373332 results about "Manufacturing engineering" patented technology

The invention discloses a process parameter tracing and quality collaborative management system for ceramic production, and relates to the technical field of ceramic production, the management system comprises a step of obtaining a plurality of process data and quality data in a ceramic production process, and each group of process data comprises a raw material ratio, a forming pressure, a firing temperature and a firing time. According to the process parameter tracing and quality collaborative management system for ceramic production, a specific process parameter deviation link can be quickly positioned by reversely tracing to a raw material source from a finished product quality problem and combining batch association identifiers and data records of all links; the quality problem solving efficiency is improved, and batch loss caused by traceability lag is avoided; besides, a process quality association relationship constructed by the module is established, a quality detection result is closely associated with process parameters, and multi-dimensional analysis is performed, so that a quality problem can be fed back to process parameter adjustment in time, and targeted measures can be taken according to an analysis result.

The invention relates to the technical field of anode carbon block roasting, and discloses an energy-saving control system of an anode carbon block roasting furnace, which comprises a data acquisition module, an energy-saving analysis module, a digital twin modeling module, a control execution module and a feedback optimization module, when the combustion state of the roasting furnace is monitored in real time, a multi-layer monitoring framework is constructed to dynamically track the change trend of temperature, flue gas oxygen content and pressure parameters, continuous comparison is performed based on a preset energy-saving reference interval, and when the parameters deviate from an optimization interval, a digital twinborn model is immediately triggered to intervene in analysis, so that the real-time monitoring of the combustion state of the roasting furnace is realized. Prejudgment identification of potential risks of combustion efficiency reduction and abnormal heat loss is achieved, hidden energy loss caused by imbalance of the air-fuel ratio is avoided, the non-planned shutdown frequency of equipment is reduced, and the continuous energy efficiency management and control stability of the production process is guaranteed.

The invention relates to the technical field of aluminum alloy processing, in particular to an aluminum alloy component multi-source heterogeneous production data acquisition system and method. The method comprises the following steps that multi-source heterogeneous sensing equipment is dynamically deployed along a drill bit machining track of a core machining unit to extract original signals, then multi-source data streams are gathered according to aluminum alloy working procedure features, and finally a component-level original heterogeneous data set is generated; carrying out feature enhancement processing according to the component-level original data set, and carrying out band element data matrix construction to obtain a band element process instance record; therefore, by constructing the cross-scale fused aluminum alloy full-process digital twin, the problem that a traditional manufacturing process lacks whole-process, multi-dimensional and reversible traceability data support is solved, and the precision of aluminum alloy component quality analysis, the pertinence of process optimization and the automation level of data reporting are improved.

The invention relates to the technical field of process optimization, and discloses a hot work die steel heat treatment process optimization method and system.The method comprises the steps that hot work die steel samples are collected under multiple sets of different process conditions, and a performance basic data set is obtained; constructing a multi-target coordination optimization model based on the performance basic data set; performing phase change detection on the hot work die steel sample to obtain phase change monitoring data; performing prediction in combination with the phase change monitoring data to obtain a performance prediction result; and solving an optimal process parameter combination based on the performance prediction result and the multi-target coordinated optimization model, and realizing simultaneous optimization and coordinated balance of a plurality of performance indexes in the heat treatment process of the hot work die steel by making full use of associated information among different performance indexes.

The invention discloses a real-time monitoring and feedback control system for enamel electrostatic powder coating, and relates to the technical field of industrial enamel coating. The system comprises a data acquisition and monitoring module, a feedback control decision module, an execution mechanism control module, a spraying path planning and adjusting module, a parameter optimization and adaptive adjustment module and a multi-target cooperative adjustment strategy module. The system builds a standardized state vector and recognizes abnormity by collecting spraying enamel electrostatic powder state parameters, deposition error signals and environment interference data, and closed-loop control and dynamic adjustment of spray gun electrode voltage, powder supply amount and spray gun path parameters are achieved. Intelligent algorithms such as particle swarm optimization are introduced to optimize a controller and process parameters, the coating uniformity and the deposition efficiency are automatically balanced in combination with a multi-target collaborative strategy, and stable spraying quality is achieved under complex working conditions. The method has the advantages of self-learning, self-adaption and expandability, and the intelligent level and the production performance of the enamel electrostatic powder spraying process are remarkably improved.

