173 results about "Tool wear" patented technology

This invention provides a high-precision punching mechanism, including a tool clamping assembly and a tool changing mechanism. The tool clamping assembly includes an adjusting base, a connecting seat, a tool holder, a punching head, a drive block, a compression spring, an adjusting screw, and a locking screw. The tool changing mechanism includes a mounting plate, a tool holder, a rotating block, a rotation drive assembly, a lifting drive assembly, and a tool holder assembly. The compression spring corresponds to the mounting cavity, and its left and right ends are respectively fixed to the left ends of the adjusting base and the drive block. The adjusting screw is threaded to the right end of the adjusting base, and its left end corresponds to the mounting cavity and contacts the right end of the drive block. The locking screw is threaded to the adjusting base, and its inner end abuts against the outer end face of the tool holder. Its advantages are: after the tool wears out, it is not necessary to replace the entire tool; the extension length can be controlled by fine-tuning the punching head, thereby enabling continued use, reducing manufacturing costs, and facilitating daily calibration of the tool head.

An example wear detection system (110) receives a left image (510) and a right image (520) of a bucket (120) of a work machine (100) having at least one ground engaging tool (GET) (125). An example system identifies a first region of interest (550) corresponding to the GET from the left image and a second region of interest (560) corresponding to the GET from the right image. The example system also generates a left edge digital image (740) corresponding to the first region of interest and a right edge digital image (750) corresponding to the second region of interest. Further, the example system determines a sparse stereo disparity (760) between the left edge digital image and the right edge digital image, determines measurement data related to the GET, and determines a wear level or loss of the at least one GET also based on the measurement data.

This invention discloses a novel combined microwave-drilling device for hard rock, belonging to the field of rock breaking technology. It includes a ground control system and a microwave generator. One end of the ground control system is connected to the microwave generator; a power box is connected to the bottom of the microwave generator, and a rock-breaking motor is installed inside the power box. The drilling tool of this invention consists of a pre-drilling small drill bit and a reaming large drill bit. The pre-drilling small drill bit acts as a pilot tool, drilling a guide hole on the rock surface through high-speed rotation. Simultaneously, it utilizes the local high stress concentration effect of its cutting edge to pre-damage the rock mass surrounding the hole wall, forming a micro-crack network, significantly reducing the integrity and strength of the rock mass. The reaming large drill bit efficiently enlarges the drilling cross-section of the weakened rock mass. Through the synergistic effect of mechanical fracturing and microwave thermal assistance, the drilling cross-section is rapidly enlarged, while reducing energy loss and tool wear during pure mechanical drilling.

The application discloses an overflow brick and a processing method of a weir top of the overflow brick, and belongs to the technical field of overflow brick processing and manufacturing. The processing method of the weir top of the overflow brick is characterized in that the overflow brick is vertically clamped, and then independent partition processing is performed on each side weir top, so that the empty walking stroke is reduced, the single-time cutting time is reduced, the tool wear is reduced, and the processing efficiency and the economy of the weir top of the overflow brick are improved. Specifically, the tool cuts from a small end of a side weir top slope, and after completing all processing in the side area through one-side reciprocating tool walking, the tool is withdrawn, and then is moved to the other side to repeat the operation. The processing path is optimized from the root, so that the entire movement track of the tool completely avoids the middle groove area, the invalid empty walking stroke is completely reduced to zero, the processing time is reduced under the premise of ensuring the processing quality, the single-time tool continuous cutting time is reduced, the tool surface wear amount is reduced, and the service life of the tool is prolonged.

