Intelligent numerical control machine tool programming method and system

Abstract

The invention relates to the technical field of program control, in particular to an intelligent numerical control machine tool programming method and system.The intelligent numerical control machine tool programming method comprises the steps that based on the operation requirement of a numerical control machine tool and a tool motion trail, material attributes and tool specification data are adopted, the cutting speed, the feeding rate and the cutting depth are set, and initial parameters are adjusted by comparing historical machining data; and generating a preliminary path design. According to the method, the initial cutting path is set by comprehensively using material attributes and tool specification data, the actual tool movement track is simulated, the accuracy and efficiency of the machining process are effectively improved, the machining hardness and precision requirements are precisely met by dynamically adjusting the cutting speed and the feeding rate, the machining quality is ensured, and the machining efficiency is improved. The three-dimensional simulation and collision detection of the motion path of the numerical control machine tool cutter are executed to enhance the operation reliability, the mechanical interference possibility is reduced, the trajectory control points are optimized through fine adjustment of the cutter trajectory and map analysis, path obstacles are effectively avoided, and the operation efficiency and the production quality of the machine tool are improved.

Description

Technical Field

[0001] The present invention relates to the field of program control technology, and in particular to an intelligent numerical control machine tool programming method and system. Background Art

[0002] The field of program control technology, which is a technology applied to automated mechanical processing equipment. Program control technology mainly involves the use of specific software and hardware systems to guide the operation of machine tools to ensure the accuracy and efficiency of processing. This technology includes the development and use of computer programs to control the movement and processing of machine tools, enabling machine tools to perform complex processing tasks that are difficult to achieve without computer assistance.

[0003] Among them, the core of intelligent CNC machine tool programming method is to improve the intelligence and automation level of machine tools. The purpose of this method is to improve processing accuracy, efficiency and flexibility by optimizing programming and control processes, thereby reducing manual intervention, reducing production costs and improving product quality. This method uses advanced algorithms and control systems to achieve precise control of machine tool operations to meet higher industrial production requirements.

[0004] Traditional methods mainly rely on fixed programming and control processes, which are not flexible enough in dynamically changing machining environments. Fixed parameter settings cannot effectively adapt to the diversity of material properties, resulting in limited machining accuracy and efficiency. Lack of advanced collision detection and path optimization functions, common mechanical interference and tool wear, increased maintenance costs and reduced equipment life. Failure to adjust cutting parameters and trajectories in real time leads to unnecessary downtime and rework during machining, wasting time and damaging expensive machine tool components. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent CNC machine tool programming method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: an intelligent CNC machine tool programming method, comprising: S1: Based on the operation requirements of the CNC machine tool and the tool motion trajectory, the material properties and tool specification data are used to set the cutting speed, feed rate and cutting depth. By comparing the historical processing data, the initial parameters are adjusted to generate the preliminary path design; S2: through the preliminary path design, the material removal rate is evaluated, and the cutting speed and feed rate are adjusted by a dynamic adjustment strategy to obtain adjusted cutting parameters; S3: using the adjusted cutting parameters, performing a three-dimensional simulation of the CNC machine tool tool motion path, identifying potential collisions and mechanical interferences in the path through collision detection, marking and recording problem areas, and obtaining collision detection results; S4: According to the collision detection result, the tool trajectory is fine-tuned, and the tool trajectory space optimization analysis is performed on the detected conflict area, and the trajectory control points are adjusted to avoid path obstacles. At the same time, the idle stroke of the machine tool is measured and adjusted to establish an optimized cutting path.

[0007] As a further solution of the present invention, the preliminary path design includes a parameter set, simulation output, and performance indicators. The adjusted cutting parameters are specifically speed parameters, feed parameters, and hardness matching. The collision detection results include conflict coordinates, obstacle identification, and safety zoning. The optimized cutting path includes path accuracy, operating efficiency, and safety adjustment.

[0008] As a further solution of the present invention, the step of obtaining the preliminary cutting path parameters is specifically as follows: S111: According to material properties and tool specifications, cutting speed , feed rate and cutting depth Initial settings, call recommended values ​​from the cutting database or experience table, and select parameters to match the material and tool processing capabilities; S112: By comparing historical processing data, the initial parameters are adjusted and the formula is called: ; in, is the adjustment factor, is the cutting speed, is the feed rate, For cutting depth; S113: The adjusted parameters It is compared with the threshold of performance requirements. If it is greater than or equal to the expected performance, it is set as the preliminary cutting path parameters. The performance threshold is set based on the machining accuracy and surface integrity requirements.