The invention discloses an automatic welding device for a rotary alloy furnace tube, and belongs to the technical field of arc welding equipment.The automatic welding device for the rotary alloy furnace tube comprises a base and a U-shaped bin located at the top of the base, and the two ends of the interior of the U-shaped bin are jointly provided with a centering clamping mechanism used for clamping the outer side of the furnace tube; a driving mechanism for providing power for the centering clamping mechanism to clamp the furnace tube is arranged on the outer side of the centering clamping mechanism, and a welding mechanism is arranged on the inner top of the U-shaped bin. A local sealing design is adopted for the inflation mechanism, the annular air bag is attached to the inner wall of the furnace tube after being inflated, an independent cavity communicated with the outside only through a welding seam gap is formed near the welding seam, the protection requirement can be met only by filling the local space with argon, the whole furnace tube or a large-range external space does not need to be filled, and compared with traditional overall argon filling, the argon filling efficiency is greatly improved. The argon consumption is greatly reduced, the industrial gas purchase cost is remarkably reduced, and the production cost investment is reduced.

The invention discloses a metal grinding machine tool grinding wheel wear compensation type intelligent control system, and relates to the technical field of mechanical manufacturing automation, and the system comprises a contact type reference detection module which is used for obtaining the initial contour and reference wear loss of a grinding wheel through discrete point measurement in a non-machining state; the multi-parameter non-contact real-time detection module is used for collecting acoustic emission, vibration and spindle current signals in the grinding process through three types of sensors; the grinding environment sensing module collects the temperature of a grinding area and the cutting fluid concentration; the intelligent control unit receives reference data and an environment signal, performs deep learning on a wear loss prediction model after multi-source data fusion, performs periodic reference calibration, analyzes the dynamic wear loss, and synchronously transmits the data to the data storage and tracing module; the executing mechanism adjusts grinding wheel feed amount compensation according to the dynamic abrasion loss; and the data storage and tracing module stores full-process data in real time. According to the system, high-precision and real-time wear compensation is achieved, the machining precision and consistency are improved, and high-end manufacturing requirements are met.

The invention discloses an AI-based intelligent factory dynamic production scheduling optimization method and system, and belongs to the technical field of factory dynamic production scheduling, and the method comprises the following steps: obtaining and integrating the working states of various types of equipment in a factory, the stock position states of different materials, and the manual data; the production order state, the process route requirement, the plan and the completion time of each process and the delivery date requirement of the customer are determined; generating an initial production scheduling plan through an AI optimization algorithm in combination with supply chain material data, factory storage space, equipment switching cost, production rules, each order process dependency relationship and a production target; according to the method, the initial scheduling plan is generated by acquiring and integrating multiple types of production data, the dynamic events are monitored, multiple schemes are generated through evaluation, the optimal scheme is selected through economic model evaluation, and production refinement, dynamic response and benefit optimization are achieved.

The double-sided film tearing equipment for the screen display glass comprises a lower film tearing system and an upper film tearing system. On one hand, on the basis of multi-motion cooperation of the clamping jaw and the roller, the corner of the to-be-torn film is gradually torn off by keeping the rolling position and the stripping position aligned under blowing of airflow, the probability that the adhesive tape is separated from the to-be-torn film or the corner of the to-be-torn film is torn off is greatly reduced, and the success rate that the to-be-torn film forms the tearing angle is effectively increased; meanwhile, diagonal film tearing is formed based on relative movement of the glass and the clamping jaws, the risk that the protective film is torn or falls off is reduced, and more labor-saving and efficient film tearing is achieved; on the other hand, a torn film is clamped based on a film stripping chuck and cooperates with airflow blowing to separate an adhesive self-clamping jaw so as to improve the film stripping success rate, and in combination with butt joint of upper and lower film stripping system self-carrying tables which are reversely arranged, the direction of the film to be torn is switched in a turnover-free manner, so that the glass pollution or collision risk is remarkably reduced, the product yield is improved, and the production cost is reduced. Moreover, stable and continuous implementation of double-sided film tearing of multiple pieces of glass is ensured, and the film tearing efficiency is greatly improved.

The invention discloses grinding equipment with a surface self-adaption function for civil aircraft maintenance, and relates to the technical field of grinding equipment, the grinding equipment comprises a grinding mechanism, a self-adaption mechanism and a positioning mechanism, the grinding mechanism is fixedly connected with the self-adaption mechanism, and the self-adaption mechanism is fixedly connected with the positioning mechanism. The grinding mechanism is used for driving a grinding disc to work, and flexible grinding of the surfaces of different areas can be achieved. The self-adaptive mechanism is composed of a self-adaptive assembly, an expanding and contracting assembly and a rotating assembly, the grinding disc has the flexible adjusting capacity when making contact with the surface of a workpiece, the expanding and contracting assembly achieves expanding and contracting, the rotating assembly drives an expanding and contracting block to revolve, and therefore the adaptability of the grinding disc on the complex curved surface is guaranteed. And the positioning mechanism is used for positioning parts needing to be maintained, so that the purposes of adapting to complex curved surfaces, improving the polishing precision and efficiency, avoiding the problem of difficult attachment and ensuring the maintenance quality and the operation safety are achieved.

