80results about "Testing metal constituents" patented technology

The embodiment of the invention provides an iron ore price evaluation method based on component prices, which relates to the technical field of ferrous metallurgy, and comprises the following steps: optionally selecting one iron ore as reference iron ore, and measuring the content value of each chemical component in the reference iron ore and to-be-evaluated iron ore, calculating the content difference value of the iron ore to be evaluated on the same chemical component relative to the reference iron ore; obtaining the price of each chemical component of the to-be-evaluated iron ore, adjusting the symbol of the price of the chemical component according to the contribution of the processing cost of the to-be-evaluated iron ore, and multiplying the content difference value of each chemical component by the price of the corresponding chemical component to obtain the cost difference of the corresponding chemical component based on the reference iron ore; and adding the cost differences of all the chemical components based on the reference iron ore to obtain the converted cost of all the chemical components, and adding the current purchase price of the to-be-evaluated iron ore to the converted cost to obtain the actual use cost of the to-be-evaluated iron ore based on the reference iron ore.

The invention relates to a production line configured to convey the metal product along a conveying path, which production line comprises, along the conveying path, an induction heat treatment furnace configured to heat the metal product by induction while the metal product is being conveyed, and a laser stripping unit configured to strip, using at least one laser, at least one surface of the metal product while the metal product is being conveyed.

Provided is an evaluation method for obtaining steel with stable quality. The steel evaluation method includes: a process of measuring a surface of steel with an electron probe micro analyzer to obtain mapping data of a base composition; a process of obtaining mapping data of an Ms temperature from the mapping data of the base composition; a process of binarizing the mapping data of the Ms temperature; a process of obtaining a first main component and a second main component by main component analysis of the mapping data of the Ms temperature which has been subjected to the binarization processing; and a process of evaluating dimensional change characteristics of the steel on the basis of a relationship between the first main component and the second main component.

The present invention belongs to the technical field of automated steel production and discloses a method for predicting the composition of molten iron applied to an automated steel production process, wherein the method is: performing a sampling and an examination of molten iron in a process in which the molten iron is tapped from a torpedo tank into a ladle, and calculating a loss of composition of this molten iron, wherein the composition of the molten iron is calibrated before the molten iron is tapped into the ladle;Performing a sampling and analysis of the molten iron in a process where the molten iron is transferred from the ladle to a converter, and calculating any loss in the composition of this molten iron, wherein the composition of the molten iron is calibrated before the molten iron is transferred to the converter. The present invention is easy to use and implement, and can acquire more accurate and reliable real-time parameters for computational models at all levels; in its specific application, the present invention does not require the modernization of existing automated steelmaking equipment; and it can be applied to a wide range of automated steelmaking scenarios.

The invention belongs to the technical field of titanium alloy heat treatment, and relates to a method for determining the phase transformation point temperature of a titanium-copper alloy and application. The method comprises the following steps: preparing a Ti-5Cu alloy plate ingot sample by taking sponge titanium and copper as raw materials, and carrying out component analysis on the Ti-5Cu alloy plate ingot sample to evaluate the quality of the Ti-5Cu alloy plate ingot sample; if the quality of the Ti-5Cu alloy plate ingot sample is not qualified, preparing again until the quality of the Ti-5Cu alloy plate ingot sample is qualified; and determining the phase transformation point of the Ti-5Cu alloy plate ingot sample with qualified quality by adopting a specific method.

The invention discloses a secondary aluminum melt impurity detection device based on electromagnetic separation, and relates to the technical field of metal material regeneration. The secondary aluminum melt impurity detection device based on electromagnetic separation comprises a connecting pipeline, and one end of the connecting pipeline is fixedly connected with a detection device. According to the secondary aluminum melt impurity detection device based on electromagnetic separation, a first scraping plate and a second scraping plate are arranged, a first motor is started, a rotating shaft is driven to rotate through meshing transmission of a gear, and therefore the first scraping plate and the second scraping plate are driven to rotate, and it is avoided that secondary aluminum melt adheres to the interior of the mixing box to affect stirring uniformity while stirring is conducted; the arc-shaped through holes are formed in the first scraping plate and the second scraping plate, the direction and the speed of fluid are changed when the fluid passes through the arc-shaped through holes, the laminar flow state can be effectively broken, turbulent flow formation is promoted, stirring is more uniform, the stirring efficiency is improved, and the deviation rate of subsequent detection data is reduced.

