104 results about "Material density" patented technology

The invention relates to the field of computer-aided engineering and intelligent manufacturing, and provides a topological optimization design method integrating subjective preferences. The method comprises the following steps: initializing material density distribution in a design domain, and intelligently recommending an initial density distribution scheme according to a subjective preference type selected by a user; calculating an objective response value and sensitivity thereof; calling a pre-trained subjective preference scoring model to subjectively evaluate the current material density distribution, outputting a subjective evaluation value, and calculating the sensitivity of the subjective evaluation value based on a numerical perturbation method; the objective response value, the sensitivity of the objective response value, the subjective evaluation value and the sensitivity of the subjective evaluation value are input into an MMA optimizer for iterative calculation, and material density distribution is dynamically updated to balance subjective preference and objective constraint; and judging whether the updated material density distribution meets a convergence condition set by a user, if so, performing post-processing visualization on the optimized material density distribution, and outputting a final topological configuration, otherwise, returning to a new round of iteration.

The invention discloses a grab bucket crane loading control system and method, and relates to the technical field of loading and unloading automation, a weighing sensing module is integrated in a grab bucket to collect the actual weight of a single-bucket material in real time, and a bucket number calculation module is combined to dynamically update the material density and correct the number of residual feeding buckets in a closed loop mode, so that the loading total amount precision is remarkably improved; the problem of overload and underload caused by material density fluctuation is effectively solved, meanwhile, space coordinates and swing angles are monitored in real time through the grab bucket positioning module, angle, speed and height compensation instructions are dynamically generated through the motion control module, and real-time correction of drop point deviation is achieved. In addition, the accumulated weight and the balance index of each subarea of the compartment are calculated in real time by means of the loading balance module, the falling point is automatically switched to the lowest loading area, uniform material distribution is ensured, the unbalance loading risk is avoided, and the compartment space utilization rate is increased.

The invention belongs to the technical field of structure optimization design, and particularly relates to a fiber composite failure safety topological optimization design method and system under a dynamic load, and the method comprises the steps: defining a design domain and related design parameters based on the stress working condition and geometric characteristics of a to-be-optimized structure; carrying out transient dynamic analysis and constructing an equivalent static load for topological optimization, constructing a multi-local failure working condition by taking material density, angle subinterval selection and a fiber angle as design variables, introducing an equivalent directional stiffness matrix continuously related to the fiber angle, and aggregating a multi-working-condition flexibility target by adopting a normalized KS function; failure safety topological optimization iteration and internal and external circulation convergence judgment are carried out in combination with a moving asymptote method, and collaborative optimization of structural topology and fiber orientation is achieved under the dynamic load condition. The problem that it is difficult to consider structural redundancy, failure safety and fiber orientation collaborative design in fiber reinforced composite topological optimization under the dynamic load is solved, and structural safety redundancy and local damage resistance are improved.

The invention relates to the technical field of welding quality intelligent control, and discloses a friction stir welding method and system based on ultrasonic detection.The friction stir welding method based on the ultrasonic detection.The friction stir welding method based on the ultrasonic detection.The friction stir welding method based on the ultrasonic detection.The friction stir welding method comprises the following steps that the material density and the sound velocity are obtained, and acoustic impedance is calculated and matched with a wavelet basis function; pre-welding ultrasonic detection is carried out based on the function, and a defect-free reference signal is constructed; real-time ultrasonic signals and temperature and stress information are collected in the welding process; extracting features and inputting the features into a neural network, and outputting a defect probability graph; constructing a state vector and inputting the state vector into a reinforcement learning module; outputting and executing a welding parameter adjusting action; and predicting the performance by using a physical information neural network, and triggering parameter resetting when the performance is lower than a threshold value. The method for constructing the defect probability graph based on the ultrasonic data is adopted, the ultrasonic detection signals are mapped into the space probability distribution graph, visual perception of the defects in the welding seam is achieved, and the technical effect that potential defects in the welding area can be accurately recognized without damaging a sample piece is achieved.