The invention relates to the technical field of industrial automatic welding and discloses an intelligent control method and system for industrial robot welding, and the method comprises the steps that after a welding task is started, an initial welding process parameter model is called based on the current workpiece specification, and a first welding control instruction sequence is generated; according to the first welding control instruction sequence, a welding gun is controlled to execute welding operation, and multi-source sensing data flow in the welding process is synchronously collected; carrying out fusion feature extraction on the real-time sensing data stream to generate a current welding situation feature vector, when situation deviation exists between the current welding situation feature vector and the reference welding situation feature vector, obtaining a self-adaptive welding process parameter model through online incremental learning, and obtaining a self-adaptive welding process parameter model on the basis of the self-adaptive welding process parameter model. And generating an optimized welding control instruction sequence and issuing the optimized welding control instruction sequence to a robot controller and a welding gun so as to execute self-adaptive welding operation. The welding quality stability and the production efficiency can be improved, and the equipment maintenance cost is reduced.

The application discloses a cover plate assembly and a scrubber. The cover plate assembly is arranged on a cleaning head shell of the scrubber. The cover plate assembly comprises a cover plate and a base. The cover plate is arranged on the garbage box opening of the cleaning head shell and surrounds a first accommodating cavity of a cleaning roller arranged in the cleaning head shell. The base comprises a left side plate, a right side plate, a front side plate, a rear side plate and a guide plate arranged on a rectangular frame. The left side plate, the right side plate, the front side plate and the rear side plate extend downward from the cover plate and surround the rectangular frame. The guide plate surrounds a second accommodating cavity. The first accommodating cavity and the second accommodating cavity are connected with each other to form an accommodating space for accommodating cleaning components. The cover plate assembly is separated from the cleaning head shell directly, and the efficiency of disassembling and assembling internal components of the cleaning head shell is improved. The scrubber with the cover plate assembly is easier to maintain.

The invention discloses a material weighing and conveying control method and system, and relates to the technical field of self-adaptive control systems. The method comprises the following steps: setting a visual positioning identifier in an unloading area, and configuring an identification code for a material; establishing an information management database, associating the identification codes of the materials with material attributes, and generating a material association attribute table; collecting an identification code of the material, and calling a material association attribute table based on the identification code; and based on the information management database, obtaining a production line state table of each production line and a warehouse state table of the current warehouse, generating a candidate transportation list, determining a comprehensive priority score of each candidate transportation target point, and selecting the candidate transportation target point with the highest score as a final transportation target point. Compared with the prior art in which fixed rules are used for scheduling, the material transportation targets can be dynamically distributed according to real-time production requirements, manual intervention is avoided, the logistics efficiency is improved, high-requirement materials are preferentially distributed, and production interruption caused by material shortage is prevented.

The invention discloses an anchor rod body continuous forming process and equipment. The anchor rod body continuous forming process comprises the steps that a base material is heated and subjected to perforation treatment, and a hollow pipe blank is obtained; primary annealing treatment is conducted on the hollow pipe blank, and primary straightening is conducted on the annealed hollow pipe blank; the hollow pipe blank subjected to primary straightening is subjected to acid pickling so as to remove oxide skin on the surface of the hollow pipe blank; a finishing mill is adopted for conducting multi-pass finish rolling forming on the hollow pipe blank obtained after acid pickling, and the rolled anchor rod is obtained; the rolled anchor rod is subjected to secondary annealing treatment, the annealed rolled anchor rod is subjected to secondary straightening, and the temperature of secondary annealing is lower than that of primary annealing; the rolled anchor rod subjected to secondary straightening is subjected to fixed-length cutting; and performing cold rib rolling and thread rolling processing on the rolled anchor rod subjected to fixed-length cutting. According to the embodiment, on the premise that energy consumption is controlled, cold-state precision forming is achieved, and good comprehensive mechanical performance is obtained.