The invention discloses a molten aluminum treatment process and molten aluminum treatment equipment. The molten aluminum treatment process comprises the following steps: S1, carrying out refining treatment on original molten aluminum; s2, the refined molten aluminum is subjected to quality detection; s3, if the detection result is qualified, the qualified molten aluminum is conveyed to a heat preservation procedure for heat preservation; and S4, the qualified molten aluminum obtained after heat preservation is used for casting, foundry returns generated through casting are subjected to melting and heat preservation treatment again, and then the foundry returns are converged into the original molten aluminum to be refined again. Therefore, according to the molten aluminum treatment process, energy consumption can be reduced, and recycling of foundry returns can be achieved.

The invention discloses a method for accurately measuring the phase content in stainless steel. The method is suitable for stainless steel containing at least one phase of ferrite, austenite, cementite and martensite. The method comprises the following steps: S1, cutting, grinding and polishing a stainless steel sample to obtain a bright surface; s2, pre-judging the type and the number of contained phases through metallographic structure observation in combination with component analysis and a heat treatment process; and S3, directional detection is conducted according to the pre-judgment result, ferrite is measured through metallographic software after being subjected to electrolytic corrosion through a KOH electrolyte, austenite is measured through an X-ray diffraction technology, cementite is measured through a laser confocal microscope after being subjected to acid etching, and martensite is obtained by subtracting the sum of the measured phase content by 100%. The method integrates various technical advantages, is simple and convenient to operate, wide in detection range and high in precision, and can provide accurate data support for stainless steel process optimization and material development.

This invention relates to the field of quality inspection technology for recycled resources, specifically disclosing a quality inspection algorithm for recycled resources. The algorithm includes the following steps: retrieving historical data stored in a metal detector through a data recording unit; combining the historical data retrieved by the data recording unit with the operational status data during the standby process of the metal detector; analyzing whether there are any abnormalities in the current operational status of the metal detector; and reflecting whether there are any abnormalities in the current state of the metal detector, i.e., whether there will be a problem of reduced detection accuracy when performing quality inspection work under the current state of the metal detector. When it is determined that quality inspection work for recycled resources can be carried out, the composition of different scrap metals is analyzed by the metal detector, thereby ensuring the detection accuracy of the metal detector and further improving the accuracy of the quality inspection results.

The utility model discloses component detection equipment, which comprises a conveyor belt and a detection mechanism, the conveyor belt passes through the lower part of the detection mechanism, the conveyor belt is used for conveying a grid plate, a grid in the grid plate is provided with a material to be subjected to component detection, the detection mechanism comprises a positioning camera and a component detection assembly, and the positioning camera is used for positioning the component detection assembly. The positioning camera is located above the component detection assembly, the positioning camera is used for analyzing coordinates of materials in the grid plate, and the component detection assembly is used for performing component detection on the materials in the grid plate after receiving the coordinates of the materials in the grid plate. By arranging the positioning camera and the component detection assembly, when tiny materials such as a probe head of a probe are detected, manual intervention is not needed, all detection is completed automatically, the equipment is simple, the cost is saved, and the labor intensity of workers and the labor cost of enterprises can be greatly reduced.

The utility model discloses casting strength detection equipment based on food processing, which comprises a detection device, the inner wall of the detection device is connected with a lifting frame in a sliding manner, the lifting frame is internally provided with a medicine dripping device and a clamping mechanism, and the clamping mechanism comprises a fixed plate fixedly connected to the left side of the top of the detection device. The surface of the inner wall of the fixing plate is movably connected with a lead screw through a bearing, the surface of the lead screw is in threaded connection with a clamping plate, the inner wall of the clamping plate is slidably connected with a limiting rod, and the left side and the right side of the limiting rod are fixedly connected to the right side of the fixing plate and the left side of the detection device respectively. When the device is used, under the action of the clamping mechanism, the driving mechanism, the transmission mechanism and the linkage mechanism, the strength of the stainless steel casting for food can be detected more quickly and conveniently, the inconvenience that the casting is clamped manually and the dropping height cannot be adjusted is avoided, and the device has the advantage of being convenient to use.

A method for characterization of metallic powder including presenting a metallic powder sample to a laser and detector system, wherein the metallic powder sample passes through the laser and detector system via a sample introducer; applying a pulsed laser beam to a first location in the metallic powder sample to provide a first micro-plasma at the first location in the metallic powder sample when the pulsed laser beam terminates, the micro-plasma cools to provide spectral emissions at the first location; collecting the spectral emissions at the first location in the metallic powder sample with a detector; analyzing the spectral emissions at the first location to provide a spectral analysis dataset; and identifying inclusions at the first location in the metallic powder sample.

