695 results about "Process design" patented technology

The invention discloses a ship block construction process-level production scheduling method and system based on a particle swarm-genetic hybrid algorithm. The method comprises the following steps: constructing a standardized process-level process design data model; based on an operation plan decomposition rule, decomposing the segmented production task into a part-level operation production task matched with the process; establishing an optimization target model with the shortest delivery time, the least overdue tasks, the most balanced load and the like, and constraint rules such as lane and line separation and customization station rules, process route and process constraint rules, material and capacity constraint, priority and the like; optimizing the segmented production plan through a particle swarm-genetic hybrid algorithm until an optimization result meeting the requirement is obtained; and according to the feedback of the actual execution condition of the plan, the orders are classified based on a clustering algorithm, and the operation cycle parameters of different processes are dynamically compensated. The method has the advantages of being high in plan fineness, small in operation progress estimation deviation and the like, is high in calculation speed and low in algorithm complexity, fully considers support of process design data of a design end on algorithm implementation, and is very suitable for engineering application.

The invention discloses a uniformly radial positive electrode material precursor and a preparation method thereof. The cross section of the uniformly radial positive electrode material precursor is uniformly radial, and the shape of the uniformly radial positive electrode material precursor is divided into a core and an outer layer, the core is loose and porous, and the outer layer is in a regular radial shape; the method adopts a coprecipitation method to carry out two-stage reaction preparation, in the first reaction stage, an inner core layer is prepared; a second reaction stage: preparing a shell layer to reach a target particle size; the secondary particle D50 is 6.0-14.0 microns, the TD is greater than 1.90 g / cm, and the BET is less than or equal to 14m < 2 > / g; the precursor is small in structure core and compact in outer layer, particles grow in a radial mode from inside to outside, lithium ions can be separated and embedded out easily, the particle structure is more stable, and excellent rate performance and cycling stability are shown; a staged coprecipitation method is adopted, and controllable growth of a particle structure is realized by accurately controlling the ratio of oxygen to nitrogen and reaction conditions; according to the whole process design, the complex parameter adjusting range is reduced, and the production stability and repeatability are improved.

The invention belongs to the technical field of casting, and particularly relates to a process for improving the appearance quality of a casting by using a sand-isolating chilling block, which comprises the following steps: step 1, during molding or core making, firstly paving a layer of molding sand between risers or in a hot spot area; step 2, fixing the chilling block by using molding sand or supporting nails to ensure that the position of the chilling block is stable; 3, sand is discharged to wrap the chilling block, and it is ensured that a sand layer is firm through compaction operation; 4, after the molten steel is poured, heat of the molten steel is conducted to the chilling block through the sand layer, the local cooling speed of the casting is increased, and sequential solidification is achieved; and 5, after pouring, heat preservation is conducted till box opening is conducted, and an intact casting is formed. According to the invention, a layer of molding sand with a specific thickness is placed between the external chilling block and the mold, so that the external chilling block is converted into the sand insulation chilling block, and in order to ensure that the chilling block achieves the effect of process design requirements and can effectively play a chilling role on a casting, the thickness and size of the chilling block and the thickness of a sand insulation layer can be properly adjusted according to the size of a hot spot of the casting.

The invention provides an evaluation method for surfacing repair of a supporting roller, and belongs to the technical field of surfacing repair, and the evaluation method comprises the following steps: S1, preprocessing: constructing a digital twinborn model according to size data; s2, defect detection: analyzing the flaw detection data in combination with a convolutional neural network, generating defect data, and feeding back the defect data to the digital twinborn model in real time; s3, process design: inputting the optimized process parameters and material component information into a digital twinborn model; s4, surfacing repair: collecting data of temperature, stress and welding parameters in real time, and associating the data with the digital twinborn model in real time; and S5, post-welding treatment is conducted, specifically, detected data are fed back to the digital twinborn model, and the effect of the whole surfacing repair process is evaluated. According to the evaluation method for surfacing repair of the supporting roller, accurate evaluation and optimization of the surfacing repair process of the supporting roller are achieved, the repair quality and efficiency are improved, the production cost is reduced, and a powerful guarantee is provided for stable operation of steel rolling production.