[0009] As a further solution of the present invention, the steps of obtaining the preliminary path design are specifically as follows: S121: Using CAD, input the adjusted cutting path parameters, including speed, feed rate, and cutting depth, and the cutting path parameters are adjusted to match the material and tool according to the calculation results; S122: Run the simulation model of tool motion in CAD, and simulate the dynamic behavior of the tool on the preset path by calling the tool specification and material property data and using the built-in physics engine and cutting force model of the simulation software; S123: Analyze the simulation results, check whether the tool's motion trajectory during the simulation has deviations or collisions, and call the formula: ; in, and is the weight coefficient, TrajectoryDeviation represents the trajectory deviation value, and CollisionRisk represents the collision risk index, which assists in evaluating and optimizing the design and execution of trajectories; S124: Compare the overall evaluation score T of the simulation with the set safety and accuracy thresholds. Below the threshold, it is defined as preliminary path design, and the threshold is set based on pre-defined processing quality and safety standards.

[0010] As a further solution of the present invention, the step of obtaining the adjusted cutting parameters is specifically as follows: S221: Evaluate the material removal rate and machining quality under the current cutting parameters by collecting machining process data including cutting speed , feed rate and actual material removal rate , obtain parameters from the monitoring system of CNC machine tools; S222: Dynamically adjust the cutting speed and feed rate according to the hardness and precision requirements of the processed material, using the formula: ; in, is the adjustment factor, is the material hardness index; S223: Adjust the cutting parameters The cutting parameters are compared with the predetermined machining efficiency and quality standards, and if they meet the requirements, they are determined to be optimized cutting parameters.

[0011] As a further solution of the present invention, the step of obtaining the collision detection result is specifically: S311: Use the adjusted cutting parameters to set up the simulation environment in Mastercam software and input tool path and machine tool structure data; S312: Execute path simulation, call tool trajectory and mechanical structure model through Mastercam software, detect collision and mechanical interference, use dynamic simulation to foresee and evaluate potential conflict points, and obtain collision detection results; S313: Label and record the problem areas identified in the simulation, using the formula: ; Among them, ConflictAreas represents the conflict area data. The weight assigned to each conflict area based on severity; S314: Compare the calculated collision detection result C with a preset safety standard threshold. If C is lower than the threshold, it indicates that the path design is safe and executable. The threshold is set based on industry standards and previous safety records.

[0012] As a further solution of the present invention, the step of obtaining the optimized cutting path is specifically as follows: S411: Analyze and identify the location and nature of the conflict area according to the collision detection result, and call the detected conflict area data through a map analysis tool, where the conflict area data is derived from the output result of the three-dimensional simulation; S412: For each detected conflict area, calculate the current trajectory control point and avoid path obstacles using the formula: ; in, represents the original cutting path, is the adjustment factor, represents the sum of adjustment vectors of conflicting control points; S413: Measure and adjust the idle stroke of the machine tool. The new trajectory actually executed is not interfered by mechanical limitations. By calling the dynamic parameters of the machine tool and measuring the idle stroke, the compatibility of the available motion range of the machine tool with the new trajectory is calculated; S414: Compare the new trajectory with the actual motion capability of the machine tool, verify that there is no conflict, and then establish the optimized cutting path.

