13 results about "Complex materials" patented technology

The application belongs to the technical field of additive manufacturing, and particularly relates to an intelligent 3D printing system, which comprises a rack and a controller, the inside of the rack is provided with a laser printing head and a powder laying mechanism, the powder laying mechanism lays powder, and then the laser printing head melts the powder by laser to complete the action of cladding. The intelligent 3D printing system can utilize forward mapping to output the trained network in seconds or even milliseconds, greatly accelerating the real-time simulation effect of design iteration. Meanwhile, the neural network can replace time-consuming finite element calculation in the optimization process of genetic algorithm, and quickly find the optimal design parameters, thereby achieving the effect of optimization design. On the other hand, the backward mapping is used to quickly and accurately identify the complex material model parameters, which is several times faster than the traditional trial-and-error method, and the input or physical characteristics of the system can be back calculated according to the dynamic response of the structure.

This utility model relates to the field of material sorting technology and provides a multi-directional adjustable material sorting device, including a base. The side wall of the base has several first arc-shaped grooves. The base has an internal cavity containing a motor. The motor's output shaft passes through the top surface of the base and is connected to a turntable. One side of the turntable has a second arc-shaped groove. The top surface of the turntable has a material bin, and the bottom surface of the material bin is connected to a discharge pipe that extends into the interior of the second arc-shaped groove. This solution uses a motor to drive the turntable, moving the second arc-shaped groove to different positions of the first arc-shaped grooves, thereby changing the direction of material movement. This meets diverse and complex material sorting needs, avoiding the limitation of existing technologies that only allow for single-direction or fixed-angle material sorting, and greatly improving the flexibility of material sorting.

The application discloses a multi-category material sorting method and device based on AI machine vision and hyperspectrum, relates to the field of renewable resource recycling, and aims to solve the problem of low accuracy in complex working conditions such as same color and different materials when only visible light images are used for sorting materials in related technologies. The method comprises the following steps: obtaining visible light image data and hyperspectrum image data of the material to be sorted; identifying the material according to the visible light image data to obtain a first material category and a category confidence; when the category confidence is low or the first material category belongs to a preset easily confused category set, hyperspectrum analysis is enabled, and a second material category of the material is determined according to corresponding spectral feature data of the material as a final identification result; otherwise, the first material category is directly taken as an identification result, and finally, a sorting instruction is generated. Through intelligent cooperation of AI machine vision and hyperspectrum technology, simple materials can be quickly identified, and complex materials can be accurately distinguished, so that high-precision and high-throughput material sorting are realized.

The utility model discloses a kind of ladder type cutters, it is related to gantry shearing technical field.The utility model includes fixed cutter seat and the dynamic cutter seat of slidingly being arranged on gantry, linearly several step parts are equipped in the rear side of dynamic cutter seat, the cross section of step part is right triangle structure, the height of dynamic cutter seat bottom surface is sequentially increased from left to right, sliding edge is equipped in the both sides of dynamic cutter seat, both sides in gantry are equipped with slide rail, two slide rails are staggered distribution in front and back on gantry, dynamic cutter seat is slid up and down in gantry by sliding edge and slide rail, one side surface of step part is parallel with the width direction of gantry.The utility model is presented ladder type structure after being assembled to gantry shear, realizes the partition of cutting point, can reduce the load of hydraulic system, improve service life, simultaneously realized segmented shearing can improve shearing efficiency and effect, and it is suitable for the shearing of complex material and large quantities of material.

The application discloses a kind of composite plate tensile test performance evaluation method, system and device, and composite plate includes base material, complex material and the adhesive layer between base material and complex material, it is characterized in that, composite plate tensile strength appointed coefficient k is introduced, according to the predetermined use of the composite plate to be evaluated determines the value of multiple composite plate tensile strength appointed coefficient k that satisfies evaluation requirement.The application gives a kind of more accurate evaluation composite plate tensile performance method, system and device, realize composite plate tensile strength theoretical value and sample test result evaluation classification are unified.Under the condition of composite plate global composite ratio, obtain continuous tensile strength theoretical value curve when taking certain appointed coefficient k, so that composite plate tensile performance grade division can be more accurate and continuous.According to the reasonable composite plate tensile strength grade division of use environment, reduce composite plate unqualified rate, improve economic benefit.

This application provides a high-elasticity vibrating screening system with variable frequency, variable amplitude, and variable trajectory, relating to the field of screening technology. The system adopts a three-section screen box structure, including a first screening section, a second screening section, and a third screening section. The first screening section is driven by a first excitation unit with a linear vibration trajectory. Its main function is to quickly spread and push the material, achieving preliminary screening and ensuring smooth forward movement. The second screening section is driven by a second excitation unit with a variable elliptical vibration trajectory. The second excitation unit can be adjusted to switch and adjust elliptical vibration trajectories with different parameters based on the looseness and activity of the material on the screen. This greatly adapts to the screening requirements of complex materials such as sticky, wet, fine-grained, high-moisture, and easily agglomerated materials, significantly improving screening efficiency and material throughput. The third screening section is driven by a third excitation unit with a circular vibration trajectory. Its main function is to improve the final screening accuracy, overcome clogging, and promote screening.

