1583 results about "Injection molding process" patented technology

The invention belongs to the field of artificial intelligence, particularly relates to an intelligent regulation and control system for an injection molding process of an industrial control system, and aims to solve the problem that high-precision cooperative regulation and control are difficult under material batch fluctuation, mold state change and environmental disturbance. The system comprises a multi-source sensing module, a dynamic modeling module, a self-adaptive decision-making module, an execution feedback module and a knowledge evolution module, and high-stability and high-adaptability intelligent regulation and control of the injection molding process are achieved through a mixed digital twin model integrating a physical mechanism and data driving, confidence-guided multi-objective optimization and continuous evolution of a process knowledge graph.

The invention specifically relates to the technical field of intelligent control, and discloses an intelligent control-based mold forming optimization system, which comprises a defective finished product image acquisition module, a defect intelligent identification module, a defect score quantification module, a process parameter synchronous acquisition module, a process risk dynamic analysis module and a process association closed-loop optimization module, the method comprises the following steps of: calculating a single-parameter risk index and a comprehensive risk index based on a process risk dynamic analysis module through a process parameter synchronous acquisition module in real time of full-flow process parameters of an injection molding process, identifying abnormity when the parameters deviate from an optimal target value, immediately triggering early warning, quickly positioning core cause parameters through a defect-process incidence matrix, and quickly positioning the core cause parameters through the defect-process incidence matrix. The influence of adjustment of different parameters on comprehensive defect scores is simulated within an equipment constraint range through a reverse optimization algorithm, a reverse optimization scheme is generated, a full-link traceable data link is formed through timestamps, stop loss time and production cost are greatly reduced, and accurate assessment and prediction of risks are achieved.

The invention belongs to the technical field of PBT plastic particle injection molding, and particularly relates to a precise injection molding process control system for PBT plastic particles. The control system is composed of the following modules: a material characteristic sensing and modeling module, a multi-physical field simulation and parameter generation module, a distributed optical fiber global sensing module, a predictive closed-loop control module, and a digital twinning and full-period optimization module. The material characteristic sensing and modeling module is used for acquiring microscopic parameters of PBT raw materials through a near infrared spectrum sensor and constructing a material characteristic dynamic model; raw material characteristic fluctuation is pre-judged through near infrared spectrum dynamic modeling, technological parameter drift is predicted in advance in combination with an LSTM neural network, and feed-forward compensation is started before deviation is formed; compared with post correction in the prior art, the mechanism has the advantages that the parameter fluctuation control precision is improved, and the prevention efficiency for the problems of hydrolytic degradation, internal stress concentration and the like which are prone to occurring in PBT is improved.

The invention discloses an intelligent pressure maintaining control method for a thin-wall product of an injection molding machine based on mold pressing feedback. The intelligent pressure maintaining control method comprises the following steps: (1) constructing a hardware layer; (2) configuring a software layer; (3) a mold cavity pressure acquisition module acquires original pressure data in the injection mold cavity in real time through a pressure sensor; (4) the data preprocessing module carries out filtering processing on pressure signals generated by the pressure data, and (5) the dynamic pressure maintaining control module dynamically adjusts pressure parameters and pressure maintaining time by receiving the real-time pressure data, product wall thickness parameters, mold structure parameters and injection molding process parameters, generates a pressure maintaining control instruction and sends the pressure maintaining control instruction to an injection molding machine control system; driving the injection molding machine to execute pressure maintaining action; (6) the dynamic pressure maintaining control module associates and stores the pressure change curve and the parameter adjustment record in the pressure maintaining process in a feedback learning module, and optimization calculation is carried out; and (7) the man-machine interaction interface displays the pressure change curve, the pressure maintaining control parameters and the forming state of the injection mold cavity in real time.

