732 results about "Sulfur content" patented technology

The invention provides a treatment method for low-grade multi-metal gold concentrate, and relates to the technical field of comprehensive utilization of minerals. According to the treatment method of the low-grade multi-metal gold concentrate, most of iron and copper form iron-copper matte through pyrogenic smelting, meanwhile, gold is captured into the iron-copper matte, then iron-copper matte powder is obtained after water quenching and ball milling, the iron-copper matte powder is subjected to oxidation ammonia leaching, copper in the iron-copper matte is extracted, and the iron-copper matte powder is subjected to oxidation ammonia leaching to obtain the low-grade multi-metal gold concentrate. The obtained copper-containing ammonia leaching liquid is subjected to a traditional extraction-reverse extraction-electrodeposition process to obtain an electrodeposited copper product, ammonia leaching residues obtained after copper extraction are subjected to cyanidation leaching, gold in the ammonia leaching residues is extracted, cyanidation liquid is subjected to a traditional gold extraction process to obtain a gold product, the cyanidation tailings mainly comprise iron sulfide, the content of iron and sulfur in the tailings is high, and the content of sulfur in the tailings is high. And the subsequent cinder can be directly sold as an iron-making raw material. The amount of iron-silicon slag generated by the method is extremely low, and compared with a traditional molten pool smelting method, the comprehensive utilization rate of iron in the multi-metal gold concentrate is greatly increased.

The application provides a method for grading diesel deep hydrodesulfurization catalysts, which comprises the following steps: loading catalysts containing AlPO4-5 phosphorus aluminum molecular sieves and catalysts containing ETS-10 titanium silicon molecular sieves in the upper and lower parts of a fixed bed hydrogenation reactor respectively according to a loading mass ratio of 1:3-3:1, so that diesel is subjected to hydrodesulfurization reaction through catalysts containing AlPO4-5 phosphorus aluminum molecular sieves first and then through catalysts containing ETS-10 titanium silicon molecular sieves; the carrier of the catalysts containing AlPO4-5 phosphorus aluminum molecular sieves comprises AlPO4-5 phosphorus aluminum molecular sieves and aluminum oxide powder, the carrier of the catalysts containing ETS-10 titanium silicon molecular sieves comprises ETS-10 titanium silicon molecular sieves and aluminum oxide powder, and the active components of the two kinds of catalysts respectively comprise a combination of two or three of nickel oxide, molybdenum oxide and cobalt oxide. The sulfur content of the hydrogenated diesel obtained through the method can be as low as 10 μg / g or below.

The invention provides a coal gelatinous layer index prediction method and system based on machine learning, and relates to the technical field of coal detection, and the method comprises the steps: S1, collecting a coal sample, and carrying out the parameter measurement of the coal sample to obtain a plurality of coal sample features; s2, selecting strong correlation coal sample features related to the coal gelatinous layer index from the coal sample features through feature screening; and S3, inputting each strong correlation coal sample feature into a pre-trained machine learning model to obtain a predicted value of the coal gelatinous layer index. The method has the beneficial effects that the machine learning model is adopted, coal sample characteristics such as moisture, ash content, volatile components, sulfur content and caking index of the coal sample are collected and input into the machine learning model obtained through pre-construction and training to predict the gelatinous layer index, the determination process of a traditional physical heating method is not needed, the problems of low efficiency, high pollution and large error of a traditional technology are solved, and the method is suitable for popularization and application. And rapid, lossless and high-precision index prediction is realized.

Even when used for polishing a semiconductor wafer provided with a silicon nitride film, there is provided sulfonic acid-modified colloidal silica capable of forming a highly flat polished surface at high speed. Sulfonic acid-modified colloidal silica, wherein the sulfur content of the silica particles is 700 mass ppm or more and less than 3000 mass ppm per 1 g of the silica particles, the sulfur content in the solvent is 250 mass ppm or less per 1 g of the solvent, and the content of coarse particles having a particle size of 0.2 μm or more contained in the silica particles is 10,000,000 particles / mL or less when the silica particle concentration is 1 mass%.

