54 results about "Manufacturing capability" patented technology

The invention discloses an electric arc dynamic self-adaptive control method and sensing system based on multi-modal sensing, and relates to the technical field of electric arc control. A multi-modal sensor integrated on a welding gun is used for synchronously collecting an electric arc form image, a molten pool area image, a molten pool oscillation sound signal and current and voltage multi-dimensional data; the collected data are preprocessed, and real-time parameters in the welding process are extracted; calculating and outputting an optimal welding control parameter in real time by combining a depth Q model and taking the welding quality as an optimization target; the control parameters are transmitted to a welding actuator, real-time adjustment of the welding process is completed, and real-time control over the welding arc is achieved; the control method can be used for enhancing the real-time self-adaption of a welding control system to complex welding components and the flexible manufacturing capacity of replacing a product line; the technical problems that in an existing automatic electric arc welding control method, electric arc welding information collection is single, control response is delayed, the flexible degree is low, and welding feature extraction errors are large are solved.

An exemplary system and method are disclosed for a shape similarity search via a trained AI model configured on both part shape and material properties, among others, to allow for searching against a database of parts to identify a set of candidate like models or parts. In some embodiments, the trained AI model can learn the capabilities of a manufacturing facilities to which the trained AI model can be interrogated to identify a candidate manufacturer for a given part having both part shape and material properties. The operation can be performed via federated learning for improved privacy.

The present invention relates to the field of generator stator core production and manufacturing. Disclosed are an automatic stacking system and method for stator cores. The system comprises a stacking positioning platform, stacking robots, feeding mechanisms, sheet separating mechanisms, centering platforms, iron sheet tray stations, and ventilation groove plate tray stations. In the system, the separating, centering and stacking processes of silicon steel sheets are carried out in parallel, shortening the stacking cycle time of stator cores to a great extent, thereby improving the overall stacking efficiency; and the system can implement stacking tasks of multi-model stator cores by changing a positioning device of the stacking positioning platform, adjusting the positions of fixtures and suction cups and changing the stacking process, thereby improving the processing and manufacturing capabilities of the stacking system.

The invention relates to a product customization and configuration method and system based on a product model and a knowledge base. The method comprises the following steps: (a) associating a product structure model and a product knowledge base of a target product series; (b) constructing a product configuration model integrating a product structure model, a product knowledge graph and a configuration rule; (c) customer demand parameters are received, and a customized configuration scheme is generated through the product configuration model; (d) automatically generating a design material list and a process material list based on the customized configuration scheme; and (e) executing cost accounting according to the generated design bill of material and the process bill of material and outputting quotation data. The method has the advantages that the requirement of a user for customization can be met, the requirement for configuration can also be met, data such as technologies and processes can be automatically configured for the user, the data can be synchronously updated to related software systems such as PLM and PDM, and the intelligent design and intelligent manufacturing capacity of an enterprise is greatly improved.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

The invention discloses a multi-mode flexible four-corner welding machine and method for improving the weld fillet strength, and belongs to the technical field of profile manufacturing. The welding machine comprises a machine body, a cross beam of the machine body is adjustable along an X axis, machine heads on the cross beam slide along a Y axis, and four groups of machine heads clamp four corners of a profile. The machine head integrates a pressing assembly, a heating assembly, a broaching assembly, a seam pressing assembly and the like, the pressing assembly achieves profile fixing and position adjusting through a plurality of guide rail pairs, the broaching assembly carries out precise broaching on a welding seam, and the seam pressing assembly prevents molten chips from overflowing and carries out surface molding on the profile. The method comprises the steps of debugging, charging, positioning and limiting, heating, welding seam width adjustment, welding and discharging. Welding and welding seam finishing are integrated, and the secondary machining defect is avoided; multiple groups of adjustable mechanisms and detachable accessories are matched with various profiles; the surface of the color profile can be protected, the welding quality is enhanced, and the flexible manufacturing capacity of a production line is improved.