The invention discloses a nodular cast iron component and process design method based on an active learning strategy, and belongs to the technical field of material process design. In order to improve the prediction precision and design efficiency of material process design, the method comprises the following steps: collecting experimental data including nodular cast iron components, process, microstructure characteristics and performance in literatures; constructing a nodular cast iron component-process-microstructure characteristic model and a nodular cast iron component-process-microstructure characteristic-performance model, setting different weights for different target performances based on an optimization algorithm, and obtaining optimized nodular cast iron components and process parameters with different performance requirements by adopting a weight-based target function; and through an active learning strategy, data with relatively large uncertainty is preferentially selected for experiment and is supplemented to a data set, then model updating is performed, model prediction precision is optimized, and finally nodular cast iron components and process parameters meeting expected performance requirements are designed. The experiment frequency and cost are reduced.

The invention provides a laser peening shape correcting system and method for a high-speed carrying equipment vehicle body thin-wall component. The laser peening shape correcting system comprises a measuring module, a process design module, an integrated control module, a laser scanning module and a machining workshop. The geometric shape of the thin-wall component to be corrected is obtained through the measurement module and input to the process design module; in the process design module, laser peening correction process parameters of the thin-wall component are designed based on the measured shape and the target shape, and a laser scanning path is generated and transmitted to the integrated control module; in the integrated control module, motion parameters of the laser scanning module are calculated according to the laser scanning path, and a motion instruction is issued; and after receiving the motion instruction, the laser scanning module begins to carry out shape correction processing on the thin-wall component placed in the processing workshop. By means of the system, the problem that the geometrical shape of the vehicle body thin-wall component is out of tolerance due to assembly welding and foreign object collision is effectively solved, and the system has the advantages of being good in controllability, high in shape correcting capacity and the like and has extremely high engineering application value.

The invention belongs to the technical field of engineering construction equipment, and discloses a trolley variable-diameter launching method which comprises the following steps: firstly, reducing the width of a trolley from 6m to 4.9 m through a trolley narrowing mechanism so as to transport and hoist in a limited space and complete assembly; when tunneling to 80m, expanding the width of the trolley to 6m, and recovering the bearing capacity of the trolley; continuously tunneling to 110m, hoisting a subsequent trolley, and connecting to form a complete machine; and after the shield body passes through the starting tunnel portal, the diameters of the cutter head, the shield body and the shield tail are synchronously expanded to the size required by construction. According to the method, through the flow design of narrowing transportation, reducing assembly and step-by-step expansion, the problems that a traditional shield tunneling machine cannot be started in a limited space and the construction efficiency is low are solved, and the construction efficiency and feasibility under the complex working condition are improved.

The invention provides a gradient metal additive manufacturing method based on cross-scale collaborative interface strengthening. The implementation object of the additive manufacturing method is a heterogeneous interlayer interface of a gradient metal structure, corresponding cross-scale cooperative strengthening is jointly achieved based on bimetal macroscopic interface tooth-shaped meshing strengthening and microcosmic interface atom interaction diffusion strengthening, and the additive manufacturing method has the advantages of being high in reliability, wide in application system and convenient and fast to regulate and control. According to the specific means, a child-mother meshing structure is arranged on the two sides of the bimetallic interface for macroscopic strengthening, an atomic interaction diffusion layer with the specific thickness is formed on the bimetallic interface for microcosmic strengthening in combination with an additive process design, and therefore the macro-micro cross-scale cooperative strengthening effect of the heterogeneous interface is achieved. Based on the method, the heterogeneous metal structure interface can be effectively strengthened, the weak mechanical property area of the interface is eliminated, the method is particularly suitable for parts with severe and complex service loads, and the service life is prolonged.