The invention relates to the technical field of artificial intelligence, in particular to an injection molding process parameter optimization method and system based on hybrid algorithm and model fusion, and the method comprises the steps: optimizing a parameter combination of a support vector regression model through a simulated annealing algorithm, building a weighted fusion model based on the optimized support vector regression model and a random forest, and optimizing the model; constructing a hybrid model of an adaptive selection weighted fusion model and an optimized support vector regression model; constructing a three-objective optimization model including buckling deformation, volume shrinkage and production energy consumption, and searching a Pareto optimal solution set in a process parameter space by adopting a multi-objective genetic algorithm by taking the hybrid model as a target value evaluation tool; carrying out local correction on the key process parameters by adopting a gradient descent method until the deviation falls back to be within a preset threshold value, and obtaining optimized process parameters; the defect rate of products can be reduced, and meanwhile production energy consumption is reduced.

The invention discloses a temperature and pressure sensor and a manufacturing method thereof, the temperature and pressure sensor comprises a support assembly formed by an inner support and a thermistor through an injection molding process, two pin copper wires of the thermistor are welded to an insertion piece of the inner support, and a plastic supporting structure wrapping the thermistor and the inner support is formed through injection molding; one end of a PIN needle of the terminal button is connected with an external plugging port; one end of a conductive circuit of the flexible wire board is respectively welded with the PIN of the ceramic capacitor and the insertion piece of the inner bracket, and the other end of the conductive circuit of the flexible wire board is welded with the other end of the PIN of the terminal button; a through hole is formed between the support assembly and the shell, a medium makes contact with the ceramic capacitor through the through hole, the ceramic capacitor transmits a pressure signal to the outside through the flexible wire board and the end button, the thermistor senses the temperature of the medium through the plastic supporting structure, and a temperature signal is transmitted to the outside through the inserting piece, the flexible wire board and the end button. The thermistor is effectively prevented from losing efficacy due to medium impact, and meanwhile, the structural process is relatively simple and easy to assemble.

The invention discloses a manufacturing method of a ligation clip and the ligation clip, the ligation clip comprises a V-shaped ligation clip body, the ligation clip body is made of a high polymer material, the ligation clip body is provided with a first clip arm, a second clip arm and an elastic connecting part, the end part of the first clip arm is provided with a lock hook, and the end part of the second clip arm is provided with a lock catch; the ligature clip further comprises metal wires arranged in the first clip arm, the second clip arm and the elastic connecting portion, a plurality of grooves are formed in the outer surfaces of the metal wires, the ligature clip body wraps the metal wires through an injection molding process, and anchoring portions extending into the grooves are arranged in the ligature clip body. According to the ligation clamp, a rigid-flexible composite implementation mechanism is adopted, the metal wire serves as a rigid core, the ligation clamp body made of a high polymer material serves as a flexible base body, in addition, mutual movement of the ligation clamp body and the metal wire is effectively prevented through combination of the groove and the anchoring part, the mechanical property bottleneck of a traditional single-material ligation clamp is broken through, and the durability of the ligation clamp is improved.

The invention discloses a deep reinforcement learning optimization method for injection molding process parameters, and belongs to the technical field of intelligent manufacturing. The method comprises the following steps: constructing a dynamic causal graph network through information entropy flow analysis and transfer entropy calculation, and revealing a causal relationship and time delay characteristics among process parameters; manifold learning is adopted to map a high-dimensional parameter space to a low-dimensional manifold, and Riemannian metric guide optimization search is constructed based on the quality gradient; generating enhanced state representation fusing causal association and manifold geometric information; identifying a production element state and selecting a corresponding optimization strategy; a geodesic line is planned in a manifold space to obtain an optimal parameter adjustment path; historical experience is utilized through memory retrieval and case adaptation; cross-task knowledge migration is realized; adopting a depth deterministic strategy gradient algorithm to optimize the decision; and online learning is realized through elastic weight consolidation. According to the method, the problems of black box decision, slow convergence, difficulty in knowledge reuse and the like in the prior art are solved, the optimization efficiency and the interpretability are improved, and the method has the capability of quickly adapting to new tasks.

