8079 results about "Titanium alloy" patented technology

The invention provides a titanium alloy bar visual detection method based on image segmentation. The method comprises the following steps: carrying out pretreatment and feature enhancement operation on an acquired titanium alloy bar surface image; constructing an adaptive segmentation algorithm based on region growth to carry out defect region segmentation on the surface image of the titanium alloy bar; performing defect feature extraction on the segmented defect region; a defect classification model is constructed, and titanium alloy bar defect types are classified based on defect features; performing quantitative analysis on the defect severity through a defect severity quantitative model; establishing a defect causal chain model, and carrying out defect traceability analysis and causal derivation; after defect traceability analysis is completed, fusion analysis is carried out on the multi-scale features, and decision suggestions are given. According to the method, the surface defects of the titanium alloy bar can be efficiently and accurately recognized and classified, the accuracy and robustness of defect detection are improved, and the defects of a traditional detection method in the aspects of efficiency, recognition capability, quantitative analysis and the like are effectively overcome.

The present invention relates to a flexible continuum joint, a flexible robotic arm, and a minimally invasive surgical robot for TEM. The flexible continuum joint comprises a double-helix structure formed by two helical springs, wherein a central channel is provided inside the double-helix structure, a hollow tube arranged coaxially with the double-helix structure is provided in the central channel, and a plurality of notches are formed on the hollow tube. The flexible robotic arm is composed of a linkage joint formed by an active section and a passive section, and an end joint, wherein the active section and the end joint are both driven by a drive wire, and the passive section is driven by a nickel-titanium alloy rod. The minimally invasive surgical robot comprises an endoscopic arm and two robotic arms, and has 19 degrees of freedom overall. In addition, the provision of the linkage joint in the flexible robotic arm and the application of a hybrid drive mode combining a drive wire and a nickel-titanium alloy rod not only reduces the number of drives, but also avoids the problem of motion coupling between joints, thus effectively overcoming the problems of insufficient degrees of freedom and poor motion accuracy in existing minimally invasive surgical robots for TEM.

The invention discloses a high-impact-toughness Ti80 titanium alloy forging stock with the extra-large specification of more than 9 tons and a manufacturing method. The manufacturing method comprises the following steps: S1) adopting a Ti80 titanium alloy cast ingot with the diameter of 960-1060 mm and the weight of 9-17 tons; (S2) cogging and forging are conducted, the cast ingot is subjected to upsetting and drawing for 2-5 heating numbers in a beta-phase region, and the upsetting and drawing deformation of each heating number is 30-55%; (S3) intermediate forging is conducted, specifically, the blank is subjected to 3-4 heating number upsetting and drawing in a beta-phase region, the upsetting and drawing deformation of each heating number is 30-55%, and air cooling is conducted after upsetting and drawing; and (S4) finished product forging is conducted, 3-5 heating number drawing is conducted at the temperature 30-60 DEG C below the phase transformation point, the deformation of each heating number is 10-30%, and the total deformation is larger than or equal to 50%. The thickness of the obtained forging stock is 200-500 mm, the width is 1000-2500 mm, the length is 2000-4000 mm, and after the forging stock is annealed, the tensile strength of each position is larger than or equal to 840 MPa, the yield strength is larger than or equal to 740 MPa, the ductility is larger than or equal to 10%, and the impact energy is larger than 60 J. And the obtained forging stock is uniform in structure, the material is not cracked in the forging process, and the yield and the impact toughness after annealing are improved.

The invention relates to the field of welding machining, in particular to a titanium alloy shell combined laser welding device which comprises a welding gun and a wire feeding mechanism. The wire feeding mechanism comprises a shell, a wire reel and a wire feeding assembly. The wire feeding assembly comprises a mounting seat, a wire feeding wheel, a wire pressing structure and an adjusting part; the mounting base is fixed to the shell, the wire feeding wheel is rotationally mounted on the mounting base, and the rotating axis of the wire feeding wheel is parallel to that of the wire reel; a plurality of wire feeding grooves used for being matched with welding wires are sequentially distributed in the peripheral wall of the wire feeding wheel in the axial direction of the wire feeding wheel. And the wire pressing structure is used for pressing the welding wire on the wire feeding wheel downwards. The axial displacement of the wire feeding wheel is adjusted through the adjusting part, the wire feeding groove matched with the welding wire can be switched without replacing the wire feeding wheel, the adjusting part enables the jacking pressure of the wire pressing structure on the welding wire to be in positive correlation with the diameter of the welding wire matched with the wire feeding groove, in other words, the thicker the welding wire is, the larger the jacking pressure of the wire pressing structure on the welding wire is through the adjusting part, and the wire feeding effect is guaranteed; and slipping in the conveying process caused by the change of the size of the welding wire is avoided.

