1890 results about "Smelting process" patented technology

The invention discloses a multi-parameter coupling intelligent regulation and control method and system in a vanadium ore smelting process, relates to the technical field of non-ferrous metal smelting automatic control, and solves the problems of feeding deviation and resource chain scission caused by slow response of an existing heat balance model to ore impurity fluctuation, online sensing lag and process island. The impurity concentration and the dielectric constant are obtained in real time through an LIBS / XRF combined probe and a microwave dielectric spectrum, rheological disturbance is dynamically corrected through extended Kalman filtering, a dynamic coupling response model is input, a thermodynamic interference factor is calculated, and a leaching and precipitation strategy is generated; performing mother liquor tail gas material flow collaborative optimization in parallel, constructing a multi-dimensional control vector U, performing iterative updating through near-end strategy optimization in a digital twin and issuing the multi-dimensional control vector U to an edge PLC (Programmable Logic Controller) in a distributed manner, and finally correcting a model weight through online XRD (X-Ray Diffraction) feedback; according to the method, the adaptive capacity to complex vanadium ore component disturbance, the response precision of online control and the inter-process resource circulation efficiency are remarkably improved.

The present invention relates to the technical field of steel plate production, and particularly to a thick steel plate for high-strength storage tanks with a low ductile-brittle transition temperature and a preparation method thereof. The chemical components in the steel are as follows: C: 0.22% - 0.26%, Si: 0.13% - 0.144%, Mn: 0.73% - 0.92%, P≤0.015%, S≤0.01%, Cr: 0.03% - 0.049%, V: 0.01% - 0.019%, Nd: 0.00016% - 0.00047%, and the balance is Fe and impurities. Microalloying is used to ensure the excellent internal structure and service performance of the steel plate; the purity of the molten steel is improved by optimizing the smelting process; the internal structure of the steel plate is optimized and the plate shape is improved by adopting a four-stage slab heating process and a three-stage controlled rolling process; the simulated post-weld heat treatment process is used to improve the strength-ductility matching and adjust the microstructure of the material, ensuring the low-temperature service performance of the steel plate in the full thickness direction.

The invention relates to the technical field of task scheduling, in particular to a task scheduling optimization system for a smelting process, which comprises a furnace temperature identification module, a hot load analysis module, a load screening module, a sorting regulation and control module and a task joint control module. According to the method, a stable operation section is screened based on thermocouple time sequence temperature difference fluctuation characteristics, task identification is ensured to be in tight fit with a real metallurgical process state, furnace profile thermal parameters and raw material attributes are introduced to dynamically estimate task thermal loads, and the heat adaptation relation between tasks and equipment is determined; safety load interval limitation is set in the screening task and furnace body combination process, the safety and matching precision of resource allocation are improved, meanwhile, cooling period limitation is embedded in task sorting to recognize delay tasks, scheduling continuity and task connection reasonability are enhanced, the capacity of a scheduling strategy for responding to actual operation constraints is improved, and the service life of the scheduling strategy is prolonged. The overall optimization of accurate task screening, reasonable load distribution and ordered scheduling sequence is realized.

The invention belongs to the technical field of circuit board metal smelting control, and discloses a circuit board metal smelting energy-saving parameter self-adaptive control system and method. The method comprises the following steps: carrying out real-time monitoring and fluctuation analysis on heating circuit voltage collected in unit time in the metal smelting process of the circuit board to obtain a voltage fluctuation level; processing the smelting state data acquired in unit time in the metal smelting process of the circuit board to obtain a smelting state characteristic data set, and identifying a current smelting stage; when the voltage fluctuation grade is greater than or equal to a preset voltage fluctuation grade threshold value, generating an energy-saving strategy control identifier in combination with the current smelting stage and the predicted smelting stage of the next unit time; dynamically adjusting energy-saving control parameters based on the voltage fluctuation grade, the smelting state characteristic data set and the energy-saving strategy control identifier; the intelligent self-adaptive control level of the circuit board metal smelting energy-saving parameters is enhanced, and energy-saving control is changed from passive execution to look-ahead response.