The present application relates to the technical field of battery materials, and provides iron phosphate having low sulfur content and a high iron-phosphorus ratio, a preparation method therefor, and a use thereof. The preparation method for the iron phosphate having low sulfur content and a high iron-phosphorus ratio comprises: providing amorphous iron phosphate; adding water and phosphoric acid into the amorphous iron phosphate for slurrying treatment, and then heating and aging to obtain an aged slurry; carrying out slurry washing and filter pressing on the aged slurry to obtain a first filter cake; adding water and a first pH regulator into the first filter cake for slurry washing to obtain a first slurry having a pH value range of 3.0-5.0, and carrying out filter pressing on the first slurry to obtain a second filter cake; and rinsing, drying and calcining the second filter cake to obtain iron phosphate having low sulfur content and a high iron-phosphorus ratio. The present application facilitates preparation of iron phosphate having low sulfur content, a high iron-phosphorus ratio, and a large specific surface area. The iron phosphate can be used for preparing lithium iron phosphate having good electrochemical performance, and the lithium iron phosphate can be further used for preparing a positive electrode sheet and a secondary battery having good electrochemical performance.

A method and system for determining coal blending schemes for different coal types in a thermal power plant. The method comprises: acquiring coal type data of a coal yard and historical operation data of a coal treatment apparatus and a coal environmental protection system; on the basis of the coal type data of the coal yard and the historical operation data of the coal treatment apparatus and the coal environmental protection system, establishing constraint conditions for minimum calorific value, ignition stability, sulfur content, moisture content and ash content of blended coal fed into a boiler; on the basis of the constraint conditions, determining the blending and firing ratio for different coal types, so as to obtain a plurality of coal blending schemes; and by using the lowest comprehensive power supply cost as an objective, establishing an objective function, solving objective function values for the plurality of coal blending schemes, and, on the basis of the objective function values, obtaining a final coal blending scheme of the thermal power plant. The present invention determines various constraint conditions for blended coal on the basis of the current operation status of unit apparatuses, such that the coal blending and firing scheme better conforms to the actual operation conditions of a unit. In addition, since the coal blending scheme is obtained by performing big data analysis on various data, the method is simple and feasible, involves relatively low cost, and can increase the blending proportions of economical coal types, thereby lowering power generation cost, improving resource utilization efficiency, and realizing sustainable development of energy.

The invention discloses an intelligent coal blending method and system for dual-engine staged solution in a power coal scene. The method comprises the following steps: performing structured processing on coal source data and establishing a hundred-ton integer batch variable; the method comprises the following steps of: constructing a hard constraint integer programming (ILP) model, and sequentially executing three stages of solving of cost minimization, heat value deviation minimization under the fixed cost and coal source quantity minimization under the fixed cost and deviation; when any stage is not feasible, automatically switching to a soft constraint target planning (GP) model, performing soft constraint on the coal quality index through a deviation variable, and sequentially performing deviation minimization, cost minimization and coal source quantity minimization; and calculating a combustion stability index (CSI) on the basis of volatile component fluctuation, fixed carbon, ash content change and sulfur content change, and carrying out stability verification on a final coal blending scheme. The system comprises a data management module, a first engine module, a second engine module, an automatic rollback module, a combustion stability index module and a result output module.

The invention discloses a multispectral combined coal multi-index on-line rapid detection system and a multispectral combined coal multi-index on-line rapid detection method. The multispectral combined coal multi-index on-line rapid detection system comprises a coal sample conveying device, a spectrum fusion analysis device and a control device. The coal sample conveying device is used for conveying coal samples; the spectrum fusion analysis device is used for detecting and analyzing the coal sample and comprises an X-ray spectrum detection unit, a near-infrared detection unit and a laser-induced breakdown spectroscopy unit, the X-ray spectrum detection unit is used for obtaining an X-ray fluorescence spectrum of the coal sample, and the near-infrared detection unit is used for obtaining a near-infrared spectrum of the coal sample; the laser-induced breakdown spectroscopy unit is used for acquiring a plasma spectrum of the coal sample; and the spectrum fusion analysis device is electrically connected with the control device. According to the rapid detection system provided by the embodiment of the invention, online real-time prediction of the caking index, the calorific value, the ash content, the total moisture content, the total sulfur content, the volatile component and the ash fusion point of the coal is realized, and real-time data support is provided for coking coal blending process optimization and metallurgical coke quality control.