The invention relates to the technical field of performance detection, and discloses a blade structure performance detection device and method, and the method comprises the steps: carrying out the laser ultrasonic scanning of a titanium alloy engine blade, and obtaining multi-mode spectrum feature data; performing parameter inversion and iterative optimization calculation according to the multi-modal spectrum characteristic data to obtain material parameter distribution data of a local area of the blade; performing annular scanning analysis on the titanium alloy engine blade based on the material parameter distribution data to obtain local structure feature data; performing modal decomposition on the local structure feature data to obtain fatigue damage accumulation data; and inputting the accumulated fatigue damage data into a dual decoupling diagnosis model for comparative learning and antagonistic feature separation to obtain a target diagnosis result, the method overcomes the limitation of a traditional linear superposition method, accurately predicts the fatigue damage evolution law under a complex load, effectively solves the problem of working condition interference, and improves the diagnosis accuracy. And the robustness and generalization of fault diagnosis are enhanced.

The invention relates to the technical field of power transmission, in particular to a moisture-proof cable which sequentially comprises a conductive wire core, a gradient buffer layer, a dynamic sealing layer, a flexible supporting layer and a self-repairing sheath from inside to outside. A gradient buffer layer; the dynamic sealing layer is of a split type sealing structure formed by an outer ring surface sealing lip and an inner ring surface static sealing belt, the outer ring surface sealing lip is formed by embedding a polytetrafluoroethylene fiber reinforcing layer in a silicone rubber matrix, and the surface of the outer ring surface sealing lip is coated with a humidity response type graphene coating; the flexible supporting layer is formed by spirally winding a nickel-titanium alloy belt, and bionic fish scales are welded to the surface of the nickel-titanium alloy belt; the self-repairing sheath is characterized in that a hexagonal honeycomb structure is molded on the outer layer, hydroxyl-terminated polysiloxane and a platinum catalyst are contained in an A-type microcapsule, and modified epoxy resin is contained in a B-type microcapsule. The moisture-proof cable shows excellent corrosion resistance, moisture resistance and self-repairing capability in a humid environment, and can maintain good performance when subjected to external physical impact.

The invention relates to a preparation method of a low-cost TC21 titanium alloy large-specification bar, which comprises the following steps: 1) carrying out two-heating cogging forging on a TC21 titanium alloy ingot: carrying out beta single-phase region high-temperature forging at the first heating to obtain an intermediate billet ingot with a square cross section; in the second heating number, low-temperature upsetting and reversing drawing-out forging are carried out, then high-temperature forging is carried out, and an intermediate billet cast ingot with the square section and the grain size being 1-2 mm is obtained; (2) three-heating-number bar forging is carried out, specifically, in the first heating number to the second heating number, the intermediate blank cast ingot is upset and then drawn out and forged into a blank with the octagonal section in each heating number, and in the third heating number, the intermediate blank is drawn out into an intermediate blank with the twelve-square section; and (3) forming and forging for one heating number, wherein the middle blank with the twelve-square section is milled into a rod blank with the round section and the required size. By means of the method, the uniformity of the bar structure is improved, and the TC21 titanium alloy large-specification bar with the structure and performance meeting the requirements of phi 350 mm can be prepared at low cost.

The invention relates to the technical field of ultrasonic flaw detection of titanium alloy bars, in particular to an ultrasonic flaw detection method and system for titanium alloy bars, and the method comprises the following steps: obtaining ultrasonic signals of all positions; obtaining a receiving duration sequence of each position; according to the difference between adjacent peak values in the ultrasonic signal of each position, the dispersion degree of all the peak values, the average level of the receiving duration sequence and the difference between the receiving duration sequence of each position and the receiving duration sequence of the adjacent position, the real defect of each position is obtained; according to the dispersion degree of the amplitude average level of all the modal components of each position, the total number of the modal components and the energy concentration degree and the bandwidth of the ultrasonic signal of each position in the frequency domain, obtaining a signal abnormal factor of each position; defect factors of all the positions are obtained, and then whether defects exist in all the positions or not is judged. By analyzing the signal characteristics of the real defects in the titanium alloy bar, the accuracy of ultrasonic flaw detection of the titanium alloy bar is improved.