The invention discloses a preparation method of a high-hardness high-wear-resistance magnesium-based composite material, which comprises the following steps: material preparation, remelting, casting and extrusion: adding mass B4C at the semi-solid temperature of AZ91 alloy, stirring and cooling to form a casting rod for later use; additionally preparing an AZ91 alloy solution; a mold with the proper diameter is selected, the standby casting rod is placed in the center of the mold, the AZ91 alloy solution is poured into the mold, meanwhile, the mold is placed on a vibration platform to be continuously vibrated till the solution is completely solidified, and the magnesium-based composite material is formed; and the magnesium-based composite material which is completely solidified is subjected to texture heat treatment and cooling, and then is heated again for extrusion deformation. The problem that an existing composite material is difficult to extrude is effectively solved, meanwhile, the hardness of an alloy layer is greatly improved, internal defects are remarkably reduced, and the material density is improved; meanwhile, B4C particles are promoted to be uniformly dispersed in a matrix, local agglomeration is avoided, and the hardness and wear resistance of the composite material are improved; and the cracking risk in the extrusion process is effectively reduced.

A testing method for Young's modulus and Poisson's ratio based on a square plate is provided, which including: obtaining a height, a length, a density, and a quality information of the square plate specimen; measuring the first-order torsional frequencie and the second-order torsional frequencie of the square plate specimen; calculating Poisson's ratio based on the height, the length, the first-order torsional frequency, and the second-order torsional frequency of the square plate specimen; calculating the Young's modulus of the square plate specimen based on the Poisson's ratio and the density. The method establishes a continuous function relationship between the parameter set of the test specimen and the torsional frequency using homotopy method, which can be used to calculate Poisson's ratio. When the material density and Poisson's ratio are known, the Young's modulus can be calculated in conjunction with ANSYS software. The method has advantages in both testing efficiency and accuracy.

The invention discloses a high-toughness light-weight automobile body material for a new energy automobile, and belongs to the technical field of advanced non-ferrous metal materials, the material comprises, by weight, 1.2%-1.8% of Li, 0.8%-1.5% of Cu, 0.6%-1.2% of Mg, 0.3%-0.8% of Zn, 0.10%-0.18% of Zr, 0.05%-0.15% of Sc, 0.02%-0.08% of Ti, less than or equal to 0.15% of Fe, less than or equal to 0.12% of Si and the balance Al and inevitable impurities, by optimizing the alloy component proportion and the preparation technology, the material density is reduced to 2.58 g / cm < 3 >-2.65 g / cm < 3 >, the tensile strength reaches 520 MPa-580 MPa, the elongation at break reaches 12%-16%, and the service life of the material is prolonged. The alloy has the advantages that the tensile strength is high, the fracture toughness reaches 28 MPa.m < 0.5 >-35 MPa.m < 0.5 >, the anisotropy difference is smaller than 15%, the welding joint coefficient reaches 0.75-0.85, the comprehensive performance is excellent, and the alloy is suitable for manufacturing new energy automobile body structural parts.

The utility model discloses a material level detection device for solid materials in a stock bin and the solid stock bin, and belongs to the technical field of material level measurement equipment. The device comprises a moving rod, a cambered surface movable cover, a linear bearing guide piece, an adjustable check ring, a spring elastic piece and the like, a sealing structure is formed through a flexible connecting piece (an organ cover), and material interference is avoided. The adjustable check ring is combined with the key connection design, the detection pressure can be adjusted according to the material density, and detection of particles, powder and other solid materials is adapted. The device solves the problems of dust interference, misjudgment of hanging materials, mechanical abrasion, complex calibration and the like in the prior art, has the advantages of being high in environmental adaptability, small in abrasion, convenient and fast to maintain and the like, can effectively achieve automatic detection of the high and low material levels of the stock bin, and guarantees the stability of continuous production.