This invention discloses a method for analyzing the wear of micro-milling tools, relating to the fields of wear mechanism research and molecular dynamics analysis in micro-milling. Specifically, it includes: constructing atomic models of the tool and workpiece, incorporating the geometric features of the cutting edge arc; setting up a simulation environment and dividing the workpiece atoms into boundary layers, isothermal layers, and Newtonian layers; assigning potential functions to the atoms and performing energy minimization and relaxation; constructing a dimensionless scale ratio loading condition based on the equivalent uncut thickness and the cutting edge arc radius; extracting the mechanothermal process quantities and quantitatively characterizing the wear state according to the number of detached atoms, the change in effective cutting edge radius, and interface mixing indices. The aim is to achieve atomic-level quantitative characterization of the wear process of micro-milling tools.

Novel hybrid tunnel boring methods, systems, and apparatuses are described. Example hybrid methods integrate (a) thermal processing, e.g., preconditioning and / or thermal spallation (which may be used as pre-treatment), and (b) mechanical processing while boring tunnels in rock and other formations. Thermal processing and mechanical processing may be used alternatively or simultaneously. For example, the preconditioning may use thermal energy to induce thermal shock and weaken the rock (e.g., cause expansion stress, micro-fractures, thermal spallation, etc.). This preconditioning changes the relevant properties of the rock relative to the additional (e.g., mechanical) excavation, including, among other things, effective compressive stress, abrasion properties, and hardness. This preconditioned rock can therefore be efficiently removed using mechanical drilling tools, resulting in, for example, faster boring speeds, reduced tool wear, enhanced precision, and longer deployment lengths (e.g., in comparison to conventional TBM and especially MTBM approaches).

The present application relates to resource scheduling technical field, specifically to a kind of intelligent manufacturing platform production resource scheduling method and system, method includes the following steps, in five-axis machining center idle waiting period analysis equipment operation record, obtain spindle cumulative running time, calibration interval, coolant ratio and tool cutting mileage form equipment state characteristics, receive after extracting process requirement and risk weight form sensitivity parameter set after waiting to transfer task, calculate task equipment quality risk index, filter idle equipment below threshold and issue scheduling instruction.In the present application, by the joint quantification of equipment state and task sensitivity, the spindle thermal deformation, coolant ratio deviation and tool wear are included in the task transfer risk judgment, which changes the replacement equipment selection from static capability matching to quality risk matching, avoids the state mismatch causing processing precision drift and surface quality decline, reduces the rework scrap rate, reduces the plan disturbance, improves the scheduling decision accuracy and production continuity.

The application discloses a high-precision coordinate boring machine tool wear intelligent prediction method, and relates to the technical field of cutting tools, which comprises the following steps: step one, equipment building: determining sensor arrangement and communication scheme, and completing data acquisition system building according to the same; step two, testing: performing milling processing experiment, collecting machine tool vibration signals, measuring tool flank wear width and workpiece surface roughness, and establishing a tool wear prediction model according to the same; and step three, using: inputting the collected machine tool vibration signals in the processing process into the model, so that the current tool wear degree can be judged according to the actual vibration signals, and whether the tool needs to be replaced in time can be judged. The application identifies the vibration signal characteristics of the high-precision coordinate boring machine, can effectively improve the prediction accuracy, judges whether the tool wear degree prediction value meets the requirements, and thus prompts the engineers to replace the tool, so that the processing requirements are met.

This invention discloses an intensive reverse borehole reaming construction method and equipment, relating to the field of underground engineering construction technology. The core of this method lies in innovating the traditional full-face rock breaking into a two-step process of "peripheral annular cutting + central hydraulic crushing": first, the roller cutter on the reaming drill bit cuts an annular groove in the rock strata, retaining a cylindrical central rock core; then, the hydraulic crushing device integrated into the reaming drill bit directly squeezes or impacts the central rock core, causing it to break and fall off entirely. This invention significantly reduces the rock breaking area and the number of roller cutters, significantly improving drilling efficiency and reducing energy consumption and tool wear. The corresponding equipment includes a drilling rig, drill rod, reaming drill bit, hydraulic power unit system, and an optional clamping and pressing device.