The invention provides a titanium alloy thin-wall part high-precision milling method and system based on dynamic compensation, and the method comprises the following steps: constructing a multi-physics field coupling model based on the constitutive relation and milling process parameters of a titanium alloy material; according to the method, a multi-physical field coupling model represented by dynamic parameters is constructed, structural feature recognition and coupling weight dynamic allocation are combined, and the model is iteratively optimized through a detection result after processing, so that the problem that a traditional prediction model is disjointed from an actual working condition is solved; by building a real-time monitoring and feedback system and combining a dynamic compensation closed-loop mechanism, non-interruption linkage of monitoring-adjustment in the machining process is achieved, and the problem that the hysteresis of a traditional compensation method is remarkable is solved; the initial compensation amount is optimized through a multi-objective genetic algorithm, a self-adaptive processing path strategy is adopted, dynamic parameter adjustment of structure adaptation is combined, a traditional single compensation strategy is replaced, and the problem of dynamic rigidity change in the complex curved surface and material removal process can be flexibly solved.

The invention provides an anti-gravity investment casting device suitable for titanium alloy and a casting method of the anti-gravity investment casting device, belongs to the field of titanium alloy casting, and solves the problems that an existing anti-gravity forming device has a sealing problem and a riser tube cannot be centered with a pouring gate inlet of a mold shell. Wherein the lifting structure can drive the mold assembly to move in the vertical direction, a mold shell in the mold assembly is located in the sand box, the sand box abuts against the top face of the flange sleeve, the flange sleeve is arranged on the mold support in a sliding and penetrating mode, and the upper pressing plate abuts against the upper portion of the sand box and is connected with the mold support. The water-cooled copper crucible is located below the riser tube, a flange structure is arranged at the upper end of the riser tube, the positioning and centering structure is used for enabling a pouring gate inlet of the mold shell and the riser tube to be coaxially arranged, the sealing structure comprises a first sealing ring and a second sealing ring, the first sealing ring is located between the flange sleeve and the flange structure, and the second sealing ring is located between the flange sleeve and the flange structure. The second sealing ring is located between the flange sleeve and the middle partition plate. According to the device, the pouring gate inlet of the mold shell can be centered with the riser tube, and the lower working tank is completely sealed.

The intelligent cutting method comprises the steps that the temperature gradient change rate is analyzed according to temperature distribution data, a key area where an oxidation reaction is likely to happen is determined in combination with geometrical characteristics, and target monitoring area data are obtained; obtaining reflection spectrum information of the cutting area and comparison spectrum information of the adjacent non-cutting area according to the target monitoring area data, and obtaining spectrum characteristic data; performing space-time collaborative analysis on the spectral feature data, extracting a spectral feature change value, and combining the spectral feature change value with the diffusion rate of the oxidation reaction to obtain oxidation state prediction data; and according to the oxidation state prediction data, the cutting power is adjusted in different regions, the flow field parameters of the protective gas are dynamically compensated, and cutting of the titanium alloy structural part is executed. According to the technical scheme, through spectrum monitoring and space-time collaborative analysis, dynamic prediction and accurate regulation and control of the oxidation reaction are achieved, the problem that laser energy coupling is not stable due to the surface oxidation reaction is solved, and the cutting quality is guaranteed.

An isothermal near-net forming method of a TC4 titanium alloy aeroengine blisk comprises the following steps that (1) the surface of a TC4 titanium alloy bar is coated with a glass lubricant, and the TC4 titanium alloy bar is heated to T beta-(30-80) DEG C; 2) coating a glass lubricant on the pre-forging die and heating the pre-forging die to T beta-(30-80) DEG C; (3) the bar is loaded into a pre-forging die to be forged into an intermediate blank, at least one heating number of forging is carried out, the strain rate is smaller than or equal to 0.01 s <-1 >, and the deformation amount is 60-70%; after forging is completed, the intermediate blank is water-cooled to the room temperature; (4) the intermediate blank is heated to T beta-(30-80) DEG C; 5) coating a glass lubricant on a finish forging forming die and heating to T beta-(30-80) DEG C; the method comprises the following steps of (1) carrying out primary forging on an intermediate blank, (2) carrying out secondary forging on the intermediate blank, (3) carrying out secondary forging on the intermediate blank, (4) carrying out secondary forging on the intermediate blank, (5) carrying out secondary forging on the intermediate blank, (6) loading the intermediate blank into a final forging forming die, pressing the intermediate blank into a blisk forge piece, carrying out at least one-heating-number forging, carrying out water cooling on the blisk forge piece to room temperature, (7) carrying out solution treatment on the blisk forge piece and carrying out water cooling to room temperature, and (8) carrying out aging treatment on the blisk forge piece and carrying out air cooling to room temperature.