The invention discloses a process method for machining multiple key grooves in the outer circle of a main shaft through alignment of a milling die and belongs to the technical field of hydro-generator manufacturing. The problems of low machining precision and long production period in the prior art are solved. According to the technical key points, alignment and error adjustment are carried out on a milling die, geometric accuracy is detected in an auxiliary mode through a laser tracker, two symmetrical key grooves in the 180-degree horizontal direction are machined through rough milling, semi-finish milling and finish milling correspondingly, a main shaft is rotated by 60 degrees anticlockwise after machining is completed, alignment is carried out again, the error is adjusted, and the rotation alignment process is repeated twice in total. The position precision and the size precision of the milling groove meet the design requirements, and the problem that main shaft outer circle multi-key-groove alignment machining cannot be achieved due to the limitation of the equipment manufacturing capacity is solved; the alignment time is saved, the machining efficiency is improved, and the production cycle is shortened; machining tasks can be completed as many as possible in one-time clamping, frequent tool changing, repositioning and other operations caused by equipment stroke limitation are avoided, and the machining process is more continuous and efficient.

This utility model discloses a simple manual bending test device, belonging to the field of bending test technology. It includes two locking sleeves, with a hinge welded between them. Each locking sleeve has an insert sleeve inside. In this utility model, by using the insert sleeves and clamping cover plates, test samples of different diameters can be clamped. By changing the bending mandrel diameter component and using the two locking sleeves in conjunction, the position of the bending mandrel diameter component is controlled. By turning two wrenches, the two locking sleeves swing closer together, bending the test sample inside the insert sleeve. The bent portion of the test sample is obstructed by the bending mandrel diameter component, causing the test sample to fit tightly against the outer periphery of the bending mandrel diameter component, bending the test sample to the required diameter. By using bending mandrel diameter components of different diameters, it is possible to manufacture single and double-numbered samples, as well as large and small diameter samples, achieving a wider range of bending test sample manufacturing capabilities.

The application discloses a design method of a continuous wind tunnel distributed compressor system overall scheme, relates to the field of continuous wind tunnel design, and first obtains a mass flow resistance loss relation curve and converts the mass flow resistance loss relation curve into a converted flow total pressure ratio relation curve of a compressor system; maximum operation power is determined, and lowest isentropic efficiency requirements of each working condition are calculated. A lowest efficiency working condition point is selected as a first-stage compressor design constraint point, serial compressors are designed one by one, and working condition coverage ranges are evaluated; if all working conditions are not covered, a serial compressor is added, iteration is completed through overlapping working condition point selection, load distribution and efficiency calculation, and all working conditions are covered. Finally, whether parallel replacement is needed at each serial position is judged according to processing and manufacturing capacity, parallel numbers are determined, a serial-parallel distributed compressor system overall scheme is output, and the problem that the distributed compressor system lacks a systematic design method is solved, thereby providing scientific guidance for continuous wind tunnel high-speed, wide-speed-range and fine development.

The invention discloses a quantitative analysis system for realizing intelligent manufacturing capability maturity evaluation, which comprises the following steps of: data acquisition: collecting real-time data by using a sensor and an equipment interface; data processing: in the Node-RED, using a function node to process and convert the collected data according with the parameter specification of ISO 22400-2-2014 Index System, and using GraphQL to receive factory model data collected by the Node-RED; kPI API configuration of a factory model is realized in a customized manner, KPI API parameters are called by a Plant Simulation to execute a KPI panel and simulation, and evaluation is carried out according to a Plant Simulation result and a gap is analyzed; a set of qualitative analysis system based on a factory model and surrounding production management performance indicators is designed by taking an intelligent manufacturing capability maturity three-level evaluation standard as a starting point, so that the system integration difficulty is simplified, the evaluation time is saved, the evaluation accuracy is improved, and the beneficial technical effect of effectively guaranteeing the evaluation correctness is achieved.