The invention belongs to the technical field of metallurgical industry process intelligent control and prediction, and discloses a self-adaptive mixed intelligent prediction method and system for smelting endpoint parameters of an electric arc furnace. Acquiring smelting process data of the electric arc furnace; constructing a dual-drive prediction system comprising a mechanism model and a data drive model; calculating a decision coefficient of a prediction value and an actual measurement value of the theoretical model, and counting an effective historical data volume; constructing a machine learning prediction model, and selecting a modeling algorithm according to the effective historical data volume; selecting a hybrid prediction strategy based on the decision coefficient and the effective historical data volume; predicting and outputting an end point carbon content predicted value and an end point temperature predicted value according to a hybrid prediction strategy; predictive deviation threshold value judgment and execution control are conducted, and the electric arc power, the oxygen blowing flow, the feeding speed or the cooling water flow are adjusted. Accurate prediction and dynamic optimization control of the electric arc furnace end point parameters are achieved, and the smelting quality, the energy utilization rate and the production stability are remarkably improved.

The invention relates to the technical field of metal smelting, and particularly discloses a mechanism data co-driven metal smelting process key process index sensing method, which comprises the following steps of S01, carrying out mechanism modeling in a smelting process, and providing a mechanism model for key process indexes to predict a key process index preliminary interpolation; s02, key process index accumulative error compensation: after a key process index preliminary interpolation is obtained through a mechanism model, spatial feature extraction is carried out on collected operation variables by introducing a CNN model, accumulative errors output by the mechanism model are compensated, and a complete key process index historical data sequence is obtained; and S03, based on probabilistic prediction of the compensation sequence, carrying out time sequence modeling and bidirectional feature capture on the sequence subjected to error compensation, improving the prediction precision in combination with an attention mechanism, and realizing prediction of each confidence interval and single-value prediction by adopting a mixed quantile regression mode. According to the method, the problem that the accuracy and the reliability of process index sensing in the traditional metal smelting process are low is solved.

The invention relates to a tin smelting process dynamic optimization control method, and belongs to the technical field of crossing of metallurgical engineering and artificial intelligence. Firstly, data are collected and preprocessed, abnormal values are removed, missing values are generated through cGAN, and data vacancy is made up; secondly, modeling is conducted on key state variables in the tin smelting process through an LSTM model, a complex time sequence change rule is captured, and metallurgical knowledge is embedded to serve as a constraint; then, a state updating model based on data driving is added into the reinforcement learning environment; and finally, a deep reinforcement learning algorithm is introduced, the operation parameters of the spray gun serve as an action space, and the state in the tin smelting process serves as a state space. And in the reward function design, the prediction result of the key parameter is fused, and a dynamic optimization control strategy is realized through intelligent agent learning. The method has the remarkable advantages in the aspects of dynamically optimizing the tin purity and reducing CO emission, and an innovative solution is provided for intelligent and efficient production of the metallurgical industry.

The invention belongs to the technical field of steel smelting, and particularly discloses a comprehensive utilization method of vanadium titano-magnetite, which comprises the following steps: S1, preparing the vanadium titano-magnetite into pellets, and carrying out reduction reaction to obtain direct reduced iron; s2, a carbonaceous reducing agent and the direct reduced iron obtained in the step S1 are mixed and smelted in a melt separation electric furnace, and slag and molten iron are obtained; a slag former is not added in the smelting process, the purity of the titanium slag is improved through optimal design of the furnace profile of the melting electric furnace and combination of various smelting process control means, the problems that refractory materials of the melting electric furnace are excessively eroded, the service life is short, slag-metal separation is difficult, smelting is difficult to control and the like are solved, and the purposes of high-grade titanium slag and long service life of the melting electric furnace are achieved.

The invention relates to the technical field of non-ferrous metal metallurgy, and discloses a multi-gun top-blown furnace high-temperature infrared monitoring spray gun position intelligent regulation and control method and system, and the method comprises the steps: carrying out the dimension reduction processing of key data in a blowing process through principal component analysis; processing the output preprocessed key data by using a recurrent neural network model; the recurrent neural network model captures a long-term dependency relationship of temperature change, predicts dynamic parameter change in the smelting process, and outputs an adjustment demand of the height of the spray gun; adjusting the height of the spray gun in real time by adopting a closed-loop control system based on the prediction result of the adjustment demand; and the predicted adjustment requirement of the spray gun height is converted into a control signal, and the spray gun height of the multi-gun top-blowing converting furnace is dynamically adjusted through an execution mechanism. The system comprises a data processing module, a height output module and a feedback loop module. According to the method, the height of the spray gun is continuously corrected and adjusted according to actual conditions, so that the stability and optimization effect of the process are kept.