The invention discloses a polylactic acid injection molding mold based on a gradient heat conduction composite structure and a heat management method thereof, and belongs to the technical field of high polymer material molding processing equipment.The polylactic acid injection molding mold comprises a) a surface high heat conduction layer which is made of a copper-based composite material, has the heat conduction coefficient larger than or equal to 400 W / m.K and is used for rapidly and directionally transferring heat to the surface of a mold cavity; and b) an intermediate transition layer composed of a titanium alloy porous structure. High-efficiency production is realized through innovative design and advanced technology. Integrated metallurgical bonding of the gradient heat conduction structure is achieved through the selective laser melting technology, and the heat flow directivity is enhanced; the dual-mode cooling system is combined with closed-loop temperature control, and the temperature is accurately regulated and controlled; the high-performance material improves the comprehensive performance of the mold; and the structural stability is guaranteed through accurate technological parameters. According to the thermal management method, through multi-physical field simulation optimization, rapid heating and cooling are achieved, the forming period is shortened to 16-18 seconds, the calculation efficiency is improved by 80%, and the production efficiency and the product quality are effectively improved.

The invention relates to the technical field of precision manufacturing nondestructive testing and machine vision image processing, in particular to a titanium alloy ring piece surface microcrack defect detection system based on machine vision, which comprises an image acquisition module for acquiring a to-be-processed image data set; the manifold calibration module is used for acquiring a main direction field of background textures and converting the to-be-processed image data set into a standard space image with aligned texture flow; the sparse decomposition module is used for acquiring a shear wave coefficient and decomposing the shear wave coefficient into a low-rank component matrix and a sparse component matrix; the reconstruction judgment module is used for generating a microcrack defect distribution diagram, obtaining a residual image and generating a final defect distribution diagram; the self-adaptive feedback module is used for adjusting the sparsity constraint weight in the robust principal component analysis algorithm; according to the method, the problem of signal aliasing caused by frequency overlapping of cracks and background textures is effectively solved, and the detection sensitivity under the strong texture background is remarkably improved.

The invention discloses a method for preparing a high-performance injection-molded titanium alloy product by adding an oxygen absorbent, which comprises the following steps of: 1, ball-milling titanium alloy spherical powder and YB6 powder to obtain mixed powder; 2, the mixed powder and a binder are subjected to banburying and granulation, and granular injection molding titanium alloy product feed is obtained; thirdly, the feed is injected into a mold, and an injection-molded titanium alloy product green body is obtained; 4, performing catalytic degreasing on the green body to obtain a degreased blank; and fifthly, the degreased blank is subjected to thermal degreasing and sintering, and the injection molding titanium alloy product is obtained. YB6 is adopted as an oxygen absorbent, the oxygen content in a matrix of the injection-molded titanium alloy product is reduced, meanwhile, TiB and Y2O3 reinforced phases are generated in situ, synchronous improvement of strength and plasticity is effectively achieved, the high-performance injection-molded titanium alloy product is obtained, and the obtained injection-molded titanium alloy product is low in oxygen content, high in density, excellent in mechanical property and good in mechanical property. And the development of the titanium and titanium alloy injection molding industry can be promoted.