The invention relates to the technical field of high-hardness thick-specification high-wear-resistance steel plates, in particular to a high-hardness 30-80mm thick-specification flame-cutting-delayed-crack-free high-wear-resistance steel plate and a production method thereof. New flame cutting delayed crack preventing components and process design are adopted, the chemical components of the steel plate are mainly characterized by medium carbon, high silicon and niobium microalloying, and the wear-resistant steel plate with low impurity content, uniform and fine martensite and a certain amount of retained austenite structures is obtained after refining, continuous casting, controlled rolling and heat treatment. And formation and expansion of delayed cracks during flame cutting can be inhibited. And during flame cutting, thermal stress and structural stress formed in the cutting process of the thick steel plate are reduced through the cutting process of cutting with temperature and slow cooling with hot water after cutting, and the effect of no delayed crack after cutting is achieved. The surface hardness is larger than or equal to HB500, the tensile strength is larger than or equal to 1350 MPa, AKV at-40 DEG C is larger than or equal to 30 J, A is larger than or equal to 10%, retained austenite is 4%-6%, delayed cracks do not exist after flame cutting, and the flame cutting edge hardness is larger than or equal to HB460.

The invention discloses a catalyst process design and optimization method and device, and belongs to the field of machine learning. The method comprises the steps of obtaining original process data in a catalyst production process, performing data cleaning and feature engineering processing, and generating a preprocessing data set capable of being used for modeling; screening a plurality of candidate machine learning models by using an AutoML technology, and performing hyper-parameter optimization on the baseline model; an incremental learning technology is adopted to update the optimized model online in real time so as to adapt to data fluctuation in the production process; and finally, the online updated model is applied to quality prediction and process parameter adjustment, so that closed-loop optimization of the production process is realized, and the product consistency and the production efficiency are improved. According to the method, the automation level and the intelligent quality control capability in catalyst production can be effectively improved.

The invention discloses a manufacturing method for improving the cold-rolled edge crack defect of high-silicon phase-change-free electrical steel, which comprises the following steps: converting molten iron by a converter, transferring to an RH (Ruhrstahl Heraeus) furnace, carrying out vacuum smelting, carrying out alloying treatment, and continuously casting the molten steel with chemical components meeting requirements into a plate blank; the plate blank is hot-rolled into a hot-rolled plate after being heated and subjected to heat preservation; and the hot-rolled plate is subjected to normalizing, acid pickling, cold rolling, continuous annealing and insulating coating coating to prepare a high-silicon phase-change-free electrical steel finished product. In the hot rolling process, the steel plate is transversely rolled through a vertical roller, the vertical roller reduction rate delta B of the vertical roller pass meets the condition that delta B is larger than or equal to 10 * delta h / H inlet and smaller than or equal to 18 * delta h / H inlet, delta h is the thickness difference of the plate blank before and after the pass, and H inlet is the thickness of the plate blank at the pass inlet. Through the process design of the procedures of continuous casting, heating, hot rolling, normalizing, cold rolling and the like, the structure uniformity of the material is improved, especially the structure uniformity in the thickness direction, and the one-time passing rate of cold rolling is 95% or above.

The invention relates to the technical field of plastic product processing, and discloses a high-toughness plastic bag processing technology which comprises the following steps: firstly, primarily sorting recycled main raw materials, recording sources, grade classification and processing states, configuring a centralized feeding system and an intelligent proportioning program, and carrying out intelligent proportioning on the main raw materials; the mixed raw materials are injected into a five-layer co-extrusion die head or an annular die head structure, then an extrusion film body is controlled through a control system to conduct film blowing treatment on an extruded film to form film bubbles, then film blowing is conducted, the film bubbles are cooled through a 360-degree cooling air ring and an internal air core, the film obtained after film blowing is completed is pulled to a winding section through a winding system, and then the film is obtained. Before rolling, mechanical performance indexes are detected through an online monitoring instrument, and a finished film roll enters a bag making / slicing section according to order requirements. Through fine treatment and multi-layer co-extrusion process design of recycled plastics, high-proportion recycled materials are effectively applied to production of plastic bags, and the effect of remarkably improving the utilization rate of the recycled materials is achieved on the premise that the performance of finished products is not reduced.