The embodiment of the invention provides a preparation method of graphene composite powder. The preparation method comprises the following steps: adding a mixed material of powder and a solid carbon source into a reaction cavity; vacuumizing the interior of the reaction cavity, and then filling inert gas to normal pressure; treating the mixed material in the reaction cavity by adopting an acoustic resonance process, and setting sound wave frequency, acceleration, treatment time and material temperature; and collecting products, and cleaning and separating powder. A mixed material in a reaction cavity is treated by adopting an acoustic resonance process, direct contact friction between a grinding material and powder is avoided through acoustic resonance mixing, the risk that impurities are introduced due to mechanical abrasion is reduced, and the problems that the cost is high and the compounding efficiency is low when graphene powder is prepared through a conventional vapor deposition method are solved; the acoustic streaming effect generated by resonance can permeate into the powder aggregate, the aggregate structure is effectively disassembled and is not influenced by different material densities, powder particles with different particle sizes and different components are promoted to be uniformly dispersed and interacted, and the shape of the original powder is not changed.

The invention relates to a heavy hammer for hydrographic survey, and belongs to the technical field of hydrographic survey instruments. The design of the heavy hammer is based on taking a volume V, a material density rho and a shape parameter as core decision variables and taking a minimum mass m as a target function; the optimal mathematical model meets the requirements of a water surface tension change threshold value delta T1 caused by buoyancy, a water bottom tension change threshold value delta T2 caused by water bottom support, a terminal sinking speed threshold value vmin, the maximum mass gamma < = 0.5 kg and the maximum boundary dimension constraint. The heavy hammer is spherical, drop-shaped or torpedo-shaped, specific volume, density and mass parameters are obtained through optimization calculation, and high-tension detection sensitivity and rapid sinking efficiency are achieved while portability is ensured. Preferably, the heavy hammer is of a separable assembly type structure, and a containing cavity and a counterweight metal block are arranged in the heavy hammer so as to adjust the density and the mass. According to the system, the problem of contradiction between performance indexes in heavy hammer design is solved, and the comprehensive measurement performance is remarkably improved.

This invention discloses an anti-scaling and anti-wax alloy material for circulating water systems and its surface treatment method, relating to the field of scale inhibition and prevention. The material includes an alloy matrix, the chemical composition of which, by mass percentage, is as follows: Cu 60-75%, Zn 15-28%, Al 3-8%, Ni 1.2-3.5%, Sn 0.5-2.0%, rare earth composite agent 0.1-0.8%, B 0.02-0.15%, with the balance being unavoidable metallurgical impurities. The metallographic structure of the alloy matrix is ​​ultrafine equiaxed crystals with an average grain size ≤5μm and a material density ≥99.5%. This invention utilizes a Cu-Zn-Al-Ni-Sn alloy system with a specific ratio of rare earth composite agent and trace amounts of boron, supplemented by ultrafine equiaxed crystal structure control, and then undergoes a composite surface treatment involving plasma nitriding, micro-arc oxidation, and vacuum impregnation with fluorosilane. The resulting anti-scaling and anti-wax alloy material for circulating water systems possesses both stable mechanical and electrical properties and excellent adaptability to the water environment.

The present application belongs to the technical field of zirconia refractory parts, and particularly relates to a densified anti-infiltration zirconia refractory part and a manufacturing method thereof. The present application is prepared by using specific components and dosages of raw materials, and through the steps of pretreatment, mixing, loading forming, sintering and post-treatment. Through gradient structure design, grain boundary regulation and surface defect repair, the prepared zirconia refractory part has high bulk density (≥5.76 g / cm³), low apparent porosity (≤0.36%), high bending strength (≥535 MPa) and excellent resistance to glass liquid infiltration (erosion depth ≤0.2 mm). The gradient structure reduces the interface stress and inhibits the phase transition of ZrO2, the rare earth oxide addition forms a high-viscosity glass phase to block the diffusion path of erosive ions, the molten salt impregnation process improves the material density and durability, and the present application meets the demand of modern industry for high-performance refractory materials.

