898 results about "Workmanship" patented technology

The invention relates to the field of milling, in particular to a modeling method and system for a morphology model of a milling surface, and the method comprises the steps of data collection, data preprocessing, feature extraction, model construction and model verification and optimization. According to the modeling method and system, various actual factors in milling are fully considered, including tool abrasion, cutting force vibration, workpiece material non-uniformity and the like, the fitting degree of the model and the actual milling surface appearance is improved, and the microscopic geometrical characteristics of the machining surface can be reflected more accurately; a machine learning algorithm is adopted to construct a model, so that a complex milling process parameter combination relationship can be flexibly processed, the applicability and accuracy of the model under different milling process parameters are improved, and accurate evaluation of part performance and optimization of a machining process are facilitated; the system is complete in structure, all the modules are clear in division of labor, and the construction, verification and optimization process of the morphology model of the milling surface can be efficiently achieved.

The invention provides a mold machining deviation dynamic correction method, system and equipment based on real-time monitoring, and relates to the technical field of industrial machining control. The method comprises the steps that a target machining plan of a target mold is read; performing collaborative analysis on the target design parameters and the target process requirements to obtain a real-time workpiece preset model; dynamically monitoring the machining process of the target mold; according to the real-time state parameters of the target mold, a real-time workpiece actual model is constructed; comparing the real-time workpiece actual model with a real-time workpiece preset model to obtain a model comparison deviation; performing correction optimization to obtain an optimal correction strategy; and carrying out dynamic processing correction on the target mold. According to the method and the device, the technical problem that the machining precision and the quality of the mold are affected due to the fact that the dynamic error is difficult to accurately recognize because the preset model is difficult to capture and correct the dynamic change generated in the machining process in time is solved, and the machining precision and the quality of the mold are improved by recognizing the dynamic error and determining the optimal correction strategy.

The invention relates to the technical field of numerical control machine tools, in particular to a numerical control machine tool digital twin model updating method and system. The method comprises the following steps: acquiring actual processing technology data; performing cutting process simulation according to the actual machining process data and the digital twin model of the numerical control machine tool to obtain cutting process data; performing tool wear state feature analysis on the cutting process data to obtain tool wear state data; updating a tool model according to the tool wear state data to obtain an updated tool model; according to the updated cutter model, dynamic contact state solving is carried out, and a dynamic contact solving result is obtained; and performing contact key data analysis on a dynamic contact solving result to obtain cutter-workpiece dynamic contact information. According to the method, the modeling precision and the simulation reliability are greatly improved, so that the digital twin model can reflect complex processing conditions more truly, and a reliable decision basis is provided for process optimization.

The H-shaped steel post-process production line comprises a temporary storage station, an assembly station, a transfer system, a welding station and a cleaning and grinding system, H-shaped steel is taken out from the temporary storage station, transported to the assembly station through the transfer system, assembled and spliced manually, and transported to the welding station through the transfer system after being spliced; the whole production line is controlled in a coordinated mode through a production line master controller, signal exchange between the transfer conveying device and all the stations is achieved, automatic feeding and discharging of the components are completed, the conveying efficiency is improved, the safety of the production line is improved, and the production line is suitable for machining large-batch open type H-shaped steel beams. The production flow of the whole process is stable, the consistency of products is improved, and the requirement of dynamic production line assembly on the professional skill level of workers is reduced; welding workers are replaced by robot welding, the requirement for station workers is low, and meanwhile the cleaning and grinding workload is greatly reduced.

The invention discloses a Solidworks model-based machining program generation method and system, and belongs to the technical field of computer-aided manufacturing, and the method comprises the steps: S1, analyzing the modeling features of each part in a Solidworks model, carrying out the matching analysis of the modeling feature sketch contour and sketch plane normal vector with a feature library, obtaining a machining feature category, and carrying out the recognition of the machining feature category; performing feature grouping according to the processing feature category and the processing direction; s2, identifying and extracting the part size and tolerance marked in the sketch; s3, analyzing a part machining process based on the machining feature category, the part size and the tolerance; s4, the blank type, machining allowance distribution, machining steps and a clamping mode are determined; s5, the three-dimensional space coordinates of the machining contour are converted into machine tool machining coordinates, and machining information is sequenced; s6, the machining path of the part machining technology is calculated; and S7, according to the machining path, combining with an instruction supported by a specific machine tool, performing post-processing to generate a G code.