The invention relates to the technical field of metal smelting, and discloses a control system and method for a multi-gun top-blown immersion bath smelting furnace, and the smelting furnace comprises a furnace wall surface, a bath solution, a metal sulfur discharge port, a slag outlet, swirl vanes, a feeding port, spray guns and a flue outlet. The system comprises a data acquisition module which is used for monitoring the temperature, the liquid level, the components and the material state in the multi-gun top-blown immersion molten pool smelting furnace in real time to obtain monitoring data in the multi-gun top-blown immersion molten pool smelting furnace; the data analysis module is used for cleaning the monitoring data to obtain the cleaned monitoring data, performing dimension reduction on the cleaned monitoring data, and identifying key features influencing the smelting quality and efficiency; and the prediction feedback module is used for constructing a smelting process theoretical model and an interaction model, and realizing dynamic monitoring data prediction and adaptive multi-gun top-blown immersion bath smelting furnace parameter adjustment in the smelting process. The output of the spray gun is automatically adjusted, system abnormity is prevented, and early warning is given out in time when potential risks occur.

The embodiment of the invention discloses an intelligent energy consumption regulation and control steel smelting system based on multi-energy complementation, and the system comprises a multi-energy complementation energy supply system which is used for integrating various energy forms, forming a dynamic cooperative energy supply network, and carrying out the energy cooperative operation according to an energy priority strategy and a dynamic matching mechanism; the intelligent regulation and control platform adopts a three-layer framework of'perception-decision-execution 'to coordinate energy flow and process operation between the multi-energy complementary energy supply system and the multi-energy coupling process equipment; the multi-energy coupling process equipment comprises hydrogen-based direct reduction ironmaking equipment, and hydrogen is used for replacing traditional coke to serve as a reducing agent for ironmaking; comprehensive energy supply monitoring and optimization can be carried out on the steel smelting process, various renewable energy sources are combined, and the problems that a single renewable energy source is intermittent, depends on a power grid and the like are effectively solved; meanwhile, the multi-energy complementary hydrogen storage process is coupled with the hydrogen metallurgy process, and the multi-energy cooperation problems of whole-process green power supply, waste heat utilization and the like are solved.

The invention discloses a novel tin-plated copper-clad aluminum alloy wire coating process and a preparation method, and the novel tin-plated copper-clad aluminum alloy wire coating process comprises the following steps: rolling an aluminum alloy material into an aluminum alloy rod through a continuous casting and rolling process in a smelting process; removing an oxide layer on the surface of the aluminum alloy rod; the surface of the aluminum alloy rod with the surface oxide layer removed is coated with a copper strip; drawing and exhausting after coating the copper strip to form a copper-coated aluminum alloy wire blank; the copper-clad aluminum alloy wire blank is subjected to drawing, medium wire drawing, fine wire drawing and annealing treatment to form a copper-clad aluminum alloy wire; and the copper-clad aluminum alloy wire enters a tinning machine and is coated with a tinning layer on the surface to form the tinned copper-clad aluminum alloy wire. The core wire of the tin-plated copper-clad aluminum alloy wire is the copper-clad aluminum alloy wire, the outer layer of the copper-clad aluminum alloy wire is copper, the interior of the copper-clad aluminum alloy wire is made of a high-strength and high-conductivity aluminum alloy material, and the mechanical property and the electrical property of the tin-plated copper-clad aluminum alloy wire are superior to those of a copper-clad aluminum wire, a copper-clad aluminum alloy wire and an aluminum-magnesium wire which are used at present.