[0013] An intelligent CNC machine tool programming system, the intelligent CNC machine tool programming system is used to execute the above-mentioned intelligent CNC machine tool programming method, the system comprises: The path design module sets cutting path parameters based on material properties and tool specification data, uses numerical simulation to refine the tool motion trajectory, optimizes the path based on the mechanical properties of the material and the size restrictions of the tool, and performs preliminary simulation of the trajectory to generate a preliminary path design; The dynamic adjustment module evaluates the material removal rate through the preliminary path design, adjusts the cutting speed and feed rate according to the detected hardness and machining error, analyzes and feeds back the adjustment results, and re-optimizes the parameters to obtain the adjusted cutting parameters; The simulation detection module uses the adjusted cutting parameters to simulate on the Mastercam software, performs collision detection, analyzes potential collisions and mechanical interferences identified in the cutting path, marks problem areas, records and analyzes collision data, and records the collision data to obtain collision detection results; The path fine-tuning module fine-tunes the tool trajectory according to the collision detection results, adjusts the control points through map analysis of the conflict area, avoids path obstacles, measures the idle stroke of the machine tool, analyzes the idle stroke data, optimizes space utilization efficiency, adjusts the trajectory and idle stroke, and establishes an optimized cutting path.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, the preliminary cutting path is set by comprehensively using material properties and tool specification data, and the actual tool motion trajectory is simulated to effectively improve the accuracy and efficiency of the machining process. This preliminary design allows the material removal rate to be evaluated at an early stage, and the machining hardness and precision requirements are finely responded to by dynamically adjusting the cutting speed and feed rate to ensure the machining quality. Performing three-dimensional simulation and collision detection of the tool motion path of CNC machine tools enhances operational reliability and reduces the possibility of mechanical interference. By fine-tuning the tool trajectory and optimizing the trajectory control points through map analysis, path obstacles can be effectively avoided, and the machine tool operation efficiency and production quality can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 A flowchart for obtaining preliminary cutting path parameters of the present invention; Figure 3 Acquisition flow chart designed for the preliminary path of the present invention; Figure 4 A flow chart for obtaining the material removal rate of the present invention; Figure 5 A flow chart of obtaining the adjusted cutting parameters of the present invention; Figure 6 A flowchart of obtaining collision detection results of the present invention; Figure 7 This is a flow chart for obtaining the optimized cutting path of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0018] Example 1: Please refer to Figure 1 The present invention provides a technical solution: an intelligent CNC machine tool programming method, comprising: S1: Based on the operation requirements of the CNC machine tool and the tool motion trajectory, the material properties and tool specification data are used to set the cutting speed, feed rate and cutting depth. By comparing the historical processing data, the initial parameters are adjusted to generate the preliminary path design; S2: Through preliminary path design, the material removal rate is evaluated, and the cutting speed and feed rate are adjusted using a dynamic adjustment strategy to obtain the adjusted cutting parameters; S3: Using the adjusted cutting parameters, perform 3D simulation of the CNC machine tool tool motion path, identify potential collisions and mechanical interferences in the path through collision detection, mark and record problem areas, and obtain collision detection results; S4: According to the collision detection results, the tool trajectory is fine-tuned. By performing spatial optimization analysis on the tool trajectory of the detected conflict area, the trajectory control points are adjusted to avoid path obstacles. At the same time, the idle stroke of the machine tool is measured and adjusted to establish an optimized cutting path.

[0019] The preliminary path design includes parameter sets, simulation outputs, and performance indicators. The adjusted cutting parameters are speed parameters, feed parameters, and hardness matching. The collision detection results include conflict coordinates, obstacle identification, and safety zoning. The optimized cutting path includes path accuracy, operating efficiency, and safety adjustment.

[0020] See also Figure 2 , the steps for obtaining the preliminary cutting path parameters are as follows: S111: According to material properties and tool specifications, cutting speed , feed rate and cutting depth Initial settings, call recommended values ​​from the cutting database or experience table, and select parameters to match the material and tool processing capabilities; S112: By comparing historical processing data, the initial parameters are adjusted and the formula is called: ; in, is the adjustment factor, is the cutting speed, is the feed rate, For cutting depth; S113: The adjusted parameters It is compared with the threshold of performance requirements. If it is greater than or equal to the expected performance, it is set as the preliminary cutting path parameters. The performance threshold is set based on the machining accuracy and surface integrity requirements.

[0021] Cutting speed :Get the recommended cutting speed for a specific material and tool from the cutting database. For example, for materials with different hardness, the cutting speed will be adjusted. It can be assumed that the speed obtained from the database is .

[0022] Feed rate : Based on the material and tool type, the recommended feed rate is retrieved from the empirical table. For roughing and finishing, the feed rate will be significantly different. Assume that the initial value is .

[0023] Depth of cut :Set the cutting depth according to the size of the workpiece and the machine tool capacity. Consider safety and efficiency, set an initial cutting depth, assuming the value is .

[0024] Based on historical data and process experience, the influence of cutting speed, feed rate and cutting depth is weighted. For example, the adjustment coefficient can be set These coefficients indicate the influence ratio of each parameter on the cutting effect.

[0025] : ; Using the previously assumed values ​​and coefficients, we calculate: ; Assuming process requirements At least 40.0 to ensure processing quality and efficiency. By comparing the calculated value with the threshold, confirm whether the parameters meet the requirements.