The invention relates to an intelligent avoiding control method for machining of a numerical control flanging machine. Comprising the following steps that before machining, a correct machining program is compiled on a human-computer interface according to an actual workpiece drawing or a real object forming process; the numerical control system analyzes a machining program to obtain data necessary for a position avoiding algorithm, machining is started, and in a bending forming rectangular coordinate system, pole coordinate values of a current forming shape are automatically calculated in real time; in the continuous machining process, the target positions and the action time sequence of a feeding shaft, a pressing shaft and an edge folding shaft of the edge folding machine in the next step are correctly adjusted, so that a workpiece and an edge folding machine die are prevented from interfering and colliding, and meanwhile set process actions are completed. According to the control method and the numerical control system, the forming shape and related coordinate data of the workpiece can be obtained in real time, the mutual positions of the workpiece, the machine tool moving part and the mold are adjusted in time through the process control instruction, and interference and collision of the workpiece, the machine tool and the mold are correctly avoided.

The invention relates to an automobile body-in-white welding process planning method, which comprises the following steps of: performing data acquisition through terminal equipment, collecting welding process data in a welding process, and monitoring the running state of a welding robot in real time; edge computing nodes are arranged on a welding site and are responsible for preprocessing collected welding process data and extracting knowledge in real time; the cloud constructs a welding process knowledge graph according to the existing enterprise historical data and the welding process data extracted by the edge end knowledge; and after the cloud establishes a welding process knowledge graph, optimizing body-in-white welding process parameters and carrying out optimization solution on a body-in-white welding path and a body-in-white welding spot welding sequence on the basis of an improved artificial neural network-based automobile body-in-white welding process planning method. The method can adapt to different welding scenes and requirements, the method can adapt to shapes and materials of different workpieces, and efficient and accurate welding is achieved.

The invention provides a workpiece machining path compensation method and system based on multi-vision cooperative localization, and relates to the technical field of workpiece machining.The method comprises the steps that a compensation reference coordinate system of a workpiece machining path is established; determining a theoretical machining path of the workpiece according to the CAD model and the process planning of the workpiece, and mapping the theoretical machining path to the compensation reference coordinate system; performing global coarse compensation on the theoretical processing path to generate a global compensation amount and a global compensation path; performing local compensation on the global compensation path according to the local point cloud to obtain a local compensation amount and a local compensation path; according to the cutting parameters of the workpiece, the local compensation path is subjected to flexibility compensation, and the flexibility compensation amount is obtained; under the compensation reference coordinate system, compensation quantity fusion is carried out on the global compensation quantity, the local compensation quantity and the flexibility compensation quantity, and a final compensation path is generated; and executing the final compensation path. According to the method, the execution precision and stability of the machining path and the adaptability to complex machining working conditions are remarkably improved.

The invention relates to the technical field of compound machine tools, and discloses a variable working condition tool wear prediction method based on a compound machine tool, which comprises the following steps: s1, collecting dynamic signals and acquiring process parameters; s2, constructing a tool wear prediction model; and s3, multi-task training of the meta learning framework: obtaining updated Wy and by through meta learning. And deploying the tool wear prediction model in an actual machining system of the compound machine tool, and quickly outputting a tool wear prediction value at the current moment according to the received dynamic signal and process parameters. The method has the beneficial effects that the machine tool does not need to be shut down and the tool wear prediction accuracy is high.

The invention discloses a machining method of an eccentric mandrel, and belongs to the technical field of machining. The machining method comprises the machining steps that firstly, a certain process length is reserved for the two ends of a blanked blank; 2, roughly turning reference outer circles at two ends of the blank, and reserving process steps on the outer circle of the middle section of the blank; step 3, milling reference flat parts on the reference excircles at the two ends of the workpiece, and milling symmetrical key grooves on process steps; fourthly, an eccentric hole is drilled in the end face of the workpiece, and a small outer circle corresponding to the eccentric reference is milled; step 5, carrying out top turning on reference small outer circles at the two ends; sixthly, the process step of the workpiece is sleeved with an eccentric sleeve clamp, the eccentric sleeve clamp is supported by a center frame, an inner hole is machined in the eccentric hole, and the inner hole is coaxial with the small outer circles at the two ends and eccentric with the large outer circle; and seventhly, the reserved process length and process steps of the workpiece are removed through finish machining. When a long-shaft eccentric inner hole is machined, clamping and dismounting can be conveniently and rapidly achieved, and damage to a machine tool spindle can be reduced to a certain degree.