This invention relates to the field of cutting fluids, particularly to a biomimetic self-healing nanocomposite cutting fluid and its preparation method. The cutting fluid is composed of the following components by mass percentage: 5-10% lubricant, 2-5% extreme pressure anti-wear agent, 0.1-2% nanofunctional agent, 1-3% surfactant, 1-2% corrosion inhibitor, 0.5-1.5% pH stabilizer, 0.1-0.5% defoamer, 0.1-0.5% corrosion inhibitor, and the remainder being deionized water. This invention creatively introduces nanofunctional agents such as MXene and nanodiamond. These nanomaterials can form a high-strength, low-friction penetrating layer and repair film on the tool surface. During cutting, they actively fill the microscopic defects caused by tool wear, thereby achieving a "self-healing" effect. This characteristic can significantly reduce the coefficient of friction and cutting force between the tool and the workpiece, and tests have shown that it can extend tool life by more than 50%.

This invention relates to the field of intelligent visual inspection technology, specifically to a visual recognition system for the wear state of cutting tools on machined parts. The system includes a liquid film interference suppression module, a multi-scale tool segmentation module, a wear feature generation module, a machining parameter acquisition module, an adaptive decision-making module, and a visualization output module. Specifically: the liquid film interference suppression module generates a liquid film interference-suppressed image; the multi-scale tool segmentation module outputs a tool body mask; the wear feature generation module calculates the cutting edge defect rate and surface mottledness, and generates a tool wear index; the machining parameter acquisition module acquires machine tool machining parameters; and the adaptive decision-making module outputs the wear level through a working condition matching decision tree. This invention, by fusing image feature extraction and working condition parameter determination, achieves accurate identification and visualization output of tool wear state, improving the efficiency of intelligent monitoring and decision-making in complex machining scenarios.

This application belongs to the field of intelligent manufacturing technology, specifically relating to a method and system for predicting and generating maintenance suggestions for metal tool wear. It aims to solve the problems of low accuracy in tool wear prediction and delayed maintenance decisions. The method includes: constructing a multi-source physical feature sensing system to collect and align multi-dimensional signals during the machining process in real time; performing heterogeneous data preprocessing and feature enhancement, and filtering noise using adaptive wavelet packet decomposition; extracting multi-dimensional quantitative indicators and selecting a subset of core features; constructing a prediction model that integrates a deep residual network, a bidirectional long short-term memory network, and an attention mechanism to output the real-time wear level and remaining useful life; this application achieves accurate capture of wear status and optimized scheduling of maintenance resources through multi-source data fusion and deep learning evolutionary analysis, thereby improving machining quality and reducing unplanned downtime.

The utility model discloses a kind of round nose coating knives of two-way chip removal passage, including supporting seat, milling rod, driving mechanism and reset mechanism, milling rod is slidably connected on supporting seat, and with supporting seat rotationally connected, and it is provided with round nose cutter bar on one end of milling rod located supporting seat outside, driving mechanism and reset mechanism are all arranged in supporting seat.The beneficial effects of the utility model are: in the utility model, by integrating driving mechanism and reset mechanism in supporting seat, the tool is simultaneously realized high-speed rotation and axial small-range reciprocating motion in the processing process, without relying on external cylinder or workpiece rotation, burr elimination and surface finishing can be completed, and by the combination of different number of teeth first driving gear, first driven gear, and second driving gear and second driven gear, the synergic control of cutting speed and feed rate is optimized, to ensure that the cutting depth of the tool is stable in the linkage process, reduce the vibration and tool wear caused by motion superposition.

The present application relates to a kind of gear forming tool wear online compensation and life prediction method and system, by constructing the multi-dimensional digital twin mechanism model of gear forming tool, real-time acquisition multi-source sensing signal, extract dominant feature and with implicit feature and mechanism parameter coding vector fusion;Again based on the fusion feature construction graph neural network classification model, realize the online accurate discrimination of tool wear grade;Using reinforcement learning algorithm trains optimal compensation strategy, real-time adjustment processing parameter, forms " prediction-compensation-feedback " closed loop control;Establish the residual life prediction method of multi-model integration, and realize intelligent tool change decision optimization based on prediction result.The present application realizes the integrated management of gear forming tool wear feature extraction, condition monitoring, dynamic compensation and life prediction, improves the intelligent level of gear machining process and tool life.