The present application relates to the technical field of automation plate processing and carrying control, and particularly relates to a plate automatic feeding and discharging control system and a control method thereof, which comprises: a task analysis module, which receives an external production task and calculates the external production task into processing procedure parameters containing plate geometric size, thickness and material density characteristics; and a gravity calculation module, which calculates plate mass distribution based on the processing procedure parameters and outputs gravity matrix data containing target gravity coordinates, suction cup matrix gating strategy and plate specification characteristics. In the present application, through automatic detection and calculation of plate geometric characteristics and density information, on-demand dynamic gating of the suction cup array and adaptive calculation of the vacuum negative pressure threshold are realized, frequent parameter adjustment caused by plate specification changes in the traditional manual teaching mode is avoided, and the automatic adaptation capability of the feeding process to multi-specification plates is improved.

This application relates to the field of vehicle-related technology, and discloses a method, apparatus, equipment, and vehicle for vibration modal analysis of a vehicle spoiler. The Z-axis dimension of the target portion in the X-direction cross-section of the spoiler is smaller than the Z-axis dimensions of its two side portions. The method includes: substituting the free end overhang length, intermediate cavity height, elastic modulus, and material density of the spoiler into a preset simplified estimation formula for calculation, and outputting a first-order vibration modal estimation value; the intermediate cavity height is the Z-direction cross-sectional height at the narrowest cavity of the spoiler; the preset simplified estimation formula satisfies that: the square of the first-order vibration modal estimation value is directly proportional to the product of the elastic modulus and the square of the intermediate cavity height, and inversely proportional to the product of the material density and the fourth power of the free end overhang length; based on the first-order vibration modal estimation value, the vibration modal analysis result of the spoiler is determined. Applying the technical solution of this application can solve the problems of high analysis resource consumption, low efficiency, and high cost currently existing.

This invention discloses a method for preparing silver-tin oxide wire for rivet-type contacts. The technical solution employs a bidirectional hot pressing process, which greatly improves the density of the ingot, resulting in near-fully dense finished wire. This improves the wire's plastic deformation capability and avoids cracking abnormalities caused by poor material density during subsequent rivet manufacturing. A low-hardness pure silver plating layer is formed by spraying onto the ingot surface, directly preventing the high-hardness silver-tin oxide layer from contacting the extrusion liner, extrusion die, extrusion nozzle, drawing die, and annealing fixture during hot extrusion, hot drawing, and annealing processes. This significantly improves the surface quality of the final finished wire, thereby mitigating cracking abnormalities during final rivet manufacturing. The hot spraying process forms a multi-layered composite material in the extruded wire: a low-hardness, easily machinable pure silver coating layer and an internal high-hardness, brittle AgSnO2 structure. This significantly reduces the fracture abnormalities that occur during subsequent hot drawing, improving the material yield.

This invention belongs to the technical field of ultimate bearing capacity assessment for highway slope anchorage engineering. It provides a method for calculating the ultimate pull-out bearing capacity of hollow secondary grouting anchors, including the following steps: S100, obtaining the cross-sectional area lost at the anchor's opening location and the complete cross-sectional area before the opening; defining the damage factor; S200, determining the material density of the anchor and treating it as an equivalent cylinder of uniform wall thickness; S300, establishing the actual stress expression and the total damage factor expression for the ultimate tensile bearing capacity; S400, converting the actual stress expression for the ultimate tensile bearing capacity; S500, deriving the formula for the ratio of the tensile force of the complete anchor to the tensile force of the anchor with the opening. This invention can systematically evaluate the influence of different perforation diameters on the mechanical properties of the anchor, thus facilitating the scientific determination of the anchoring force of hollow secondary grouting anchors and providing support for the formation of standardized and scientific design methods and systems.

The invention discloses a material density monitoring method and device, a medium and a program product, and relates to the technical field of tobacco industry automation and process control. The material density monitoring method comprises the steps that the material temperature and the material density to be corrected of a cut tobacco making pipeline are obtained; calculating a material density compensation value according to the to-be-corrected density of the material, the material temperature of the cut tobacco making pipeline and the temperature compensation related parameters; and when it is determined that the material density is abnormal based on the material density compensation value and the density monitoring threshold value, generating early warning information. According to the technical scheme, the density of the added materials in the tobacco primary processing process can be accurately monitored in real time, material waste is avoided, and the labor cost is greatly saved.