The invention discloses an aircraft part manufacturing unit identification method based on rule matching. The method comprises the steps that S1, a to-be-identified part data set including part attribute information is acquired; s2, establishing a part attribute information identification rule base; s3, for the to-be-recognized part data set, recognizing the part type through a semantic matching mode based on the part attribute information recognition rule base; s4, digital-analog characteristics of the part are extracted based on CATIA digital-analog, and the type of the part is further judged based on the digital-analog characteristics; and S5, establishing a part type and manufacturing unit matching rule base, and performing matching based on the part type identified in the step S4 and the part type and manufacturing unit matching rule base to obtain a part manufacturing unit. According to the method, the required part manufacturing unit is rapidly and intelligently output through the part features of the to-be-identified part and the extracted digital-analog features, the design efficiency of the part process design link in the production process is greatly improved, the efficiency and intelligence of the production process are improved, the quality and reliability of the part process design are further improved, and the production cost is reduced. And the practicability is high.

Disclosed herein are systems and embodiments for improving energy efficiency of a chemical separations plant through heat integration. Heat integration may provide heating loops between distillation columns and / or integrated electric heating components configured to supply heat to reboilers in the chemical separations plant. Heat integration may use heat from an associated chemical synthesis plant configured to carry out an exothermic reaction (e.g., production of methanol from CO2 and H2). Such integrated process designs allow for the use of “low-grade” heat, thereby improving energy efficiency. Furthermore, such integrated process designs allow for electrification of exemplary chemical separations plants, replacing the use of steam as a heating medium with more energy efficient and carbon-emission neutral, electrical methods.

The invention discloses a non-autoclaved prestressed concrete pipe pile and a preparation method thereof, and relates to the field of fish culture. According to the autoclave-free prestressed concrete pipe pile and the pipe pile preparation method, through collaborative innovation of a material system and process design, comprehensive breakthrough is achieved in the aspects of mechanical properties, environmental protection benefits and environmental adaptability; in the aspect of technical performance, the hydration activity in a low-temperature environment is remarkably improved due to introduction of the phosphorus slag and the composite exciting agent in the cementing material, so that the compressive strength of the pipe pile in 28 days in the environment of-20 DEG C reaches 95% or above of a standard value (embodiment 3: 98.0 MPa), and meanwhile, the compactness of concrete is improved by 20% or above due to optimal grading of the nickel ore slag sand and the two-graded broken stone; after 300 times of freezing and thawing cycles, the mass loss is only 2.8% (embodiment 1), the chloride ion permeability coefficient is as low as 1.4 * 10 <-12 > m < 2 > / s, and the anti-permeability and durability are obviously superior to those of a traditional autoclaved pipe pile (contrast experiment: freezing and thawing loss rate reaches 46%).

The invention discloses an intelligent casting process design method based on similar process reuse, and belongs to the technical field of casting process design. The method comprises the steps that posture normalization processing is conducted on a three-dimensional model of a target casting; two-dimensional view pictures of three views and a section view of the casting three-dimensional model after attitude normalization processing are obtained, edge sharpening processing is carried out on the obtained pictures, and then shape features of the pictures after edge sharpening are obtained through a convolutional neural network; extracting process design characteristics of the casting three-dimensional model; splicing and fusing the extracted process design features of the casting three-dimensional model and the shape features of the three-dimensional model after edge sharpening, calculating the similarity between the fused features of the target casting and the features of each casting in a model library according to a cosine similarity calculation formula, and comparing and sorting according to a similarity calculation result; and screening the casting with the highest similarity as a similar casting, and determining the process route of the target casting based on the process route of the three-dimensional model of the similar casting.