This invention discloses an online tool health monitoring method and system based on workpiece machining quality data fusion. First, the deviation between the actual groove width and the standard groove width of the workpiece is calculated, constructing a time-series sequence of groove width deviation. Then, a sliding time window mechanism is used to dynamically extract multi-dimensional time-series features, including mean, standard deviation, slope, out-of-tolerance count, and previous values, comprehensively characterizing the nonlinear evolution trend during tool wear. Further, the fused feature vector can be input into a random forest regression model to achieve high-precision prediction of the current groove width. Finally, based on the deviation between the predicted groove width and the standard groove width, the tool degradation state is evaluated in real time. This invention directly utilizes groove width data from the machining process, eliminating the need for additional sensor deployment. It offers advantages such as low cost, high reliability, and strong real-time performance, reducing scrap rate and improving tool life without increasing hardware investment.

This invention discloses an integrated processing device for drilling and grinding the inner wall of an oil well casing head, including a casing head and its internal support arm. A locking part is provided on the rack plate. When the rack plate moves upward, it drives the gear, one-way bearing, and switching shaft to rotate, swapping the positions of the drill bit and grinding head, locking the locking part and locking the switching shaft. When the rack plate moves downward, the locking part is unlocked, and the switching shaft is not locked. This invention can simultaneously perform diameter expansion and grinding on the inner side of the casing head, avoiding problems such as increased metal hardness and oxide layer adhesion caused by traditional cooling operations. It reduces grinding difficulty and tool wear, improves hole wall smoothness, and ensures subsequent sealing performance and assembly accuracy. Furthermore, it features two processing structures, enabling simultaneous processing of inner wall holes. Different processing requirements can be met by individually controlling an electric push rod, utilizing residual heat for grinding, improving efficiency and cleanliness.

A cutting device for machining mechanical parts, belonging to the field of parts cutting technology, addresses the problem that existing technologies may not effectively handle uneven material density, leading to vibrations during cutting and affecting cutting accuracy. The invention includes a cutting machine body with a drive disk assembly fixedly connected to it. A shearing disk assembly is coaxially arranged with the drive disk assembly and is drively connected to it. A torque sensor is fixedly connected to the cutting machine body. This invention uses the torque sensor to monitor torque fluctuations in the drive disk assembly in real time. Combined with the linkage between the hydraulic cooling drive assembly and the radial movement assembly, the radial position of the shearing disk assembly is automatically adjusted when cutting to different density critical areas, effectively reducing cutting vibrations or tool wear caused by uneven material density, and improving cutting accuracy and stability.

The utility model discloses a gear shaft deep hole processing tool, concretely relates to gear shaft processing technical field, including handle, the one side fixed setting of handle has the tool shank, the one side fixed setting of tool shank has the tool head, the inside setting of tool shank has cooling mechanism, and cooling mechanism includes the hollow slot of setting in the inside of tool shank, the inside fixed setting of hollow slot has cooling liquid pipe, and the cross section of cooling liquid pipe sets up as L shape, and the one end of cooling liquid pipe is through tool head and extends to the inside of tool head, and the surface of cooling liquid pipe sets up a plurality of cooling liquid mouth, and the one end fixed setting of tool head has cutting edge. In the utility model, the cooling liquid can be accurately sprayed to the cutting edge, the cutting heat is quickly taken away, the tool wear is effectively reduced in time, the service life of tool is prolonged, the processing cost is reduced, and the economic benefit and processing quality of gear shaft deep hole processing are improved.

