13127results about "Presses" patented technology

The invention relates to the technical field of intelligent control, in particular to a digital control method and system applied to on-line operation of multiple punching machines, and aims to acquire historical data of a production line, acquire operation state data of the punching machines in real time, realize product appearance defect detection through a YOLOv7 model in combination with product appearance images and quality inspection parameters, and improve product quality. Generating an offset quality inspection parameter in combination with a quality inspection standard; and generating a process abnormality positioning result by using the offset quality inspection parameters and the appearance defect detection result. And fusing the abnormal process positioning result with the operation state data of the punching machine to form multi-mode comprehensive operation characteristic data which is used for identifying the abnormal process. And after an abnormal process is detected, analyzing an abnormal propagation path through a dynamic working condition adaptive graph neural network model, extracting current working condition features, performing similarity matching with historical data, and extracting optimal historical reference parameters. And generating a production process adjustment parameter by dynamically correcting the historical reference parameter. And the adaptive capacity and the flexible response capacity of the production line to complex working conditions are improved.

The invention discloses a temperature correction method and system for a hot press, and particularly relates to the technical field of hot press temperature control, and the method comprises the steps: obtaining and preprocessing multi-dimensional operation data, including a temperature time sequence, pressure setting and material attributes; constructing a coupling model based on the multilayer neural network, and predicting temperature distribution of different process stages; performing sensor drift compensation, analyzing temperature deviation characteristics, judging whether sensor drift or material thermal diffusion abnormity exists or not, and generating a local distortion mark; determining a compensation mode according to the distortion mark, and starting a local compensation mode or a global balance control mode if the distortion is recognized as over-limit distortion; and comparing with the output of the coupling model, verifying the temperature correction effect, and if the deviation is reduced and the distortion mark is converged, outputting a stable temperature correction result. The problems of temperature distortion and sensor drift are effectively solved, and the long-term precision and stability of the hot press under complex working conditions are improved.

The invention relates to the technical field of equipment fault diagnosis, in particular to an extruder equipment fault recognition method and system based on artificial intelligence, and the method comprises the following steps: collecting key fault features of an extruder in real time based on a multi-mode sensor network, optimizing the signal quality through data preprocessing and feature decoupling, and obtaining a fault recognition result; and the generalization ability of the model is improved by using cross-device feature mapping and transfer learning, a hybrid neural network is combined, a physical constraint layer is embedded on the basis of a data driving layer, a feature incidence matrix conforming to the dynamic characteristics of the extruder is constructed, and a fault prediction model can be adjusted in real time through a dynamic weight distribution mechanism and dual-target loss optimization, so that the fault prediction efficiency is improved. The method adapts to the change of the operation state of the equipment, and realizes the real-time detection, graded early warning and precise operation and maintenance of faults in combination with an intelligent early warning mechanism and a multi-target optimization decision. According to the invention, the operation stability and maintenance efficiency of the extruder equipment are obviously improved, and the method is suitable for equipment health management in the field of intelligent manufacturing.

The invention relates to the technical field of press monitoring, in particular to a digital twinning-based three-dimensional monitoring system for a precision servo press, which comprises a physical layer sensing module for acquiring real-time operating parameters, environment variables and workpiece processing data of the press; the dynamic twin construction module constructs a total-factor digital twin, and simulates a force-heat-deformation coupling effect by using finite element analysis and a multi-body dynamics algorithm based on physical attributes and process parameters; the intelligent analysis center identifies a potential fault mode of the press machine and locates an abnormal source through multi-physics field simulation data in combination with an improved CNN-LSTM model; the three-dimensional visual interaction unit constructs an interactive immersive three-dimensional virtual scene, renders a running state and a processing process in real time, and generates a maintenance strategy; and the self-adaptive regulation and control unit predicts the residual life of the key component and dynamically adjusts parameters according to a maintenance strategy and real-time monitoring data. Therefore, the problems of single monitoring dimension, disjunction of maintenance strategies and the like in the prior art are solved.

The invention provides a control processing method and system based on gold foil processing, and the method comprises the steps: collecting real-time processing parameters of a target material in gold foil processing equipment, generating an initial processing parameter set, determining a first control model matched with the target material according to a hot pressing strength gradient sequence in the initial processing parameter set, and carrying out the control processing of the target material according to the first control model. According to an extension rate distribution curve in the initial machining parameter set, a second control model matched with the target material is determined, and based on real-time thickness deviation data and surface uniformity fluctuation data in the gold foil machining process, a target model in the first control model or the second control model is activated, and generating a dynamic adjustment instruction through the target model, inputting the dynamic adjustment instruction to an execution mechanism of the gold foil processing equipment, and correcting the pressure gradient of the hot pressing device or the rate distribution of the extension device. According to the method, the thickness distribution uniformity and the surface morphology stability of the gold foil in a complex processing scene can be improved, and the process quality and consistency of a gold foil finished product are improved.