The invention discloses a welding fixture for machining a turbine shell, which belongs to the technical field of turbocharger machining and comprises a turntable and adjustable welding clamping mechanisms uniformly distributed in the circumferential direction of the turntable, the adjustable welding clamping mechanism comprises a fixed rack, a movable machine base, an inner supporting type clamping assembly for clamping the turbine shell, an adjustable limiting assembly for positioning the end face of an air inlet of the turbine shell and an adjustable shifting assembly for pushing the turbine shell to rotate. According to the welding clamp for machining the turbine shell, automatic and rapid positioning of the turbine shell can be achieved so that a rocker arm can be welded conveniently, and the welding clamp can adapt to turbine shells of different models.

The invention relates to the technical field of die-casting optimization, and discloses a die-casting process parameter optimization method and system based on digital twinning, and the method comprises the steps: arranging a sensor to collect the operation parameters of die-casting equipment and the quality data of a die casting in real time, and forming multi-source die-casting production data; according to multi-source die-casting production data, a multi-physical field simulation model is established, and a digital twinborn model is constructed. And comparing the virtual prediction result with the actually measured quality data, and constructing a virtual-real difference compensation network to correct the parameters of the digital twin model. And performing a multi-target reinforcement learning method based on the compensated digital twin model to generate optimal die-casting process parameters. And applying the optimal die-casting process parameters to die-casting equipment for verification, and updating the virtual-real difference compensation network according to a verification result. Intelligent optimization and continuous self-evolution of the die-casting process parameters are achieved, and the casting forming precision, the energy efficiency utilization rate and the production stability are improved.

Various embodiments described herein relate to management of industrial process optimization related to batch operations. In this regard, an optimization request to optimize an industrial process that produces an industrial process product is received. In response to the optimization request, product spent characteristics for one or more blending components of a batch operation subprocess are determined. Also in response to the optimization request, demand data for one or more feed products associated with the one or more blending components is updated based on the product spent characteristics and inventory data indicative of an inventory level for the one or more feed products. Furthermore, a control signal configured based on the demand data is transmitted to a controller configured for optimization associated with the industrial process that produces the industrial process product.

The invention discloses a double-PHA barrier system for a paper-based container and a paperboard as well as a preparation method and application of the double-PHA barrier system, and belongs to the technical field of paper-based material surface engineering and green packaging. The system sequentially comprises a paper base material, a water-based PHA dispersion hole sealing layer and a PHA extrusion compact layer from inside to outside. According to the invention, the micron-sized PHA dispersoid without cell debris is utilized, so that an efficient hole sealing effect which is difficult to achieve by a high coating amount in a traditional process can be achieved by only needing an extremely low coating amount, and the pinhole defect of an extrusion layer is eliminated from the source. And in cooperation with the modified PHA extrusion layer with the specific crystallinity, the problem of micro-cracking of a single coating during edge rolling forming is cooperatively solved. According to the system, excellent barrier performance is achieved through a thinner bio-based structure, and meanwhile the system has a wide heat sealing window and excellent repulp recycling performance. Compared with the prior art, on the premise that high performance is guaranteed, the consumption amount of packaging materials and the environmental burden are remarkably reduced.

The invention relates to a multi-cell control method for hydrogen production alkaline electrolytic cells based on nonlinear model predictive control, which belongs to the technical field of hydrogen production and comprises the following steps of: performing data acquisition on key positions of a hydrogen production alkaline electrolytic cell system in real time; based on the dynamically determined priority of each electrolytic cell, dynamic load distribution of each electrolytic cell is carried out, and a multi-dimensional cooperative regulation strategy is implemented to obtain a hydrogen yield target value of each electrolytic cell; constructing a nonlinear model comprising an electrolytic reaction model, a heat transfer model and an inter-tank coupling model, and performing parameter identification and verification; and designing a nonlinear model predictive control algorithm, performing discretization processing on the nonlinear model, introducing Kalman filtering to process the uncertainty of the model, taking a corresponding hydrogen yield target value reached by each electrolytic cell on the premise of meeting the constraint as a final control target, constructing an optimized target function, and performing solving to obtain an optimal control scheme. Compared with the prior art, the control precision and the system stability can be effectively improved.

