53 results about "Orthogonal test design" patented technology

The invention provides a cutter abrasion on-line monitoring method to monitor cutter abrasion of a lathe in the machining process on the basis that considering the influence of the cutter abrasion capacity and machining parameters on cutting power, a corresponding regression model is established, namely the invention discloses a cutter abrasion on-line monitoring method of numerical control turning batch machining based on the cutting power. The method comprises the following steps that firstly, the influence of the cutter abrasion capacity and the machining parameters on the cutting power is analyzed; then the regression model of the cutting power, the cutter abrasion capacity and the machining parameters is established through orthogonal test design and a response surface method; and finally, on the basis of establishing of the regression model of the cutting power, the cutter abrasion capacity and the machining parameters, the cutter abrasion on-line monitoring method where a cutting power threshold value is updated in real time is obtained.

The invention relates to a double-layered growing method for lucern in mountainous areas of arid regions. The method is characterized in that: grandifoliate lucern is adopted as a main grown variety, an annual associated plant variety, such as rape, oat or highland barley, is chosen, and by means of a orthogonal test design and sowing order (position), growing spacing, growing depth, amount of applied fertilizer and other technical measures, and by utilizing the concealing and protectin effect generated by the double-layered growing method for the lucern in mountainous areas on lucern seedlings, the double-layered growing method can increase the current survival rate of the lucern seedlings. The double-layered growing method can promote the success of desert grassland improvement and artificial pasture construction under the environmental conditions of arid mountainous areas, becomes an optimal technology portfolio for growing lucern at medium and high altitudes in mountainous areas of arid regions, and greatly increases the survival rate of lucern in desert grassland restoration and artificial pasture construction and the yield of currently grown lucern in mountainous areas of arid regions at the altitude of 3000 to 1800 meters.

The invention provides a method for optimizing injection molding process based on RBF (Radial Basis Function) neural network. The method comprises the following steps: building a CAE (Computer Aided Engineering) analysis model and first injection molding parameters of an injection molding product; carrying out injection molding parameter optimization on the first injection molding parameters for at least one time to acquire first optimized injection molding parameters; carrying out orthogonal test design on the first injection molding parameters to acquire orthogonal test data; training the RBF neural network by using a part of or whole orthogonal test data to acquire trained RBF neural network; acquiring final optimized injection molding parameters by using the trained RBF neural network.According to the method for optimizing the injection molding process based on the RBF neural network disclosed by the invention, the acquisition efficiency of the final optimized parameters can be improved, an optimizing effect is good, the acquired final optimized injection molding parameters are more accurate, and an injection molding requirement can be met.

The invention discloses a method for optimizing the matching of mixed variables of side safety components of a vehicle body, which comprises the following steps: a plurality of components are initially selected as safety components; according to the design variables of different safety components, the orthogonal test design table is established, and the sample points in the orthogonal test designtable are simulated by finite element method; the sensitivity analysis of the simulation results is carried out to determine the key sensitive safety components in side impact; the homogeneous Latin square test is designed according to the related design parameters and the simulation calculation is carried out; according to the simulation results, a plurality of approximate models are establishedby multiple mathematical modeling methods, and the approximate models are established by choosing the mathematical modeling methods with high precision. Based on the selected approximate model, the multi-objective optimization is carried out, and the optimal solution is obtained by using the least distance selection method for Pareto front. The method effectively shortens the development cycle ofnew products, plays a good guiding role in the development of the body structure, and reasonably selects and matches parameters of various parts of the body so as to optimize the performance of the vehicle body.

The invention relates to a selection method of a plug-in hybrid power system configuration, and in the selection method of the plug-in hybrid power system configuration, through screening based on ownresearch and development resources, a selection range of the plug-in hybrid power system configuration can be reduced effectively. By combining a global optimization control strategy based on dynamicplanning with component parameter optimization based on an orthogonal test design method, a nested loop formed by combination of the control strategy optimization and the component parameter optimization is built, and by taking a vehicle power performance design target, vehicle cabin inner space size and emission performance as constrain conditions and taking the lowest cost as a target, selecting the configuration with the lowest cost under a condition of united optimization of the control strategy and component parameters is realized, calculation load is low, and the method is simple and convenient to operate.