The invention relates to a production line balance analysis method for assisting process route design, which belongs to the field of intelligent production, and comprises the following steps: after the process route design is completed, carrying out production line balance analysis, namely carrying out complex calculation on working hour information under the process route, and combining an actual production takt to obtain a production line balance analysis result; after the number of the required working steps and the required loading materials under the working steps are calculated, a columnar stacking map of the working steps and the loading material working hours is generated on the basis of the given actual production line balance rate, the bottleneck working procedures can be obviously found, and the working step resources under the bottleneck working procedures are optimally distributed by adjusting the number of the working steps under the bottleneck working procedures and the loading materials, so that the working efficiency of the bottleneck working procedures is improved. And reasonable design of a process route is completed. According to the method, the quality and one-time success rate of process route design are greatly improved.

The invention discloses a novel quenching process of a 60CrMnMo material roller shaft, and relates to the field of quenching and tempering heat treatment of a 60CrMnMo mechanical forge piece, and the novel quenching process adopts an inorganic quenching medium polyalkylene glycol, PAG for short; the novel quenching process comprises the following steps: a preliminary temperature rise stage: heating a workpiece in a furnace, raising the temperature of the workpiece to 650 DEG C, and keeping the temperature; in the rapid heating stage, the workpiece is heated, the temperature of the workpiece is increased to 860 DEG C, and heat preservation is conducted; in the cooling stage, the temperature of the workpiece is reduced to 840 DEG C and kept; in the quenching stage, the workpiece is discharged for quenching; in the cooling stage, after quenching is completed, the workpiece is cooled to the room temperature; flaw detection; in the tempering stage, the workpiece is heated to 420 DEG C for the first time and subjected to heat preservation for the first time, and after the heat preservation time is over, the workpiece is heated to 590 DEG C for the second time and subjected to heat preservation for the second time; and discharging the workpiece and naturally air-cooling to room temperature.

The invention discloses a turning machine tool and a turning method, and belongs to the technical field of machining. The workpiece main shaft is connected to the Z-axis guide rail in a sliding mode, and the Z-axis guide rail is fixed to the lathe bed; a rotary carriage and an X-axis guide rail; the X-axis machining tool is connected to the X-axis guide rail in a sliding mode; the rotation center line of the workpiece spindle and the rotation center line of the rotary table are perpendicular and coplanar, the X axis deviates from the rotation center line of the rotary table, and the included angle between the Z axis and the X axis is adjusted by rotating the rotation carriage along the B axis. The turning method comprises the steps that the X-axis and the Z-axis are turned at a fixed angle, the B-axis is located at a fixed position, or the X-axis, the Z-axis and the B-axis are turned in a linkage mode. Multi-axis linkage can be carried out, the spatial position of a tool nose tool is accurately calibrated, high precision and high quality of special-shaped surface machining are ensured, the special-shaped surface machining device is suitable for multi-configuration feature machining of special-shaped surfaces, and high-precision cutting under various process requirements of curved surface turning, milling and the like is achieved.

The utility model relates to the technical field of tool grinding machines, in particular to a tool grinding machine facilitating online replacement of a grinding wheel, which comprises a machine body, a working turntable, a clamping spindle, a mounting seat, a supporting seat and a spare grinding wheel component. A clamping main shaft for driving a tool to rotate is fixedly mounted on the upper side of the working turntable; and a second sliding table capable of moving the mounting seat up and down and left and right is mounted on the upper side of the rear part of the lathe bed. The grinding wheel replacing device is reasonable and compact in structure, grinding wheels can be automatically replaced according to the grinding process, the grinding requirements of various tools can be met, grinding wheels or grinding wheel combinations of various specifications can be prepared according to the grinding process before the tools are ground, the time for manually replacing the grinding wheels is shortened, and the grinding efficiency is improved. Safety risks existing in the process of manually replacing the grinding wheel are reduced, meanwhile, accurate matching can be achieved in the process of replacing the grinding wheel of the tool grinding machine, and therefore errors of a grinding tool are reduced, and grinding quality is improved.

The present application discloses a method and device, medium, and terminal for determining process parameters of a thin strip continuous casting machine, relating to the field of casting technology. The main purpose is to solve the problems of increased risk of operation errors caused by manual adjustment of the casting machine process parameters in the prior art, as well as the situation of untimely adjustment, which may lead to a decline in product quality. It includes: pre-constructing a full-coupling model of the process parameters of the thin strip continuous casting machine, determining the process parameters required for controlling the casting machine according to the full-coupling model of the process parameters of the thin strip continuous casting machine, and determining the initial value of the process parameters of the casting machine for this casting by optimizing from the process parameters recorded in the historical casting production data. Then, according to the periodic production data of the stable state period and the full-coupling model of the process parameters of the thin strip continuous casting machine, calculate the correction value of the solidification parameter, the correction value of the rolling parameter, the set casting and rolling force, and the set drawing speed, and adjust the initial value of the process parameters of the casting machine based on the above parameters.

