485 results about "Molten bath" patented technology

The invention provides a molten pool grain solidification analysis method and device based on a continuous growth limiting factor, and belongs to the field of material processing. The method provided by the invention comprises the following steps: establishing a first relationship between a continuous growth limiting factor and a model for predicting the continuous growth rate of crystal grains; according to the first relationship, determining a second relationship between a model for predicting the continuous growth rate of the crystal grains and the solidification path, and along with the increase of the solidification path, exponentially increasing a growth curve corresponding to the second relationship; determining a demarcation point according to the correlation among the solute concentration, the welding speed and the solidification path; calculating the curvature radius of each point on the growth curve; and determining a demarcation point of plane growth and cellular growth according to the calculated curvature radius. According to the molten pool grain solidification analysis method and device based on the continuous growth limiting factor, provided by the invention, help can be provided for establishing a solidification mode conversion criterion near a melting boundary and mastering a grain size evolution rule.

The invention relates to a method for preparing a carbon nanotube reinforced copper-silver-based electrical contact composite material based on a liquid phase atomization method, and belongs to the technical field of electrical contact preparation. The preparation method comprises the following steps: carrying out hot pressed sintering on mixed powder of reinforcement powder, copper powder and silver powder, solidifying the powder to form an Ag-coated CNTs / Cu-Ag composite material block, and then preparing the Ag-coated CNTs reinforced Cu-Ag-based electrical contact composite material through a process route of solid solution, extrusion and aging. The preparation method disclosed by the invention is simple to operate and stable in preparation process, and the mechanical and electrical properties of the prepared composite material can respectively reach 157HV and 103% IACS (International Annealed Copper Standard) and above; according to the method, ablation and damage of the surface of the electrical contact in the working process are relieved, the viscosity of a molten pool is increased, the contact resistance in the electrical contact process can be reduced, the current concentration phenomenon and the temperature rise effect at a contact point can be relieved, the mass loss of an electrical contact material is reduced, the maintenance cost is reduced, and the method has good application prospects in the field of electrical contact materials.

The invention discloses a converter steelmaking molten pool carbon content detection method and system, a medium and a terminal, and the method comprises the steps: responding to a converter steelmaking signal, starting a three-section model, and obtaining the height of an oxygen lance and the oxygen flow of the oxygen lance in real time in the converter steelmaking process; a first carbon content detection value of a molten pool in the converter at the current moment is obtained through real-time analysis by utilizing a three-section type model and combining the height of an oxygen lance, the oxygen flow of the oxygen lance, the weight of waste steel added into the converter, the weight of molten iron and the carbon content; when the converter is in the last steelmaking stage, if a detection signal sent by the detection equipment is received, a second carbon content detection value of the molten pool in the converter at the current moment is obtained through real-time analysis based on the detection signal, and the first carbon content detection value and the second carbon content detection value are fused to obtain a carbon content detection result of the molten pool at the current moment. According to the method, the influence of the oxygen lance position, the oxygen flow and feeding on the decarburization rate is considered, the carbon content detection in the whole steelmaking process is realized, and the detection precision in the last steelmaking stage is optimized.

The invention discloses a heat-resistant aluminum alloy material and a preparation method and application thereof, and belongs to the technical field of additive manufacturing aluminum alloy materials. The heat-resistant aluminum alloy material comprises the following components in percentage by mass: 0.5-6% of Fe, 0.5-6% of Cr, 0.5-3% of Ti, less than or equal to 2% but not equal to 0 of Mn, less than or equal to 2% but not equal to 0 of Sc, less than or equal to 2% but not equal to 0 of Zr and the balance of Al and inevitable impurities. By optimizing the component proportion, the preparation method and the like, in the microstructure of the heat-resistant aluminum alloy material, the interior of the heat-resistant aluminum alloy material is of a bimodal grain structure, the boundary of a molten pool is mainly isometric crystals, the center of the molten pool is columnar crystals, and an icosahedron nanometer quasi-crystal phase and an intermetallic compound strengthening phase are further distributed on the boundary of the molten pool and the center of the molten pool in a dispersed mode; the problems that when a traditional aluminum alloy material is used for additive manufacturing forming, hot cracks or macroscopic cracks occur, and the mechanical property of a formed product is poor are fundamentally solved.