The invention provides a BIM (Building Information Modeling) technology based optimizing design method of a building thermal system. The method comprises the following steps: S1, building a building model; S2, setting a reference building; S3, performing orthogonal test design according to the building model and the reference building; and S4, analyzing the test result of the orthogonal test design so as to determine the optimal combination of a building enclosure. According to the system, the optimal combination of the building enclosure is determined through cooling and heating load, and thus the optimizing direction of the building thermal system can be directly reflected; the BIM technology, the building enclosure trade-off load determining method, the orthogonal test and the like are combined to enable high reliability and accuracy of the optimizing process.

The invention provides a software reliability test data generating method and a computer aided tool of the software reliability test data generating method. According to the method, a software operation profile based on orthogonal test design is constructed and is refined to the input variable level, according to the practical use conditions, the probability information is distributed for the value level of each input variable, in addition, the probability product values of all value level combinations are sequenced, a combined algorithm is adopted for selecting the level combinations meeting the pair coverage requirements from the sequenced level combinations according to the probability product, and the reliability test data is generated by the operation. The computer aided tool comprises an operation mode profile analysis module, an operation profile analysis module, an operation profile generating module, a test data generating module and a view display module, and the software operation profile structure based on the orthogonal test design and the test data generation are realized. Under the conditions of ensuring the reliability test effectiveness, the reliability test efficiency is improved, and better feasibility and effectiveness are realized.

The invention relates to a design method of an expansion coupling sleeve for solving stress concentration and light weight. The method mainly solves the technical problems that an existing expansion sleeve size design method is insufficient in reliability, materials are wasted and the like. The specific method comprises the following steps of 1) according to an expansion coupling sleeve transmission torque requirement, a material yield strength requirement and a light-weight minimum mass requirement, determining the design indexes as follows the minimum contact pressure p1min of the main shaftand the shaft sleeve, the maximum equivalent stress Emax of the whole machine and the minimum mass mmin; 2) determining the design parameters of the expansion sleeve according to the design indexes,and obtaining the sample data by utilizing orthogonal test design based on finite element simulation; 3) concluding the sample data, taking the design index as a function dependent variable, taking the design parameter as an independent variable, obtaining an objective function by utilizing a Kriging method, and constructing a prediction model which meets the requirements of torque, equivalent force and minimum mass; 4) obtaining a multi-objective optimization function through a simultaneous prediction model, and obtaining a final design parameter by solving a second-generation genetic algorithm (NSGA-II).

The invention discloses a determination method for the levels of three factors in a rubber powder modified cement stabilized crushed stone mixture. The determination method comprises the following steps: determining the levels of the three factors, and carrying out a test design by virtue of an orthogonal test design method; designing a compaction test for the rubber powder modified cement stabilized crushed stone mixture according to an orthogonal test result; analysing the influences of the three factors on the maximum dry density; preparing the rubber powder modified cement stabilized crushed stone mixture according to a compaction test result, and carrying out an unconfined compressive strength test on the rubber powder modified cement stabilized crushed stone mixture; analysing the influences of the three factors on the strength of the mixture according to the result of the unconfined compressive strength test; and determining the matching relationship of the levels of the three factors according to the requirement that an unconfined compressive strength needs to meet design specifications. The method disclosed by the invention is simple and easily understood, reasonable in test times, accurate in result, and capable of determining the matching relationship of the levels of the three factors in a short time and furthest improving the comprehensive performance of a cement stabilized crushed stone base under the condition of meeting the current specifications.

The invention relates to a three-section circular arc primitive corrugated pipe analysis method based on variance sensitiveness sorting. The method is characterized in that geometrical characteristics of a multi-layer three-section circular arc primitive tangent corrugated pipe are symmetrically defined, and geometrical parameters of the corrugated pipe are decoupled; a nonlinear finite element analysis program of the multi-layer three-section circular arc primitive tangent corrugated pipe is built based on parameter languages, and modeling, network processing, loading, postprocessign and other finite element calculation steps can be rapidly achieved by freely changing model parameters; a parametric simulation control platform is built, an orthogonal test design module, a parametric finite element simulation module and a sensitiveness analysis module are integrated, large-sample and multi-target optimal calculation can be achieved, and sensitiveness indexes of design modules can be rapidly and systemically obtained. The systematicness and reliability of structural parameter optimization and sensitiveness analysis are improved; on the basis of a platform control technology and a parametric simulation technology, the labor cost is greatly saved, and calculation efficiency is improved.

