surface defects generated in the machining process of the NiP modified reflector blank workpiece can be effectively eliminated, the machining efficiency can be improved, meanwhile, medium-high frequency errors on the surface of the reflector can be effectively restrained, and the machining precision of the NiP modified reflector blank workpiece is improved. According to the NiP modified reflector processing method, the surface shape precision and the surface quality of processing can be remarkably improved, the NiP modified reflector blank workpiece can be processed into the NiP modified reflector with higher quality, and the NiP modified reflector processing method has the advantages of few processing defects, high processing quality, high processing efficiency, good repeatability and the like, and has important significance in promoting wide application of the NiP modified reflector in the short-wavelength optical field.

The invention belongs to the technical field of medicines, and relates to a homogeneous polysaccharide with immunoregulatory activity and a preparation method and application thereof. The homogeneous polysaccharide FPS1-2 with immunoregulation activity is extracted and can recover the body weight of immunocompromised mice, increase spleen indexes and thymus indexes, improve spleen lesion conditions, promote proliferation of CD4 + T cells and release of related cell factors, recover metabolites such as short-chain fatty acids in intestinal tracts and improve the immune regulation activity of the mice. The flora type in the intestinal microbiota is improved. Therefore, the homogeneous polysaccharide has a good application prospect in preparation of functional food for enhancing immunity or medicines for treating immunosuppression.

The invention relates to the technical field of additive manufacturing and simulation, and provides a parameter prediction method and system in the powder melting and solidification process of a laser bed. According to the method, based on an established mesoscopic-scale molten pool kinetic model in the powder melting process, temperature field data of a mesoscopic molten pool and unit grid point thermodynamic data of the edge of the mesoscopic molten pool are extracted; coupling the temperature field data with a pre-established heat flow coupling model of the molded part in a macroscopic scale; establishing a dendritic crystal growth model of a microscopic scale in a solidification process based on a phase field method, and coupling the dendritic crystal growth model with thermodynamic data of unit grid points; based on the molten pool kinetic model, the heat flow coupling model and the dendritic crystal growth model, a simulation data set of a formed part corresponding to powder melting is obtained; and finally, according to the simulation data set, training, optimizing and evaluating a parameter prediction model constructed based on the MLP neural network so as to predict the residual stress and yield strength of the formed part under different process parameter combinations.

The invention relates to the technical field of micron-sized jet flow and uniform atomization, in particular to a monodisperse uniform fog drop device and an atomization spray head spray hole array arrangement method, and the monodisperse uniform fog drop device comprises a driving source, a liquid supply device and a spray head; the spray head is a monodisperse atomizing spray head, the driving source is an ultrasonic signal generating system, the liquid supply device supplies constant-pressure fluid to the spray head, and the spray head forms monodisperse spray under the driving of high-frequency sound waves of the ultrasonic signal generating system; the spraying hole array arrangement method of the atomizing nozzle comprises the following steps of: setting smaller spraying hole spacing in small deformation areas close to the center of the spraying hole plate and constraint ends on two sides of the spraying hole plate; a large safety distance is arranged in a large deformation area between the restraining end of the spray orifice plate and the center of the spray orifice plate, so that intersection caused by jet flow intersection is prevented. According to the device and the arrangement method, the problems of mutual interference and the like between large-scale array jet flows are solved; the controllability of the size and the speed of the monodisperse atomized liquid drops can be effectively improved, so that macro micro liquid drops with uniform size and concentrated speed are generated.

The invention relates to a rapid pressing clamp for friction stir spot welding and a using method of the rapid pressing clamp, and relates to the technical field of friction stir spot welding. Comprising a standing working box and a welding platform integrally connected with the top end of the working box, and further comprises a welding base, a welding pressing block, a pneumatic quick pressing mechanism and a limiting mechanism, the limiting mechanism can clamp welding materials of different sizes, the practicability of the quick pressing clamp is effectively improved, the limiting mechanism can fasten a weldment, and the welding efficiency is improved. The weldment is prevented from rotating in the welding process; the pneumatic quick pressing mechanism is responsible for applying preset pressing force in the vertical direction to the weldment so as to ensure the stability of the weldment in the welding process; the design of the welding clamp aims at improving the efficiency of welding operation and the welding quality, and quick clamping and releasing of a weldment are achieved by simplifying the clamping and disassembling processes of the weldment, so that thermal deformation of the weldment in the welding process is reduced, and the production efficiency is improved.