The invention discloses a temperature and gas detection system and method based on an ultraviolet to near infrared spectrum, relates to the technical field of spectral measurement, and solves the technical problems that the space in a smelting furnace is occupied and the complexity of the system is increased due to the fact that two sets of independent equipment are adopted for temperature measurement and environment monitoring in the smelting process respectively in the prior art. The method comprises the following steps: acquiring spontaneous radiation light of a to-be-detected target; carrying out dispersive light splitting on the spontaneous radiation light to obtain spectral data of a full wave band from ultraviolet light to near-infrared light; performing denoising processing on the spectral data to obtain a spectrum of the to-be-detected target; obtaining temperature data according to the spectral analysis of the to-be-detected target; calculating based on the spectrum and a pre-established spectrum database to obtain gas concentration; the temperature of the to-be-measured target can be accurately measured, and the measurement accuracy is improved.

The application relates to a method for smelting high-manganese steel in a converter, and belongs to the technical field of steelmaking. The technical problem to be solved by the application is that the manganese content of end-point molten steel produced by a converter in the prior art is low. The technical solution provided by the application for solving the above technical problem is that carbon balls and high-carbon ferromanganese are added in stages according to oxygen supply amount in the smelting process of the converter, when the oxygen supply amount is within 0-10% and 10-80%, 30% and 70% of manganese alloy are respectively added; and when the oxygen supply amount is within 0-10%, 10-50%, 50-80% and 80-100%, 20%, 40%, 30% and 10% of carbonaceous raw materials are respectively added. Compared with the current process for producing high-manganese steel in a converter, the application reduces the investment of alloy heating furnaces and other equipment, meets the production requirements of more varieties of high-manganese steel, improves the metal yield of manganese, shortens the production cycle, and reduces the production cost of high-manganese steel.

The present invention discloses a method for separating niobium from niobium-containing ore, wherein the niobium coarse concentrate is mixed with a sulfiding agent to obtain a mixture, and the mixture is subjected to reduction smelting to obtain a reduced ore, and a niobium-rich product is directly obtained from the reduced ore, or the niobium-rich product is obtained after post-processing the reduced ore. Compared with the traditional reduction smelting process, the method for separating niobium from niobium-containing ore of the present invention can achieve separation of niobium from slag while achieving separation of slag and iron, and enrich niobium to obtain a high-grade niobium-rich product, which can be purified through further metallurgical processes. The process method of the present invention has strong operability, simple process, low requirements on load-bearing smelting equipment, and is easy to promote and apply industrially.

The invention discloses a production method of microalloy rare earth Ce high-strength steel. The production method comprises the following steps: 1) a smelting process; (2) refining; 3) continuous casting and casting blank treatment; 4) cooling the casting blank; (5) rolling and heat treatment are conducted, specifically, rough rolling is conducted through a 3800 mm four-roller reversible rolling mill, the initial rolling temperature is 1050-1150 DEG C, and the reduction rate is larger than or equal to 25%; finish rolling: a 4100mm four-roller mill is adopted, the finish rolling temperature is 850-900 DEG C, and the thickness tolerance is + / -0.5 mm; cooling control is conducted, laminar flow accelerated cooling is adopted, the cooling rate is 15-25 DEG C / s, the final cooling temperature is 500-600 DEG C, and grain coarsening is inhibited; quenching: performing oil quenching to 150 DEG C or below, wherein the cooling rate is greater than or equal to 20 DEG C / s; and tempering: carrying out heat preservation at 620 DEG C for 30 minutes, and carrying out air cooling. The invention aims to prepare the high-strength steel which not only meets the strength requirement but also has good processability and economic benefits by accurately controlling the addition amount of the rare earth element Ce and production process parameters.

The invention discloses a production method of a novel rare earth submerged arc welding wire steel wire rod for pipeline steel. The specific technological process is as follows. Blast furnace molten iron preparation, molten iron pretreatment, converter top and bottom combined blowing smelting, LF refining, VD vacuum treatment, small square billet continuous casting, steel billet heating, high-pressure water descaling, rough rolling, flying shearing, intermediate rolling, kick shearing, finish rolling, controlled cooling water tank, spinning, stelmor cooling, coil collecting, trimming, sampling inspection, collecting and bundling and weighing -a finished wire. According to the novel production method of the rare earth submerged arc welding wire steel wire rod for the pipeline steel, by adding rare earth elements and novel alloy elements, the comprehensive performance, including but not limited to the low-temperature toughness impact performance, strength, toughness, corrosion resistance and the like, of welding wire steel is improved. Meanwhile, the rare earth element and the nickel element are added, the smelting process is optimized, composition segregation and inclusions are reduced, the porosity is reduced, and the strength and toughness of the welding wire steel are improved.