The invention discloses a method and a device for detecting coal blockage of a coal feeder. The detection method comprises the following steps: acquiring a rotating speed real-time value, a current real-time value and a material density detection value of the coal feeder in a current detection period; in combination with a coal feeding rate instruction value received by a coal feeder, calculating normal operation intervals corresponding to the rotating speed real-time value, the current real-time value and the material density detection value respectively based on a dynamic mapping function; and when the rotating speed real-time value, the current real-time value and the material density detection value deviate from the normal operation intervals corresponding to the coal feeding rate instruction value and exceed preset threshold values, it is judged that coal blockage happens to the coal feeder, and a vibration assembly in a raw coal bunker for supplying coal to the coal feeder is started. The rotating speed, the current and the material density of the coal feeder are monitored in real time, the normal operation interval of each parameter under the given coal feeding rate instruction is dynamically calculated in combination with the preset transfer function model, coal blockage is judged and the raw coal bunker rapping device is triggered once the detected value deviation interval exceeds the threshold value, the response time difference is shortened, and the hidden danger of overload tripping of the coal feeder is avoided.

The invention relates to the technical field of metal-based composite material preparation and processing, in particular to a low-interface reaction metal-based composite material preparation method based on powder solid-phase deposition additive, which comprises the following steps: mixing nano or micron reinforced phase particles with metal matrix powder to form composite powder; then, friction heat between the rotating tool and the substrate / deposited layer serves as a unique external heat source, powder solid-phase deposition material adding is conducted under the condition that the temperature is lower than the melting point of the metal matrix, and contact type forced cooling is conducted on a deposition area in the process; the thickness of a composite material interface reaction layer is controllable by cooperatively controlling the rotating speed, the axial pressure, the radius of a shaft shoulder and the moving speed of a tool, and finally the thickness of the composite material interface reaction layer is smaller than or equal to 30 nm, the room-temperature tensile elongation at any position is larger than or equal to 3%, and the material density is larger than or equal to 99%. The density and plasticity index of the material are ensured, and the interface reaction between a reinforced phase and a matrix is reduced.

The utility model belongs to the technical field of ardealite density detection, and particularly relates to an ardealite-based backfill material density detection device which comprises a density detector with a detection probe and a displayer. A connecting mechanism used for connection is arranged between the bottom of the sample cup and the density detector, one end of the detection probe penetrates and extends into the sample cup from bottom to top, the connecting mechanism comprises an external thread connector and an internal thread connector, the internal thread connector is installed at the bottom of the sample cup in a communicated mode, and the internal thread connector is connected with the density detector. According to the phosphogypsum density detection device, the connecting mechanism and the sample cup are additionally arranged, so that the sample cup is integrated on the density detector, at the moment, the detection probe is located in the sample cup, the detection probe is directly soaked in phosphogypsum slurry, and equipment can conveniently carry out density detection on the phosphogypsum density detection device.

The invention relates to the technical field of carbon dioxide capture, in particular to a carbon capture structured filler design and optimization method based on fluid topological optimization, which comprises the following steps: constructing a carbon capture reaction design domain geometric unit, taking a filler basic unit as a core, and setting a fluid inlet and outlet extension section, distinguishing a fluid domain, a solid domain and a transition state between the fluid domain and the solid domain through a continuous material density field, and defining boundary conditions such as a gravitational field matched with an actual absorption tower and adiabatic slippage-free boundary conditions; establishing a polynomial modified topological optimization multi-physics field coupling equation set, introducing a polynomial improved Darcy interpolation function to optimize fluid-solid interface characteristics, and meanwhile, improving numerical stability by combining a filtering method and a projection method; on the basis of the modeling solving platform, a global convergence moving asymptote method is adopted for iterative solving, and a carbon capture filler structure with a fine and complex flow channel is generated; the problems that traditional filler design depends on experience, the design freedom degree is low, and the optimization efficiency is limited can be solved.