The present invention relates to a crop nutrition and fortifying composition comprising an effective amount of the following ingredients: elemental sulfur; one or more magnesium salt derivatives or mixtures thereof; one or more potash fertilizers or salts or derivatives or mixtures thereof; one or more iron salts or derivatives or mixtures thereof; one or more zinc salts or derivatives or mixtures thereof; and one or more excipients. The composition comprises particles having a particle size ranging from 0.1 to 50 [mu] m wherein the elemental sulfur content is from 5% to 90% by weight; the content of the element magnesium is 0.1%-40% (weight percentage); the content of the element potassium is 0.1%-40% (weight percentage); the content of the element iron is 0.1%-45% (weight percentage); and the content of the element zinc is 0.1-45% of the total weight of the composition. The invention also relates to a method for preparing the crop nutrition and fortifying composition, and a method for treating a plant, a seed, a crop, plant propagation material, a locus, parts thereof or soil using the crop nutrition and fortifying composition.

The invention belongs to the technical field of ferrous metallurgy, particularly relates to a method for determining the LF refining slag amount of ultralow-sulfur pipeline steel, provides a molten iron-free pretreatment-single slag method ultralow-sulfur pipeline steel production process, and establishes an optimal refining slag system of the ultralow-sulfur pipeline steel. According to the method, the sulfur capacity of a refining slag system is calculated through a KTH model, the sulfur distribution ratio of the refining slag is further obtained by combining current molten steel components, the theoretical adding amount of the refining slag is accurately obtained according to the requirements of the sulfur distribution ratio, the molten steel amount, the LF refining station entering sulfur content and the LF refining station exiting sulfur content, and a refining slag amount rapid calculation model based on LF station entering sulfur content classification is provided. And when the sulfur content of the entering molten steel is less than or equal to 0.030 wt%, the optimal desulfurization efficiency of the LF is ensured based on the LF slag system optimization and accurate slag quantity control technology, stable production of the ultra-low sulfur steel can be realized under the condition of no molten iron pretreatment, and the sulfur content of a finished product is controlled within 10ppm.

Disclosed herein is a gold powder comprises gold particles, and sulfur present on a surface of at least a part of the gold particles. A sulfur amount of the sulfur present on the surface per unit surface area is 220 μg / m2 or more and 1500 μg / m2 or less. The sulfur amount is obtained by dividing a surface sulfur amount per unit mass by specific surface area of the gold particles. The surface sulfur amount is obtained by a quantitatively analysis of a treated liquid obtained by nitric acid extraction of the gold particles.

The invention relates to the technical field of thermal power plant operation optimization, and discloses a thermal power plant coal blending combustion proportion optimization decision method based on a feasible region model, comprising the following steps: step 1, constructing a basic model of a coal blending combustion proportion feasible region; step 2, determining a first type of feasible region boundary function based on a coal blending combustion constraint condition, and determining a second type of feasible region boundary function based on a coal blending total proportion constraint condition; the coal blending combustion constraint condition comprises coal blending calorific value, coal blending volatile component, coal blending sulfur content, moisture, ash content and single coal proportion; 3, determining a coal blending combustion proportion feasible region under the condition of multiple coal types by adopting a vertex search-based space projection algorithm; and 4, setting a target function, and outputting an optimal blending combustion ratio based on the coal blending combustion ratio feasible region. According to the method, rapid calculation of the optimal blending combustion proportion and rapid adjustment of the blending combustion proportion facing sudden change of working conditions can be achieved, and thermal power plant operation personnel are accurately assisted in performing blending combustion proportion optimization decision making in real time.