The invention relates to the technical field of metal composite materials, in particular to a metal composite material production process dynamic simulation method based on digital twinning. Comprising the following steps: constructing a digital twin model comprising a physical entity layer, a virtual model layer and a connection layer, and establishing a Fourier neural operator model embedded with a Navier Stokes equation and a heat conduction equation constraint; real-time molten pool monitoring data are mapped into model input through a connecting layer, and advanced time step deduction is executed by using a deep learning model to predict the state of a molten pool; based on the differentiable characteristic of a physical information neural operator, calculating the gradient of a prediction state and an ideal target by using an automatic differential algorithm, generating a process parameter field through reverse iteration updating, and discretizing the process parameter field into a galvanometer control instruction; and when the risk of aggregation of the reinforced phase particles is predicted to exist, automatically generating a swing scanning strategy to realize active suppression. The method gives consideration to simulation precision and real-time performance.

The invention relates to a density improving method for an additive manufacturing metal material. The density improving method comprises the steps that metal powder with performance parameters meeting printing requirements is screened out; establishing a to-be-formed part model, and performing slicing treatment and path planning; determining a first range of the depth of the molten pool according to a relational expression among the layer cutting thickness, the actual powder laying thickness and the depth of the molten pool; determining a second range of the depth of the molten pool according to a calculation formula between the lap joint rate and the depth of the molten pool; the intersection of the two ranges of the molten pool depth is obtained to obtain a third range, namely the final molten pool depth range; determining a scanning melting process parameter range according to the third range; and selective melting forming is conducted. According to the method, control over the powder performance is matched with process parameters, the depth range of the molten pool is determined according to the cutting layer thickness, the actual powder laying thickness and the relational expression between the lap joint rate and the depth of the molten pool, then scanning melting process parameters are determined according to the depth range of the molten pool, and the additive manufacturing metal component which is compact in interior and fine and uniform in microscopic structure is obtained.

The invention discloses a copper smelting method of an Ausmelt furnace without a top-blowing spray gun, and relates to the technical field of copper smelting of the Ausmelt furnace, and the copper smelting method comprises the following steps: (1) spraying coal powder and mineral powder into a molten pool through an ore gun and a coal gun of the Ausmelt furnace without the top-blowing spray gun; (2) a side-blowing combustion gun of the Ausmelt furnace without the top-blowing spray gun sprays fuel to the molten pool; and (3) when the copper matte reaches the target grade 58-62%, ending the reaction, recording the melt temperature distribution, measuring the viscosity of the slag, and taking the slag sample for analyzing the content of Fe3O4. The Ausmelt furnace without the top blowing spray gun comprises a flue, a baffle, a combustion gun, an ore gun and a coal gun, a flue is arranged on the upper portion of the furnace body, a baffle is arranged below the flue, combustion guns are symmetrically arranged on the furnace body above a slag layer, coal guns are symmetrically arranged on the furnace body at the junction of the slag layer and a molten copper bath, ore guns are symmetrically arranged on the furnace body at a molten copper bath layer, and pressure gauges are arranged on the ore guns and the coal guns.

The invention provides a nickel-based rare earth composite powder material for high-speed laser cladding and a preparation method of a nickel-based rare earth composite coating, and relates to the technical field of laser cladding and metal surface modification. The nickel-based rare earth composite coating takes Inconel 625 nickel-based alloy as a matrix phase material; a trace amount of rare earth oxide Y2O3 is introduced into a powder system to serve as a second phase enhancing component, and the material is prepared and formed at a time under the condition of a high-speed laser cladding process; in the high-speed laser cladding process, due to high scanning speed, low heat input per unit length and high cooling rate, metal liquid in a molten pool has the characteristic of rapid solidification; the rare earth oxide Y2O3 can stably exist in a molten pool, the particle surface of the rare earth oxide Y2O3 provides a large number of heterogeneous nucleation cores for the alloy solidification process, meanwhile, grain growth is restrained through the grain boundary pinning effect, and therefore the solidification structure form of the nickel-based cladding coating is remarkably improved.