The invention discloses a making method of a microcirculation promoting, whitening and bacterium inhibiting mask. The mask is composed of 1g of an extract obtained after extracting nine traditional Chinese medicines, 1.2g of polyvinyl alcohol, 1.5mL of anhydrous ethanol, 8mL of distilled water, and additives comprising 1-2 drops of glycerin and sorbic acid. The nine traditional Chinese medicines comprise 40.0g of Herba Leonuri, 5.0g of Radix Codonopsis, 5.0g of fried Rhizoma Atractylodis Macrocephalae, 5.0g of Poria cocos, 2.5g of licorice root, 10.0g of Chinese angelica, 5.0g of fried white peony root, 5.0g of Ligusticum wallichii and 10.0g of prepared rehmannia root. An extraction process of the extract comprises the following steps: refluxing with 75% ethanol for 2h two times, carrying out pumping filtration, evaporating until no ethanol smell exists, concentrating to a thick paste with the mass of 5g, and adding distilled water to 25mL. The additives are obtained by optimizing through an orthogonal test design. The mask made in the invention is a light green-to-brown green viscous liquid, and has a special fragrance and a cooling and refreshing feeling. The mask has the advantages of good ductility, good plasticity, good skin adhesiveness, no granular sensation and obvious bacterium inhibition effect.

The invention discloses a car window lifting board forming process optimization method based on range analysis. The method comprises steps as follows: determining an optimization objective and optimization variables; establishing a finite element model; obtaining a process parameter combination of four best-fit springback factors through an orthogonal test and steps of a range analysis method. By the aid of the orthogonal test design and the range analysis method, the priority sequence of springback factors affecting a car window lifting board can be obtained and is shown as follows: A2>B2>D2>C3; best fitting of optimization variables including the board thickness A, the punching speed B, the friction factor C and the die clearance D is obtained, process parameters after optimized forming are shown as follows: the board thickness A is equal to 1 mm, B is equal to 5,000 mm / s, C is equal to 0.125 and D is equal to 1.15, the priority sequence of forming process parameters of parts is effectively analyzed, the forming process parameters are well optimized, defective parts are reduced, a theoretical basis is provided for actual production, dependence on a designer is reduced, the whole process design flow cycle is short, the efficiency is high, and the time cost and the material cost are reduced.

The invention discloses an optimizing method for lowering cable holder eddy current loss based on orthogonal test design. The method comprises the following steps of designing a table about influencefactors and levels, and generating an orthogonal test table according to the number of the levels and the number of the influence factors; conducting simulation calculation according to the orthogonaltest table to obtain eddy current loss values on cable supports in each set of simulated test; adding a simulation result in the orthogonal test table, solving the mean values and the ranges of all the levels of the influence factors respectively according to a simulation result and drawing an effect curve chart; obtaining the primary and the secondary sequence of various influence factors to thecable support eddy current loss according to the effect curve chart, and obtaining an optimal scheme for lowering the cable support eddy current loss through orthogonal test analysis. The optimizingmethod is not only high in efficiency, but also high in accuracy.

The invention discloses a vibration damping design method of a space pipeline in a strong vibration environment, including the following steps: step 1, establishing a bidirectional fluid-solid coupling simulation model of a space pipeline in a basic vibration; step 2, performing a orthogonal test design on the bidirectional fluid-solid coupling simulation model; step 3, analyzing the orthogonal test results of the orthogonal test design to determine an optimal combination of space pipeline structures. The vibration damping design method of space pipeline in strong vibration environment establishes a bidirectional fluid-solid coupling model for the space pipeline, and determines the structural parameters of the designed pipeline according to the comprehensive scoring method and the orthogonal test method, so as to obtain a scheme for optimizing the comprehensive performance of the pipeline, thereby the vibration of the space pipeline in strong vibration is reduced, and the stability andsafety of the pipeline system are improved.

The invention discloses an inversion method of dent defect recovery on an oil and gas pipeline. The inversion method comprises the following steps: establishing a three-dimensional model of a trace application object acting on the pipeline; setting influence factors of dent defects on the pipeline; analyzing the influence of each influence factor on the recovery of the indentation defect on the pipeline; and calculating the relationship between the recovery coefficient of the dent defect in each working condition stage and the influence factor according to the influence of each influence factor on the dent defect on the pipeline. According to the method, firstly, the influence rule of each influence factor on indentation defect recovery is analyzed based on a single-factor variable method.After that, based on an orthogonal test design method, a quantitative relational expression between each influence factor and the recovery coefficient of the pipeline in different working condition stages is obtained through nonlinear analysis fitting.