The invention discloses a force and position monitoring and analyzing system applied to a press machine, and relates to the technical field of force and position monitoring of the press machine, the force and position monitoring and analyzing system comprises a data acquisition module which is provided with a force sensor and a displacement sensor, and force and displacement data of the press machine in the punching process are monitored and acquired in real time through the force sensor and the displacement sensor. According to the force and position monitoring and analyzing system applied to the press machine, force and displacement data are accurately collected in real time through the data collecting module, the optimal action parameters of the press machine can be calculated, and the punching action of the press machine is accurately controlled; in this way, the key parameters in the stamping process can accurately reach the preset target, the product quality problem caused by parameter deviation is effectively avoided, and the quality stability and consistency of products are greatly improved; the system can quickly adjust action parameters of the press machine according to real-time monitoring and analysis results, so that the stamping process is always kept in an optimal state, time waste caused by links such as debugging and reworking is reduced, and the production efficiency is remarkably improved.

The invention discloses a real-time pressure compensation method for a multi-axis linkage precision press, which relates to the technical field of control of a press, and comprises the following steps of: when a coefficient is detected to exceed a warning threshold value, executing abnormal identification and generating abnormal axis information; a short-stroke reciprocating test is carried out on an abnormal shaft under a safe working condition, force-displacement and force-speed curve characteristics are recorded through high-frequency sampling, and friction model parameters are updated by utilizing a self-learning fitting algorithm. And calculating a life degradation index by comparing a historical parameter sequence with the updated friction model parameters, and formulating a pre-maintenance strategy including a replacement period, spare part requirements and priorities. If the pre-maintenance strategy is not executed in time and it is monitored that the friction increasing coefficient continues to rise or the compensation amount is close to the upper limit, real-time compensation is applied, and the speed-limiting and load-limiting or emergency shutdown process is triggered. Through a multi-level safety control strategy, sudden friction abnormity can be accurately captured, and reliability and maintainability are remarkably improved.

The invention relates to a dynamic analysis optimization method for a high-speed stamping hybrid mechanism with a lubricating gap and considering an impact load. The dynamic analysis optimization method comprises the following steps: S1, defining structural parameters and design parameters; s2, establishing a lubrication gap motion model, a contact force model and an oil film bearing force model; s3, introducing a flexible beam unit model; s4, the relative motion state of the bearing and the shaft at the revolute pair element is judged; s5, establishing a kinetic equation; s6, solving the kinetic equation; s7, optimizing and improving the structural parameters of the mechanism; and S8, circulating the above process, and carrying out iterative solution until the kinetic analysis and parameter optimization are completed. The established rigid-flexible coupling kinetic equation containing the lubricating gap can more accurately predict the mechanism dynamic response characteristics of the high-speed stamping hybrid mechanism when the high-speed stamping hybrid mechanism is subjected to the impact load in actual work and operation, and the modeling method is suitable for dynamic response characteristic analysis and optimization design of high-speed stamping mechanisms of other configurations. The method has the advantages of wide applicability and the like.

The invention discloses a stamping production process self-adaptive control method, a stamping production line and a program product, and relates to the technical field of stamping machining. The method comprises the steps that stamping production data collected by a data collection unit are received, and the stamping production data comprise one or more of drawing inflow, die surface temperature, lubricating oil amount, closing height, blank holder force, forming force and material performance parameters; determining a quality performance prediction condition of the product based on the stamping production data; determining to-be-optimized data from the stamping production data according to the quality performance prediction condition; stamping process optimization parameters are determined according to the to-be-optimized data; and the stamping process optimization parameters are sent to a stamping controller of the stamping equipment, so that the stamping controller adjusts the stamping action of the stamping equipment according to the stamping process optimization parameters. Intelligent and automatic management of the stamping production line can be achieved, the production efficiency is improved, and the defective rate is reduced.

An intelligent fecal solid-liquid separator for a cattle mattress bedding material production system and an operation method thereof. The cutting assembly is located directly above the first cutting groove. By setting a cutting assembly, the further extrusion is achieved to realize solid-liquid separation of separated solid waste. Further, by utilizing the cooperation between the pressing plate and the spring, it ensures the extrusion pressure of the waste spiral extrusion, thereby improving the accuracy of solid-liquid separation.