The invention relates to a metal additive manufacturing three-dimensional temperature field Gaussian process prediction method, belongs to the technical field of material science, and particularly relates to a metal additive manufacturing three-dimensional temperature field prediction method. Logarithmic transformation is adopted to preprocess a temperature field, and prediction difficulty caused by extreme gradient near a molten pool is avoided; dividing the overall computational domain into a plurality of sub-domains by adopting a domain decomposition strategy to reduce the problem dimension; for each sub-domain, further combining singular value decomposition to extract a temperature field reduced-order base; establishing a local Gaussian process regression model based on a Maren kernel function and carrying out parallel training so as to establish rapid mapping from process parameters to reduced-order output; during online prediction, efficient and accurate prediction of a complete temperature field is realized through parallel calculation and full-field assembly of each local model.

The invention belongs to the field of thin-strip continuous casting, and relates to a method for reducing the occurrence rate of edge cracks of double-roller continuous casting hot-rolled strip steel. The method comprises the steps of optimizing the angle of a flow guide hole in the end of a molten pool flow distribution water opening, increasing the flow speed of molten steel in the flow guide hole, and solving the problem that temperature distribution in the width direction of molten steel in the molten pool is remarkably uneven, especially the problem that the temperature of molten steel near a side sealing plate in the molten pool is low. According to the method disclosed by the invention, by adopting the control means, the occurrence rate of edge cracks of the hot-rolled strip steel can be effectively reduced when the strip steel is produced by adopting a double-roller cast-rolling process. According to the method, under the condition that the production cost is not increased, the surface quality of the strip steel produced through the double-roller thin-strip cast-rolling technology is effectively improved, and the edge cracks of the strip steel account for more than 50% of the plate surface cracks and are reduced to less than 10% of the plate surface cracks.

The invention relates to a multi-physics field coupling method for a smelting process of a ferronickel heating furnace, and relates to the multi-physics field coupling method for the ferronickel heating furnace, the method comprises the following steps: establishing a ferronickel heating model, importing the ferronickel heating model into ICEM software for grid division, and finally importing a grid into FLUENT; according to the method, based on a Maxwell's equation and an Ohm's law, an electrothermal conversion algorithm, an electromagnetic induction algorithm and a multiphase heat transfer and mass transfer algorithm are compiled in combination with a user-defined function (UDF), so that a mathematical analysis model for mutual coupling of multiple physical fields, multiphase flows and furnace body thermal stress in smelting of the submerged arc furnace is established. The model is combined with a radiation model, a turbulence model, a multi-phase flow model and a static structure model, a heat and mass transfer mechanism among an electric arc, a molten pool and a furnace body is disclosed, an influence mechanism of a furnace body structure and a multi-physical field on furnace body temperature distribution is explored, and an action mechanism between the furnace body temperature and thermal stress is clarified, so that the deformation position and deformation amount of the furnace body are predicted.

The invention discloses test equipment and a test method for interaction of a melt and a nuclear power special material. The test equipment comprises a smelting chamber, a smelting container assembly, an electromagnetic and shielding control system, a gas control system, a temperature measurement system and a remote operation system, the smelting container assembly is located in the smelting chamber, the smelting container assembly is used for containing test materials including melts and nuclear power special materials, and at least part of the electromagnetic and shielding control system is located in the smelting chamber and wraps the outer side of the smelting container assembly so as to conduct electromagnetic induction heating on the melts; nuclear power special materials are shielded from electromagnetic interference; the gas control system is used for providing a gas environment for the interior of the smelting container assembly and extracting gas for filtering, discharging, collecting or analyzing, the temperature measuring system is used for measuring the temperature in the molten pool and the temperature of the nuclear power special material, and the remote operation system is used for remotely controlling the test equipment to complete test operation.