According to the efficient smelting method and device for the silicon-manganese alloy, the manganese ore and the silica are crushed into proper particle sizes, the contact area between the raw materials is increased, the reaction speed is increased, the raw materials are fully reacted in the furnace, the proportion of the raw materials is adjusted, the reaction is more sufficient, and the qualified rate of products is increased; during smelting, a high-precision sensor is used for monitoring parameters such as temperature, pressure, current and voltage in the furnace in real time, a distributed control system is used for automatically adjusting smelting process variables such as electrode lifting, power supply power and raw material feeding speed according to the parameters monitored in real time, and it is ensured that reaction in the furnace is conducted in the optimal state; smelting hot air is filtered through the filter box and then discharged into the mixing box through the centrifugal suction pump, raw materials are scooped up and fall down while mechanical mixing is conducted, the sufficient mixing and preheating effect is guaranteed in cooperation with hot air introduction, and finally the effects of improving the heat source utilization rate, sufficiently mixing and preheating and efficiently smelting are achieved.

The invention discloses a smelting process monitoring system of a medium-frequency electric furnace and a process guidance method of the smelting process monitoring system. The system comprises an edge acquisition terminal and a cloud platform, the edge acquisition terminal comprises an intermediate frequency voltage transmitter used for acquiring a voltage signal at the output side of the intermediate frequency electric control cabinet and converting the voltage signal into a first analog signal; the intermediate-frequency current transmitter is used for collecting a current signal at the output side of the intermediate-frequency electric control cabinet and converting the current signal into a second analog signal; the analog quantity conversion module is used for converting the first analog signal and the second analog signal into digital signals; the intelligent thermodetector is used for measuring the temperature of the molten metal in real time and sending temperature data; the cloud platform is used for receiving and processing the digital signal and the temperature data and storing high-frequency sampling data; identifying a smelting stage through an LSTM network; power control is optimized on the basis of a Transform model and a GAN model; and integrating an expert knowledge base and providing process guidance. According to the system, comprehensive digitization and real-time accurate sensing of the smelting process are achieved; and the timeliness and scientificity of decision making are improved.

The invention relates to the technical field of metal smelting, and particularly discloses a preparation method of a high-purity IN718 alloy material. According to the method, on the premise that the mechanical property result redundancy of the IN718 alloy material is large, the content of inclusions and formation of carbides in the steelmaking process are reduced by optimizing the content of C, N and Nb elements in the vacuum induction melting process, reducing the refining temperature and reducing the melting speed of vacuum self-consuming remelting; and in cooperation with two-heating-number upsetting and drawing deformation in the forging process, the situation that carbides in the IN718 alloy material are dispersed unevenly due to segregation is avoided. According to the high-purity IN718 alloy material and the preparation method thereof, the content of carbides in steel ingots is remarkably reduced by controlling all parameters in the duplex process, the overall level of the carbides in the high-purity IN718 alloy material is smaller than or equal to 2.0 level after homogenizing diffusion annealing, forging, machining and heat treatment, the purity of the existing IN718 alloy material is improved, and the use requirements of special equipment such as deep sea equipment and nuclear power equipment can be met.

The invention provides a method for recovering copper and diluting matte converting slag through self-heating collaborative smelting, and relates to the field of metal recovery. The method comprises the steps that liquid copper matte converting slag generated in the copper smelting process is directly discharged into a hot-state collaborative smelting furnace, multi-source copper-based solid waste subjected to coarse crushing and mixing is added, collaborative smelting is carried out under the oxygen-enriched air condition, and collaborative smelting comprises the melting period, the dilution period and the standing period; in the melting period, copper, aluminum, iron, lead and tin in the copper-based solid waste are quickly melted to form first crude copper; in the depletion period, aluminum and iron in the first crude copper and organic matter in the copper-based solid waste serve as reducing agents to reduce oxides of copper, nickel, cobalt, zinc and lead in the matte converting slag into metal states, the metal states enter the first crude copper to form second crude copper, and after being oxidized, the iron and the aluminum enter the matte converting slag to form second slag; and in the standing period, a reducing agent is added, air blowing is ended, third crude copper and third slag are formed after standing, and a crude copper product is collected.