The invention relates to the technical field of factory visualization, in particular to an intelligent factory production visualization method and system based on digital twinning, and aims to automatically construct a three-dimensional space model of factory production line layout and equipment structure by fusing laser point cloud and image data and replace manual labeling to realize digital reconstruction of a physical workshop. A deep learning model is utilized to analyze product paths and state changes, exposed nodes are identified, associated equipment is reasoned, intelligent division of the equipment is completed, and manual modeling work is reduced. The behavior rhythm characteristics of the operation parameters are extracted and compared with the historical modes of the equipment sub-models, the rhythm similarity matrix is automatically constructed, the parameter binding relation is determined, and tedious manual configuration is avoided. The scheme has good flexibility and self-adaptive ability, the model can be quickly updated after process change or equipment replacement, it is guaranteed that the digital twin system is synchronous with the actual factory state, and efficient deployment and visual updating are achieved.

A cycloidal gear machining method based on a worm grinding wheel gear grinding machine. A cycloidal gear is machined in a worm grinding wheel grinding manner, achieving continuous and stable gear grinding machining. A dresser (4) and a workpiece rotary table (5) are integrated on a large rotary table (2), so that a machine tool can quickly switch between two working states, i.e., gear grinding and grinding wheel dressing, improving the working efficiency of the worm grinding wheel gear grinding machine. A workpiece pressing frame (12) is used for fixing a workpiece or disassembling the workpiece, improving the efficiency of clamping and disassembling the workpiece. A three-degree-of-freedom diagonal gear grinding scheme and a machining process grading method are combined, improving an axial traverse method of a grinding wheel: using a grinding wheel tooth surface used in a finish machining stage to perform rough machining on a gear machined next time, improving the utilization rate of the grinding wheel, and reducing the dressing frequency of the grinding wheel. A machining error is adjusted by adjusting machining parameters of the machine tool, achieving the adjustability of the error.

The invention discloses a mirror surface machining method and a workpiece formed by the mirror surface machining method. The mirror surface machining method comprises the steps that a to-be-machined workpiece with the needed size is selected; a workpiece to be machined is clamped on a machining machine table; a first milling cutter is selected to conduct semi-finish machining on the shape and size of the workpiece to the needed standard size, and then a second milling cutter and a cutter path are adopted to directly cut the machining face of the workpiece through the mirror face machining technology; the workpiece is cooled while being milled, so that the situation that the temperature is too high in the milling process, tool deformation is caused, and cuttings adhere to the tool is prevented; the mirror surface machining method has the beneficial effects that the numerical control machine is used for milling the workpiece through the mirror surface machining method by adopting a special tool and a tool path, so that the finish degree of the machined surface of the workpiece can be improved by more than three levels (the roughness Ra value can reach below 0.2 mu m), and the machining precision of the workpiece is improved by more than three levels (the roughness Ra value can reach below 0.2 mu m). And the surface micro-hardness of the workpiece is improved by more than 10%, and the surface wear resistance and corrosion resistance of the workpiece are greatly improved.

The present invention provides a workshop scheduling method, device and equipment, which relate to the field of manufacturing technology. The workshop scheduling method includes: obtaining a process set corresponding to an order; determining the number of batches included in each process and the arrangement quantity corresponding to each batch according to the process set; searching the process path sequence corresponding to the order using an ant algorithm to obtain a scheduling result sequence corresponding to the order; wherein the process path sequence is determined according to the number of batches included in each process and the process route constraints; and selecting the optimal scheduling result in the scheduling result sequence. The scheme of the present invention is based on the flow rules between processes, realizes the dynamic batching of order processes, forms a more refined scheduling result, and can provide guidance for workshop scheduling personnel when performing job planning and production scheduling.