A method for treating hazardous waste using a coal-based short-process system belongs to the field of hazardous waste treatment technology. The method of the present invention first performs deep reduction on the material, then uses a coal-based lance to generate heat in a molten bath to heat the material to a molten state, and then uses electrodes to heat the melt to separate the slag and matte, resulting in qualified matte. The molten bath produces high-temperature flue gas rich in carbon monoxide, which is fully combusted in a rotary kiln. When producing alloys, ore and coal are heated and deep reduction is performed. No reducing agent is required to produce matte, and sufficient sulfide allows the ore to be sulfided in the rotary kiln. The rotary kiln and molten bath furnace adopt an integrated configuration to reduce heat loss. Coal powder is directly delivered to the working surface, effectively avoiding the ineffective consumption of carbonaceous reducing agents and further enhancing the reduction effect. The method of the present invention has the characteristics of a short process, simple operation, easy control, strong raw material adaptability, high production efficiency, low production cost, low equipment investment, low energy consumption, high copper recovery rate, and environmental friendliness.

The invention relates to the technical field of side-blown furnace smelting, and discloses a nonlinear intelligent control system and method for side-blown bath smelting, and the method comprises the steps: building a computational fluid mechanics and physical neural network coupling model according to boundary condition data, and carrying out the calculation of the boundary condition data, and obtaining the dynamic data of a multiphase flow physical field; predicting the molten pool liquid level fluctuation state; analyzing the prediction result to obtain the frequency and the amplitude of the intense liquid level fluctuation region; determining liquid level fluctuation dominant frequency and amplitude according to the frequency and amplitude of the intense liquid level fluctuation area; the main frequency and the amplitude of the liquid level fluctuation are fed back to a central control system to be integrated, and working parameters of jet flow are obtained; and calculating the frequency and the peak value of liquid level fluctuation based on the jet flow working parameters, and if the frequency and the peak value exceed preset values, adjusting the frequency and the amplitude of the side-blown nonlinear synthetic jet flow. The system comprises a boundary data acquisition module, a liquid level prediction module and a liquid level data integration module. Peak shifting regulation and control of the side blowing gas speed and the molten pool liquid level fluctuation condition are achieved.

The invention belongs to the technical field of metal additive manufacturing, and particularly relates to a metal additive manufacturing multi-field coupling problem numerical simulation method which is suitable for powder scale heat-fluid-solid coupling simulation in the metal additive manufacturing powder melting, flowing, solidification and deformation processes. The method is based on a superposition refinement thought, and a computational domain of a separation material is a dynamic superposition region of a basic region. The basic area is used for solving a macroscopic thermal-solid coupling process, the dynamic superposition area is used for solving a mesoscopic thermal-fluid-solid coupling process, and interfaces of the two areas are dynamically and fixedly connected, contacted and coupled. According to the method, the computing resources can be effectively distributed to the molten pool and important areas nearby the molten pool, and the computing efficiency is greatly improved.

A slag barrier plate for a side-blown melting furnace with a melting bath, characterized in that it comprises: a slag barrier unit (1) with a plate body (11) for holding back molten slag; a heat dissipation unit (2) comprising: a cooling water jacket (21) extending through the interior of the plate body (11) to continuously introduce cooling medium into the plate body (11) to lower its temperature; a distributor arrangement (22) arranged at the end of the cooling water jacket (21) to introduce the cooling medium into the cooling water jacket (21).

The invention relates to the technical field of metallurgy, in particular to a method for extracting vanadium from vanadium-containing molten iron, which comprises the following steps: the vanadium-containing molten iron directly flows into a bottom blowing furnace from an iron outlet; blowing oxidizing gas into the bottom of the bottom blowing furnace; three temperature measuring holes are respectively formed in the end part, the middle part and the tail part of the top of the bottom blowing furnace, and the temperature is measured once every 10-30 minutes; according to the temperature measurement result, one or more of a heating agent, a cooling agent and a flux are added from the top of the bottom blowing furnace, and the temperature in the bottom blowing furnace is controlled to be 1260-1330 DEG C; and semi-steel is discharged from a tapping hole every 10-30 minutes, and vanadium slag is dropped from a slag discharge hole every 20-60 minutes. According to the method for extracting vanadium from the vanadium-containing molten iron, oxidizing gas is blown in through bottom blowing, and a heating agent, a cooling agent and a flux are added from the top, so that the temperature of a molten pool is controlled not to exceed 1350 DEG C, it is ensured that the temperature of the molten pool is lower than the'carbon-vanadium conversion 'temperature of 1350 DEG C, the effect of'vanadium removal and carbon retention' is achieved, the carbon content of semi-steel is 3.65%-4.0%, the vanadium content of the semi-steel is 0.001%-0.02%, and the smelting requirement of the semi-steel is met.