The application relates to a design method of a nonlinear similar scale test model of replaceable material, which comprises the following steps: S1, determining an actual ship stiffened plate structure design original model; S2, determining the density rho ps , yield stress sigma yps , elastic modulus E ps and all geometric properties of the stiffened plate original model, and determining a geometric scale factor beta; S3, determining material properties of a test design model through a design criterion I, and calculating geometric properties of the test design model by using a design criterion II; S4, determining the material density rho ps , rho ts and yield stress sigma yps , sigma yts of the stiffened plate original model and the test design model; S5, calculating a density scale factor alpha ρ through a design criterion III; S6, calculating a time scale factor h by combining the density scale factor alpha ρ through a design criterion IV; and S7, predicting the ultimate load and displacement of the original model by using a load and displacement prediction formula. The method is simple and convenient to use, does not need to derive many parameters, and has high engineering application value.

A cutting device for machining mechanical parts, belonging to the field of parts cutting technology, addresses the problem that existing technologies may not effectively handle uneven material density, leading to vibrations during cutting and affecting cutting accuracy. The invention includes a cutting machine body with a drive disk assembly fixedly connected to it. A shearing disk assembly is coaxially arranged with the drive disk assembly and is drively connected to it. A torque sensor is fixedly connected to the cutting machine body. This invention uses the torque sensor to monitor torque fluctuations in the drive disk assembly in real time. Combined with the linkage between the hydraulic cooling drive assembly and the radial movement assembly, the radial position of the shearing disk assembly is automatically adjusted when cutting to different density critical areas, effectively reducing cutting vibrations or tool wear caused by uneven material density, and improving cutting accuracy and stability.

The application discloses a kind of automatic adaptation material density change's vacuum brick type packaging system, it includes quantitative weighing device, film roll bag device, brick type cavity device, PLC system, the weighing hopper of quantitative weighing device is equipped with material level detection switch, material level detection switch detects the material level height value in weighing hopper, the film roll bag device includes the film feeding drum with rotary encoder, the brick type cavity device includes cavity bottom plate, the lower end middle part of cavity bottom plate is connected with the upper end of air bag pneumatic cylinder, the lower end of air bag pneumatic cylinder is connected with cavity base, air bag pneumatic cylinder is connected with electromagnetic reversing valve, the lower end both sides of cavity bottom plate is also equipped with vibrator, the side plate upper end of the brick type cavity device is equipped with material detection switch, the PLC system is coordinated control to all devices in packaging system.The application can also make material surface height, bag mouth height keep consistency when material bulk density changes, improve the production efficiency and sealing property of vacuum sealing process.

This invention relates to a multi-objective interval optimization method for uncertain composite material structures, comprising the following steps: (1) Considering the uncertainty of parameters such as Young's modulus and material density, an interval uncertainty optimization model for composite laminate structures with different material thicknesses under given ply angles and material distributions is established. (2) An interval multi-objective optimization algorithm based on non-probabilistic set theory is used to solve the uncertain composite material structure optimization model. In the solution process, an initial composite material optimization model set is established using the Latin hypercube sampling method; the interval uncertainty analysis calculation of the total mass and first-order vibration frequency of the composite material is performed based on the interval dimension-by-dimensional analysis method; the interval non-dominated sorting is performed based on the dominance probability calculation method and the interval crowding calculation method of non-probabilistic set theory to achieve elite selection of composite material optimization models; iterative optimization is performed until the optimal composite material optimization model set is obtained. This invention will explore a new solution for the structural design optimization of composite materials with uncertainty.

The invention belongs to the technical field of life testing of precision mechanical transmission parts, and discloses a method for predicting the fatigue life of a planetary roller screw pair. The objective of the invention is to solve the problems of high cost, long period and difficulty in testing of part of working conditions in a traditional planetary roller screw pair service life test method, and the method comprises the following steps: establishing a key physical parameter data set of contact stress of a planetary roller screw pair to be tested in service life; comprise a screw pitch diameter, a roller pitch diameter, a nut pitch diameter, a screw pitch, a thread number, a thread angle, a roller profile arc radius, a roller thread length, a nut thread length, a roller number, a material density, an elastic modulus, a Poisson's ratio, a rotating speed and an axial load, and then constructing a scaling model based on a key physical parameter data set in combination with a dimensional analysis method and a second similarity theorem; therefore, the constructed scale model can truly reflect the stress distribution state of the prototype, and an equivalent life test is carried out based on the scale model, so that the fatigue life of the prototype is more truly transmitted.