The invention provides a titanium alloy forge piece forming characteristic detection and quality evaluation method based on machine learning. The method is applied to the technical field of artificial intelligence and quality detection and comprises the steps that temperature, pressure, deformation quantity and strain information in the titanium alloy forging process are collected in real time through a multi-mode sensor, and data preprocessing is carried out; a machine learning model is constructed and trained, the structured feature data set is input into the trained machine learning model, and a forming feature detection result of the titanium alloy forge piece is output; and the difference degree between the forming characteristic detection result and standard data in a quality standard database is calculated, the quality grade of the titanium alloy forge piece is determined according to the difference degree, and quantitative evaluation of the quality of the titanium alloy forge piece is achieved. According to the method, the detection precision of the titanium alloy forge piece is effectively improved, the calculation amount is reduced, and the self-adaptive optimization capability of the system is enhanced.

The invention discloses a preparation method of a high-uniformity titanium alloy bar, which comprises the following steps of: performing reversing upsetting and drawing on a round billet or a near-round billet, controlling the rotation times of drawing in the reversing upsetting and drawing, performing spheroidization in combination with dynamic recrystallization, and returning to the original temperature after forging to enable an alpha phase to be further subjected to static recrystallization, thereby obtaining the high-uniformity titanium alloy bar. Meanwhile, the beta phase is recovered to form a subcrystal structure, and the beta phase and the alpha phase are further subjected to static recrystallization to be refined by heating to T beta-(10-30) DEG C. The problems of cracking and non-uniform deformation caused by reversing upsetting in the prior art can be remarkably improved, and the cracking degree of the blank is remarkably relieved while the structure uniformity is improved.

The invention relates to the technical field of machine tool control, in particular to a numerical control machine tool intelligent control method and system for aviation titanium alloy structural part machining. According to the method, firstly, three kinds of working condition data of cutting force, temperature and vibration are collected, then, working condition feature vectors are extracted and input into a pre-training model, an optimized combination value of the feeding speed and the main shaft rotating speed is obtained, and finally, the machine tool track is adjusted in real time based on optimized parameters. And through continuous optimization of the deep learning model, the adaptive capacity to complex working conditions is improved, and the machining precision and the surface quality of the aviation titanium alloy structural part are improved.

A method for improving the fatigue performance of a titanium alloy seamless tube. The method comprises: S1, mixing raw materials, pressing same into a plurality of electrode blocks, and welding the plurality of the electrode blocks to obtain a consumable electrode; S2, smelting the consumable electrode 2-3 times by using a vacuum consumable electrode arc furnace, so as to obtain a titanium alloy cast ingot; S3, upsetting and drawing the cast ingot multiple times and rolling same into a titanium alloy bar; S4, subjecting the bar to precision forging, with the amount of times of heating being no more than twice; S5, annealing and straightening same, followed by turning and drilling treatments, so as to obtain a rough blank of a titanium alloy seamless tube; S6, subjecting same to multi-pass cold rolling, so as to obtain a semi-finished titanium alloy seamless tube product; S7, performing vacuum annealing and acid pickling; S8, performing electrolytic-magnetic composite polishing; and S9, performing a shot blasting treatment. The method can effectively improve the rotating bending fatigue performance, and the titanium alloy seamless tube can endure 20 million test cycles.

The invention discloses a method for detecting the tensile property of a titanium alloy wire, and relates to the technical field of material detection.The method comprises the following steps that S1, sample preparation and microstructure pre-detection are conducted; s2, carrying out pre-stretching stress distribution equalization treatment; s3, determining an area where local plastic deformation possibly occurs in the sample; s4, performing dynamic tensile load increment control; s5, displacement field analysis is introduced, and data correction is carried out; s6, microcrack monitoring is carried out; s7, fracture mechanism analysis and fracture morphology characterization are carried out; and S8, constructing a dynamic damage evolution model. According to the method, by effectively simulating complex load conditions of the titanium alloy wire in actual use, test errors caused by constant-rate loading in a traditional method are avoided. In combination with dynamic correction of stress-strain data and a micro-crack monitoring technology, key behaviors of yield, plastic deformation, crack propagation and the like of the material under different loading conditions can be captured in real time, so that the tensile property of the material is accurately evaluated.

The invention relates to the technical field of titanium alloy machining, and particularly discloses a forging method for improving the macrostructure uniformity of a TC2 titanium alloy large-specification bar, which is realized through cogging forging, twice alpha + beta phase region remelting dynamic beta recrystallization forging, two-phase region upsetting and drawing forging and two-phase region drawing forging. The TC2 titanium alloy bar with the specification of phi 300-phi 400 mm prepared through the method is fine and uniform in macrostructure and meets the 1-5 grade of a macroscopic rating chart in the product standard, and the structure of a ring forge piece subjected to die forging through the bar is greatly improved and meets the standard requirement.