The present application discloses a method and device for detecting the carbon content of a converter, a storage medium, and an electronic device. The method includes: determining the flue gas analysis lag time of the converter's flue gas analysis system, wherein the flue gas analysis system is used to detect the flue gas components of the converter; determining the sub-gun carbon measurement lag time of the converter's sub-gun for measuring the carbon content of the molten pool; determining the target measurement time based on the flue gas analysis lag time and the sub-gun carbon measurement lag time; starting from the target measurement time, determining the detected carbon content of the converter's output molten pool according to a preset frequency and a preset formula, wherein the preset formula is used to calculate the detected carbon content based on the real-time flue gas flow rate, flue gas components, and steel output. This method solves the problem that the method of detecting carbon content in the related art has large errors and cannot meet the needs of production scenarios with smaller errors.

Method for manufacturing a part made of an aluminum or magnesium-based alloy, comprising the additive manufacturing of the part by melting the alloy and forming a molten bath (18) using the energy supplied by a laser beam (10) emitted along a first axis (A), characterized in that the molten bath (18) is subjected to ultrasound (22) by means of a transducer (24) which emits the ultrasound (22) along a second axis (B) inclined at an angle (α) of between 10 and 80° relative to said first axis (A). Figure for the abstract: Figure 1

The invention aims to provide a method and equipment for identifying contour information of a molten pool, a medium and a program product. The method comprises the following steps: acquiring image information of the molten pool; based on the molten pool image information, corresponding molten pool contour information is determined through a trained molten pool contour recognition model, the molten pool contour recognition model comprises a molten pool contour tracking model and a molten pool contour detection model, the molten pool contour tracking model is used for positioning the area where a molten pool is located, and the molten pool contour detection model is used for detecting the molten pool contour. And the molten pool contour detection model is used for identifying the contour of the molten pool in an area where the positioned molten pool is located. The area where the molten pool is located is rapidly positioned through the molten pool contour tracking model, and then the molten pool contour detection model is used for further performing more detailed molten pool contour detection in the target area, so that the anti-interference capability to noise is improved; the image processing rate can be further improved while segmentation errors caused by backgrounds or other interference objects are avoided.

The invention discloses a smelting method of cold direct reduced iron in a Consteel electric furnace, belonging to the technical field of electric furnace steelmaking. The smelting method comprises the following steps: at the beginning of smelting, low-grade power supply is adopted, and at the same time of power-on, oxygen lances and carbon lances on the furnace wall are used to blow oxygen and spray carbon to produce foamed slag for submerged arc. After 1-3 minutes, scrap steel is continuously added by the Consteel system, and cold direct reduced iron is added through the fifth hole of the electric furnace. The molten steel in the furnace is heated by the electric arc, and the molten steel melts the metal materials in the furnace; during the whole smelting process, lime and light burned dolomite are added in batches. The addition amount of lime is 30-50 kg / t of steel, and the addition amount of light burned dolomite is 25-30 kg / t of steel. The invention helps to maintain the whole-process flat bath smelting, reduce the power consumption of electric furnace smelting, and reduce the smelting cost; it provides a technical solution for a short-process demonstration plant for the efficient use of direct reduced iron in an electric furnace, filling the domestic technical research gap in the short-process industry of electric furnaces.