The invention relates to the technical field of composite material manufacturing, in particular to a preparation method and application of a PEEK composite material. The preparation method of the PEEK composite material comprises the following steps: carrying out high-temperature oxidation and silane coupling agent impregnation pretreatment on short carbon fibers, and meanwhile, carrying out dry premixing on polyimide microspheres and nano silicon dioxide; feeding and stirring step by step according to the proportion to form a premix with uniformly distributed components; carbon fibers are supplemented in a lateral feeding mode, and melt blending and granulation are completed in cooperation with precise temperature control; and finally, drying the composite material particles, and carrying out injection molding or compression molding to obtain a finished product. The prepared PEEK composite material has excellent comprehensive performance: the material density is extremely low, and the specific strength is excellent; a multi-scale enhanced network is constructed in the composite material, high rigidity and high toughness are both considered, and the composite material has excellent impact resistance; the composite material has a self-lubricating property and outstanding wear resistance and fatigue resistance.

The application discloses a truss size optimization design method based on minimum cut set correlation. The method comprises the following steps: establishing a balance matrix of the truss structure, using a zero space method to obtain a minimum cut set database of failure modes; constructing a joint failure model of the database, and then obtaining a failure probability under the consistency of the cut set edge probability space and establishing a reliability constraint optimization model; inputting the material density and length of each rod of the truss structure into the model, and outputting the optimized total weight and the cross-sectional area of each rod after processing, so as to perform size optimization design of the truss structure. The application solves the problems of failure mode combination explosion, insufficient correlation modeling and missing reliability constraints in the reliability analysis of the truss structure, can significantly reduce the complexity of the truss size optimization design, improve the structure failure probability evaluation precision, realize efficient and accurate system reliability evaluation and lightweight design, and has good computability and engineering applicability while ensuring the precision.

The present invention belongs to the field of industrial control technology and discloses a material conveying control method, electronic equipment, and material conveying system. The material conveying control method includes: calculating a first speed of a servo motor according to a given material discharge speed, the volume of a material distribution trough in a material distribution device, the number of material distribution troughs in the material distribution device, and the material density; during material conveying, measuring a first weight of a metering silo in real time, calculating an actual material discharge weight and an actual material discharge speed according to the first weight and a second weight at a preset historical moment; calculating a theoretical material discharge weight based on a given material discharge speed and a time difference between the current moment and a preset historical moment; when the difference between the actual material discharge weight and the theoretical material discharge weight exceeds a preset range, determining a second speed of the servo motor according to the actual material discharge speed, the given material discharge speed, and the actual speed of the servo motor until material conveying is completed. This method can improve conveying accuracy and achieve quantitative material delivery.

The invention discloses a composite material raft frame integral forming method and a mold in the technical field of ship structure design. The composite material raft frame integral forming method comprises the steps of prepreg blanking, mold pretreatment, layered gradual paving, hot-pressing curing and post-treatment. And through modular prefabricated body construction and a differentiated layering strategy, integral forming of continuous transition of fibers is achieved, and the interface failure risk of a traditional glue joint structure is eliminated. The mold adopts a detachable silica gel steel core design and is combined with a vacuum-assisted cold pressing process, so that the compactness and the dimensional precision of the material are ensured. By adopting the synergistic effect of a partition differentiation laying strategy and a bionic reinforcing framework, a discrete structure originally depending on glue joint is converted into an integral bearing frame with fibers naturally transited, the geometric mutation risk at the joint of the rib plate and the lower plate is eliminated, and through a closed grid structure formed by extending the laying layer through the prepreg, the strength of the rib plate and the lower plate is improved. And a load transmission path is converted from shear dependence of an adhesive layer to fiber-dominated axial continuous transmission.