The invention relates to a novel gas lift process design method based on hydrops dynamic change. The problems that in the current tight gas exploitation field, the gas lift injection amount is unreasonable, and the gas lift duration is too long are solved. According to the technical scheme, the method comprises the steps that the relation between the liquid amount, the gas amount and the injection duration and the relation between the liquid amount, the gas amount and the starting pressure are judged through field working parameters, the injection working gas amount suitable for the current is obtained, gas lift is stopped when a gas well can carry liquid for production, and the total gas lift duration is obtained; according to the method, the invalidation of the gas lift process is avoided, the optimal injection duration and the total injection gas amount under the effective gas injection amount are determined, and the purposes of reducing cost and increasing efficiency can be achieved by real-time self-regulation and popularization and implementation on site editing programs.

The invention provides a typical component shot peening strengthening process design method. The typical component shot peening strengthening process design method mainly comprises the steps that 1, typical component shot peening strengthening parameter design technical requirements are determined; 2, a reasonable shot blasting material is selected based on typical component technical requirements; 3, establishing a shot blasting process parameter optimization model based on the neural network; and 4, optimizing and solving shot blasting process parameters on the basis of the surface strengthening requirements of the part. The method is suitable for shot peening strengthening process design with the purpose of improving fatigue strength and stress corrosion breaking strength of typical components, and other parts can be used for reference.

The application discloses a high-temperature alloy component and process design method, comprising the following steps: collecting data of a certain brand high-temperature alloy manual, experiment and literature, and constructing a database; using a machine learning algorithm to construct a corresponding performance prediction model, using a Bayesian optimization technology, taking the required optimized alloy component range as a search range, and taking a comprehensive performance index as an optimization target to realize alloy component optimization to obtain excellent comprehensive performance; through the machine learning algorithm, process optimization of small sample data comprehensive performance is realized; and the optimized alloy component and process casting alloy are used to verify the optimized comprehensive performance. Through collecting data as a training set to train the model, the application analyzes the influence law of alloy components and processing technology on the structure performance, designs the optimized alloy components and process, reduces the cost of manpower and material resources, and reduces the research and development cycle of cast nickel-based high-temperature alloy.

The invention provides a process design method and system based on a structured process model and knowledge driving, and relates to the technical field of intelligent manufacturing and process design, and the method comprises the steps: obtaining a process design target and a production preparation element, carrying out the objectification structure of the process design target and the production preparation element, and constructing a structured process business model; based on the structured process business model, defining a typical process and application parameters by using an extensible classification characteristic and a combination mechanism; constructing a knowledge-driven process generation engine, and defining a comprehensive knowledge application rule based on a specific target process design in combination with the structured process business model; performing multi-scheme and operation configuration in a knowledge-driven process generation engine by utilizing a comprehensive knowledge application rule; and automatically generating a process design based on the multiple schemes and the operation configuration result, and outputting a final process scheme.

The invention provides a modeling and technological parameter optimizing method in the laser paint removing process. The modeling and technological parameter optimizing method is suitable for removing paint layers on the surfaces of high-strength materials such as 7075 aluminum alloy for aerospace. The method comprises the following steps that firstly, a laser paint removal experiment is designed through a response surface method, and response data between technological parameters and surface performance (removal depth, surface roughness and microhardness) is obtained; secondly, constructing a response surface model (RSM) and a particle swarm optimization BP neural network model (PSO-BP) so as to realize nonlinear mapping of laser paint removal process parameters to multiple performance indexes, and comparing the predictive ability and generalization ability of the RSM model and the PSO-BP model; and further, performing global optimization on the constructed multi-target model by using an improved whale optimization algorithm (IWOA) to obtain an optimal laser average power, advancing speed and scanning speed combination so as to realize removal depth minimization, surface roughness maximization and microhardness optimization. The method is high in optimization efficiency and high in prediction precision, and can be used for laser paint removal process design and intelligent recommendation in practical engineering.

The invention discloses a section line generation method and device in an intelligent design process and a storage medium, and belongs to the technical field of industrial manufacturing, the method comprises the steps that digital model data of a part is acquired, and the digital model data comprises a product surface and a material pressing surface of the part; a first boundary of the product surface is determined, a second boundary is determined according to the first boundary, the first boundary is the outer boundary of the product surface, and the second boundary is the boundary which fills up the concave-convex contour of the first boundary; determining a reference plane according to the second boundary, wherein the reference plane respectively intersects with the product surface and the material pressing surface; and generating a section line of the part according to the product surface, the material pressing surface and the reference plane. The invention aims to reduce the working procedures of the part process design flow, save time resources and human resources and improve the design production efficiency of parts.