[0026] if If it is greater than or equal to 40.0, the parameter setting is appropriate. If it is lower than this value, it needs to be readjusted. One or more parameters in a measurement to reach or exceed a threshold.

[0027] See also Figure 3 ,The specific steps for obtaining the preliminary path design are: S121: Using CAD, input the adjusted cutting path parameters, including speed, feed rate, and cutting depth, and the cutting path parameters are adjusted to match the material and tool according to the calculation results; S122: Run the simulation model of tool motion in CAD, and simulate the dynamic behavior of the tool on the preset path by calling the tool specification and material property data and using the built-in physics engine and cutting force model of the simulation software; S123: Analyze the simulation results, check whether the tool's motion trajectory during the simulation has deviations or collisions, and call the formula: ; in, and is the weight coefficient, TrajectoryDeviation represents the trajectory deviation value, and CollisionRisk represents the collision risk index, which assists in evaluating and optimizing the design and execution of trajectories; S124: Compare the overall evaluation score T of the simulation with the set safety and accuracy thresholds. Below the threshold, it is defined as preliminary path design, and the threshold is set based on pre-defined processing quality and safety standards.

[0028] Assume that the ideal motion trajectory of the tool is a series of coordinate points ,in, Represents each moment in the time series.

[0029] The actual motion trajectory is a series of coordinate points .

[0030] Track Deviation At every moment Calculated as the Euclidean distance between ideal and actual coordinates: ; All deviation values ​​are accumulated to get the total deviation: ; Assumptions Indicates at time The collision risk is 0 or 1, 1 means collision, and 0 means no collision.

[0031] The risk of collision is calculated by the simulation software based on the size and position of the tool, and the relative position of the table and other machine components.

[0032] The total collision risk is: ; The trajectory deviation and collision risk are weighted and summed to obtain the overall evaluation score : ; in, and are weighting factors used to adjust the influence of deviation and collision risk in the overall score. The choice of these factors depends on the specific processing requirements and safety standards.

[0033] First, the ideal and actual positions of the tool at each moment are obtained through CNC machine tools or simulation software.

[0034] Calculate the deviation at each moment And accumulate.

[0035] At the same time, it monitors and records whether a collision occurs at each moment and calculates the total collision risk.

[0036] Finally, these data are applied to the above formula to calculate the overall evaluation score of the tool motion .

[0037] See also Figure 4 , the steps to obtain the material removal rate are as follows: S211: Extracting cutting depth from cutting path design data , feed rate and cutting speed , the cutting path design data is directly called from the programming software of the CNC machine tool; S212: Calculate the material removal volume during each cutting process by calling the formula: ; in, represents the cutting depth, represents the feed rate, represents cutting speed; S213: The calculated material removal rate Compared with the established efficiency standard, if If it is greater than or equal to the preset standard, the cutting parameter setting is considered reasonable. If it is not satisfied, the parameters need to be adjusted.

[0038] (Deep Cutting): This is the depth to which the tool enters the material each time the workpiece is cut, and is set according to the material properties of the workpiece and the type of tool; (Feed rate): This is the distance the tool enters the material per revolution, determined by the processing conditions and machine tool performance; (Cutting speed): This is the speed at which the tool contacts the workpiece, expressed in meters per minute; Cutting depth Obtained from the CNC machine's programming software or process plan.

[0039] Feed rate Also obtained from the setup of CNC machines.

[0040] Cutting speed Preset or adjust based on material cutting characteristics and machine capabilities.

[0041] Substitute the obtained parameter values ​​into the formula for calculation: ; This step involves simple multiplication.

[0042] Assume the following values: Cutting depth ; Feed rate ; Cutting speed ;

[0043] Calculate the material removal rate per minute: ; Thus, a material removal of 20,000 cubic millimeters per minute is calculated.

[0044] See also Figure 5 , the specific steps for obtaining the adjusted cutting parameters are: S221: Evaluate the material removal rate and machining quality under the current cutting parameters by collecting machining process data including cutting speed , feed rate and actual material removal rate , obtain parameters from the monitoring system of CNC machine tools; S222: Dynamically adjust the cutting speed and feed rate according to the hardness and precision requirements of the processed material, using the formula: ; in, is the adjustment factor, is the material hardness index; S223: Adjust the cutting parameters The cutting parameters are compared with the predetermined machining efficiency and quality standards, and if they meet the requirements, they are determined to be optimized cutting parameters.