This application provides a method for clean smelting of an electric arc furnace with bottom blowing of oxygen-containing multi-component gas, which relates to the metallurgy field. The method includes: at the beginning of smelting, input the standard safety pressure value P f into the main control system, and input the standard safety temperature value T f into the main control system; when the molten bath temperature T < 1500 °C, argon is used for bottom blowing in the electric arc furnace; when the molten bath temperature T ≥ 1500 °C, argon and oxygen-containing gas including oxygen and carbon dioxide are used for bottom blowing, and the proportion and flow rate of the oxygen-containing gas are adjusted according to the C content in the molten bath, the bottom blowing pressure and temperature. This method utilizes the reaction between the oxygen-containing gas and the elements in the steel, improves the utilization efficiency of oxygen in the molten steel, strengthens the stirring ability of the molten bath, promotes dephosphorization and denitrification of the molten steel, and ensures that the composition of the molten steel meets the standards. At the same time, it slows down the influence of the oxygen-containing gas on the service life of the bottom blowing element, shortens the smelting cycle, improves the production efficiency, reduces the smelting cost, and realizes the high-efficiency and clean smelting of the electric arc furnace.

The invention relates to the technical field of high-temperature melt temperature monitoring, and discloses a top-blown furnace high-temperature melt temperature and splashing online monitoring system and method, and the system comprises a top-blown furnace data acquisition module, a furnace body splashing data calculation module and a smelting process control module. The method comprises the following steps: transmitting detected data to a data calculation module in real time; performing interface reconstruction on the real-time data to obtain the specific condition that the melt is splashed to the wall surface, and realizing visualization of impact of the melt on the furnace body according to the specific condition that the melt is splashed to the wall surface; the visual data is transmitted to the smelting process control module; and on the basis of the molten pool temperature distribution and the melt splashing condition, the flow of pulverized coal, dry powder and gas is adjusted, a melt temperature liquid level model is constructed, the molten pool temperature and the melt splashing condition are evaluated, and the smelting process is controlled according to the evaluation result. According to the method, the smelting quality problem caused by melt splashing and uneven temperature can be reduced.

The utility model provides a vacuum induction furnace, which belongs to the technical field of metallurgy and comprises a vacuum induction furnace body and a siphon deslagging device arranged on the vacuum induction furnace body. The siphon deslagging device comprises a slag collecting and separating device and a deslagging channel; the slag collecting and separating device is arranged at the upper part of a molten pool of the vacuum induction furnace body; the deslagging channel comprises an inner channel vertically arranged in the side wall of a heating crucible of the vacuum induction furnace body, a transition channel communicated with the lower part of the inner channel and an outer channel connected with an outer port of the transition channel; the lower part of the outer channel is communicated with the outer port of the transition channel; and the pressure at the slag inlet at the upper part of the inner channel is greater than that at the slag outlet at the upper part of the outer channel. According to the utility model, the problems that in the metal smelting process of the vacuum induction furnace in the prior art, the slag is difficult to discharge, the slag and the gold are mixed out and the slag is difficult to continuously discharge under the vacuum condition due to poor fluidity of the slag and difficult separation of the slag and the gold can be solved.

A system and method for starting an electrolytic cell are disclosed. The system and method are particularly suitable for preheating an electrolytic cell or kettle having a cathode prior to installing a preheated anode in the cell for the production of metal (e.g., aluminum). The system includes one or more electric heaters installed in the cell in place of the anode assembly, and the system can be used with a dry bath or a liquid molten bath (e.g., cryolite). Preferably, the cell is preheated by as many cell preheaters as anode assemblies. Preferably, the cell preheaters are powered by the current available in the busbar of the kettle. The present invention is environmentally friendly as it is preferably suitable for preheating cells that work with inert anodes or oxygen evolving anodes. In addition, the startup method allows for optimizing / reducing the time required to start the electrolytic cell while ensuring that the material is located within the cell.

An improved direct smelting vessel includes a smelting reduction vessel (SRV) and optionally a cyclone converter (CCF). The SRV provides means for promoting metal mixing in an area beneath a slag layer adjacent a vessel wall of the direct smelting vessel. The device for promoting metal mixing may include a layered refractory hearth having two refractory base plate layers, a refractory hearth having one or more gas bubbling devices, and / or at least one pair of solids injection guns (or other devices) that provide alternating solids injection at any given time. The device for promoting metal mixing reduces the stagnation zone capable of supporting a semi-solid slag layer that limits metal-slag heat transfer. The means for promoting metal mixing maintain an effective temperature difference between the metal flowing out of the forehearth and the metal at the vessel wall not greater than 40 DEG C.