The utility model discloses an electro-magnetic levitation in-mold injection molding structure, which belongs to the technical field of in-mold injection molding process, and comprises an injection cavity structure, a molding framework structure, a magnet structure and an external power supply positive and negative pole structure, the molding skeleton structure is movably arranged in the injection cavity structure, an N pole of the magnet structure is arranged on one side of the injection cavity structure, and an S pole of the magnet structure is arranged on the other side of the injection cavity structure; the external power source positive and negative electrode structure is arranged on the adjacent side of the injection cavity structure and electrically connected with the forming framework structure. The injection molding structure in the electro-magnetic levitation mold solves the technical problem that a power line and a memory steel wire are easy to expose when a Bluetooth earphone neck hanging product is subjected to oil pressure molding.

The invention relates to a real-time monitoring method and system for a temperature field in an automobile mold injection molding process, in particular to the field of temperature field control of automobile mold injection molding, effectively eliminates a monitoring blind area through real-time reconstruction of a complete temperature field, accurately identifies an overheating risk based on prediction data corrected by physical constraints, and improves the accuracy of temperature field monitoring. And finally, active intervention on a cooling system is realized through feedforward-feedback compound control, so that the product quality consistency is remarkably improved, the rejection rate is reduced, meanwhile, the production takt time and energy consumption are optimized, and the intelligent control level and economic benefits of the injection molding process are comprehensively enhanced.

The invention relates to the technical field of front windshield clamping strip structures, in particular to a clamping strip sealing assembly for a front windshield and an installation method thereof.The clamping strip sealing assembly for the front windshield comprises an air inlet grille, a grille clamping jaw is integrally formed at the lower end of the air inlet grille, and the front end of the grille clamping jaw protrudes to form a clamping hook; the clamping strip structure comprises a composite metal framework and a composite hard assembly wrapping the composite metal framework, the composite hard assembly comprises a strip-shaped piece and an asymmetric U-shaped groove, and the U-shaped groove comprises a first straight arm, a second straight arm and a crank arm; and the multi-dimensional sealing unit is used for achieving sealing fit between the grating clamping jaw and the U-shaped groove. Through the composite metal framework and the injection molding mechanical interlocking design, the composite metal framework provides a multi-dimensional combination basis for the composite hard assembly, the composite hard assembly and the metal framework form mechanical interlocking through the injection molding process, and the defect that in the prior art, combination of the framework and the coating layer is not stable is overcome.

The invention discloses an injection molding process fault diagnosis system based on a knowledge graph, and relates to the technical field of injection molding process fault diagnosis. The injection molding process data comprises novel fault case data, maintenance and solution records, expert experience and feedback and new equipment specifications, data preprocessing and structuring are carried out, and a multi-source dynamic data stream is output; and the knowledge increment extraction verification module is used for executing entity identification and relation extraction based on the multi-source dynamic data flow. Multi-dimensional data such as novel fault cases and expert experience are captured in real time through the multi-source data dynamic acquisition module, and the problem that a static knowledge graph cannot be brought into new changes is solved; the knowledge increment extraction verification and self-adaptive updating module can dynamically expand the ontology, incrementally update the atlas and guarantee the data consistency, ensure that the atlas can incorporate fault knowledge related to new materials and new equipment in real time, and expand the fault coverage range.

The utility model provides a flexible gear, a harmonic reducer, a mechanical arm and automatic cleaning equipment, the flexible gear comprises a gear body and a connecting part, the connecting part is arranged on the gear body, and the connecting part protrudes out of the surface of the gear body. The flexible gear is provided with the gear body and the connecting part protruding out of the surface of the gear body, so that the problem of shrinkage during injection molding of the connecting hole in the prior art is solved, and the defects of insufficient injection molding filling and the like of the tooth shape caused by shrinkage of the connecting hole are effectively overcome, so that the transmission precision is improved, and the flexible gear can stably and accurately transmit power in the transmission process; and the flexible gear can be more easily integrally formed by adopting an injection molding process, so that the yield is improved. And by arranging the multiple connecting columns, stress can be dispersed, and connection between the flexible gear and the torque output carrier is more stable and reliable. Compared with the mode that a connecting hole is formed in the flexible gear in the prior art, the flexible gear in the embodiment is higher in overall strength, and the service life of the harmonic reducer can be prolonged.