The invention discloses an analysis method and system for a dynamic recrystallization structure form of a titanium alloy based on machine learning and a medium, and belongs to the technical field of metal material microstructure quantitative characterization, a Gleeble thermal compression test is processed on a titanium alloy to be tested, multi-modal data is collected, a DRX probability graph is output based on a DRX segmentation model, and then the characteristics of DRX are extracted. And respectively inputting the DRX features into the first-level classifier, carrying out PCA dimension reduction processing, splicing and fusing the prediction probability and the features after dimension reduction, and inputting the spliced and fused features into a second-level classifier to output a two-dimensional DRX segmentation map. Based on the FIB-SEM tomography sequence image, reconstructing a three-dimensional model of the DRX crystal grain so as to carry out consistency verification on the two-dimensional DRX segmentation image; and evaluating a correlation coefficient of the three-dimensional model and the two-dimensional DRX model, and finally carrying out three-dimensional visualization on the space aggregation of the DRX crystal grains. According to the method, the automation degree and efficiency of dynamic recrystallization proportion and type identification are remarkably improved.

The invention discloses a method for rolling a TA21 titanium alloy sheet. The method comprises the following steps: 1, coating the surface of a TA21 titanium alloy plate blank with an anti-oxidation coating; 2, rolling for the first heating number; 3, cutting treatment; 4, rolling for the second heating number; and 5, cutting. 6, quenching treatment; 7, rolling for the third heating number; 8, cutting treatment; 9, annealing the semi-finished product; 10, cold rolling; and 11, annealing a finished product. According to the method, first two-heating-number rolling is carried out in a two-phase region, coarse beta grains are formed in combination with quenching and heat preservation, a long-strip-shaped alpha phase is separated out from a coarse beta phase through rapid water cooling to form a needle-shaped widmannstatten structure, then one-heating-number reversing large-deformation rolling and cold rolling are carried out in the two-phase region, a large number of structures are crushed and refined, the needle-shaped widmannstatten structure is spheroidized, and the needle-shaped widmannstatten structure is obtained. The TA21 titanium alloy thin plate with fine and uniform tissue is obtained, the plate blank is fully utilized, and the production efficiency is greatly improved.

The invention discloses a titanium alloy microscopic structure prediction method and system based on a conditional generative adversarial network and a storage medium, and belongs to the following steps: firstly, constructing a process-structure mapping model, and taking the output of the model as a rule constraint condition; inputting the random noise vector and the rule constraint condition into a conditional generative adversarial network to generate a prediction image; according to the generative adversarial network, thermal dynamic constraints based on physical quantities of microscopic structures are introduced in the training process, so that the interpretability of a prediction result is improved. And carrying out quantitative comparison on the predicted image and the real image, verifying the consistency of the statistical characteristics, and if the verification is passed, outputting a prediction result. According to the method, end-to-end prediction from process parameters to microscopic structure images is realized, the limitation that only symbolization or parameterization prediction can be carried out in a traditional method is broken through, and the intuition, the interpretability and the engineering application value of the method are remarkably enhanced.

A thermal processing method for improving high-speed impact resistance of a two-phase titanium alloy includes the steps of: a, heating a two-phase titanium alloy slab blank step by step; b, using a reversing rolling mode to first perform transverse rough rolling, and then reverse a plate blank for longitudinal rolling, and c, water-cooling the rolled plate, and then performing solution heat treatment and aging treatment. According to the method, the anisotropy of transverse and longitudinal properties of the finished plate can be reduced by using a method of two-stage rolling in a β-phase region and an a+β two-phase region, and in combination with rapid cooling after rolling and solid-solution and aging strengthening heat treatment, high strength and excellent high-speed impact resistance of the product can be ensured, and the protective performance of the material is greatly improved.