The invention relates to a titanium alloy smelting quality management method and system. The method comprises the steps that real-time monitoring data in the titanium alloy smelting process are collected; classifying and storing the real-time monitoring data to obtain historical process data; performing equipment abnormity early warning based on the equipment operation data and a preset first early warning rule, and generating first early warning information; obtaining a process capability index based on the process control node data, performing process data deviation early warning based on the obtained process capability index and a preset second early warning rule, and generating second early warning information; performing product manufacturing and detection early warning based on the ingot casting product manufacturing and detection data and a preset third early warning rule, and generating third early warning information; and displaying and processing the first early warning information, the second early warning information and the third early warning information in a man-machine interaction mode. Effective guidance is provided for quality management of titanium alloy smelting, and potential problems can be found and eliminated in time.

The invention belongs to the technical field of vanadium enrichment mechanisms of phosphorus vanadium ores, and discloses a research method of a vanadium enrichment mechanism in a diagenetic stage of phosphorus vanadium ores, which comprises the following steps: S1, sample collection and treatment; s2, rock ore identification and mineral composition analysis; s3, analyzing the occurrence state and microcell morphology of vanadium; s4, performing geochemical analysis on the whole rock; s5, in-situ microcell geochemical analysis is carried out; s6, phosphorus nodule analysis; s7, comprehensive analysis and mineralization model establishment; according to the method, mineralogy, total rock geochemistry, micro-area surface scanning and other multi-scale and multi-means research methods are comprehensively utilized, and the vanadium occurrence state, the ore-forming fluid evolution and the phosphorus-vanadium coupling relation are finely described; in-situ microcell geochemical analysis is introduced into phosphorus nodule analysis, the internal structure, the growth sequence and element distribution of the phosphorus nodule are directly revealed, obvious frontier and systematicness are achieved, and reliable theoretical support is provided for accurate exploration of vanadium ore resources and green and efficient dressing and smelting process research and development.

The invention relates to the technical field of platinum smelting, and discloses a platinum smelting impurity prediction and process optimization system based on deep learning. A feature extraction module of the system extracts a multi-scale smelting feature component through a deep convolutional neural network and calculates a complexity index; the key feature determination module identifies key smelting features most related to impurity sources; the optimization parameter generation module is used for generating personalized optimal regulation and control parameters in combination with historical smelting baseline characteristics, smelting state characteristics and complexity indexes; the sequence reconstruction module reconstructs the feature sequence and decomposes the feature sequence into a slow-varying component reflecting the steady-state characteristic of the impurity and a fast-varying component reflecting the dynamic change of the impurity; the impurity prediction module determines impurity types and generates a mapping relation between the impurity types and smelting process parameters; and the process optimization execution module generates a control instruction based on the mapping relation to realize smelting process optimization. According to the system, through cooperation of multiple modules, precise prediction of platinum smelting impurities and dynamic optimization of the process are achieved.

The invention belongs to the technical field of ferrous metallurgy, and discloses an intelligent self-adaptive converter smelting fire point area temperature monitoring system and method.The intelligent self-adaptive converter smelting fire point area temperature monitoring system comprises an oxygen lance, a gas supply module, a cooling module, a communication module and an edge calculation module, and the gas supply module and the cooling module are both connected with the oxygen lance; a multi-mode temperature sensor set is integrated in the oxygen lance, a communication module is installed on the outer side of the oxygen lance, and the cooling module, the air supply module and the multi-mode temperature sensor set are all in communication connection with the edge calculation module through the communication module. The technical scheme provided by the invention has the characteristics of high real-time performance, high intelligence, good safety and the like, and is suitable for a modern converter smelting process.