Disclosed are embodiments of a system and method for baling recyclable materials and managing the baling of recyclable materials. The apparatus for baling includes a baler for compressing and baling recyclable materials, a scale, label printer, and a processor. Certain embodiments further comprise at least one digital camera, RFID dispenser, and an internet connection that allows the processor to transmit collected data to a remote database for further analysis.The disclosed method for baling recyclable materials comprising the steps of baling materials; weighing the bale automatically using a digital scale operably connected to the processor; recording the weight of the bale automatically; and printing a label which displays the recorded weight of the bale. Additionally, the method may comprise inputting information and / or automatically recording data, and / or automatically transmitting the data associated with a bale to a remote database.

The invention relates to the technical field of stamping metal processing, in particular to an integral forming stamping process for a new energy automobile battery contact spring, which comprises the following steps: collecting parameters in real time; abnormal judgment is performed to form a result; determining an abnormal event type; judging a processing risk grade; the blanking force and the forming force are adjusted; adjusting a tension threshold value and a synchronization degree threshold value; and the preset feeding speed is adjusted. Through multi-parameter real-time collection and coupling analysis, a closed-loop control system based on abnormal recognition, risk assessment and parameter self-adaptive adjustment is established, the precision and stability of contact spring punch forming are remarkably improved, the blanking force and the forming force are intelligently adjusted in a linkage mode when the risk level is high, so that the punching quality is optimized, and the production efficiency is improved. And the problem of composite disturbance instability caused by incapability of adapting to dynamic change of material elasticity and processing speed due to excessive dependence on a fixed adjustment mode is effectively solved.

The invention discloses a self-adaptive optimization control system and method for rapeseed oil squeezing, and the method comprises the steps: obtaining rapeseed oil squeezing historical data, constructing a rapeseed oil squeezing reference library and a rapeseed oil squeezing prediction model, matching the rapeseed oil squeezing reference library to obtain an initial operation technology of an oil press, and carrying out the rapeseed oil squeezing to obtain an actual oil output index; obtaining a first predicted oil output index, obtaining an oil press bearing wear rate and an oil press state index according to the oil press operation current and the oil press operation state, correcting the first predicted oil output index to obtain a second predicted oil output index, and calculating an oil output index deviation; and selecting a process optimization strategy according to the oil outlet index deviation and the oil press bearing wear rate, and obtaining the optimized operation process of the oil press according to the process optimization strategy. The method not only can improve the efficiency and accuracy of rapeseed oil squeezing optimization control, but also has good interpretability, and can be directly applied to a rapeseed oil squeezing self-adaptive optimization control system.

The present invention discloses an intelligent high-rise multi-board automatic hot press, which is characterized in that: it includes a frame, on which there are successively arranged an inlet board storage device, a rotary push board robot, a hot pressing device, an outlet board storage device and a control system from the inlet board end to the outlet board end. The hot pressing device includes at least one hot press platen base plate, a lifting hot pressing device, a lower workbench, at least three unit hot press plates with different lengths and equal widths, and a heating device. The rotary push board robot is controlled by the control system. The upper end surface of the hot press platen base plate is a stepped support surface. The unit hot press plates are successively stacked upward at intervals and are separably seated on different surfaces of the stepped support surface of the hot press platen base plate, so as to form a hot press space between adjacent unit hot press plates. The present invention has the advantages of high automation degree, no need for manual handling, high processing quality, high working efficiency, fast inlet and outlet board speeds, high hot pressing working efficiency, fast output speed, etc.

The invention discloses a control method and system of a servo press, and relates to the field of press control, a force displacement curve is obtained in real time from a current punching period, a key feature vector of the force displacement curve is extracted, the key feature vector is compared with an ideal golden feature vector, and a multi-dimensional deviation vector is obtained. Particularly, a deviation decoupling method based on morphological analysis is introduced, and the total deviation can be accurately decomposed into a thermal drift compensation amount caused by the thermal effect of equipment and a material characteristic compensation coefficient caused by plate performance fluctuation by analyzing translation and zooming differences of a current curve and a gold curve in form. Therefore, independent and accurate compensation can be carried out for a physical source, the problems of information aliasing and compensation failure caused by the fact that disturbance sources cannot be distinguished in the prior art are effectively solved, intelligent and feed-forward type cooperative compensation for the next stamping period is achieved, and long-term stability and high precision of the production process are ensured.