The invention relates to the technical field of quality inspection of renewable resources, and particularly discloses a quality inspection algorithm for renewable resources, and the algorithm comprises the following steps: calling historical storage data of metal detection equipment through a data recording unit, whether the current operation state of the metal detection equipment is abnormal or not can be analyzed by combining the historical storage data, called by the data recording unit, of the metal detection equipment and the operation state data of the metal detection equipment in the standby process, and the analysis result can reflect whether the current state of the metal detection equipment is abnormal or not. According to the method, whether the detection precision is reduced or not when quality inspection operation is carried out on the metal detection equipment in the current state is judged, and when it is judged that renewable resource quality inspection operation can be carried out, components of different waste metals are analyzed through the metal detection equipment, so that the detection precision of the metal detection equipment is guaranteed, and the detection efficiency is improved. And the accuracy of the quality inspection result is further improved.

The present invention belongs to the technical field of metallurgical automation, and provides a fully automatic demoulding and sampling system for molten steel in a blast furnace, comprising a flow pivot modeling, an oxygen field cloud map, an offset decision and a sample optimization module; the flow pivot modeling module acquires data such as molten steel flow rate and temperature, and combines CFD to construct a flow pivot mapping model to obtain an initial optimal sampling point; the oxygen field cloud map module introduces an oxygen mass transfer equation, and outputs a cloud map of oxygen content distribution in the furnace and the oxygen content at the initial optimal sampling point; the offset decision module determines whether to offset based on the oxygen content, obtains an oxygen-containing offsettable area and optimizes the target offsettable area; the sample optimization module selects the optimal sample through multiple samplings in combination with the offset amount and oxygen content; the present invention improves sampling accuracy, reduces the risk of defects caused by excessive oxygen, and is suitable for intelligent blast furnace molten steel sampling scenarios.

The invention relates to the technical field of metal core-spun yarn component detection, and discloses a data processing method and system for mixed metal core-spun yarn component detection. According to the method, X-ray diffraction phase analysis and spectral element detection are fused, a multi-dimensional interference recognition model is constructed, and self-adaptive iterative correction is realized. Carrying out full-spectrum fitting on the phase diffraction data, and obtaining phase composition information and a standard content reference value; constructing a three-order tensor coupling model, and performing tensor coupling on the spectral interference matrix and the matrix interference parameters; correcting parameters are dynamically adjusted through a deviation feedback mechanism, small-step fine adjustment is adopted for spectrum interference, and large-step accelerated convergence is adopted for matrix interference; and performing cross validation based on a phase stoichiometric relationship. According to the invention, the precision of processing spectrum and matrix interference coupling and fixing parameters can be improved.

This invention patent application addresses a system for the detection and quantification of mineralogical species via x-ray diffraction (XRD) of the concentrate of dry copper before it is injected into a converter or melting furnace. Specifically, it addresses a device that performs a mineralogical analysis, in line and in real time, of the concentrate of copper in the bath smelting furnace via x-ray diffraction (XRD), which allows for control over the ideal mixture for the optimal process for copper sulfide (Cu2S)-white metal, iron sulfide (FeS)-Slag and pyritic sulfur (S2)-temperature.

To provide a technique for safely, as well as quickly and easily evaluating a noble metal element content such as gold, silver, platinum and palladium, assuming the risk of foreign matter inclusion from a manufacturing facility in manufacturing a powder material.SOLUTION: Provided is a foreign matter inclusion evaluation method which, while using a selenium-containing substance for a coprecipitant, sequentially feeds a sample that contains noble metal elements to a decomposition step, a white smoke processing step, a dissolving step, a first preliminary reduction step, a second preliminary reduction step, a reducing coprecipitation step, an aging step, a filtration step, a drying step, and a measurement step, thereby obtaining the contents of noble metal elements included in the sample.SELECTED DRAWING: Figure 1

The invention relates to the technical field of bearing materials, in particular to a method for high-throughput screening of an alloy for an aerospace bearing, the alloy and a preparation method. The method comprises the following steps: preparing an end alloy cast ingot sample; the two-step diffusion couple treatment comprises the following steps: preparing a block-shaped sample; carrying out polishing treatment on the blocky sample to obtain a blocky sample with a polished surface; assembling to form a diffusion couple; sealing the assembled diffusion couple, and carrying out solution treatment and aging treatment to obtain a diffusion couple sample; and performing high-throughput characterization and screening on the diffusion couple sample to obtain the alloy for the aerospace bearing. The two-step diffusion couple method is combined with the high-throughput experiment characterization technology, the microstructure and mechanical properties of the alloy in a wide component range can be systematically explored only by preparing one diffusion couple sample, target alloy is efficiently screened, and the accuracy and reliability of alloy design are remarkably improved.