The invention discloses a hot die forging process parameter online optimization method and device which can be applied to the technical field of hot forming. According to the method, after the grain size simulation result is obtained by performing multi-scale analogue simulation on the hot forging based on the full-factor experimental design, the grid corresponding to the preset final forging is obtained as the base grid, and the grain size quick prediction data set is constructed in combination with the grain size simulation result; then, after a hot forging grain size rapid prediction model and a visual model are constructed according to the grain size rapid prediction data set, hot forging process parameters are input into the hot forging grain size rapid prediction model to predict and obtain real-time grain size data, and the real-time grain size data are subjected to visual processing through the visual model; and finally, the technological parameters of the hot forging piece are optimized through a bionic intelligent optimization algorithm, and then the technological parameters can be rapidly optimized.

The invention discloses a KDP crystal surface supersaturation simulation calculation method based on UDS, which relates to the technical field of crystal growth numerical simulation, and comprises: establishing a physical geometric model of a crystal growth groove, meshing the physical geometric model, and then importing it into Fluent simulation software; based on a user-defined scalar equation UDS, coupling fluid turbulence and energy equations, establishing a solute transport equation of a KDP crystal growth system; based on a KDP crystal surface solute reaction boundary condition, writing a user-defined function UDF, and based on a user-defined storage UDM, storing the equilibrium concentration of a KDP solution, mounting a custom function of equilibrium concentration varying with temperature, thereby constructing a self-consistent function of crystal surface growth rate; coupling the established equations and functions, establishing a mathematical model of the KDP crystal growth system, setting a calculation domain condition and a boundary condition of the mathematical model, and calculating and solving to obtain the supersaturation distribution of the KDP crystal growth system.

The invention discloses a preparation method of oversized cubic calcium carbonate with controllable particle size, which comprises the following steps: adding a saccharide additive into a CaCl2 solution, and uniformly mixing to obtain a CaCl2 mixed solution; then placing the CaCl2 mixed solution in a carbonization tower, slowly adding Ca (OH) 2 as a pH regulator into the CaCl2 mixed solution, and preparing large cubic calcium carbonate at 25 DEG C by a carbonization method; by monitoring the reaction pH value, stopping introducing CO2 when the pH value is about 7, separating a product through suction filtration, and then drying to obtain the large cubic calcium carbonate. Large cubic calcium carbonate is prepared through a carbonization method, the large cubic calcium carbonate with different sizes is obtained by controlling the pH value of a reaction system, the maximum particle size can reach about 30 microns, and the monodispersity is good.

The invention discloses an inner hole coating bonding strength detection device, and belongs to the field of inner hole coating detection. Comprising a test assembly, a control assembly for controlling the test assembly, and a signal transmission assembly for transmitting a test result, the product to be tested is fixed on the test board through the positioning clamp; the test assembly extends into the inner hole of the product to be tested through the control assembly so as to control the scribing track, the scribing position and the scribing pressure of the test assembly; the test signal of the test assembly in the test process is obtained through the signal transmission assembly, and the test signal is transmitted to the control assembly to be displayed so as to assist man-machine interaction in the test process. According to the method, the problems of low detection precision of the inner hole pattern layer and bonding strength difference caused by incapability of quantitatively analyzing different process parameters in the prior art are solved.

The invention relates to the technical field of production line management, in particular to an MES-based inorganic board production line dynamic management method and system, and the method comprises the steps: dynamically dividing a plurality of inorganic board production lines into a plurality of first-stage flow segments according to the production flow of inorganic boards; acquiring process parameters of a starting process link and process parameters of an ending process link of each primary flow section from the MES system in real time, and judging whether the process parameters of the starting process link and the process parameters of the ending process link are abnormal or not; determining the adjustment direction of the first-stage flow section and the division number and division direction of the second-stage flow section according to the characteristics of the fault parameters in the fault parameter set; acquiring an initial process parameter and / or an end process parameter of the second-stage flow section in real time, and judging whether the initial process parameter and / or the end process parameter of the second-stage flow section are / is related to the fault parameter or not; and importing a corresponding production line management measure according to a judgment result of the previous step.

The invention provides a method and system for producing false teeth by using 3D printing, and relates to the field of digital design and manufacturing, and the method comprises the following steps: obtaining a 3D false tooth model of the oral cavity of a patient, generating an optimal printing path through a 3D false tooth model path optimization algorithm, automatically generating a support structure according to the 3D false tooth model, the printing path and the structural characteristics of the 3D false tooth model, and carrying out 3D printing on the 3D false tooth model. A simulation model is established, temperature distribution, mechanical properties, a supporting effect and a printing path in the 3D printing process are simulated and analyzed, according to a simulation result, possible problems are predicted, the printing technology is optimized and adjusted to obtain optimized path planning data and adjusted printing parameters, and a machining scheme is formed. Therefore, precision improvement and performance optimization of false tooth production and automatic control of the production process are realized. In combination with closed-loop control of an intelligent feedback mechanism, not only is the product quality improved, but also the production efficiency is enhanced, the cost is reduced, and a new solution is provided for technical upgrading and industrial application in the false tooth production field.