The invention relates to the technical field of ship manufacturing, and discloses a rapid manufacturing method for ship segments. The method comprises the following steps: S1, carrying out module division according to ship body design requirements, and dividing a ship body into a plurality of sections through a modular design method; s2, establishing a segmented digital twinborn model, wherein the digital twinborn model comprises segmented geometric information, structural stress information and process information; and S3, based on the digital twin model, performing segmented manufacturing, and performing module processing by using a numerical control cutting and self-adaptive welding technology. By adopting the multi-objective optimization technical scheme of module division, the technical effects of reasonable module division and reduced welding workload are achieved by dynamically optimizing the total length of the welding seam, the manufacturing complexity and the structural strength deviation. Compared with the problems that in the prior art, module division depends on artificial experience, the number of welding seams is large, and stress distribution is uneven, the defects that module division efficiency is low, and assembly errors are large are overcome.

The embodiment of the invention discloses a numerical control machine tool adjusting method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: collecting initial machine tool data of a numerical control machine tool through an edge gateway; workpieces produced by the numerical control machine tool are detected, and workpiece detection data are obtained; binding the initial machine tool data with the workpiece detection data to obtain workpiece production quality data; based on the standard workpiece data information, performing production quality evaluation on the workpiece production quality data to obtain a dimensional deviation ratio and a cutting stability index; in response to the situation that the size deviation ratio and / or the cutting stability index do not reach the preset standard value, correspondingly machined appliance parameter data are searched in a preset technology knowledge base; converting the appliance parameter data into a machine tool execution instruction; and writing into a control system of the numerical control machine tool to process the workpiece. According to the implementation mode, the numerical control machine tool can adjust the parameters in real time according to the quality of the workpiece, and the machining quality and the yield of the workpiece are improved.

The invention discloses a method for detecting tissue evolution in a heating process after quenching of tool steel based on saturation magnetization, resistivity and hardness, and relates to the technical field of metal material detection.The method comprises the steps that heating parameters are set for different types of tool steel, and an actual tempering process is simulated; then, the saturation magnetization intensity, the resistivity and the hardness are measured through professional equipment, and data are obtained through accurate measurement and scientific calculation; and then, sorting the data to establish a database, analyzing by using a multiple linear regression model, and judging an organization evolution stage according to a preset result range. According to the method, the structure evolution of the tool steel can be accurately and comprehensively monitored, the detection accuracy and scientificity are improved, powerful support is provided for quality control and process optimization in the tool steel production process, and the tool steel product performance and production efficiency are effectively improved.

In a grinding method for grinding a substantially planar workpiece surface of a workpiece, a grinding machine is used which has a grinding wheel with an abrasive side surface, wherein the grinding wheel can be rotated about a rotational axis by means of a rotational drive and can be fed by means of a feed drive in a feed direction oriented parallel to the rotational axis.To carry out a grinding operation, the workpiece is arranged in a working position, the grinding wheel is set in rotation about the axis of rotation, the abrasive side surface is brought into contact with the workpiece surface by feeding the grinding wheel; and the grinding wheel is fed from a starting position with workpiece contact to generate material removal according to a feed function. The feed of the grinding wheel takes place according to a workpiece-specific feed function depending on a material proportion curve, whereby the material proportion curve represents a distribution of workpiece material in a surface profile depending on a cutting depth measured parallel to the feed direction.

The invention discloses a gear machine tool expert system construction method based on a generative rule, and the method comprises the steps: firstly carrying out the multi-dimensional modeling of a gear and a machine tool through an object-oriented technology, enabling a gear model to distinguish the characteristics of an axis position, a tooth curve and the like through an interface, and enabling a machine tool model to distinguish the machining technology and the precision grade through an interface; secondly, establishing a generation type rule mapping system from geometric, precision, material and functional attributes of the gear to machine tool movement, precision, process and rigidity attributes; finally, an intelligent reasoning system including forward reasoning, reverse verification, conflict coordination and self-learning iteration is constructed, and automatic and accurate matching from gear design requirements to machine tool optimization configuration is achieved. According to the method, the problems of high subjectivity and low efficiency caused by dependence on expert experience in the prior art are solved, and knowledge-driven intelligent decision making is realized.

The invention discloses a high-precision carving machine motion control method based on Z-axis control, particularly relates to the field of high-precision carving machine motion control, solves the problems of carving precision and thermal management, and obtains a three-dimensional height model of a to-be-carved material and vibration and abrasion data in the carving process through high-resolution laser scanning and real-time monitoring. A relation model of image data and lettering parameters is constructed by utilizing a machine learning algorithm, and the adaptation degree of parameter combination is comprehensively evaluated in combination with a lettering surface roughness coefficient and a heat accumulation factor, so that intelligent and fine control of the lettering process is realized; the screened optimal parameter combination can ensure the smoothness and flatness of the lettering surface, effectively manage heat, reduce material deformation and tool abrasion, prolong the service life of tools, improve the production efficiency and product consistency, reduce unnecessary adjustment and rework, and remarkably improve the precision and stability of the lettering process.