A device for determining the chemical composition of a liquid metallurgical product emitting electromagnetic radiations. The device including a collection probe configured to acquire the electromagnetic radiations emitted by the metallurgical product in a predetermined wavelength range Δλ, a spectroscopic device connected to the collection probe and configured to generate a spectral signal of the acquired electromagnetic radiations and processing means including a database of reference radiances. A method using the device is also provided.

A metallic foreign material analysis system according to exemplary embodiments of the present invention comprises a foreign material analysis unit, wherein the foreign material analysis unit generates respective X-ray transmission images of a sample and a reference sample, image-processes the X-ray transmission image of the sample so as to generate mapping image data of the sample in which metallic foreign materials having a diameter of predetermined range are selectively displayed, and generates component analysis data for each of the metallic foreign materials identified in the mapping image data.

This invention relates to the field of metal smelting, and more particularly to an apparatus and process for recovering aluminum. The process for recovering aluminum includes the following steps: classifying raw materials into forged aluminum parts and cast aluminum parts based on their overall color, cross-sectional color, cross-sectional texture, and cross-sectional layering. When observing the overall color and cross-sectional color, bright white materials are likely forged aluminum parts; dark gray materials are likely cast aluminum parts. When observing the cross-sectional texture and layering, materials with no obvious particles and no layering are likely forged aluminum parts; materials with obvious particles and layering are likely cast aluminum parts. At least two conditions must be met to classify a material as cast aluminum parts; otherwise, it is classified as forged aluminum parts. During the classification of forged and cast aluminum parts, impurities in the raw materials are removed. This invention has the advantage of being able to use raw materials similar to aluminum ingots for production, thus reducing the production cost of aluminum ingots.

Disclosed herein is a metal dust analysis system according to an exemplary embodiment of the present disclosure, comprising: a dust analysis section wherein the dust analysis section is configured to: generate an X-ray transmission image of each sample and a reference sample; processing the X-ray transmission image of the sample to generate mapped image data of the sample in which metal dust having a diameter within a predetermined range is selectively displayed; and generating component analysis data for each of the metal dusts identified in the mapped image data.

A method for characterization of metallic powder including presenting a metallic powder sample (202) to a laser and detector system (200), wherein the metallic powder sample (202) passes through the laser and detector system (200) via a sample introducer (201); applying a pulsed laser beam (204) to a first location (203) in the metallic powder sample (202) to provide a first micro-plasma (205) at the first location (203) in the metallic powder sample (202) when the pulsed laser beam (204) terminates, the micro-plasma (205) cools to provide spectral emissions (207) at the first location (203); collecting the spectral emissions at the first location (203) in the metallic powder sample (202) with a detector (209); analyzing the spectral emissions (207) at the first location (203) to provide a spectral analysis dataset; and identifying inclusions at the first location (203) in the metallic powder sample (202).

The invention discloses a method for detecting the content of impurity elements in a lithium strip, and relates to the technical field of metal lithium detection. Comprising the following steps: preparing a lithium-containing corrosion inhibition solution and detecting the content of impurity elements; adding a lithium strip sample into the lithium-containing corrosion inhibition solution to prepare a lithium strip water sample, and detecting the content of impurity elements; and further calculating to obtain the content of impurity elements in the lithium strip. According to the method, no treatment is carried out on the lithium strip, direct sampling hydrolysis detection is carried out, the sample environment contact time is short, pollution is small, and the method is a safe and efficient method for preparing the metal lithium strip water-soluble sample. The lithium-containing corrosion inhibition solution is used for reducing the reaction activity of a lithium strip and water, the reaction rate is controllable, and no danger is generated; the lithium-containing corrosion inhibition solution and the lithium strip have the same impurity type, respectively measuring the impurity element contents of the lithium-containing corrosion inhibition solution and the lithium strip water sample through ICP (Inductively Coupled Plasma), and further calculating the impurity element contents in the lithium strip; no new impurity element is introduced during the period, and the impurity element content of the lithium strip can be accurately measured.