The present application relates to the technical field of automatic cutting equipment control, and discloses a cutting control method and system for an automatic cutting bubble press, the method comprising collecting resistance data and material surface signals by a sensor array, determining material hardness and toughness through sensor fusion and neural network after synchronous denoising processing, calculating depth adjustment increment in combination with cutter parameters when exceeding the limit, optimizing cutting speed in combination with thermal and cutting force parameters through synchronous simulation, forming a comprehensive scheme, feeding back evaluation accuracy, optimizing physical properties when not meeting the standard, and iteratively determining final parameters to realize stable cutting. The method can adapt to material characteristic fluctuations in real time, suppress thermal and cutting force abnormalities, improve cutting stability and accuracy, reduce waste rate and cutter wear, and ensure consistency and production efficiency of complex material processing.

The utility model discloses a can make up high low difference switching over cylinder device, its characterized by: the cylinder device includes structure frame, cylinder unit, spacing sheet metal, inlet guide sheet metal, inclined guide sheet metal, symmetrical baffle and poking assembly, through symmetrical baffle and cooperate each component, can realize the simultaneous conveying or independent conveying of different materials on the same equipment, the utilization of cylinder is improved to the maximum, this design makes the equipment can cope with complex material conveying demand, improves the flexibility and efficiency of production line, gives full play to the multifunctionality and flexibility of equipment, simultaneously, through installing sensor on spacing sheet metal, and combined use with the cooling fan, can realize the intelligent operation control and temperature management of equipment, and the equipment can keep stable working temperature while continuously and efficiently operating, avoids the damage of temperature fluctuation to equipment or material.

This invention provides an adaptive speed control method for a circulating material pump based on multi-parameter closed-loop feedback, comprising: collecting operating status parameters of the material pump; identifying the operating condition of the material pump and loading a corresponding BP neural network model, speed reference range, and normal threshold values ​​of operating parameters according to the identification results; inputting the operating status parameters into the loaded model to obtain a target speed prediction value; performing inverse normalization calculation on the target speed prediction value to obtain the actual target speed; applying speed boundary constraints to the actual target speed to obtain the final target speed; adjusting the material pump speed according to the final target speed and judging the stable operating conditions; and performing secondary speed fine-tuning on material pumps that do not meet the stable operating conditions. The beneficial effects of this invention are: solving the problems of poor stability and high energy consumption in existing constant speed control or manual adjustment modes, and meeting the needs of complex material circulation and conveying in industrial production.

This utility model discloses a cork storage box with impact protection, relating to the field of impact protection technology. It includes a cork storage box body, with a cork shell fixedly connected to the outer surface of the body, and a connecting frame fixedly connected to the middle of the inner wall of the cork shell. This impact-resistant cork storage box uses cork as a natural material; its honeycomb structure inherently possesses elasticity and energy absorption, achieving basic impact protection without the need for additional complex materials. The impact force of the impact protection device acts on the mounting plate, pushing the telescopic rod inward. The telescopic rod drives the buffer connecting arms on both sides to rotate along the positioning groove. This process converts the longitudinal impact force into the lateral thrust of the buffer connecting arms, achieving force dispersion. The combined design of the damping rod and spring not only absorbs impact energy but also slows down the spring's rebound speed through damping, preventing the elastic structure from rebounding due to rapid reset.

This application provides a method, apparatus, device, medium, and product for generating the molecular composition of complex materials based on macroscopic properties, applicable to the fields of computer-aided chemistry or molecular modeling. The method includes: acquiring measured macroscopic property data and measured molecular composition data of complex materials; constructing a mechanistic model of the complex materials based on the measured macroscopic property data and measured molecular composition data; generating a virtual dataset containing multiple sets of macroscopic property data and molecular composition data based on the mechanistic model; training an initial diffusion model based on the virtual dataset to obtain a target diffusion model; and inputting the macroscopic property data to be processed into the target diffusion model to obtain the target molecular composition data corresponding to the macroscopic property data to be processed. This achieves the technical effect of improving the efficiency of generating molecular composition information of complex materials.

The present application relates to the technical field of prompt gamma neutron activation analysis and non-destructive testing of industrial materials, and particularly relates to a multi-element gamma spectrum quantitative inversion algorithm based on polynomial forward and Newton iteration. The technical scheme comprises the following steps: obtaining a gamma spectrum obtained by neutron activation measurement, and extracting a plurality of gamma detection characteristic values corresponding to a plurality of elements; based on the plurality of gamma detection characteristic values and the true mass fraction of the corresponding sample elements, a polynomial forward model is established, and based on the gamma detection characteristic values and the true mass fraction of the elements, a direct polynomial inverse model is established. The present application effectively improves the accuracy of multi-element gamma spectrum quantitative inversion, enhances the robustness and convergence stability of the algorithm under complex materials, improves the generalization ability of the model to different matrix environments, and has good engineering practicability.

This invention belongs to the field of additive manufacturing technology, specifically an intelligent 3D printing system, including a frame and a controller. The frame houses a laser print head and a powder bed mechanism. The powder bed mechanism lays the powder, which is then melted by the laser print head to complete the cladding process. This intelligent 3D printing system, on the one hand, fully utilizes forward mapping to output results from a trained network in seconds or even milliseconds, greatly accelerating the real-time simulation effect of design iteration. Simultaneously, it can replace time-consuming finite element calculations with neural networks in optimization processes such as genetic algorithms, quickly finding optimal design parameters and effectively achieving optimized design results. On the other hand, it utilizes backward mapping to quickly and accurately identify complex material model parameters, several times faster than traditional trial-and-error methods, and can infer the system's input or physical characteristics based on the structure's dynamic response.