[0045] (Cutting speed): obtained from the monitoring system of the CNC machine tool, or preset according to the material type and processing requirements; (Feed rate): Similarly, it is obtained from the system or preset according to the processing characteristics of the material and the machine tool capabilities; (Material hardness): obtained from material test reports or databases, reflecting the difficulty of material processing; (Adjustment coefficients): These are coefficients determined based on historical processing data and experience, used to balance the impact of different parameters on the final processing effect.

[0046] Get cutting speed and feed rate From the control system of CNC machine tools.

[0047] Get the hardness from the material data sheet .

[0048] Determine the adjustment coefficient based on past processing experience and experimental data For example, if the material hardness has a greater impact on processing, increase The value of .

[0049] Substitute the obtained parameter values ​​into the formula to calculate the adjusted cutting parameters: ; This step involves basic arithmetic operations, namely multiplying the parameters by the coefficients and summing them.

[0050] Assume the following data and coefficients: ; ; ; ; Substitute these values ​​into the formula to calculate the adjusted cutting parameters: .

[0051] See also Figure 6 , the specific steps for obtaining collision detection results are: S311: Use the adjusted cutting parameters to set up the simulation environment in Mastercam software and input tool path and machine tool structure data; S312: Execute path simulation, call tool trajectory and mechanical structure model through Mastercam software, detect collision and mechanical interference, use dynamic simulation to foresee and evaluate potential conflict points, and obtain collision detection results; S313: Label and record the problem areas identified in the simulation, using the formula: ; Among them, ConflictAreas represents the conflict area data. The weight assigned to each conflict area based on severity; S314: Compare the calculated collision detection result C with a preset safety standard threshold. If C is lower than the threshold, it indicates that the path design is safe and executable. The threshold is set based on industry standards and previous safety records.

[0052] ConflictAreas: These are the conflict or interference areas identified by the collision detection function in Mastercam software. These areas are where the tool path contacts the machine tool structure during the simulation process.

[0053] (Weight Factor): The weight given to each conflicting area according to its severity. The weighting can be based on the potential damage that the conflict may cause to the machining process, such as resulting machine downtime, tool damage, or reduced part quality.

[0054] Set up the simulation in a 3D simulation environment and input tool paths and machine structure data.

[0055] When you run the simulation, the software automatically executes the collision detection algorithm to identify all conflicting areas. These areas are marked in red or other colors in the graphical interface.

[0056] Assessing the severity of the conflict: Each identified conflict area is evaluated to determine severity. This involves analyzing the conflict area’s size, location, and degree of contact with critical machine tool components.

[0057] Assign a weight to each region , this weight reflects the potential risk of each conflict area.

[0058] Perform weighted summation on all conflicting areas to calculate the total collision detection result . This calculation is performed by the following steps: ; in, It is Identification information of the conflicting areas, is the corresponding weight.

[0059] Assume that three conflict areas are detected through 3D simulation, and their severity and weights are as follows: Zone 1: Mild conflict, heavy ; Zone 2: Moderate Conflict, Heavy ; Area 3: Heavy Conflict, Weight ; The overall collision detection result will be: .

[0060] See also Figure 7 , the steps to obtain the optimized cutting path are as follows: S411: Analyze and identify the location and nature of the conflict area according to the collision detection result, and call the detected conflict area data through a map analysis tool, where the conflict area data is derived from the output result of the three-dimensional simulation; S412: For each detected conflict area, calculate the current trajectory control point and avoid path obstacles using the formula: ; in, represents the original cutting path, is the adjustment factor, represents the sum of adjustment vectors of conflicting control points; S413: Measure and adjust the idle stroke of the machine tool. The new trajectory actually executed is not interfered by mechanical limitations. By calling the dynamic parameters of the machine tool and measuring the idle stroke, the compatibility of the available motion range of the machine tool with the new trajectory is calculated; S414: Compare the new trajectory with the actual motion capability of the machine tool, verify that there is no conflict, and then establish the optimized cutting path.

[0061] Initial cutting path data is generated by CAD or CAD / CAM software, based on the part design and the capabilities of the machine tool.

[0062] The designer or engineer inputs the size and shape of the part and the working envelope of the machine tool, and the software generates the path based on these inputs.