The invention relates to the technical field of mechanical parts, and discloses a high-bearing engineering plastic worm gear applied to a light truck electric power steering system and a manufacturing process, and the manufacturing process comprises the following steps: pretreatment of a polymer base material, preparation of a composite reinforcing material, preparation of an injection molding raw material, precise injection molding, post-treatment and detection. After a polymer base material is subjected to fluorination activation treatment, the surface energy of the material is reduced, the interfacial compatibility with a composite reinforced material is enhanced, and through the synergistic effect of chemical bonding and physical anchoring formed between matrix resin and a modified reinforcement body, the interfacial layering tendency of engineering plastic and a fiber reinforced phase is overcome, so that stress transmission is more uniform; meanwhile, the functional additive components generate an in-situ synergistic effect in the precise injection molding process, and form a multi-stage enhanced network with matrix resin, so that the worm wheel matrix is endowed with excellent overall bearing strength and fatigue fracture resistance, and the structural integrity under the working conditions of high load and high-frequency steering is ensured.

The invention relates to the field of injection molding, in particular to a precision mold for insert injection molding. The die comprises a lower die and an upper die, a lower mold cavity is formed in the lower mold; the upper mold can slide up and down relative to the lower mold, an upper mold cavity and a grouting channel are formed in the upper mold, and a grout outlet of the grouting channel communicates with the upper mold cavity; the iron core insert is transversely placed in the lower die cavity, and the short transverse portion is located on the lower portion. And a mold core structure is arranged in the lower mold cavity. During injection molding, the injection molding surface in the middle of the iron core insert is in a sealed state firstly under the action of the mold core structure and then is switched into an open state, so that the lug parts are formed at the two ends of the iron core insert in an injection molding manner firstly, and then the injection molding surface in the middle of the iron core insert is subjected to injection molding, so that the speed and the injection molding pressure of an injection molding material are conveniently controlled; and when the middle part is subjected to injection molding, an injection molding material enters from two ends and flows from top to bottom, the flowing resistance is small, gas residues are not prone to being generated, and the injection molding efficiency and the combination reliability of the injection molding material and the iron core insert are improved.

An injection molding apparatus for producing a plastics molding comprising a first component, a second component, and a third component comprises a first mold plate having at least 3 first mold nests, and a second mold plate having at least 3 second mold nests. In the closed state, the mold plates cooperate in the production of the plastics mold. In the opened state, the second mold plate is rotatable relative to the first mold plate. The at least 3 second mold nests comprise, in a case A), at least two second mold nests for injection molding the first component, and at least one second mold nest for injection molding the third component, or, in a case B), at least two second mold nests for injection molding the second component, and at least one second mold nest for injection molding the first component.

A flexible light therapy helmet is disclosed. The flexible light therapy helmet comprises an outer layer formed of Ethylene Vinyl Acetate (EVA) material via an injection molding process. The outer layer defines a wearing space. An inner layer formed of the EVA material via the injection molding process. The inner layer is disposed on a side of the outer layer facing the wearing space. A printed circuit board (PCB) is disposed between the inner layer and the outer layer. The PCB comprises a plurality of light-emitting diodes (LEDs). A plurality of light-transmitting holes formed in the inner layer. Each light-transmitting hole is aligned with a corresponding LED to transmit therapeutic light toward a user's scalp.