This application discloses an inductor structure and its fabrication method, equipment, and dielectric. The inductor structure includes an inductor winding, a magnet, and a metal frame. The magnet encloses the inductor winding to form a cuboid inductor body. The metal frame covers the top and / or bottom of the cuboid inductor body and connects to the inductor winding terminals that are extended and bent to the top and / or bottom of the cuboid inductor body. By adding a metal frame to the inductor surface, an inductor structure with electrical interconnect design is achieved, which is compatible with mature molding inductor manufacturing methods and semiconductor processes. Advanced system-in-package (SIIP) requires higher dimensional accuracy than general inductor manufacturing capabilities, limiting the flexibility of package design. The electrode reconfiguration method provided by this invention can solve this accuracy mismatch and improve design flexibility.

The invention discloses a filling type high-throughput powder spreading device for laser powder bed melting additive manufacturing, belongs to the technical field of powder spreading, and aims at solving the problems that only one layer can be printed at a time, and the manufacturing capacity of a high-throughput LPBF process printing multilayer structure and the innovation and research and development speed of the process are limited. A second C-shaped frame is fixed to one side of the top face of the bottom plate, a second top plate is arranged below the second C-shaped frame, a plurality of evenly-distributed second electric push rods are fixed to the bottom face of the second top plate, filling devices are fixed to the bottom faces of the second electric push rods, and second pistons are fixed to the output ends of the second electric push rods. According to the invention, a plurality of metal samples with controllable layer thickness and different formulas can be printed at one time with high throughput, and the manufacturing capability of a high-throughput LPBF process for printing a multilayer structure and the innovation and research and development speed of the process are greatly improved. Therefore, various different experiment requirements can be met. Implementation of the multi-layer printing and layer thickness control functions is a key innovation point of the method, and the flexibility and applicability of the high-throughput LPBF process are improved.

The application discloses a silicon carbide part preparation method based on gel injection molding, and steps include: mixing and ball-milling silicon carbide powder, carbon black, phenolic resin, solvent, dispersing agent and acrylic crosslinking agent to obtain first slurry; adding curing agent to the first slurry, continuing ball-milling, and removing bubbles to obtain second slurry; pouring the second slurry into a polypropylene mold, curing, and demolding to obtain a wet blank; drying and sintering the wet blank to obtain a silicon carbide part. The method has high uniformity, low defect control and complex shape manufacturing capacity, can be used for preparing large-size silicon carbide devices, and is suitable for industrial large-scale production. Phenolic resin and acrylic crosslinking agent are used as binders, gradient curing can be performed to prevent particle sedimentation, uniform blanks can be generated, and nano-carbon can be generated by pyrolysis of phenolic resin, which can fill pores, inhibit the formation of silicon points, and in-situ generate nano-silicon carbide, so that the density and mechanical properties of the sintered body are significantly improved.

The invention belongs to the technical field of intelligent manufacturing capability maturity evaluation, and discloses an intelligent manufacturing capability maturity evaluation method and system based on industry characteristics and semantic understanding. The evaluation method comprises the steps of constructing an industry feature knowledge base, generating a personalized evaluation information packet, performing semantic processing on evidence materials, calculating matching degree and similarity, calculating the maturity of the capability subdomains, performing comprehensive rating and the like, and finally integrating maturity scores of all the capability subdomains to form an intelligent manufacturing capability maturity grade result of an evaluated enterprise. Through industry feature matching, semantic vector analysis and dynamic weight calculation, objective, efficient and accurate evaluation of the intelligent manufacturing capability maturity is realized, and the method can be widely applied to manufacturing enterprises and has remarkable economic benefits and popularization values.

To control illumination uniformity so that lithographic tools perform lithography processes as efficiently as possible for maximizing manufacturing capacity and yield rates, minimizing manufacturing defects, and reducing cost per device.SOLUTION: An illumination adjustment apparatus to adjust a cross slot illumination of a beam in a lithographic apparatus includes a plurality of fingers to adjust the cross slot illumination to conform to a selected intensity profile. Each finger has a distal edge that includes at least two segments. The two segments form an indentation of the distal edge.SELECTED DRAWING: Figure 6

A manufacturing resource recommendation system based on knowledge graph and collaborative filtering includes 6 modules, namely: data preprocessing module, collaborative filtering module, technology content calculation module, knowledge graph module, similarity fusion module and recommendation module. For the recommendation system of manufacturing resources, fully combines the characteristics of manufacturing resources, and introduces the resource relationship knowledge graph, breaks the resource isolation, reflects the real and reliable manufacturing capacity, and can effectively improve the recommendation accuracy of the system, enhance the recommendation richness and recommendation interpretability, and has good innovation significance.