[0063] is a set of coordinate points, such as .

[0064] While performing a 3D simulation of a CNC machine tool's tool motion path, the software identifies collision points by comparing the tool path to the machine structure.

[0065] The collision points or conflict areas are identified, and the vectors that need to be adjusted for each conflict point are calculated, such as .

[0066] Calculate the adjustment vector for each conflict point and then sum it up to get .

[0067] Determine an appropriate adjustment factor based on the characteristics of the tool and workpiece material and the dynamic response capability of the machine tool .

[0068] It is set by engineers based on experience or optimized through experimental data to ensure the safety and practicality of cutting path adjustment.

[0069] Assumptions , which means that the adjustment vector of each conflict point will be reduced in this proportion to reduce the adjustment amplitude and ensure the processing accuracy.

[0070] Assume that the original cutting path consists of points and The conflict point adjustment vector is and , adjustment factor .

[0071] Conflict vector sum calculation: ConflictPoints ; New path calculation: ; ; ; ; An intelligent CNC machine tool programming system, an intelligent CNC machine tool programming system is used to execute the above-mentioned intelligent CNC machine tool programming method, the system comprises: The path design module sets cutting path parameters based on material properties and tool specification data, uses numerical simulation to refine the tool motion trajectory, optimizes the path based on the mechanical properties of the material and the size restrictions of the tool, and performs preliminary simulation of the trajectory to generate a preliminary path design; The dynamic adjustment module evaluates the material removal rate through preliminary path design, adjusts the cutting speed and feed rate according to the detected hardness and processing error, analyzes and feedbacks the adjustment results, and re-optimizes the parameters to obtain the adjusted cutting parameters; The simulation detection module uses the adjusted cutting parameters to simulate on the Mastercam software, performs collision detection, analyzes potential collisions and mechanical interferences identified in the cutting path, marks problem areas, records and analyzes collision data, and obtains collision detection results; The path fine-tuning module fine-tunes the tool trajectory according to the collision detection results, adjusts the control points through map analysis of the conflict area, avoids path obstacles, measures the idle stroke of the machine tool, analyzes the idle stroke data, optimizes space utilization efficiency, adjusts the trajectory and idle stroke, and establishes an optimized cutting path.

[0072] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for programming an intelligent CNC machine tool, characterized in that: include: Based on the operation requirements of the CNC machine tool and the tool motion trajectory, the material properties and tool specification data are used to set the cutting speed, feed rate and cutting depth. By comparing the historical processing data, the initial parameters are adjusted to generate a preliminary path design; Through the preliminary path design, the material removal rate is evaluated, and the cutting speed and feed rate are adjusted by a dynamic adjustment strategy to obtain adjusted cutting parameters; Using the adjusted cutting parameters, a three-dimensional simulation of the motion path of the CNC machine tool tool is performed, potential collisions and mechanical interferences in the path are identified through collision detection, problem areas are marked and recorded, and collision detection results are obtained; According to the collision detection results, the tool trajectory is fine-tuned. By performing spatial optimization analysis on the tool trajectory of the detected conflict area, the trajectory control points are adjusted to avoid path obstacles. At the same time, the idle stroke of the machine tool is measured and adjusted to establish an optimized cutting path.

2. The intelligent CNC machine tool programming method according to claim 1, characterized in that: The preliminary path design includes parameter sets, simulation outputs, and performance indicators. The adjusted cutting parameters are specifically speed parameters, feed parameters, and hardness matching. The collision detection results include conflict coordinates, obstacle identification, and safety zoning. The optimized cutting path includes path accuracy, operating efficiency, and safety adjustment.

3. The intelligent CNC machine tool programming method according to claim 1, characterized in that: The steps for obtaining the preliminary cutting path parameters are specifically as follows: According to the material properties and tool specifications, the cutting speed , feed rate and cutting depth Initial settings, call recommended values ​​from the cutting database or experience table, and select parameters to match the material and tool processing capabilities; By comparing historical processing data, the initial parameters are adjusted and the formula is called: ； in, is the adjustment factor, is the cutting speed, is the feed rate, For cutting depth; The adjusted parameters It is compared with the threshold of performance requirements. If it is greater than or equal to the expected performance, it is set as the preliminary cutting path parameters. The performance threshold is set based on the machining accuracy and surface integrity requirements.