The invention relates to the technical field of injection molding, and discloses a high-precision adjustment dust collector injection molding part body injection molding process which comprises the following steps: before a melt enters a mold cavity, obtaining a feed-forward signal representing the physical performance of the melt through an online melt quality characterization (IMQ) system, and obtaining a feed-forward signal representing the physical performance of the melt based on the feed-forward signal; a dynamic valve needle fine tuning (DVM) system is used for applying rheological state intervention to the melt about to enter the cavity at a pouring gate; and on the basis of the feedforward signal, a local thermal field on the surface of a mold cavity is instantaneously and dynamically regulated and controlled through a dynamic energy field (AZT) active cavity system. By arranging the online melt mass characterization (IMQ) system, a feed-forward signal of performance fluctuation of the melt is obtained before the melt enters a cavity, the problem of continuous waste caused by adjustment lag in a traditional process is fundamentally solved, and high stability and process consistency of a dust collector injection molding part body in the continuous production process are ensured.

The invention discloses a material flow collaborative distribution system for a double-color injection mold of an automobile connector, relates to the technical field of intelligent manufacturing equipment, and can solve the technical problems of inaccurate regulation and control in the injection molding process and easy generation of a bonding line defect, and the material flow collaborative distribution system comprises the following steps: obtaining production monitoring data in the production process of the double-color injection mold; according to time sequence monitoring parameters in the production monitoring data, abnormal data generated by temporary interference are identified and eliminated, and abnormal state parameters are obtained; wherein the abnormal state parameter is used for representing a real process abnormal state after the temporary interference is eliminated; according to the abnormal state parameter, screening out a historical similar state similar to the current production process from the historical production monitoring data, and determining the interference degree on the defect of the bonding line in the current production process according to the historical similar state; determining a current regulation and control demand according to the interference degree; and a regulation and control instruction is generated according to the current regulation and control requirement, and an execution mechanism is driven according to the regulation and control instruction to adjust the melt propelling speed.

The invention discloses a composite material with a shielding function, a preparation method thereof and an interphone shell. The composite material comprises a polycarbonate-acrylonitrile-butadiene-styrene copolymer, a modified conductive filler, maleic anhydride grafted polyethylene, polyaryletherketone, a flame retardant, an antioxidant, glass microfibers and a compatilizer, wherein the modified conductive filler is aluminum oxide ceramic particles subjected to chemical copper plating and graft polymerization treatment. The preparation method comprises the steps of modified conductive filler preparation, step-by-step raw material mixing, twin-screw extrusion granulation and drying. The interphone shell is prepared from the composite material through injection molding, and the injection molding process comprises the steps of raw material drying, injection molding machine preheating, charging and injection molding, and demolding and finishing. The composite material is stable in electromagnetic shielding performance and has good mechanical strength and heat resistance; the preparation method can improve the dispersity of the components and is adaptive to conventional equipment; the interphone shell can block electromagnetic wave interference, is suitable for being used in multiple environments, and meets the requirements of an electronic equipment shell for shielding and structural performance.

The invention relates to the field of technological parameter monitoring, in particular to a sealing element injection molding machining technological parameter monitoring method and system. The method comprises the following steps: collecting each technological parameter of injection molding processing of the sealing element, and calculating a temperature-pressure cooperation coefficient of each processing period; analyzing the proportion of the difference condition of the process parameters to obtain a change factor of each process parameter, constructing a process change vector, and calculating the process similarity of each processing cycle; the method comprises the following steps of: calculating a coupling stability tensor at each acquisition moment on the basis of a temperature-pressure cooperation coefficient and a process similarity, constructing a coupling deviation degree, modifying a measurement distance in a DBSCAN density clustering algorithm to obtain a clustering result, obtaining abnormal process parameters on the basis of the clustering result, and completing monitoring on the injection molding processing process parameters of the sealing element; the machining process parameter monitoring efficiency is improved, and the monitoring effect is improved.