The invention discloses a preparation method of a qi tonifying, whitening and bacterium inhibiting mask. The mask is composed of an extract obtained after extracting four traditional Chinese medicines, 5.5-6.5g of polyvinyl alcohol AH-26 and 3.7-4.3mL of glycerin, and contains no sorbic acid, the four traditional Chinese medicines comprise 9g of Rhizoma Atractylodis Macrocephalae, 9g of ginseng, 9g of Poria cocos and 6g of licorice root, and the extract is obtained through the steps of adding 250mL of 45% ethanol (diluted with 98% ethanol), carrying out reflux extraction for 2h, carrying out pumping filtration, evaporating in a constant temperature water-bath tot dryness and no ethanol smell, and concentrating to obtain the extract. Additives are obtained by optimizing through an orthogonal test design. Ginseng in the above prescription is used as a monarch medicine, and has a dry temperature qi tonifying effect. Rhizoma Atractylodis Macrocephalae is used as a minister medicine, has bitter warm qi tonifying reinforcement effect, and also has a bacterium inhibiting efficacy; slightly sweet Poria cocos is used as an assistant medicine, has spleen invigorating and dampness excreting effects, and the cooperation of Poria cocos with Rhizoma Atractylodis Macrocephalae realizes substantial spleen invigorating and dampness dispelling efficacies. Honey-fried licorice root is used as a guide medicine, can tonity qi, harmonize the middle warmer and regulate many medicines, has different bacterium inhibition effects on two common pathogens, and has obvious bacterium inhibition effects. The qi tonifying, whitening and bacterium inhibiting effects of the mask are finally reached.

The invention relates to an industrial robot big arm structure optimization method based on an orthogonal test. The method comprises the steps: (1) selecting an industrial robot big arm as an optimization object; (2) determining three factors of orthogonal test design; (3) selecting five horizontal parameters for each factor; (4) generating an orthogonal test table with 25 test schemes; (5) modifying the industrial robot big arm model in the step (1); (6) performing topological optimization on the modified industrial robot big arm model; (7) determining the maximum stress of the structure; (8)generating a mean value main effect diagram of the maximum stress; (9) analyzing a test result in the step (8); and (10) comparing the analysis data before and after optimization, and confirming an optimization result. The method has the advantages that the optimal material distribution of the big arm can be achieved and reserved to the maximum extent, the optimal big arm structure parameters areobtained, and the strength, rigidity and other performance of the big arm are remarkably improved while the mass of the big arm is reduced.

The invention discloses a residual oil distribution rule quantitative analysis method, which comprises the following steps of: step 1, establishing a grid system, and simulating a well and an artificial crack by using a local grid encryption technology; step 2, inputting basic parameters such as porosity, permeability, original saturation and the like, determining the size of a water body, and selecting a relative permeability curve; step 3, carrying out sensitivity quantitative analysis on the parameters, and carrying out optimal design on a digital-analog scheme by using a method related toan orthogonal test; and step 4, taking oil field production dynamic data as a basis of historical fitting, and carrying out comprehensive inspection on the established model. According to the residualoil distribution law quantitative analysis method, orthogonal test design is introduced, the factor combination and quantity of a digital-analog scheme are determined, the distribution law of underground oil, gas and water is reflected more accurately through historical fitting, a large amount of manpower, material resources and time are saved, and the method has the characteristic of high applicability and is suitable for popularization and application.

The invention discloses an injection molding process parameter optimization method for a transparent complex multi-cavity plastic part. The method comprises the steps that firstly, orthogonal test design is conducted based on a CAE simulation result, and main factors influencing buckling deformation are screened out; secondly, nonlinear function relationships between main factors of Kriging modelmapping and an optimization target are established based on different correlation functions, and the Kriging model with the highest precision is selected as a relationship model reflecting a design variable and buckling deformation; different optimization algorithms are adopted for optimization respectively, optimal injection molding process parameter combinations are obtained respectively, and the optimal injection molding process parameter with the minimum error is selected as the process parameter combination with the minimum buckling deformation. According to the optimization method, buckling deformation of the transparent complex multi-cavity plastic part can be effectively reduced, and the optimization method is particularly suitable for optimizing injection molding process parameters of the transparent complex multi-cavity plastic part on the basis of a one-mold multi-cavity technology for forming a plurality of different plastic part products through one mold.