The invention discloses a press machine die changing device, which belongs to the technical field of die changing equipment, and comprises a press machine body and a power mechanism positioned on the front surface of the press machine body, a die changing trolley is arranged between the press machine body and the power mechanism, and an auxiliary support frame is rotatably mounted on the front surface of the press machine body; an electric telescopic rod is rotationally installed between the bottom of the auxiliary supporting frame and the outer wall of the front face of the press body, a bearing plate is installed on the inner side of the press body, a mold body is installed on the top of the bearing plate, a plurality of pressing plates slidably installed on the top of the bearing plate are arranged on the outer side of the mold body, and hooks are fixedly connected to the front face of the bearing plate. According to the mold changing device, the mold changing trolley is arranged, the multiple mold changing stations are arranged on the top of the mold changing trolley, before mold changing, the standby bearing plate is installed on one mold changing station, the mold body is fixed to the bearing plate through the pressing plate, then machine halt mold changing is conducted, the machine halt duration can be greatly shortened, and the mold changing efficiency is improved.

The invention discloses an extruder hydraulic automatic control method based on machine learning, and relates to the technical field of machine learning. The method comprises the following steps: collecting training data to establish a damping coefficient prediction model and a friction coefficient prediction model; hydraulic pressure data, hydraulic flow data and component movement data are collected; establishing a pressure-load control model, a flow-speed control model and a displacement-speed control model; collecting an initial pressure value and real-time operation characteristic data; acquiring a real-time friction coefficient, a real-time damping coefficient, a real-time output pressure value, a real-time output flow value, a real-time displacement change value and a real-time speed change value; calculating a real-time pressure compensation value, a real-time flow compensation value, a real-time displacement adjustment value and a real-time speed adjustment value; and pressure compensation and displacement and speed regulation and control are carried out. According to the method, multiple machine learning models are established, and hydraulic pressure is compensated and comprehensively regulated, so that accurate, efficient and intelligent control of the hydraulic system is realized.

The invention discloses a supercharged hot press temperature correction method and system, and relates to the technical field of data encryption, and the method comprises the steps: collecting temperature data and pressure data of the surface of a hot pressboard in a hot press through a high-precision sensor, carrying out the preprocessing, and carrying out the correction of the temperature of the hot pressboard based on the preprocessed temperature and pressure data; the method comprises the following steps: establishing a coupling relation model between temperature and pressure, determining an area needing to be corrected, performing local heating or local cooling adjustment on the area needing to be corrected, monitoring the influence of pressure change on temperature in real time in the area correction process, and dynamically adjusting the heating power. A complete and efficient supercharged hot press temperature correction method is formed through high-precision data acquisition, temperature-pressure coupling modeling, accurate correction area recognition and dynamic power adjustment, all the steps supplement one another, accurate control over hot press plate temperature distribution is jointly achieved, the temperature control precision, the response speed and the energy efficiency are remarkably improved, and the method is suitable for large-scale popularization and application. And a reliable technical guarantee is provided for improving the processing quality of the hot press.

The invention provides automatic straw collection underground incineration field returning equipment, and belongs to the technical field of agricultural machinery equipment, and the automatic straw collection underground incineration field returning equipment comprises a moving mechanism, a collection mechanism, a processing mechanism and a field returning mechanism. The moving mechanism comprises a vehicle body and a moving assembly; the collecting mechanism comprises a conveying and lifting assembly and a collecting shovel, the conveying and lifting assembly is arranged at the front end of the vehicle body and inclines upwards from front to back, and the collecting shovel is arranged at the front end of the conveying and lifting assembly; the machining mechanism comprises a cleaning and pressing assembly, a smashing assembly and a fuel mixing assembly which are sequentially arranged in the middle of the vehicle body from front to back. The field returning mechanism comprises a ditching assembly and a backfilling assembly which are sequentially arranged at the bottom of the vehicle body from front to back, the ditching assembly is located on the front side of the fuel mixing assembly, and the backfilling assembly is located on the rear side of the fuel mixing assembly. According to the automatic straw collecting underground incineration field returning equipment, the problems that open-air incineration control is difficult, fire disasters are prone to being formed, and open-air incineration pollution is large are solved.