The invention discloses a fuming furnace smelting process control method and system, a terminal and a readable storage medium. The method comprises the following steps: constructing a normal association relationship among initial multi-source data in a stable operation state of a fuming furnace; collecting current multi-source data of the fuming furnace in a current operation state; identifying association deviation according to the normal association relationship and the current multi-source data; identifying an abnormal state according to the correlation deviation; and according to the abnormal state, the smelting area is finely controlled. According to the control method and system for the smelting process of the fuming furnace, the normal incidence relation among the multi-source data is constructed, the abnormal state can be recognized more accurately, then the smelting area is finely controlled, and therefore the control accuracy of the smelting process can be improved, unnecessary energy consumption and process fluctuation can be reduced, and the smelting process can be controlled more accurately. And meanwhile, local abnormity can be rapidly and effectively eliminated, further deterioration of the local abnormity is prevented, and automatic control over the smelting process of the fuming furnace can be achieved.

The invention relates to a high-carbon steel wire rod, a smelting system and a short-process high-efficiency low-cost smelting method. On the basis of real-time monitoring and identification at different stages of an electric furnace smelting process, a power supply curve, an oxygen supply curve and a charging and carbon spraying curve are formulated according to the characteristics of different stages of electric furnace smelting; and efficient and accurate automatic control over the electric furnace smelting process of the high-quality high-carbon steel wire is achieved.

The invention provides a method for improving homogenization of a bearing steel casting blank, belongs to the technical field of steel smelting processes, and solves the technical problems that in the continuous casting process of bearing steel, large-size compounds are easily formed due to high carbon and high chromium content, and micro segregation regulation and control of the bearing steel are difficult to solve by traditional electromagnetic stirring and soft reduction process parameters. According to the method for improving the homogenization of the bearing steel casting blank through soft reduction and tail end electromagnetic stirring coupling, a bearing steel continuous casting solidification mathematical model is established and corrected, and pouring condition technological parameters are input to provide basic data and boundary conditions for establishing the bearing steel continuous casting solidification heat transfer mathematical model; the method is applied to soft reduction process parameter design and is matched with adjustment of the tail end electromagnetic stirring position, the soft reduction technology and tail end electromagnetic stirring are coupled to be implemented, the solid fraction coupling rule between soft reduction and tail end electromagnetic stirring is determined, the homogeneity of a casting blank is jointly improved from the two dimensions of solidification structure and solute distribution, and center segregation is improved; and the structure uniformity is improved.

The invention relates to the technical field of steel plate production, in particular to a low-ductile-brittle-transition-temperature high-strength thick steel plate for a storage tank and a preparation method of the thick steel plate. The steel comprises the following chemical components in percentage by weight: 0.22%-0.26% of C, 0.13%-0.144% of Si, 0.73%-0.92% of Mn, less than or equal to 0.015% of P, less than or equal to 0.01% of S, 0.03%-0.049% of Cr, 0.01%-0.019% of V, 0.00016%-0.00047% of Nd and the balance of Fe and impurities. The excellent performance of the internal structure and the service performance of the steel plate is guaranteed through microalloying; the purity of the molten steel is improved by optimizing a smelting process; a four-stage plate blank heating process and a three-stage controlled rolling process are adopted to optimize the internal structure of the steel plate and improve the plate shape; the microstructure of the material is adjusted while the obdurability matching is improved by simulating the postweld heat treatment process, and the low-temperature service performance of the steel plate in the full-thickness direction is guaranteed.

The preparation method for improving the strength of the pure titanium bar comprises the following steps that firstly, zero-order large-particle sponge titanium and alloy element raw materials are mixed, pressed into an electrode block and welded, and a primary electrode is obtained; 2, performing vacuum consumable smelting for the third time to obtain a low-alloying titanium cast ingot; thirdly, cogging forging, upsetting and drawing deformation, remelting and drawing out are conducted, and a square blank is obtained; 4, heating and multi-pass rolling are conducted, and a bar billet is obtained; and 5, carrying out heat treatment, discharging and cooling to obtain the high-strength titanium bar. The low-alloying titanium cast ingot is obtained by properly increasing the content of Fe and O in the smelting process and adding not more than 0.5% of Al and not more than 1% of Zr, and the low-alloying titanium cast ingot is subjected to cogging forging, upsetting and drawing deformation, remelting, drawing, hot rolling and heat treatment in a matched mode, so that the effects that the structure is refined and uniform, and the strength is high are achieved. The tensile strength of the obtained high-strength titanium bar is about 50 MPa or above higher than that of conventional TA4, and batch production is easy to achieve.