The invention discloses an electric toothbrush injection molding intelligent monitoring method and system based on sensing feedback, and relates to the technical field of intelligent monitoring. The method comprises the following steps: carrying out node region division on an electric toothbrush injection molding machine to obtain N injection molding process node regions, and deploying a multi-modal sensor group; injection molding process data streams of N nodes are collected and accessed to an RS485 communication network to perform data communication transmission between the multi-mode sensor group and the injection molding control center; the injection molding control center carries out molding prediction simulation and abnormal defect identification, and injection molding abnormal defect parameters are determined; and injection molding self-adaptive monitoring feedback is carried out, injection molding abnormal feedback parameters are obtained, and molding optimization control is carried out. The technical problem that in the prior art, the injection molding quality of the electric toothbrush is unstable is solved, intelligent recognition and self-adaptive feedback control over abnormal molding are achieved by conducting multi-mode sensing monitoring on the injection molding process, and the technical effect of improving the stability of the injection molding quality is achieved.

The invention relates to the technical field of injection molding machining, and particularly discloses an injection mold of a progressive multi-focus lens and an injection molding process thereof.The mold comprises a movable mold body and a fixed mold body which are oppositely arranged from top to bottom, a fixed mold cavity is formed in the top of the fixed mold body, a molding table is arranged on the lower portion in the fixed mold cavity, and a molding cavity is formed in the middle of the top of the molding table; a movable mold table extending into the fixed mold cavity is arranged at the bottom of the movable mold, a shaping mold plate matched with the forming cavity is arranged at the bottom of the movable mold table, and after the movable mold and the fixed mold are close to each other to be closed, an injection mold cavity used for lens forming is formed through the shaping mold plate and the forming cavity; a deformable template corresponding to the progressive light curved surface of the lens is arranged at the bottom of the forming cavity, a temperature control assembly is arranged in the deformable template, and the temperature control assembly is used for controlling the temperature change to achieve accurate adjustment of the curved surface curvature of the deformable template; the temperature step adjustment of each curved surface section is precisely matched with the curvature, so that the optical precision of the injection-molded lens is improved.

The invention discloses a discrete device packaging structure based on direct lead bonding, which belongs to the technical field of semiconductor device packaging and comprises a power semiconductor chip, a drain metal substrate, a grid lead terminal, a drain lead terminal, a bonding wire and a supporting shell. The drain electrode metal substrate is connected with the lower surface of the power semiconductor chip through solder. The gate metal electrode on the upper surface of the power semiconductor chip is connected with the gate lead terminal through a bonding wire, and the source metal electrode on the upper surface of the power semiconductor chip is connected with the source lead terminal through solder. The interior of the supporting shell is filled with silica gel or an injection molding process, and the supporting shell covers the power semiconductor chip to serve as an insulating medium. The power density of the device is improved, the parasitic parameter of the whole device is reduced, and the reliability of the interconnection structure is improved.

The invention discloses a thin-wall shell plastic part injection molding process parameter multi-objective optimization method, which is based on an RIME-RF-MOGWO framework, takes a simulation sample as a research object, selects a volume shrinkage rate and a buckling deformation amount as optimization objectives, and firstly adopts SMOTE to process a data imbalance problem; establishing a nonlinear mapping relation between the process parameters and the quality target by using RF; an RIME is introduced to optimize the hyper-parameter of the RF; multi-objective optimization of process parameters is realized in combination with MOGWO, and a Pareto frontier solution set is obtained through non-dominated sorting and a congestion degree control mechanism. A multi-round optimization and simulation verification result shows that the multi-objective optimization method for the injection molding process parameters of the thin-wall shell plastic part can effectively obtain an optimal process parameter combination, the volume shrinkage rate is reduced by 19.02%, the buckling deformation amount is reduced by 50.63%, and the molding quality of the thin-wall plastic part can be remarkably improved.