The invention discloses an adjusting method and device for reducing high-temperature corrosion of a water cooling wall of an opposed firing boiler, and the method comprises the steps: testing the sulfur content of coal as fired, and controlling the sulfur content of the coal as fired; the opening degree or the rotating speed and the ventilation quantity of a baffle of a separator of the coal mill are adjusted, and the primary air speed, the pulverized coal fineness and the uniformity index value of each layer of combustor are adjusted to be within the required range; the boiler operation oxygen amount, the opening degree of a secondary air box and the opening degree of an over-fire air door are adjusted, and the excess air coefficient of a main combustor area is controlled; the opening degree of internal and external secondary air and the rotational flow strength of a main combustor of the boiler are adjusted, a secondary air door in the combustor is fully opened, the rotational flow angle of the internal secondary air is adjusted to be minimum, the rotational flow angle of the external secondary air of the combustor close to two side walls is adjusted to be smaller, and meanwhile the external secondary air volume is increased. After adjustment, pulverized coal airflow deflection wall-attaching combustion is relieved, air supply in the initial stage of combustion is increased, H2S generation is reduced, and meanwhile the air supply amount of a flowing dead zone of the opposed firing boiler and the isolation capacity of a wall-attaching air film on pulverized coal airflow deflection wall-attaching are also increased.

The invention discloses a coal lithofacies detection device and method, and relates to the technical field of maceral detection, the coal lithofacies detection method comprises the steps of coal rock X-ray plate preparation and microscopic observation, in the coal rock X-ray plate preparation step, crushing, screening, mixing, shaping and surface treatment are performed on a coal sample to form a coal rock X-ray plate; in the microscopic observation step, microscopic components and mineral substances in the coal rock polished section are observed and analyzed to judge the lithofacies type of the coal. According to the coal lithofacies detection device and method provided by the invention, the metamorphism degree, the combustion characteristic, the chemical reactivity, the processability and the like of coal are evaluated by analyzing the maceral components, the mineral components and the contents of the maceral components and the mineral components of the coal; in the coking process, coal blending is carried out based on the lithofacies of the coal, so that the proportions of different coal types can be more accurately blended, the optimal coal blending scheme is selected, combustion is more economical and effective, the calorific value of the coal and the yield of coke are increased, and the ash content and the sulfur content of the coke are reduced.

The invention belongs to the technical field of petrochemical engineering, and relates to a continuous coking production system and process method for hydrogenated unconverted oil, and the production system comprises a membrane filter, a raw material tank, a homogenizer, a tubular furnace, a coking machine, an oil cooler and a stock bin. According to the invention, the continuous production of the high-quality petroleum coke is realized by combining a synergistic process method of membrane filtration, modification, homogeneous emulsification and tubular furnace coking machine coupling with a graphite adding and hydraulic conveying technology without a noble metal catalyst. The sulfur content, the ash content and the volatile components of the petroleum coke prepared by the technological method all meet the industrial standards, the requirement of pre-culture low-emission anode coke of electrolytic aluminum can be met, and the cost is low.

The invention belongs to the technical field of ferrous metallurgy, and particularly relates to a production method of low-silicon sulfur-added high-aluminum gear steel which comprises the following chemical components in percentage by weight: 0.15%-0.20% of C, 0.06%-0.12% of Si, 1.35%-1.55% of Mn, 0.035%-0.055% of S, 1.10%-1.20% of Cr, 0.035%-0.055% of Al, 0.012%-0.016% of N, less than or equal to 0.0010% of O and the balance of Fe and inevitable residual elements. The overall process route of the production method comprises the steps of converter primary smelting, tapping pre-calcification and sulfurization, LF refining slagging, RH vacuum treatment and continuous casting protection pouring. By optimizing the composition of the refining slag, controlling the sulfur content in stages and co-processing calcium and aluminum, the continuous casting castability problem of the low-silicon sulfur-added high-aluminum gear steel is effectively solved, and the liquid level fluctuation percent of pass of a crystallizer is greater than 99%.

The invention discloses a low-temperature-bending-resistant sulfur-free fireproof coating for packaging aerogel felt and a preparation method thereof. The coating comprises the following components in parts by weight: 35-50 parts of sulfur-free resin, 20-45 parts of pigment paste, 0-20 parts of a flame retardant, 0.1-2 parts of a defoaming agent, 0.1-2 parts of a substrate wetting agent, 0.5-2 parts of a thickening agent, 0-10 parts of an anti-freezing agent and 0-10 parts of a plasticizer. According to the invention, the sulfur content of the resin, the pigment and the additive adopted by the coating is measured, and the resin with the sulfur content not detected in the test result is selected to design the formula of the sulfur-free coating, so that the sulfur-free coating which passes a dryness test and a low-temperature flexibility test is obtained and can be applied to aerogel felt packaging. Furthermore, by adding a specific flame retardant, the fireproof performance (grade to 1-5) and good heat insulation performance can be achieved at the same time.