The invention relates to Nb / Ti / RE composite microalloyed 20CrMoH steel and a preparation method thereof, and relates to the technical field of steel for high-end robot gears. The Nb / Ti / RE composite microalloyed 20CrMoH steel comprises the following chemical components in percentage by mass: 0.15 to 0.25 percent of C, 0.2 to 0.25 percent of Si, 0.80 to 1.0 percent of Mn, 0.8 to 1.0 percent of Cr, 0.15 to 0.25 percent of Mo, 0.015 to 0.025 percent of Nb, 0.015 to 0.025 percent of Ti, 0.020 to 0.040 percent of Al, 0.0030 to 0.0050 percent of RE, less than or equal to 0.008 percent of P, less than or equal to 0.008 percent of S and the balance of Fe. And the balance of Fe and other inevitable impurities. On the basis of rare earth Y element and Nb / Ti / RE composite microalloying cooperation, a multi-stage rolling process design is combined, a banded structure appearing in traditional CrMo series gear steel hot rolling is eliminated, the structure distribution uniformity is improved, and the mechanical property stability is improved. The gear steel produced through the method is uniform in structure and stable in performance, the performance requirement of high-end gear steel can be met, and remarkable economic benefits are generated.

The invention relates to the technical field of factory collaborative manufacturing management, and discloses an AI-based intelligent factory collaborative manufacturing management method and system, and the system comprises a collaborative manufacturing product information acquisition module, a collaborative manufacturing product process evaluation module, and a collaborative manufacturing product process simulation module. According to product production process productivity requirement text information, in combination with an intelligent search algorithm and target cost product production design process text information, a product process design productivity end accurately identifies product design process information; the product manufacturing process information is efficiently identified based on the production efficiency technical requirements in the product process design; product production process information is comprehensively and intelligently designed based on technical requirements, process design and manufacturing cost and process design productivity of products, and intelligence and quality of factory collaborative manufacturing management are improved.

The invention discloses a hot-rolled product steel grade design method based on a performance forecasting model, which comprises the following steps of: screening similar steel grades as reference steel grades according to target steel grades required by new users and historical production data, and optimizing components and processes of the reference steel grades by using the performance forecasting model. And components and process design values meeting the requirements of the target steel grade are obtained and used for supporting a product engineer to carry out new steel grade design work. According to the method, a stable and reliable performance forecasting model is established, a component, process and specification design scheme meeting the requirements of a new user is provided, the research and development period is effectively shortened, the research and development cost is effectively reduced, and therefore the technical competitiveness of an enterprise is improved.

The invention discloses a production method of low-temperature container steel 06Ni7DR with the thickness of 10-100 mm. The steel plate comprises the following chemical components in percentage by mass (wt%): 0.04-0.07% of C, 0.4-0.7% of Mn, 0.05-0.30% of Si, less than or equal to 0.008% of P, less than or equal to 0.003% of S, 6.5-7.5% of Ni, less than or equal to 0.03% of Nb, less than or equal to 0.01% of V, less than or equal to 0.50% of Cr, less than or equal to 0.10% of Mo and the balance of Fe and inevitable impurities. A low C + Ni and Mo alloying component system is adopted, rolling, controlled cooling, stack cooling, subcritical quenching and tempering heat treatment are carried out, the obtained low-temperature container steel 06Ni7DR with the thickness being 10-100 mm is obtained, the yield strength is larger than or equal to 560 MPa, the tensile strength is 680-820 MPa, and the low-temperature impact energy at the temperature of-196 DEG C is larger than or equal to 100 J. On the premise that the alloy cost is reduced, the process design is reasonable, and the requirement of low-temperature container steel which is stable and reliable in performance and completely meets the requirement can be obtained by adopting a short production process.