The invention discloses a thermal stable diaphragm material for a lithium ion battery and a preparation method of the thermal stable diaphragm material, and the material solves the key problems of easy thermal runaway, deformation shrinkage, channel blockage and the like of the existing diaphragm under extreme working conditions by synergistically constructing a three-dimensional composite structure with high thermal stability, mechanical flexibility and ion permeability. The flexible lithium battery diaphragm has good large-scale preparation capability and engineering application prospect, cement which is a traditional building material is introduced into a flexible lithium battery diaphragm system for the first time, and a multi-scale synergistic ion guide channel system is constructed by utilizing the high thermal stability and natural porosity of the cement and combining a polymer flexible phase and an in-situ foaming process. The strategy not only realizes the morphological stability and thermal protection capability of the material under a high-temperature condition, but also significantly improves the ion permeability and interface electrochemical suitability, and breaks through the problem of performance balance between thermal stress and flexibility of the existing polyolefin and inorganic coating diaphragm. Besides, the whole system adopts low-cost raw materials, the preparation process can be completed under normal-temperature and normal-pressure conditions, high-temperature sintering, electrospinning or vacuum treatment is not needed, and the industrial popularization potential is extremely high.

The application relates to the field of steel rolling technology and discloses a control method of a cold rolling mill. The method comprises the following steps: collecting rolling force and bending force of each rack in the cold rolling mill at a first set rolling speed, and a position difference of a pressing cylinder between a working side and a driving side of each rack as rolling force setting, bending force setting and leveling setting of the corresponding rack when the cold rolling mill starts; obtaining actual tension between adjacent racks in the cold rolling mill; if the actual tension between the adjacent racks is equal to zero, building tension for the racks between the out-of-tension rack and the last rack; if the actual tension between the adjacent racks is greater than zero, or after building tension for the racks between the out-of-tension rack and the last rack, adjusting the rolling force, the bending force and the position difference of the pressing cylinder of each rack to the given data; and controlling the cold rolling mill to start according to a starting threading speed. The technical scheme can improve the production stability and manufacturing capacity of the cold continuous rolling mill.

This utility model relates to metal-cutting tools for broaching cylindrical holes. The technical result consists of increased machining productivity, reduced broaching force, vibration, and specific pressure on the teeth, increased tool life and hole machining quality, and expanded broach manufacturing capabilities. The two-stage progressive broach has a front shank, a neck, a transition cone, a front guide, a two-stage cutting section, a calibrating section, a rear guide, and a rear shank. The first-stage cutting teeth have splined straight-sided cutting lugs and chip-separating grooves on each cutting lug; the second-stage teeth have staggered chip-separating grooves on each tooth. In the calibrating section, two pre-calibrating teeth are made in front of the round calibrating teeth, and the transition section between the steps is made enlarged.

This application relates to the field of steel rolling technology, and discloses a method, apparatus, and electronic equipment for predicting the rolling force of a cold rolling mill. The method includes: constructing a speed-rolling force relationship model based on the rolling speed and rolling force of the cold rolling mill; constructing a flow-rate-rolling force relationship model based on the roll gap flow rate and rolling force of the cold rolling mill; constructing a rolling force prediction model based on the speed-rolling force relationship model and the flow-rate-rolling force relationship model; obtaining the actual rolling speed and actual roll gap flow rate of the cold rolling mill; and determining the actual rolling force of the cold rolling mill based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model. The technical solution proposed in this application can improve the accuracy of rolling force prediction for cold rolling mills and enhance the production stability and manufacturing capability of cold rolling mills.

The utility model discloses a modularized quick mold changing molding machine which comprises a mold opening and closing mechanism, mold changing rails are arranged on the two sides of the mold opening and closing mechanism, a mold changing trolley capable of moving front and back is arranged on the mold changing rails, and a moving mechanism is arranged above the mold changing trolley. A plurality of air bags are arranged at the corresponding top end position over the mold opening and closing mechanism, and sand hoppers are arranged among the air bags. According to the utility model, quick die change can be realized, dies of various specifications are compatible, and the production efficiency and the flexible manufacturing capability are improved.