The invention discloses a stamping die control method and system for watchcase machining, and the method comprises the steps: judging whether a gap between a stamping die and a watchcase cavity meets a preset condition or not, and calculating a curvature variation coefficient of a boundary region to generate a first compensation instruction when the gap meets the preset condition; an actually-measured blanking force-displacement curve during machining is obtained, the actually-measured blanking force-displacement curve is compared with a standard curve to recognize a stamping sub-stroke section with the blanking force deviation rate exceeding a first threshold value, and a resistance deviation signal is generated; a cooling system is triggered to operate in a frequency reduction mode, and surface smoothness data of the watchcase workpiece are detected; when the abnormal index of the burr feature vector exceeds a second threshold value, a mold fault area is positioned, and a second compensation instruction is generated; and the first compensation instruction and the second compensation instruction are fed back to a piezoelectric ceramic actuator of the watchcase stamping die, and pressure distribution of the watchcase stamping die is adjusted in real time. According to the invention, multi-dimensional compensation instructions can be integrated to adjust pressure distribution in real time, and the process reliability of watchcase processing is improved by dynamically and adaptively controlling die processing.

The invention provides a method for optimizing stamping process parameters of a thin-wall rectangular shell of a new energy battery, and relates to the technical field of metal plate stamping forming. The method systematically explores a process parameter space through an orthogonal test design, and accurately quantifies a parameter coupling effect in combination with a dual-target regression model to optimize the stamping process parameters of the thin-wall rectangular shell of the new energy battery. An NSGA-I algorithm is utilized to generate a Pareto optimal solution set giving consideration to the maximum / minimum molding thinning rate, and the limitation of traditional single-target optimization is broken through; furthermore, material fluctuation and equipment deviation are compensated in real time through PI D dynamic control, closed-loop control of modeling-optimization-feedback is formed, the consistency of the forming quality of the thin-wall shell is remarkably improved, the defect rate is reduced, meanwhile, the process debugging period is shortened, the adaptability of a production line to complex working conditions is enhanced, and the production efficiency is improved. And reliable technical support is provided for efficient and precise stamping of the new energy battery shell.

Proposed is a food waste disposal apparatus for automatically discharging food waste by compressing (naturally dewatering), cutting, and drying food waste. More specifically, proposed is a food waste disposal apparatus having a corrugated part provided at an input hole so that same can be bent in all directions, and thus construction is facilitated, and having, at a predetermined distance away from a drying drum that generates high heat, an exhaust fan for discharging internal air of a drying and discharging part, so as to minimize breakdown of the exhaust fan caused by high heat, and enable vibration and noise of the exhaust fan to be prevented.

The invention relates to the technical field of metal pressing, in particular to a precise mold manufacturing method for gearbox parts, which comprises the following steps: automatically feeding at an initial feeding speed and detecting raw materials; feeding is conducted at the initial pushing frequency, and the raw materials are conveyed into a first station, a second station and a third station; the pressure borne by the raw materials in any station is calculated, the machining working condition is judged, and machining parameters are adjusted according to the machining working condition; according to the number of the stations not meeting the working conditions, whether the material of the to-be-machined raw material changes or not is judged, the deformation coefficient of the raw material is calculated, and the initial pressure value of a stamping head is correspondingly adjusted; according to the adjustment condition of the machining parameters of the stamping head, whether the adjusted machining efficiency meets the machining requirement or not is judged, the stamping duration difference value between the procedures is calculated, and the stamping period, the circulation period and the pushing frequency are correspondingly adjusted; and the workpieces are conveyed to the discharging opening to be discharged. The precision of the gearbox part manufacturing process is improved by conducting multi-station automatic machining on raw materials.

The invention relates to a metal powder cake pressing machine which comprises a main pressing cylinder installation base and a secondary pressing cylinder installation base, a stand column is installed between the main pressing cylinder installation base and the secondary pressing cylinder installation base, a material box assembly is installed on the stand column, a box cover is rotatably installed on the material box assembly, one side of the box cover is rotatably connected with a cover cylinder, the cover cylinder is connected with the material box assembly, and the cover cylinder is connected with the material box assembly. A main pressure cylinder and a secondary pressure cylinder are respectively mounted on the main pressure cylinder mounting seat and the secondary pressure cylinder mounting seat, a quick cylinder assembly is mounted on the main pressure cylinder, the quick cylinder assembly is sleeved on the upright post, a cake outlet cylinder is connected to the side edge of the secondary pressure cylinder, and the cake outlet cylinder is connected with a material box assembly. When metal powder is compressed, the box cover can be driven by the cover cylinder to block an opening in the upper end of the material box, powder splashing and dust raising are reduced, and the safety of the operation process is improved.