4. The intelligent CNC machine tool programming method according to claim 1, characterized in that: The steps for obtaining the preliminary path design are specifically as follows: Using CAD, input the adjusted cutting path parameters, including speed, feed rate, and cutting depth. The cutting path parameters are adjusted to match the material and tool based on the calculation results. Run a simulation model of tool motion in CAD, call tool specifications and material property data, use the simulation software's built-in physics engine and cutting force model to simulate the dynamic behavior of the tool on the preset path; Analyze the simulation results and check whether the tool's motion trajectory during the simulation has deviations or collisions. Use the formula: ； in, and is the weight coefficient, TrajectoryDeviation represents the trajectory deviation value, and CollisionRisk represents the collision risk index, which assists in evaluating and optimizing the design and execution of trajectories; The overall evaluation score T of the simulation is compared with the set safety and accuracy thresholds. Below the safety and accuracy threshold, it is defined as a preliminary path design.

5. The intelligent CNC machine tool programming method according to claim 1, characterized in that: The steps for obtaining the adjusted cutting parameters are specifically as follows: Evaluate the material removal rate and machining quality under the current cutting parameters by collecting machining process data including cutting speed , feed rate and actual material removal rate , obtain parameters from the monitoring system of CNC machine tools; According to the hardness and precision requirements of the processed material, dynamically adjust the cutting speed and feed rate, using the formula: ； in, is the adjustment factor, is the material hardness index; Adjust the cutting parameters The cutting parameters are compared with the predetermined machining efficiency and quality standards, and if they meet the requirements, they are determined to be optimized cutting parameters.

6. The intelligent CNC machine tool programming method according to claim 1, characterized in that: The steps for obtaining the collision detection result are specifically as follows: Use the adjusted cutting parameters to set up the simulation environment in Mastercam software and input tool path and machine tool structure data; Perform path simulation, call tool trajectory and mechanical structure model through Mastercam software, detect collision and mechanical interference, use dynamic simulation to foresee and evaluate potential conflict points, and obtain collision detection results; Label and record the problem areas identified in the simulation, using the formula: ； Among them, ConflictAreas represents the conflict area data. The weight assigned to each conflict area based on severity; The calculated collision detection result C is compared with the preset safety standard threshold. If C is lower than the threshold, it indicates that the path design is safe and executable.

7. The intelligent CNC machine tool programming method according to claim 1, characterized in that: The steps for obtaining the optimized cutting path are specifically as follows: According to the collision detection results, analyze and identify the location and nature of the conflict area, and call the detected conflict area data through the map analysis tool; For each detected conflict area, calculate the current trajectory control point to avoid path obstacles and apply the formula: ； in, represents the original cutting path, is the adjustment factor, represents the sum of adjustment vectors of conflicting control points; Measure and adjust the idle stroke of the machine tool. The new trajectory actually executed is not interfered by mechanical limitations. By calling the dynamic parameters of the machine tool and measuring the idle stroke, the compatibility of the available motion range of the machine tool with the new trajectory is calculated; The new trajectory is compared with the actual motion capabilities of the machine tool, and after verifying that there is no conflict, the optimized cutting path is established.

8. An intelligent CNC machine tool programming system, characterized in that: According to an intelligent CNC machine tool programming method according to any one of claims 1 to 7, the system comprises: The path design module sets cutting path parameters based on material properties and tool specification data, uses numerical simulation to refine the tool motion trajectory, optimizes the path based on the mechanical properties of the material and the size restrictions of the tool, and performs preliminary simulation of the trajectory to generate a preliminary path design; The dynamic adjustment module evaluates the material removal rate through the preliminary path design, adjusts the cutting speed and feed rate according to the detected hardness and machining error, analyzes and feeds back the adjustment results, and re-optimizes the parameters to obtain the adjusted cutting parameters; The simulation detection module uses the adjusted cutting parameters to simulate on the Mastercam software, performs collision detection, analyzes potential collisions and mechanical interferences identified in the cutting path, marks problem areas, records and analyzes collision data, and records the collision data to obtain collision detection results; The path fine-tuning module fine-tunes the tool trajectory according to the collision detection results, adjusts the control points through map analysis of the conflict area, avoids path obstacles, measures the idle stroke of the machine tool, analyzes the idle stroke data, optimizes space utilization efficiency, adjusts the trajectory and idle stroke, and establishes an optimized cutting path.

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