The application provides a kind of intelligent manufacturing capability maturity evaluation method, device and equipment, the method comprises: the intelligent manufacturing capability maturity evaluation index system of multiple different dimensions covering target enterprise is constructed;Obtain the evaluation information set of the evaluation expert set to target enterprise;Based on evaluation information set, construct probability language decision matrix framework;Based on BWM algorithm, evaluation information set is handled, to obtain the weight of different evaluation attributes involved in probability language decision matrix framework, form probability language decision matrix based on weight and probability language decision matrix framework;Based on VIKOR algorithm, probability language terms in probability language decision matrix are handled, and the intelligent manufacturing capability maturity level evaluation result of target enterprise is obtained.The method of the application can objectively and accurately collect expert evaluation information to evaluate the intelligent manufacturing capability maturity of enterprise.

A technical problem is to improve productivity of a manufacturing system. The problem is solved by a can body manufacturing system according to the present invention including a can barrel forming apparatus, a printing apparatus, and a branch conveyor, wherein the can barrel forming apparatus is an apparatus for forming can barrels, the printing apparatus is to perform printing on an outer surfaces of the can barrels and includes a printing apparatus inlet conveyor, the branch conveyor is arranged in a post-process of the can barrel forming apparatus and includes a flow path switching unit, a first branch of the branch conveyor is connected to the printing apparatus inlet conveyor connected to the printing apparatus and is connected to a printed can manufacturing section, a second branch of the branch conveyor is connected to a bypass inlet conveyor not passing through the printing apparatus and is connected to a plain can manufacturing section, and printed cans manufactured by the printed can manufacturing section and plain cans without being printed manufactured by the plain can manufacturing section are producible by switching the flow path switching unit.

Disclosed subject matter identifies, characterizes, and mitigates previously unforeseen safety hazards that are likely to be encountered by autonomous conveyances—finding these hazards, assessing their potential safety impact, modifying the design to mitigate them should they occur, disseminating updated design programming to all units, including those under construction or those already in the field, and including those hazard mitigations of high severity that exceed the maximum capabilities of the controller as manufactured. These hazards can include rare, infrequent and unforeseen hazards by monitoring conveyances already in the field, gathering data from autonomous conveyances, such as those using a design being updated, and data obtained from those using other autonomous designs in the field. By obtaining data from non-autonomous conveyances, as supplied by their drivers and operators, reporting real-time via a smartphone application, categories of rare, infrequent or unforeseen hazards can be integrated into modified designs.

The present application relates to a kind of based on time domain shaping femtosecond laser high-quality processing CFRP method, belong to CFRP material processing field.The present application is based on femtosecond laser processing CFRP, traditional femtosecond laser is shaped in time domain, it is divided into double pulse with interval 0.1-100ps in time, utilize the characteristics that the material system of each component of CFRP composite material is different, by regulating pulse delay and pulse number explore its respective threshold variation law, and compare between threshold difference change trend, finally according to actual processing purpose select appropriate time domain shaping femtosecond laser processing parameter to realize the high-quality processing of CFRP.This based on time domain shaping femtosecond laser high-quality processing CFRP method, the processing result obtained is without impurity residue, processing uneven, or without layering, tearing, burr and other adverse phenomena, and simultaneously realize the dynamic regulation of different components in material, increase or reduce the difference between different components according to processing demand, to reduce the thermal damage of pre-processing surface or the heat-affected zone of hole and groove structure edge, this method shows the manufacturing capacity and application prospect of high-quality processing CFRP.