The invention discloses a dynamic monitoring and analyzing method for a thermal management component molten pool based on image recognition, and relates to the technical field of laser powder bed melting additive manufacturing. The method comprises the following steps: continuously capturing an original thermal management component molten pool image and temperature field distribution data during laser powder bed melting additive manufacturing; and optimizing the original thermal management component molten pool image to generate an optimized thermal management component molten pool image. Molten pool images and temperature field data are captured in real time through a high-frame-rate synchronous camera and an infrared sensor, defect types are recognized online in combination with a lightweight classification model, classification results are fed back to a control system to dynamically adjust laser power or scanning speed, interlayer defect accumulation can be inhibited in time, and the defect quality is improved. The defect diffusion problem caused by response lag of a traditional off-line analysis method is avoided, and the forming precision and the process stability of the heat management component are remarkably improved.

The invention relates to the technical field of data processing, and discloses a food printing machine operation state monitoring method and system. The method comprises the following steps: carrying out hierarchical data acquisition on the food printing machine, and monitoring process parameters such as temperature, pressure and speed and material characteristics; establishing a parameter correlation matrix, and obtaining working condition characteristics; adjusting parameters such as nozzle temperature and ink pressure in a linkage manner to form an optimization instruction; evaluating the process parameter coupling degree through fault diagnosis, and generating an equipment state report; and the printing quality is evaluated in real time, a parameter fingerprint database is established, and closed-loop monitoring is realized. According to the method, correlation analysis and linkage adjustment of the process parameters of the food printing machine are achieved, and the stability and accuracy of the printing process are improved.

This invention discloses a process for controlling the shape of A514GrQ extra-thick plates for offshore platforms. It uses 800-1000mm thick steel ingots, and after removing and cleaning the ingot risers, ensures uniform thickness of the ingot body, laying the foundation for obtaining steel plates with excellent flatness. The heating process is optimized to ensure uniform heating of the ingot head, middle, and tail, facilitating uniform deformation during rolling. Homogenized rolling is employed to reduce cooling water usage, limit the reduction per pass, and control the final rolling temperature, avoiding uneven internal stress and shape rebound in the steel plate. The final product is a 180-210mm thick steel plate with a maximum flatness ≤8mm and a lateral flatness ≤4mm within a length of 10000mm and a width of 2400mm, significantly reducing subsequent leveling tasks.

The invention discloses a refined disassembly and recovery production line for retired lithium batteries. Comprising an automatic battery feeding station, a battery pretreatment station, a battery discharging station, an electrolyte collecting station, a battery shell disassembling station, a roll core film removing station, a pole piece separating station, a pole piece conveying station, a crushing feeding station, a crushing station, a crushing conveying station, a first-stage separating station, a high-temperature drying station, a drying discharging station and a second-stage separating station. The automatic battery feeding station is connected with the battery pretreatment station, and the battery pretreatment station is connected with the battery discharging station. The refined disassembly and recovery production line for the retired lithium battery is provided with deep discharge equipment, the safety problem of electrified crushing or manual disassembly is avoided, full-process automation is achieved, the recovery efficiency is high, refined disassembly and recovery are achieved, an aluminum shell, a positive plate, a negative plate and a diaphragm are separated, the recovery rate and purity of valuable metal are improved, the production line process is short, and the production line cost is low. And no secondary pollution is generated.

The invention relates to the field of steel pipe welding, and discloses a steel pipe welding device which comprises a workbench, a middle groove is formed in the middle of the upper face of the workbench, multi-directional limiting structures are arranged on the left side and the right side of the upper face of the workbench correspondingly, and U-shaped plates are fastened to the left side and the right side of the upper face of the workbench through bolts correspondingly; a pressing structure is arranged on the U-shaped plate, a rotating structure is arranged above the middle of the interior of the middle groove, abutting limiting structures are arranged on the two sides of the interior of the middle groove, and a collecting frame is arranged on the lower portion of the interior of the workbench. The steel pipes can be pressed on the multi-directional limiting structure, so that the steel pipes in different shapes can be directly limited and pressed, the operation is more labor-saving and convenient, the working cost is low, and the working efficiency is higher.

The invention discloses an ECU assembling and detecting production line for an automobile and a process of the ECU assembling and detecting production line. The ECU assembling and detecting production line comprises a circuit board feeding mechanism, an implanting mechanism in butt joint with the circuit board feeding mechanism, a detecting mechanism in butt joint with the implanting mechanism and a classifying and packaging mechanism in butt joint with the detecting mechanism. By means of the mode, circuit board feeding, injection molding embedding, injection molding material taking, detecting and classified packaging are integrated, the automation degree is high, secondary positioning and accurate positioning of the circuit board can be achieved, the horizontal position and angle of the circuit board can be automatically adjusted, and the injection mold can be aligned in a self-adaptive mode; each performance of a product can be synchronously detected, and code printing and identification can be carried out without repeatedly carrying and positioning the product and classifying and collecting defective products and non-defective products in different mold cavities, so that subsequent searching for reasons of the defective products is facilitated, and later maintenance of equipment is facilitated.