The invention discloses a low-carbon glass melting furnace adopting a pre-melting pool, which relates to the technical field of glass manufacturing, solves the technical problem of reducing energy consumption, and comprises a pre-melting pool adopting electric melting or submerged combustion and a clarification pool communicated with the pre-melting pool and adopting flame combustion, a cold top structure is arranged in the upper space of the pre-melting tank, and the upper structure of the clarification tank adopts an arch structure and is hermetically connected with the upper space of the pre-melting tank through an L-shaped hanging wall; in the glass melting process, the silicate forming stage and the glass forming stage are completed in a pre-melting pool, and the molten glass clarifying stage is completed in a clarifying pool. A pre-melting pool is communicated with a clarification pool, electric melting or submerged combustion heating is adopted in the pre-melting pool, combustion space flame heating is adopted in the clarification pool, and a novel function partition structure is developed and designed in a targeted manner according to the fact that all stages of the glass melting process have different required effects on all areas of an energy supply area of the glass melting furnace. And the carbon emission and the energy consumption are obviously reduced.

The invention provides a side blowing type plasma reinforced multi-metal composite melt reduction recovery method and a reduction furnace, the reduction furnace comprises a molten pool and a plasma mechanism, a melt converging opening is formed in the upper portion of the molten pool applied to multi-metal composite melt reduction recovery, and a flue, a slag discharging opening and a siphon opening are formed in the side, away from the melt converging opening, of the molten pool; the flue, the slag discharge port and the siphon port are sequentially arranged from top to bottom; the plasma mechanism comprises a plasma torch, the plasma torch is provided with a blowing port, the blowing port extends into the molten pool from the side direction and is located in a reduction reaction area of the molten pool so as to provide lateral airflow for the reduction reaction area in the reduction reaction process, and the included angle alpha between the blowing direction of the blowing port and the horizontal plane is larger than or equal to-30 degrees and smaller than or equal to 30 degrees. The problems that the contact of the reducing agent is limited and the reaction kinetics is blocked due to adhesion of the high-zinc melt are solved from the source, and the reduction effect is optimized.

The invention discloses a CFD-based Isa furnace molten pool temperature monitoring and matte grade calculation method, and belongs to the field of Isa furnace smelting numerical simulation. The method comprises the following two parts: firstly, establishing a three-dimensional model of the Isa furnace, and monitoring temperature distribution of a molten pool by utilizing CFD simulation software to obtain molten pool temperature section diagrams at different time points, so that a basis is provided for analyzing temperature change of the molten pool in a smelting process; secondly, the invention provides a CFD simulation analysis-based matte grade calculation method, copper concentrate raw material data collected in a smelting process is combined to calculate matte grades under different smelting conditions, and the matte grades are compared with actual production data to verify the rationality of a simulation model. The method can accurately reflect the change rule of the molten pool temperature and the calculation of the matte grade in the smelting process, provides a theoretical basis for optimizing the smelting process of the Isa furnace, and has important industrial application value.

The invention relates to the technical field of heavy non-ferrous metal pyrometallurgy and process equipment, and discloses a large heavy non-ferrous metal bath smelting furnace heat flow accurate matching method and system, and the method comprises the steps: generating key state parameters, and completing the evaluation of the real-time heat state in the furnace; cooling water flow, heat source distribution and the like are used as control variables, comprehensive optimization of heat flow uniformity, structural safety and operation energy efficiency is used as a target for solving, and an optimal control instruction set is output; the optimal control instruction set is decomposed and issued to different execution layers, so that the heat dissipation intensity of each partition is adjusted; heat production-heat dissipation balance in the furnace is reconstructed, and matching of peak clipping and valley filling of heat flow distribution is achieved; after the new control action is executed, sensor data are collected. The system comprises a pump station, a variable frequency pump, a heat exchanger, a smelting furnace, a heat flow control unit, a temperature sensor, a flowmeter, a regulating valve and a control center. The smelting strength and the heat efficiency are improved on the premise of guaranteeing the service life of the furnace lining and the structural safety.