The invention relates to the technical field of process control, in particular to an injection molding process optimization method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining stress signals of four tie bars of an injection molding machine, calculating a total mold locking force, and preprocessing the stress signals through temperature compensation and moving average filtering; real-time mold cavity pressure is calculated based on a mold filling stage linear model, a pressure maintaining stage quadratic function model and a cooling stage exponential attenuation model triggered by an injection molding machine control signal; generating a standard curve template with a confidence interval according to the characteristic parameters of the qualified sample, and dynamically updating the standard curve template; and comparing the current pressure curve with a standard template output quality judgment result in real time, and triggering automatic parameter adjustment to form closed-loop control. The device and the method have the effect of solving the problems of high cost, poor compatibility and difficulty in maintenance when the pressure of the die cavity is directly measured.

The present disclosure relates to a system and method for monitoring an injection molding process which may calculate injection time and packing time by attaching an acceleration sensor to an injection molding mold with bolts and measuring an amplitude change of a vibration signal of a mold during injection molding, detect mold closing and opening signals of the mold using a magnetic hall sensor, and monitor the injection molding process by measuring cycle time and cooling time, thereby simplifying installation and maintenance and reducing installation costs.

The invention relates to an injection molding machine self-adaptive machining control method and system based on material characteristics, and relates to the technical field of injection molding machining control. The method comprises the steps that material characteristic data and initial control parameters of injection molding materials produced by an injection molding machine are collected; according to the material characteristic data and the initial control parameters, injection molding machining flash prediction is conducted, and the flash size is obtained; adjusting step length according to the flash size configuration, optimizing the initial control parameters to obtain adjusted control parameters, predicting injection molding processing flash and injection molding short-shot deformation, and obtaining adjusted flash size and adjusted short-shot parameters; injection molding cost parameters and injection molding quality parameters are obtained through calculation according to the adjusted flash size and the adjusted short shot parameters, optimal control parameters are obtained through iterative optimization, and machining control is conducted. The method solves the problems that a traditional machining control method mostly depends on fixed parameter machining, material characteristic fluctuation is difficult to cope with, burrs formed when materials overflow from a mold and product deformation caused by short injection cannot be solved, and the product quality machining precision is insufficient.

The invention relates to the technical field of photovoltaic connector manufacturing, in particular to a temperature control forming process of a photovoltaic nylon connector mold and a composite runner, the mold is divided into a fixed mold area, a movable mold area, a mold cavity area, a mold core area and a pouring gate area, and each area is provided with an independent temperature control loop. According to different requirements of the mold filling state and the cooling stage of nylon materials, the temperature of each area of the mold is dynamically adjusted, the mold temperature is properly increased in the initial mold filling stage, a cavity is rapidly filled with melt, and along with mold filling, the mold temperature is gradually reduced, and melt cooling and crystallization are accelerated. According to the temperature control forming process of the photovoltaic nylon connector mold and the composite runner, the phase change energy storage material is embedded in the fixed mold area of the mold, and the heat absorption and release characteristics of the phase change energy storage material during phase change are used for assisting temperature control, so that the problem of embrittlement or insufficient strength caused by non-uniform crystallization of a product in a traditional process is solved; and the photovoltaic connector is ensured to have good mechanical property and weather resistance in long-term use.

The present invention discloses an anti-condensation hot runner injection mold, comprising a swirl tube, a heating ring seat and a flow-aiding tube. A swirl channel and a filling port are provided inside the swirl tube, and the liquid flow is guided by a rotating moving guide bucket to ensure that the molten plastic is evenly heated during the flow process and to prevent the occurrence of condensation. A heating coil is provided in the heating ring seat, and the temperature is controlled by a constant temperature control module to ensure the temperature stability of the hot runner. The flow-aiding tube further heats the liquid flow through a plurality of axially arranged electric heating rings, thereby improving the temperature uniformity of the liquid flow and avoiding local condensation. By adopting a precise temperature control system, innovative flow control technology and hot runner design, the structural design of the swirl channel and the moving guide bucket of the present invention increases the flow efficiency of the liquid flow, and through the diversion and confluence mechanism of the Tesla valve structure, the flow performance of the liquid flow is improved, the molding efficiency is effectively improved, the waste is reduced, and the energy consumption in the injection molding process is optimized.