The invention belongs to the technical field of laser processing, and particularly relates to a method for manufacturing a titanium alloy through wire powder coordinated multi-mode laser coupling additive manufacturing, and the method comprises the steps of base material pretreatment, multi-mode coupling laser construction, additive manufacturing, surface strengthening and the like. According to the titanium alloy part manufacturing device and method, material conveying is conducted in the mode that wire feeding and powder feeding are combined, structures with large areas in parts are rapidly manufactured through wire feeding, fine structures are manufactured through powder, and the titanium alloy parts can be efficiently manufactured in a high-precision mode. In the additive manufacturing step, multi-mode coupling annular laser is adopted, annular flat-topped pulse laser can accelerate flowing of a liquid phase before solidification, so that dendritic crystal arms formed through solidification in advance are broken to form new crystal nucleuses, then an equiaxed crystal structure is formed, and the strength and plasticity of the titanium alloy are improved. The annular flat-topped pulse laser can accelerate stirring of the molten pool, the heat mass conveying rate in the molten pool is increased, the element segregation phenomenon is relieved, and finally a uniform and stable titanium alloy structure is obtained.

The invention relates to the technical field of metal material detection, in particular to a titanium alloy bar machining quality detection method and system, and the method specifically comprises the steps: carrying out the superpixel segmentation of the section of a titanium alloy bar, constructing a mirror image edge texture saliency value of a superpixel block based on the proportion of edge points in the superpixel block and the edge gradient, and carrying out the detection of the machining quality of the titanium alloy bar. Constructing the mirror image texture intensity of the titanium alloy bar by combining the gray level distribution concentration characteristics of the titanium alloy bar, and performing image segmentation on the section of the titanium alloy bar; and in each segmented region, based on the edge line fuzzy degree difference and the pixel gray level difference of each super-pixel block and the rest of super-pixel blocks, combining a mirror image edge texture saliency value to construct a segregation evaluation value of each super-pixel block, and based on the segregation evaluation value, carrying out titanium alloy bar segregation quality defect detection. The titanium alloy bar segregation defect identification capability is enhanced, the titanium alloy bar segregation defect detection accuracy under the titanium alloy bar mirror image scene is improved, potential problems can be found earlier, missing detection is avoided, and the defective rate is reduced.

Disclosed is a method for preparing a heterogeneous metal composite structure for medical implantation, including the steps of: step 1, preparing titanium alloy powder into a porous skeleton according to different printing strategies; step 2, filling magnesium after being melted into pores of the porous skeleton; and step 3, cooling a titanium-magnesium interpenetrating phase composite structure prepared in step 2 to room temperature, and covering a surface of the titanium-magnesium interpenetrating phase composite structure with a hydroxyapatite coating. In the present disclosure, a porous lattice dot-array structure of titanium alloy is used as a skeleton, and the skeleton pore is filled by pressureless infiltration of magnesium or hot isostatic pressure.

The invention belongs to the technical field of medical instruments, and particularly relates to a spinal epidural ventral side double-wing-shaped stimulation electrode and motion function reconstruction system, the spinal epidural ventral side double-wing-shaped stimulation electrode and motion function reconstruction system comprises two wing panels, each wing panel comprises a flexible substrate, the flexible substrate is provided with two bifurcated preset-curvature double-wing structures; the electrode contact array is integrated on the flexible polar plate through a bonding pad; according to the double-wing-shaped flexible substrate, through a double-wing structure with a preset curvature, after being unfolded under the driving of a nickel-titanium alloy framework, the double-wing-shaped flexible substrate accurately covers a spinal cord ventral side and double-side anterior angle motor neuron pool, and the problem that a traditional single-piece / rod-shaped electrode can only cover a back side sensing area and cannot cover a back side sensing area is solved. The ventral motor neuron group cannot be directly activated; a stimulation target spot is transferred to a ventral functional core area from a dorsal non-target area for the first time, and the anatomical suitability bottleneck of motor function reconstruction is solved.

The invention discloses a method for rolling a thin-gauge ultra-wide TC4 titanium alloy plate through one heating number, the thin-gauge ultra-wide TC4 titanium alloy plate is obtained through the processes of EB slab ingot, explosive cladding, plate blank heating, one heating number rolling, straightening and annealing, the plate width of the thin-gauge ultra-wide TC4 titanium alloy plate is 3500-4300 mm, the plate thickness of the thin-gauge ultra-wide TC4 titanium alloy plate is 20-30 mm, the microstructure of the thin-gauge ultra-wide TC4 titanium alloy plate is an alpha + beta double-state structure, and the thickness of the thin-gauge ultra-wide TC4 titanium alloy plate is 20-30 mm. The method has the advantages of good plate surface quality, wide plate breadth, small longitudinal and transverse mechanical property difference and the like.