The invention discloses a non-equilibrium reaction wetting behavior analysis device and a use method, belongs to the field of laser intelligent manufacturing, and aims to solve the problem that existing wetting behavior research has limitation. Comprising a laser system and an atmosphere adjusting system, the atmosphere adjusting system comprises a cabin body, the cabin body is a hollow closed shell, a protective lens is arranged on the upper end wall of the cabin body, two coaxial observation windows are arranged on the side wall of the cabin body, a pressure release valve is arranged at the upper end of the cabin body, an external connector is arranged at the bottom of the cabin body, and a lifting platform is arranged in the cabin body. The two observation windows and the base plate are arranged on the test lifting platform, a to-be-melted sample is arranged on the base plate, the laser processing head generates a laser beam, and the laser beam penetrates through the protective lens and forms a laser spot on the to-be-melted sample. The method not only promotes the development of a heterogeneous material laser intelligent manufacturing technology, but also provides powerful support for the progress of related industries, and fills the blank that a traditional wetting behavior monitoring technology is not suitable for the research of an unbalanced state.

The invention relates to the technical field of part quenching processes, and provides a method and system for reducing part quenching deformation based on finite element modeling. The method comprises the specific implementation steps that firstly, geometric parameters, thermophysical attribute parameters and mechanical attribute parameters of a to-be-quenched part are obtained, and a part three-dimensional model is constructed through CAD software; thirdly, establishing a temperature-physical attribute function and a stress-strain function, and performing grid division and heat-force coupling analysis through finite element analysis software to obtain a heat map, a stress distribution map and a deformation map of the part; then, constructing a temperature difference optimization function, a stress difference optimization function and a deformation optimization function, and further forming a quenching process optimization function; and finally, carrying out iterative solution on the optimization function by adopting a genetic algorithm, and determining optimal process parameters in the vacuum quenching process, so that deformation of the part in the quenching process is effectively reduced, and the precision and efficiency of the quenching process are improved.

The present invention discloses a process chamber and semiconductor process equipment, and relates to the field of semiconductor manufacturing technology. The process chamber includes a grounded cavity and a liner, a lower electrode device, an adjustable inductance device and a capacitance adjustment member arranged in the cavity; the liner is arranged around the outer side of the lower electrode device, and there is a gap between the liner and the inner wall of the cavity, and the capacitance adjustment member can be raised and lowered in the gap to adjust the capacitance value of the liner to the ground; one end of the adjustable inductance device is connected to the liner, and the other end is grounded to adjust the inductance value of the liner to the ground. This solution can solve the problem that the wafer etching rate and selectivity cannot be adjusted independently during the semiconductor manufacturing process.

This application belongs to the field of carbon fiber tube manufacturing technology, and discloses a carbon fiber tube centrifugal forming manufacturing system and process. The carbon fiber tube centrifugal forming manufacturing system includes a mold assembly and a centrifugal drive assembly. The mold assembly includes a module frame, individual frames, and mold components. The module frame is detachably connected to several individual frames, and the individual frames are detachably connected to several mold components. The mold components include a tubular mold with external hexagonal sleeves at both ends and detachably connected plugs at the ends. The centrifugal drive assembly includes a housing, a motor, and a platform. The housing and motor are mounted on the platform. A gear set inside the housing enables the motor to drive the external internal hexagonal sleeve to rotate. The internal hexagonal sleeve and the external hexagonal sleeve are inserted and engaged to drive the tubular mold to rotate and achieve centrifugal forming. This application solves the pain points of existing equipment and processes, such as poor versatility, cumbersome operation, low forming accuracy, and limited efficiency, through synergistic optimization of structure and process.

The present application relates to a kind of flakeboard production line of energy consumption monitoring and intelligent control system, comprising: physical execution layer, for executing flakeboard production process;Clean energy supply layer, it includes factory photovoltaic power generation system and biomass heat center, for providing heat energy to physical execution layer;Universal perception layer, for forming global data perception network, real-time acquisition production energy consumption, material consumption, key process parameters, photovoltaic power generation power and biomass steam supply quality parameter;Intelligent decision-making layer, it is respectively connected with the programmable logic controller of each production unit of universal perception layer and physical execution layer, for receiving and processing the real-time data collected by universal perception layer, and by built-in based on dynamic boundary multi-objective collaborative optimization model solution comprehensive optimal process parameter, and write the process parameter adjustment scheme solved into the programmable logic controller of physical execution layer corresponding.