To provide a method for generating a model for predicting a potential difference which occurs in an alloy material.SOLUTION: The present invention includes: an acquisition step of acquiring an element concentration distribution for at least one type of element and a potential difference distribution for a mother phase in the surface of an alloy material in a two-dimensional coordinate system; an element region specification step of specifying an element region for an element from each element concentration distribution obtained in the acquisition step; an impurity region specification step of specifying an impurity contained in the alloy material from the element region and specifying the impurity region of the impurity; a potential difference region specifying step of specifying a potential difference generation region in which a potential difference is happening in the mother phase from the potential difference distribution obtained in the acquisition step; and a coordinate system conforming step of making the two-dimensional coordinate systems of the element concentration distribution and the potential difference distribution to each other on the basis of the correlation between the position of one of the element region and the impurity region and the position of the potential difference generation region; and a model generation step of generating a prediction model of which objective variable is a potential difference and explanation variable contains each element concentration from the potential difference between the impurity region and the its corresponding potential difference generation region.SELECTED DRAWING: Figure 1

The present technology provides a device for detecting foreign substances in an electrode active material including: a suspension tank containing a suspension in which an electrode active material is uniformly dispersed; a filter having a predetermined pore size, and configured to filter the suspension transferred from the suspension tank to collect foreign substances in the electrode active material; and an analyzer configured to analyze the filter in which the foreign substances are collected to detect at least one of types, a total number, shapes, and sizes of the foreign substances. The present technology also provides a method of detecting foreign substances in an electrode active material.

The invention belongs to the technical field of non-ferrous metal processing, and relates to a preparation method of a titanium alloy bar for evaluating hard alpha defect influence. According to the preparation method, loose and porous nitrided sponge titanium is added into a titanium alloy raw material, the nitrided sponge titanium is distributed in the geometric center area of the raw material in an electrode pressing die cavity, and the titanium alloy bar containing the hard alpha defect is finally formed through the processes of electrode block pressing, consumable electrode welding and vacuum consumable electric arc melting. The method is used for evaluating the hard alpha defect influence effect. According to the preparation method, the processes of bar drilling, hot isostatic pressing, preset hole welding treatment and the like are omitted, uncertain experimental factors are avoided, the machining process is simple and convenient, and the preparation method can be used for preparing titanium alloy bars with different marks and different hard alpha size defects.

A device for determining the chemical composition of a liquid metallurgical product emitting electromagnetic radiations. The device comprising a collection probe configured to acquire the electromagnetic radiations emitted by the metallurgical product in a predetermined wavelength range Δλ, spectroscopic means connected to the collection probe and configured to generate a spectral signal of the acquired electromagnetic radiations and processing means including a database of reference radiances. The invention is also related to a method using said device.

The present application relates to the technical field of standard sample, in particular to a lithium ore component analysis series standard sample and a preparation method thereof, the chemical component composition and content range of the standard sample are as follows: Li2O: 0.80~6.2%; Na2O: 0.2~4.0%; K2O: 0.4~4.4%; Rb2O: 0.05~0.7%; Cs2O: 0.02~0.3%; SiO2: 49~69%; Al2O3: 14~19%; TiO2: 0.004~0.05%; Fe2O3: 0.3~1.3%; P2O5: 0.1~1.1%; BeO: 0.01~0.05%; CaO: 0.5~7%; MgO: 0.1~0.6%; MnO: 0.04~0.2%; S: 0.005~3%; Ta2O5: 0.01~0.07%; Nb2O5: 0.003~0.02%; F: 0.04~2.2%; ignition loss: 2.0~14%. The lithium ore standard sample prepared by the present application has many fixed values, and the linear relationship of main components is good, and the problem of poor uniformity caused by the segregation of characteristic elements is avoided, the needs of different users, different instruments, different analysis methods can be met, and the lithium ore standard sample can be widely applied to the analysis and quality monitoring of lithium ore.

The invention relates to the technical field of standard samples, in particular to a lithium ore component analysis series standard sample and a preparation method of the lithium ore component analysis series standard sample. 0.2% to 4.0% of Na2O; 0.4 to 4.4 percent of K2O; rb2O: 0.05 to 0.7% of the total weight of the raw materials; 0.02% to 0.3% of Cs2O; 49 to 69 percent of SiO2; 14 to 19 percent of Al2O3; 0.004 to 0.05 percent of TiO2 (titanium dioxide); 0.3% to 1.3% of Fe2O3; 0.1% to 1.1% of P2O5; 0.01 to 0.05 percent of BeO; 0.5 to 7 percent of CaO; 0.1% to 0.6% of MgO; the content of MnO is 0.04 to 0.2 percent; 0.005 to 3 percent of S; 0.01% to 0.07% of Ta2O5; 0.003% to 0.02% of Nb2O5: (2); 0.04 to 2.2 percent of F; and the ignition loss is 2.0-14%. The lithium ore standard sample prepared by the method has many fixed value components and good main component linear relationship, avoids the problem of poor uniformity caused by easy segregation of characteristic elements, can meet the requirements of different users, different instruments and equipment and different analysis methods, and can be widely applied to analysis test and quality monitoring of lithium ore.