According to the fire coal blending combustion control system and method provided by the invention, the fire coal blending combustion control system realizes intelligent and accurate control of the fire coal blending combustion process by constructing a cooperative control system of data acquisition, modeling analysis, decision control and man-machine interaction. The technical limitation of traditional manual coal blending is broken through, real-time accurate modeling of the coal yard form is achieved through the three-dimensional laser scanning and multi-source data fusion technology, and the coal diffusion prediction precision is remarkably improved by combining dynamic repose angle parameter correction; genetic algorithm optimization and a closed-loop compensation mechanism are adopted for synergistic effect, coal blending calorific value fluctuation is effectively controlled, and the risk that sulfur content exceeds the standard is greatly reduced; an intelligent operation and maintenance interface is constructed through a three-dimensional visualization and data tracing technology, and the abnormal working condition handling efficiency is remarkably improved. And obvious economic benefits and environmental benefits are realized while the stability of the calorific value of the fire coal is ensured.

The invention discloses a method for measuring the sulfur content of low-sulfur alloy steel and application, relates to the technical field of alloy steel detection, and solves the problems that an existing method for detecting the sulfur content of the alloy steel is complex in operation and poor in precision, and the detection accuracy of steel with the low sulfur content is poor. The determination method comprises the following steps: providing a carbon-sulfur instrument, a low-sulfur-concentration sample, a medium-sulfur-concentration sample and a high-sulfur-concentration sample, respectively putting the three samples into the carbon-sulfur instrument, and carrying out first treatment to obtain an average value I1, an average value I2 and an average value I3; calculating an interference coefficient RE through the average value I1, the average value I2 and the average value I3, and inputting the interference coefficient RE into the carbon-sulfur instrument to obtain a calibration curve; a sample needing to be detected is taken and subjected to second treatment to obtain a mixture, the mixture is put into a carbon and sulfur instrument, a calibration curve is selected, and measurement is started till the end. The measuring method is simple to operate and high in precision. The method has the advantages that discreteness is obviously reduced, detected results are good in repeatability and stability, and the RSD value is low.

The invention relates to the technical field of petroleum refining process and industrial automatic control, in particular to a closed-loop intelligent control refined diesel hydrogenation filtration parameter optimization method which comprises the following steps: step 1, acquiring refined diesel sulfur content and raw oil flow data in real time, and generating an effective sulfur concentration sequence through dynamic weighted filtering; 2, calculating a local blockage coefficient of the catalyst; 3, outputting a real-time activity factor of the catalyst through an activity attenuation relational expression; 4, dynamically calculating and predicting the adsorption capacity; 5, generating an instruction for shortening the backwashing period and reducing the filtering rate; 6, generating a backwashing intensity adjusting instruction in proportion according to the absolute value of the sulfur concentration change slope; 7, adjusting the filtering rate, the backwashing period and the washing intensity; and 8, if the target value is not reached, returning to the step 2, and re-evaluating the activity of the catalyst. According to the method, the accuracy and the stability of the data are effectively improved, and reliable real-time data support is provided for subsequent filtering parameter optimization.

The invention provides a method for preparing high-purity vanadium pentoxide from a sodium vanadium solution. The method comprises the following steps: firstly, through chromium removal, calcium removal and silicon removal treatment, reducing the contents of chromium, calcium and silicon in the sodium vanadium solution to a target requirement, namely Crlt; the concentration is 0.005 g / L, and the concentration is Cat; 0.01 g / L, Silt; 0.01 g / L; then, aluminum is removed through a two-step method, the pH of the system can be accurately controlled, and the aluminum content in the solution is reduced to be smaller than 0.001 g / L; finally, ammonium salt is added to obtain AMV sediment, after the potassium content in the AMV sediment is preferably controlled to be reduced to 0.001 wt%, calcination is conducted, a vanadium pentoxide product can be obtained, and the sulfur content can be lower than 0.001 wt%.