The invention discloses a processing method for improving water holding capacity of beef. The method comprises the following steps: S1, preparing ingredients: sodium caseinate (0.1%-0.5%), xanthan gum(0.1%-0.5%), sodium alginate (0.1%-0. 5%), and sodium tripolyphosphate (0.1%-0.5%); and S2, ingredients mixing: sodium caseinate, xanthan gum, sodium alginate and sodium tripolyphosphate are dividedinto 5 groups according to the proportion, and in each group of sodium caseinate, xanthan gum, sodium alginate and sodium tripolyphosphate, an appropriate amount of water is added for dissolving to prepare a solution. The method combines sodium caseinate, xanthan gum, sodium alginate and sodium tripolyphosphate at different concentrations with beef by means of a single factor experiment and an orthogonal test design analysis method, the optimum concentration of each solution on the water holding capacity of beef is calculated by many experiments, the sodium alginate with a concentration of 0.4% has the best effect on the water holding capacity of beef, so that sodium alginate can be selected to increase the water holding capacity of the beef, and the sensory eating quality of the meat product is improved.

The invention discloses a composite process method for strengthening a Ti-10V-2Fe-3Al alloy surface layer. According to the composite process method, an orthogonal test design scheme is adopted, an extreme value and variance analysis method is applied, preparation process parameters of a Ti-10V-2Fe-3Al alloy shot blasting sample are optimized, and shot blasting treatment results of a Ti-10V-2Fe-3Al alloy under different parameter combinations (dry shot blasting time, wet shot blasting time, dry shot blasting size and wet shot blasting size) are explored. Through comprehensive analysis of the depth of an action layer, micro-hardness and surface roughness of the shot-blasted sample, the optimal shot blasting process parameters are obtained, and thus the purpose of optimizing the composite process for strengthening the Ti-10V-2Fe-3Al alloy surface layer is achieved.

The invention discloses an electromagnet optimization design method based on an orthogonal test and JMAG simulation, and relates to the field of electromagnet design. The method comprises the following steps of 1, preliminarily selecting an orthogonal test influence factor which has an influence on the attraction of an electromagnet according to the production experience; 2, selecting a proper orthogonal table according to a standard orthogonal table design method, arranging influence factors in each column of the selected orthogonal table, carrying out header design, and determining an orthogonal test scheme; 3, according to the orthogonal test design, importing an orthogonal test scheme into JMAG simulation software; 4, adding JMAG simulation software into the orthogonal table to obtainan electromagnet attraction value; 5, importing the data in the step D into Minitab software for data analysis; and 6, determining an optimal scheme which has the maximum attraction force of the electromagnet and accords with the actual production by integrating the experiment results. The method has the advantages of high efficiency and accuracy.

The invention discloses a design method for improving the detection performance of a wearable and stretchable electrochemical sensor. The method comprises: obtaining a design parameter matrix interpolation combination through orthogonal test design, and obtaining performance indexes of WSES under different tensile strengths through electrochemical experiments; establishing a nonlinear regression model corresponding to each performance index; simultaneously searching for a Pareto non-dominated optimal solution of the performance indexes by using a multi-objective optimization method to obtain aWSES design result; and carrying out optimization design on the wearable and stretchable electrochemical sensor according to the WSES design result. According to the design method, the relationship between other design parameters and the tensile strength can be considered, so that the optimal individuals in a non-dominated state can fully reflect the influence of different tensile strengths on the WSES performance, and the optimal performance under different tensile strengths is ensured. The problem that an existing WSES design method is insufficient in robustness to tensile strength is solved.

The invention discloses a steel shell immersed tube self-compacting concrete mix proportion design method and concrete. The mix proportion design method comprises the steps: preparing materials for the concrete; calculating a preliminary mix proportion by adopting a fixed sandstone volume content calculation method; according to an orthogonal test design method principle, performing influence factor analysis on the preliminary mix proportion to obtain a preferable mix proportion; performing test verification on the preferable mix proportion to obtain an optimal mix proportion; and carrying outa process test on the optimal mix proportion to determine that the optimal mix proportion meets the production requirements. The mix proportion design method disclosed by the invention is based on the combination of the fixed sandstone volume content calculation method and the factor design analysis method; according to the method, the optimal mix proportion meeting the requirement for pouring the high-self-compaction concrete into small compartments of a steel shell immersed tube is designed, the designed concrete can be compacted and formed only through the gravity effect of the concrete without additional mechanical vibration, segregation is avoided in the flowing filling process, and thus it is guaranteed that the concrete makes close contact with the steel shell, and cooperative stress is achieved.