The invention discloses a product assembly process knowledge pushing method, system and equipment in the technical field of semantic recognition and knowledge graph construction, and the method comprises the steps: carrying out the construction of a knowledge graph through employing a trained Bert-BiLSTM-CRF model and an LLM-KE model according to the obtained product assembly process information, obtaining a first initial knowledge graph and a second initial knowledge graph; and screening the first initial knowledge graph and the second initial knowledge graph by using a structural rationality discrimination module SRDM, performing knowledge graph evaluation on the screened first initial knowledge graph and the screened second initial knowledge graph by using a trained LLM-KGE model, and constructing a product assembly process knowledge graph APKG-CP according to an evaluation result. And pushing assembly process knowledge based on Bayesian network intelligent reasoning. According to the method, knowledge pushing can be completed in different process design requirements, and the efficiency of man-machine collaborative operation is improved.

According to the manufacturing method of the steel substrate for the ultra-wide high-carbon saw blade, the thickness specification of a produced steel plate is 10-15 mm, the width specification is 4500-4800 mm, and the process route comprises the steps of molten iron pretreatment, converter smelting, LF furnace treatment, RH vacuum treatment, continuous casting, heating, rolling, hot straightening, slitting, flaw detection and warehousing. The steel comprises the following chemical components in percentage by weight: 0.67%-0.76% of C, 0.17%-0.37% of Si, 0.90%-1.20% of Mn, 0.50%-0.70% of Cr, less than or equal to 0.020% of P, less than or equal to 0.003% of S and the balance of Fe and inevitable impurities. A 70MnCr component basis is adopted for design, through optimized component design, blank size design, heating temperature and rolling process temperature control, intermediate blank thickness design, optimized straightening procedure design and the like, batch production of saw blade steel substrates is achieved, the plate shape is straight, the unevenness is smaller than or equal to 10 mm / 2 m, and a high-quality substrate is provided for subsequent quenching and tempering heat treatment.

The invention relates to a control method for a beta deformation texture of a TC18 titanium alloy die forging, and belongs to the technical field of titanium alloy part manufacturing. The control method for the beta deformation texture of the TC18 titanium alloy die forging comprises the steps that a, required beta < lt >; 100 gt; and [beta] lt; 111gt, 111gt; the volume fraction of the deformation texture is substituted into a formula (1) and a formula (2), quasi beta forging strain distribution is calculated, and epsilon demand 1 and epsilon demand 2 are obtained; v100 = 75.1 [epsilon] requires 1-12.1 # (1); v111 = 52.8 epsilon demand 2 + 3.15 # (2); wherein the Epsilon demand 1 and the Epsilon demand 2 are TC18 titanium alloy quasi-beta forging strain distribution; v100 is the required beta < lt >; 100 gt; deformation texture volume fraction; v111 is the required beta < lt >; 111gt, 111gt; and deforming the texture volume fraction. According to the method, the beta < lt > of the TC18 titanium alloy die forging is accurately controlled; 100 gt; and [beta] lt; 111gt, 111gt; and the deformation texture guides the shape and process design of the forge piece.

The invention belongs to the field of aero-engines, and discloses a low-pressure casting process design method for a fuel regulator and the fuel regulator. According to the method, modeling is conducted on the fuel regulator to obtain a three-dimensional model of the fuel regulator; based on the three-dimensional model of the fuel regulator, numerical simulation is conducted on the liquid lifting, mold filling and cooling solidification processes of the casting to predict metallurgical defects of the casting, the metallurgical defects of the casting are analyzed, and a simulation result is obtained; and optimizing low-pressure casting process parameters or / and a process based on an analog simulation result to finally obtain a low-pressure casting process optimization scheme of the fuel regulator. By adopting the method, the forming quality of the complex casting is improved, the blindness of trial-manufacturing depending on experience in the traditional process is reduced, and the product percent of pass is improved while the research and development period is shortened; and the cost loss caused by defect repair is greatly reduced, and a systematic process guarantee is provided for efficient and precise manufacturing of the aero-engine fuel regulator.