The invention provides an intelligent process planning method and system fusing equipment manufacturing capability constraints, and belongs to the technical field of computer-aided process planning and intelligent manufacturing. The method comprises the following steps: establishing a multi-dimensional manufacturing resource constraint model containing machining capacity, motion space and clamping feasibility; taking the constraint model as a boundary, and solving a clamping scheme by adopting a multi-objective evolutionary algorithm; constructing an attribute adjacency graph based on the determined clamping scheme, and dynamically identifying machinable features by adopting a graph neural network; fusing the constraint model and process knowledge, and intelligently generating detailed process procedures including a machining sequence, cutter selection and cutting parameters by adopting a hybrid particle swarm optimization algorithm; according to the method, the equipment manufacturing capability is taken as a preposed hard constraint of process planning, and the generated process scheme is ensured to have high engineering feasibility.

The system is applied to the field of intelligent and digital operation management of industrial manufacturing. According to the method, digital simulation modeling is visually and accurately carried out on product manufacturing capabilities of productivity units such as working centers and intelligent production lines of an intelligent factory in a software graphical mode, and a unique manufacturing digital control execution system of each product is generated according to an established product productivity model. The graphical configuration model highly abstracts production elements such as human, machine, material, method, measurement and the like in the manufacturing capability and a combination mechanism, and provides the modeling capability of quickly constructing a product capacity model in a graph dragging mode. The problem that intelligent manufacturing core software MESMOM is difficult to adapt to products in different industries, different manufacturing processes and different management and control events is solved, manufacturing capacity digital models of all the products of the enterprises are changed from nothing to existence, the demand difference of intelligent manufacturing of all the enterprises is undertaken through model difference, the difficulty of digital manufacturing is reduced, and the production efficiency is improved. And the method has a wide market popularization value.

This utility model discloses a primary-side water pump cabinet structure for a data center, including a cabinet shell. An inlet pipe is located inside the cabinet shell, with one end of the inlet pipe having a water pump cabinet inlet located outside the cabinet shell. The other end of the inlet pipe is connected to an outlet pipe via a water pump, with the other end of the outlet pipe having a water pump cabinet outlet located outside the cabinet shell. A pressure-regulating expansion tank is connected to the inlet pipe between the water pump cabinet inlet and the water pump. A replenishment tank is connected to the inlet pipe between the pressure-regulating expansion tank and the water pump. A safety pressure relief valve is installed on the outlet pipe between the water pump and the water pump cabinet outlet, and the safety pressure relief valve is connected to the replenishment tank via a return pipeline. First and second pressure gauges are installed on the inlet and outlet pipes at both ends of the water pump, and a third pressure gauge is installed on the inlet pipe between the replenishment tank and the first pressure gauge. This utility model has a compact structure, small footprint, modular manufacturing capability, convenient maintenance, and features pipeline pressure stabilization and automatic replenishment functions.

The invention relates to a systematic implementation method of a rolling unit team manufacturing capability index and cost benefit measuring and calculating model, which comprises the following steps of: 1, establishing a rolling unit manufacturing capability index to comprehensively evaluate the manufacturing stability and the lifting capability of a unit team, and 2, establishing a hot rolling unit team manufacturing capability index model, the method comprises the steps of 1, building a cold rolling unit team manufacturing capacity index model, 2, building a rolling unit team index improvement benefit measuring and calculating model, 3, building a rolling unit team index improvement benefit measuring and calculating model, 5, automatically calculating and tracking the manufacturing capacity index by day by a system, 6, measuring and calculating the rolling unit team index improvement benefit by the system, and 7, developing and designing a model interface layer. The overall manufacturing capacity of the rolling unit is improved, and the machining cost of a supporting unit is continuously reduced. By establishing a team cost benefit measurement and calculation model, calculation can be carried out by everyone, and calculation can be carried out at any time.

A system (100) for enabling trusted on-demand distributed manufacturing includes a first interface (120) configured to receive product data from a product data source (110-A, 110-B, 110-N), a second interface (130) configured to exchange manufacturing data from a manufacturing data source (140-A, 140-B, 140-N), a trust anchor module (170) configured via computer executable instructions to add a physically unclonable function (PUF) to a product, generate a non-fungible token (NFT) to represent the product on an NFT platform (172), a matching module (174) configured via computer executable instructions to match the product characteristics with requirements of a buyer and manufacturing capabilities of a producer, and a traceability module (176) to verify success of a manufacturing process.