The embodiment of the invention provides a turning and milling combined machining deformation control method and system for a special-shaped part, and is used for the technical field of numerical control machining. The turning and milling combined machining deformation control method for the special-shaped part comprises the steps that structural feature analysis and process association marking are conducted on design data of the special-shaped part to generate a feature association data set, and clamping and process planning are conducted according to a machining constraint database and the feature association data set to generate initial turning and milling combined machining process data; cutting parameter multi-objective optimization solution is carried out on the initial turning-milling combined machining process data to obtain a turning-milling cutting parameter set, and multi-axis linkage analysis and instruction collaborative planning are carried out on the turning-milling cutting parameter set according to the equipment operation feature set to generate a combined machining control instruction set. According to the method, through part key feature recognition and risk marking, combined machining control instructions are generated after layered digital twinning verification in combination with process multi-objective optimization, and the one-time qualified rate of special-shaped part machining and turn-milling combined machining process stability are improved.

The invention discloses a seamless steel tube production line real-time monitoring system, which relates to the technical field of real-time monitoring, and comprises the following steps: collecting multi-source heterogeneous state data of a multi-channel sensor, synchronously caching the multi-source heterogeneous state data in an edge monitoring node, and generating a standardized state data sequence; key energy feature dimensions are extracted according to the standardized state data sequence, energy mapping indexes are constructed, and a dynamic soft threshold boundary of monitoring parameters is generated based on historical production samples; and comparing the dynamic soft threshold boundary with a real-time observation value at a time point corresponding to the dynamic soft threshold boundary in the standardized state data sequence, extracting a preliminary anomaly mark, and screening out misjudgment anomalies by using a pseudo anomaly shielding mechanism to generate a credible anomaly layer. According to the method, a prediction driving method is adopted, and an optimized production parameter adjustment instruction is generated according to a dynamic risk grade grading interface and a standardized state data sequence, so that parameter adjustment strategy reasoning taking a risk evolution trend as a core drive is realized.

The invention relates to the technical field of cement prefabricated part production equipment, in particular to a cement prefabricated plate production device and method. Comprising a rack, and the rack is provided with a steel bar laying mechanism, a pouring and distributing mechanism, a precise vibrating mechanism, a forming and pressing mechanism and a conveying mechanism; the steel bar laying mechanism comprises a laying support, a moving assembly and a positioning assembly. The pouring and distributing mechanism comprises a storage bin and a grading and distributing assembly; the precise vibrating mechanism comprises a vibrating frame and a vibrating unit; the forming press-fit mechanism comprises a press-fit support, a press-fit driving assembly and a press-fit plate. According to the invention, the adjustable design of steel bar spacing is matched with the positioning assembly, so that the spacing of steel bars of different specifications is accurately adjusted, the steel bars are quickly placed at preset positions, and then the distribution amount of each area is adjusted according to the distribution of the steel bars through the grading distribution assembly to ensure sufficient slurry in the corresponding cement area; and the precise vibrating mechanism combines preset steel bar parameters to achieve differential vibrating, and the vibrating strength is enhanced in a steel bar dense area to guarantee sufficient slurry filling.

1. Name of the designed product: flange. 2. Use of the designed product: used in hydraulic pump or motor of construction machinery, etc. 3. Design points of the designed product: in shape. 4. Picture or photo showing the design points: design 1, perspective view 1. 5. Design 1 is specified as the basic design.

The invention relates to the technical field of numerical control lathe machining, in particular to a numerical control lathe cutting parameter optimization method and system. The method comprises the following steps: receiving a processing task for batch workpieces, dividing processing batches in the processing task, and determining a detection processing step; in the detection machining step, cutting process signals and machine tool machining parameters of a machine tool are collected and detected in real time; based on the cutting process signals and the corresponding machine tool machining parameters, an expected stable signal interval is dynamically established, and transient impact events are recognized and quantified; performing statistics and normalization processing on the transient impact events to generate risk assessment information; sharing risk assessment information with other machine tools in a machining batch range; and according to the risk assessment information, cutting parameters of the subsequent machining steps are adjusted in advance, and after the pre-adjustment is completed, machining of the batch of workpieces is executed. The problem that production efficiency and stability are reduced due to the fact that information of an existing numerical control lathe is not shared in a multi-machine-tool cooperative machining scene is solved.