A high-alloy steel electroslag ingot and its homogenization method are provided, comprising the following steps: S1, electroslag ingot pretreatment: removing surface oxide scale and crack defects, and grinding to a surface roughness Ra≤6.3μm; S2, staged heating: heating to 800-900℃ at a rate ≤100℃ / h and holding for 2-6h; heating to 1000-1100℃ at a rate ≤100℃ / h and holding for 2-6h; heating to 1200-1300℃ at a rate ≤150℃ / h and holding for 10h. -20h; S3, Stepped cooling: Turn off the heating device and cool with the furnace to 800-1000℃, hold for 2-6h; cool to 500-650℃ at a rate of ≤50℃ / h, hold for 2-6h; open the furnace door and introduce cooling air at a speed of 0.5-3m / s to cool to room temperature, obtaining homogenized high-alloy steel electroslag ingots; S4, Post-homogenization testing: the relative standard deviation of each alloying element is ≤5%; the average grain size is ≤10μm; the Brinell hardness fluctuation range is ≤15HBW. This invention eliminates component segregation, refines grain structure, optimizes process parameters, is highly efficient and energy-saving, easy to promote, and has strong practicality.

The invention discloses a multi-physics field coupling numerical simulation method for the selective laser melting forming process of an aluminum matrix composite. The method specifically comprises the steps that 1, a heat-force complete coupling control equation set is established; 2, carrying out homogenization thermal-mechanical property characterization on the AlSi10Mg / Al2O3 / SiC composite powder, namely establishing a quantitative relation between the equivalent thermal-mechanical property of the composite powder and particle characteristic parameters by adopting an Eshelby equivalent inclusion theory and a Mori-Tanaka homogenization method; 3, providing a dynamic laser heat source model, and simulating energy absorption, reflection and scattering behaviors caused by light-powder interaction; and 4, coupling the cellular automaton CA and the phase field method PF, and constructing a multi-scale dynamic model formed by solidification structure evolution and residual stress. According to the method, the limitation of an existing simplified model is overcome, and the high-fidelity numerical model comprehensively reflecting the multi-field coupling rule in the SLM forming process is established.

The invention relates to an ultra-large component electric arc additive system with surface detection and repair functions and a method. The system comprises a laser three-dimensional contour scanning system, a system control unit and an additive manufacturing and remelting repairing platform. The laser three-dimensional contour scanning system is used for compiling a robot detection path and simulating a track, and issuing an instruction to carry out laser contour three-dimensional scanning on the additive component after no error is reported; the system control unit is internally provided with an additive structural part original model, technological parameters of electric arc additive are controlled according to the additive structural part original model, data preprocessing and defect recognition are conducted on scanning data obtained by the laser three-dimensional contour scanning system, and positions and parameters of additive manufacturing and remelting repairing are controlled according to a defect recognition result. According to the method, the problems of insufficient surface precision, incomplete fusion defects and deformation of formed parts during arc additive manufacturing of large components are solved, so that the precision of additive forming is guaranteed, metallurgical defects are eliminated, and the additive quality is improved.

The present invention discloses a deep groove etching method for silicon, and relates to the field of semiconductor technology. The present invention comprises the following steps: S1: preheating; S2: adjusting external factors; S3: deposition; S4: etching; S5: sidewall improvement, and then forming a second protective layer on the sidewall of the etching interface by a second deposition gas, which adheres to the surface of the first protective layer; S6: performing S3, S4, and S5 in an alternating cycle until the etching reaches a predetermined depth, and in the alternating cycle process, the mixing amount of each component of the first deposition gas and the second deposition gas is dynamically adjusted with the change of the etching depth; S7: ending the etching. The method of the present invention can be applied to the etching of ultra-high aspect ratio groove structures. By decomposing an etching cycle into three sub-processes of deposition, etching, and sidewall improvement, double sidewall deposition can greatly improve the morphology of the sidewall, solving the problems of low processing efficiency and unsatisfactory sidewall morphology of the existing deep groove etching method.

The invention relates to a rhus chinensis bark extract with whitening and soothing effects and a preparation method and application thereof, and the preparation method comprises the following steps: crushing rhus chinensis bark, then carrying out heating reflux extraction with ethanol, recovering a solvent from the obtained extracting solution under reduced pressure, and concentrating to obtain an extract; the obtained extract is subjected to MCI small-hole resin sample stirring, MCI column packing and ethanol flushing; an active section is obtained; according to the rhus chinensis bark extract with the whitening and relieving effects and the preparation method and application thereof, technological parameters in the extraction process are optimized, the extraction part of rhus chinensis is optimized, an active segment HDYFM-1 is obtained after an ethanol extract of rhus chinensis bark is separated and purified through MCI small-hole resin, and the rhus chinensis bark extract has the whitening, anti-oxidation and relieving effects; according to the invention, the rhus chinensis barks are used for extraction, which is better than that of the conventional extraction of rhus chinensis leaves in the market, and the composition has excellent effects in whitening, anti-oxidation and soothing effects.