The invention relates to the technical field of stamping forming, in particular to a stamping die system and a control method thereof. The mold system comprises at least one laser displacement sensor, a plurality of self-adjusting counterbalances and a controller. The laser displacement sensor is installed on the upper die or the blank holder and used for collecting position information of a specific part of a material collecting line of a formed part in each stroke. And the automatic adjusting balance block is arranged on the blank holder. The controller is connected with the laser displacement sensor, the automatic adjusting balance block and the pressing machine. And the controller is used for controlling the automatic adjusting balance block to perform lifting adjustment and / or adjusting the blank holder force of the pressing machine acting on the blank holder based on the position information of the material receiving line from the laser distance measuring sensor. According to the invention, self-adaptive adjustment aiming at the receiving wire can be realized, the receiving wire is monitored, the change rule of the drawing forming receiving wire is disclosed, production parameters are adjusted before unqualified products are produced, and the stability of the production process is guaranteed.

The invention discloses a spinning machine cluster pressure cooperative control method based on multi-source evidence fusion, and the method comprises the steps: obtaining the real-time state parameters of each spinning machine, and calculating the derived state parameters of each spinning machine and a connection region thereof through the real-time state parameters; forming an abnormal evidence according to the abnormal state parameters of each spinning machine, and fusing the abnormal evidences of all the spinning machines through a DS evidence theory to obtain a global abnormal confidence coefficient; dynamically generating a cluster security envelope and a dynamic security threshold of the real-time state parameters according to the global abnormal confidence and the state parameters of each section; and real-time state judgment is carried out through the dynamic safety threshold and the global abnormal confidence coefficient, and the spinning machine cluster is controlled to work.

The invention discloses an intelligent temperature control system of an aluminum alloy plate punch forming die, which relates to the field of aluminum alloy plate processing and comprises a temperature acquisition module, a data transmission module, an analysis processing module, a control decision module and a heating and cooling execution module. Various sensors and self-adaptive layout are used for temperature acquisition, so that data accuracy is guaranteed; data transmission is combined with multiple technologies and block chain authentication to ensure stability; analyzing and processing introduced quantum neural network and causal analysis mining features; the control decision is combined with multiple algorithms and multiple parameters are considered, so that intelligent decision making is realized; a novel device and a phase-change material are adopted for heating and cooling, and the temperature is accurately controlled by combining an advanced control strategy. According to the invention, accurate temperature acquisition, multi-technology guarantee data transmission and quantum calculation are realized to improve the analysis decision ability, and accurate temperature control is realized by the novel device and the control strategy; the die state can be monitored, faults can be diagnosed, stamping quality and efficiency are improved, the service life of the die is prolonged, and cost is reduced.

The invention relates to the technical field of powder machines, in particular to an intelligent control method and system for a powder forming machine. The method comprises the steps that powder material parameters and mold parameters are obtained, the powder material parameters comprise particle size distribution, yield strength and a friction coefficient, and the mold parameters comprise mold geometric parameters; based on a discrete element method, particle dynamic analysis is conducted on the powder material parameters, particle mechanical motion characteristic data are generated, and the particle mechanical motion characteristic data comprise particle position data, speed data, contact force data and force chain distribution data constructed by the contact force data; based on a finite element method, structural mechanics analysis is conducted on the mold parameters, mold macromechanics response data are generated, and the mold macromechanics response data comprise stress distribution data, strain distribution data and displacement distribution data; and according to the particle mechanical motion characteristic data and the mold macromechanical response data, generating a powder pressing path control instruction of the mold.

A ceramic ball material according to an embodiment includes a spherical portion; and a band-shaped portion formed over a circumference of a surface of the spherical portion. The ceramic ball material has a ratio R1 / R2 of 0.3 or more and less than 1.0, where R1 denotes a surface roughness of an end portion of the band-shaped portion; and R2 denotes a surface roughness of a center portion of the band-shaped portion.

The present disclosure provides a device and a method for controllable forging of a forming flow line of a complex-shaped component. The device includes a frame, a shaping unit, a cushioning unit, and a cleaning unit, and the frame is used to mount and fix the shaping unit, the cushioning unit, and the cleaning unit; the shaping unit is used to improve a shaping capacity of processed parts; the cushioning unit is used to reduce a vibration in a metal shaping process to avoid an impact on the shaping of the metal; the cleaning unit is used to clean up a surface of a mold after shaping; when the metal is put into the mold, the metal is extruded and shaped through the shaping unit, and at the same time, the cushioning unit is used to offset the vibration generated by the shaping unit during the shaping process.