This invention relates to the field of bar cutting technology and discloses a stainless steel bar cutting device. Cutting fluid sprayed from a nozzle impacts long, coiled chips, causing them to sway towards a rotating roller. A chip-winding column captures and wraps the long, coiled chips around the surface of the rotating roller, effectively cleaning the long, coiled chips around the cutter head. Cutting blades one and two work together to form a shearing structure that cuts the long, coiled chips into shorter chips. These shorter chips can detach autonomously from the surface of the rotating roller, preventing excessive accumulation of chips and ensuring the rotating roller's continuous capture of long, coiled chips. This avoids long, fibrous chips entangled around the cutter head, worsening heat dissipation conditions and improving the cutting quality of the bar surface. This invention solves the problems of ineffective chip breaking and orderly chip removal during the turning of stainless steel bars, which leads to long, coiled chips entangled around the tool forming chip nodules, hard, long, fibrous chips being thrown onto the machined surface causing scratches, and accelerated tool wear and failure.

The application provides a method and a die for realizing heading forming of a fastener head structure, and comprises the following steps: adopting the die to perform one-time heading on the fastener head structure to obtain a rough heading head type; and adopting the die to perform two-time heading on the rough heading head type to obtain a fine heading head type.The application has the beneficial effects that: the product size consistency is good; the new forming method is adopted, the product head type is replaced by heading instead of turning, the influences of unstable clamping, tool wear and unstable personnel operation during turning are avoided, the product processing process is stable, and the size consistency is good; the material utilization rate is high; the product head type is replaced by heading instead of turning, the head type size is directly formed by heading, the original turning head type condition is avoided, and the material utilization rate is improved from less than 80% to 100%.

The present application belongs to the technical field of mechanical cutting tool manufacturing, and particularly relates to a micro-textured tool based on laser micro-cladding in-situ forming, a preparation method and application thereof. Specifically, the present application successfully prepares a multi-layer coated tool with a micro-textured morphology. The tool has the advantages of micro-texture, laser cladding layer and multi-layer coating structure, and has high hardness, good self-lubricating performance, good toughness, strong coating adhesion and small internal stress of the coating, and will not produce defects such as deformation or micro-cracks of the tool substrate material. In the cutting process, the tool can effectively reduce the cutting force and cutting temperature, reduce tool wear and improve tool life, and can be widely applied to dry cutting and cutting of difficult-to-machine materials, and therefore has good practical application value.

The application discloses a cutting device for edge-shaped resin spectacle lenses and a cutting method thereof, comprising an edge grinding machine, the edge grinding machine is provided with a cutting tool for cutting the edge of the resin lens, the edge structure of the cutting tool is matched with the edge structure of the resin lens, and the mounting interface of the cutting tool is consistent with the tool interface of the edge grinding machine; the application directly uses the traditional lens edge grinding machine, does not need to purchase expensive five-axis numerical control equipment, and can seamlessly integrate the optical parameter setting function of the original equipment, thereby guaranteeing the optical quality and reducing the equipment investment and tool wear cost; by replacing different special forming tools, various personalized and customized special-shaped edge requirements, including steps, sharp edges, grooves, inclined surfaces and combinations thereof, can be flexibly coped with.

The application discloses an automatic machining method and system for a compressor support based on multiple constraint conditions, which decomposes machining procedures of workpieces, sets machining procedure queues of machine tools for each machine tool and sets workpiece procedure queue sets for each workpiece in the system, calculates predicted completion times of each machine tool through related parameters such as machining procedure standard processing times of each machine tool, tool wear coefficients, tool health degree thresholds and procedure completion quantities, and dynamically allocates machining tasks through the predicted completion times and each threshold, so that the work load between each machine tool is balanced, the single device congestion or idle phenomenon is effectively avoided, compared with traditional serial machining or parallel machining of full machining procedures of a single work station, the application constructs an efficient machining mode, significantly shortens a production cycle, improves production efficiency, equipment utilization and reduces production cost.