The invention provides anti-ageing functional acidified milk and a preparation method thereof. The acidified milk is specific to the special physiological characteristics and nutritional requirements of the aged people. On the basis of reference to the daily recommended food volume of Chinese Nutrition Society, national standard, pharmacopeia and domestic and foreign related articles, the fresh milk is taken as a basic raw material, the food supplements including tea polyphenol, sodium selenite, calcium carbonate, vitamin E, vitamin A, vitamin D, and the like, and mixed leavening agents are selected and added, single factor and orthogonal test design are respectively adopted, the sensory evaluation, conventional physicochemical index analysis, electrophoresis detection and free amino acid determination are performed and the animal experiment is performed for verifying the anti-ageing function, so as to research and develop the functional acidified milk product fit for Chinese old people. The anti-ageing functional acidified milk has significance in promoting the healthy physique of the old people, enriching the food variety special for the old people and meeting the requirement of the ageing society.

The invention provides an efficiency evaluation method based on massive adversarial simulation deduction data modeling and analysis, and the method employs an orthogonal test design means, determines test factors and horizontal elements through a data dimension method, and achieves the evaluation of the efficiency of the data. The method comprises the following steps: constructing a decision evaluation scene meeting the requirements of more information incompleteness, more force deployment strategies of friend and foe parties, more combat command and control strategies, more battlefield environment elements and more performance elements of friend and foe weapons, establishing an index weight matrix and an evaluation objective function, and optimizing the degree of membership through a multi-layer intelligent perceptron and the degree of membership. The method comprises the steps of determining the incidence relation between index parameters and decision-making effects, generating an optimized distribution result of index weights, comprehensively evaluating massive game deduction results by adopting a big data and knowledge fusion method, improving the objectivity and accuracy of equipment efficiency evaluation, constructing a mapping relation between five-more-related interval parameters and corresponding indexes, and improving the efficiency evaluation efficiency of the equipment. A matrix type evaluation result query table is formed, and the comprehensiveness of equipment efficiency evaluation is improved.

The invention discloses a process parameter optimization method based on die forging die wear, belonging to the die forging process field, in particular to a process parameter optimization method combining finite element simulation of die forging process and orthogonal test design. This method takes die forging process as an example, on the basis of Archard wear model, deduces the correction modelsuitable for die forging die wear, and carries on the finite element simulation analysis of die forging die wear process based on Deform software. The relationship between the wear depth of die working surface and die forging process parameters is studied. Different process parameters are combined and analyzed by orthogonal experiment design. The optimum process parameters for die forging are obtained by fewer times of simulation experiments. By using the range analysis method to process the experimental data, the process parameters which have the greatest influence on die wear are deduced, and the optimization method based on the direction of process parameters is provided for die wear problem in die forging process.

The invention relates to an artificial feed for orius strigicollis and a preparation method thereof. The feed comprises the following components in parts by weight: 5.0-7.5 parts of tenebrio molitor, 2.5-5.0 parts of pollen, 0.25-5.0 parts of sucrose, 0.50-0.75 part of yeast powder, 1.0-1.2 parts of agar, 0.15-0.20 part of sorbic acid and 100-120 parts of distilled water. Through analysis of nutritional requirements of the orius strigicollis, the tenebrio molitor is selected as a main nutrient source through comparison, and the artificial feed for feeding the orius strigicollis at all ages is prepared through orthogonal test design. The artificial feed provided by the invention can basically replace natural predation, well meet the requirements of growth and development of the orius strigicollis at all ages, well ensure the nutritional requirements of the orius strigicollis, and can be used for artificial feeding of the orius strigicollis.

The invention relates to the technical field of die-casting processes, in particular to a die-casting magnesium alloy containing rare earth and a forming process thereof.The die-casting magnesium alloy comprises 0.4-0.8 wt% of zinc, 0.4-0.8 wt% of lanthanum, 0.4-0.8 wt% of cerium, 0.4-0.8 wt% of zirconium and the balance magnesium. According to the die-casting magnesium alloy containing the rare earth and the forming process of the die-casting magnesium alloy containing the rare earth and the forming process of the die-casting magnesium alloy containing the rare earth, simulation software is adopted for conducting simulation analysis on a magnesium alloy die casting; model establishment, grid division, boundary condition setting, process parameter setting and result analysis are sequentially carried out, and based on orthogonal test design, the optimal die-casting forming process is obtained by comparing the influences of the process parameters such as pouring temperature, mold temperature, injection speed and dwell time on the shrinkage rate and the hot crack tendency index. According to the die-casting magnesium alloy containing the rare earth, the result of casting defects is analyzed through software, the limitation that the mechanical performance is optimized through repeated production tests is improved, the production period is shortened, the test casting cost is reduced, and the casting quality is improved.