The invention relates to a pipeline integrity analysis technology, and discloses a method for determining the integrity of an extra-high sulfur-containing production device, which comprises the following steps of: acquiring acquired data of the extra-high sulfur-containing production device, and extracting safety risk factors from the acquired data; according to the safety risk factors, the integrity of the ultrahigh-sulfur-content production device is predicted through a pre-constructed integrity prediction model, an integrity prediction result is obtained, the pre-constructed integrity prediction model comprises a flow erosion model, a corrosion prediction model, a rigidity and strength prediction model and a sealing life prediction model, and the flow erosion model, the corrosion prediction model, the rigidity and strength prediction model and the sealing life prediction model are used for prediction of the integrity of the ultrahigh-sulfur-content production device. The integrity prediction result is obtained by fusing an output result of the flow erosion model, an output result of the corrosion prediction model, an output result of the rigidity and strength prediction model and an output result of the sealing life prediction model. The invention further provides a digital intelligent cloud platform, equipment and a storage medium. The method can improve the prediction accuracy and efficiency of the integrity of the extra-high sulfur-containing production device.

The invention provides a low-sulfur manganese-silicon alloy and a production method thereof.The method comprises the steps that silica, coke and manganese ore are crushed and then mixed with lime, and smelting raw materials are obtained; a closed electric furnace is filled with smelting raw materials for smelting, and alloy melt is obtained; the alloy melt is transferred into a ladle, a desulfurizing agent is added for the desulfurization process, and manganese-silicon alloy molten iron is obtained; and the manganese-silicon alloy molten iron is poured into a mold for ingot casting, and a manganese-silicon alloy finished product is obtained after cooling. According to the method, the method capable of effectively reducing the sulfur content in the manganese-silicon alloy is provided through the steps of raw material crushing and mixing, in-furnace power transmission refining, out-of-furnace desulfurization, casting molding and the like, the low-sulfur manganese-silicon alloy is produced, and therefore control over the sulfur element content in a steelmaking product is facilitated.

The invention relates to a preparation method of ultralow-carbon ultralow-sulfur low-nitrogen steel, and belongs to the technical field of ferrous metallurgy. The method comprises the following steps: smelting a raw material containing waste steel in an electric furnace to obtain first molten steel; the first molten steel is subjected to sectional type LF refining, and second molten steel with the preset sulfur content is obtained; wherein the sectional type LF refining comprises LF refining of a light desulfurization section, a slagging-off section and a deep desulfurization section for spraying calcium oxide powder which are arranged in sequence, and the temperature of the first molten steel in the light desulfurization section is controlled; and the second molten steel is subjected to RH vacuum smelting, decarburization and denitrification are conducted, oxygen blowing operation is conducted in the RH vacuum smelting process, and the ultralow-carbon ultralow-sulfur low-nitrogen molten steel is obtained. The ultralow-carbon ultralow-sulfur low-nitrogen molten steel is prepared from the following components in percentage by mass: less than 20 ppm of oxygen, less than 0.0030% of nitrogen, less than 0.0030% of sulfur and less than 0.0020% of carbon.

The invention belongs to the technical field of oil and gas storage and transportation, and discloses a novel device and method for online measurement of gas sulfur content in a sulfur-containing gas field pipeline, and the device comprises a natural gas compressor, a gas tank (variable volume type or fixed volume type), a temperature control refrigeration system, a computer, a pressure sensor, a temperature sensor and a plurality of automatic valves. A natural gas sample in a pipeline is introduced into a gas box, the temperature and / or the volume of the natural gas sample are accurately adjusted under the control of a computer, pressure, temperature and volume data in two different states are obtained, the compression factor ratio of gas is calculated accordingly, and the hydrogen sulfide concentration is indirectly determined based on the preset mapping relation between the compression factor ratio and the hydrogen sulfide concentration. The method does not need an optical or electrochemical sensitive element, avoids the interference of field dust and moisture, has the advantages of simple structure, high reliability and low maintenance cost, and is suitable for long-term stable online monitoring of the sulfur-containing natural gas pipeline.