Provided in the embodiments are a machining monitoring method, a machining monitoring apparatus, a computing device and a computer-readable storage medium. By acquiring first information of a first machining process in real time, retrieving a model in a model library on the basis of the first information, and matching a physical model having second information identical to the first information, the matched physical model characterizes a second relationship between material removal characteristics and specific cutting energy, thereby eliminating the influence of tool types and workpiece materials, and reflecting the machining characteristics of a second machining process; by comparing a first relationship with the second relationship, the differences between the first machining process and the second machining process are obtained to provide monitoring suggestions; and since the first relationship and the second relationship are acquired on the basis of the material removal characteristics and the specific cutting energy, and a monitoring threshold value is generated without using a signal strongly correlated with process conditions to perform learning, the method is well-suited for various machining scenarios.

The invention discloses a hot-rolled product steel grade design method based on a performance forecasting model, which comprises the following steps of: screening similar steel grades as reference steel grades according to target steel grades required by new users and historical production data, and optimizing components and processes of the reference steel grades by using the performance forecasting model. And components and process design values meeting the requirements of the target steel grade are obtained and used for supporting a product engineer to carry out new steel grade design work. According to the method, a stable and reliable performance forecasting model is established, a component, process and specification design scheme meeting the requirements of a new user is provided, the research and development period is effectively shortened, the research and development cost is effectively reduced, and therefore the technical competitiveness of an enterprise is improved.

The invention discloses a polishing process for a door plate of a control cabinet. The polishing process comprises the steps of abrasive paper mounting, parameter setting, workpiece checking and fixing, polishing track setting, polishing, cleaning and detecting. The grinding device has the advantages that the movement track is set for the grinding mechanical arm, the grinding machine arranged at the end of the grinding mechanical arm is used for grinding operation, physical strength expenditure of grinding operators is reduced, labor intensity is lowered, rough grinding, accurate grinding and polishing can be completed at a time through the grinding mechanical arm, working efficiency is improved, frequent equipment replacement is avoided, and production cost is reduced. In addition, a polishing worker does not need to hold a polishing machine to directly contact with a workpiece for polishing, suction of polishing dust is reduced, the probability of occupational diseases is reduced, standardization of polishing operation is guaranteed through a fixing tool, consistency of surface treatment of the door sheet is guaranteed, the whole process guarantees high efficiency, safety and standardization of production, product quality is improved, and the production cost is reduced. The cost is reduced.

The invention provides a tool wear monitoring method, device and equipment and a readable storage medium, and relates to the technical field of production and manufacturing, the tool wear monitoring method comprises the steps of obtaining cutting process parameters and surface roughness of a target workpiece when the target workpiece is machined by a target tool; the cutting process parameters and the surface roughness are input into the trained tool abrasion loss model, and the predicted tool abrasion loss output by the trained tool abrasion loss model is obtained; inputting the cutting process parameters and the predicted tool abrasion loss into the trained tool spindle power model to obtain a predicted spindle power value output by the trained tool spindle power model; and obtaining a tool wear monitoring result of the target tool according to a comparison relationship between the predicted spindle power value and the real-time spindle power value. According to the scheme, the tool wear state can be monitored in real time in the actual machining process, the actual machining process is not hindered, cost is low, and efficiency is high.

The invention relates to the technical field of pipe clamps, in particular to a double-layer process pipe assembly rotating tool clamp which comprises a rack, a shell and an inner pipe clamping mechanism. A shell is installed at the end of the machine frame, a calibration mechanism and a rotating mechanism used for driving an inner pipe and an outer pipe to rotate synchronously are installed on the side wall of the shell, an inner pipe clamping mechanism is installed on the calibration mechanism, and a position adjusting mechanism used for adjusting the height and the front-back position of the outer pipe is further installed on the machine frame. After the position of the outer pipe is roughly adjusted through the position adjusting mechanism, the position of the outer pipe is rapidly calibrated through the calibration mechanism, so that the outer pipe and the inner pipe are coaxially distributed, the welding precision is guaranteed, a leveling instrument does not need to be used for measurement, multiple adjustment operations do not need to be carried out, the operation process is simplified, and the overall assembly efficiency is improved.