To provide a fuel oil composition which contains a fatty acid alkyl ester and thereby has excellent combustion performance, excellent environmental performance due to ultra-low sulfur, and also excellent storage stability performance.SOLUTION: Provided is a fuel oil composition comprising a fatty acid alkyl ester having specific properties and a cracked light gas oil fraction, each in a content of 15.0 vol% or more and 35.0 vol% or less and 2.5 vol% or more and less than 20.0 vol%, respectively, based on the total amount of the composition, and satisfying all of the following: (1) a density at 15°C of 0.8600 g / cm3 or more and 0.8800 g / cm3 or less; (2) a kinematic viscosity at 50°C of 2.000 mm2 / s or more and 4.500 mm2 / s or less; (3) a sulfur content of 0.100 mass% or less; (4) an aromatic content of three or more rings of 2.1 vol% or more; and (5) a residual carbon content of 10% residual oil of 0.21 mass% or more and 0. mass% or less. Also provided is a method for producing the same.SELECTED DRAWING: None

The invention belongs to the technical field of petroleum coke blending, and particularly relates to an intelligent petroleum coke blending optimization method based on the Internet of Things, which comprises the following steps: step 1, a comprehensive sensing network of a petroleum coke blending system is constructed through the Internet of Things technology, and the network comprises but is not limited to sensor nodes, a data acquisition module and a communication module, the acquisition module is used for accurately acquiring flow, temperature, humidity, particle size distribution, ash content and sulfur content of petroleum coke raw materials and a mixing ratio in a blending process in real time; according to the invention, a comprehensive sensing network is constructed through the Internet of Things technology, petroleum coke raw materials and key parameters in the blending process are accurately collected in real time, data processing and optimization are carried out in combination with an intelligent algorithm module, an optimal blending scheme can be automatically generated, and accurate execution is carried out through automatic control equipment and an execution mechanism. The process greatly reduces manual intervention, improves the blending efficiency and accuracy, and ensures the stability and consistency of the blending result.

To provide cuprous oxide powder with a relatively high packed bulk density and a production method for the cuprous oxide powder.SOLUTION: The cuprous oxide powder contains sulfur (S) with a content of less than 140 mass ppm and chlorine (Cl) with a content of less than 1000 mass ppm.SELECTED DRAWING: None

The invention discloses a processing method for improving surface cracks of high-strength 316L stainless steel, which comprises the following steps: S1, product smelting: selecting a low-sulfur raw material in an electric furnace charging stage, carrying out electric furnace crude smelting, pre-desulfurization treatment, AOD (Argon Oxygen Decarburization) refining and calcium line improvement, and then feeding the low-sulfur raw material to a continuous casting platform for casting to obtain a plate blank; s2, plate blank surface coping is conducted, specifically, two passes of coping are conducted on the two surfaces of the plate blank correspondingly; s3, hot rolling and calendaring: rough calendaring and fine calendaring. According to the method, firstly, by increasing the chromium content, the reasonable ferrite content of the plate blank is kept, and austenite grains are prevented from growing excessively in the heating and smelting process of an electric furnace; 2, by reducing the content of harmful elements such as oxygen and sulfur, intergranular separated sulfide is reduced, and intergranular binding force is improved; thirdly, the surface of the plate blank is ground, and the poor-quality part of the surface layer of the plate blank is eliminated; 4, refining surface crystal grains of the plate blank by adopting a hot rolling and light pressing process; through the means, crack defects are avoided, and the surface quality of a final product is improved.

A high-quality free-cutting die steel cast billet and a manufacturing method therefor, belonging to the field of steelmaking methods. The mass percentage of element S in the steel cast billet is 0.05%-0.15%. The manufacturing method comprises: blast furnace smelting, converter smelting, LF furnace refining, RH furnace refining, slab continuous casting, and insulation pit slow cooling processes. The present invention obtains high-sulfur-content and high-purity molten steel during the converter and refining processes, controls brittle inclusions in the molten steel, reduces the total content and the size of oxide inclusions, and uses optimization design of continuous casting process parameters, so as to achieve composition and structure homogenization as well as the surface and internal quality enhancement of cast billets, thereby producing high-cleanliness and high-quality free-cutting alloy die steel cast billets.