Numerical control machine tool machining efficiency optimization method based on drawing programming

Abstract

The invention discloses a numerical control machine tool machining efficiency optimization method based on drawing programming, and relates to a numerical control machining technology in the field of machine manufacturing, in particular to the numerical control machine tool machining efficiency optimization method based on drawing programming, and the method mainly depends on manual judgment and experience of operators instead of system automatic analysis. The method comprises the following steps: firstly, manually interpreting an input part drawing by an operator, and identifying machining characteristics, process requirements and machining strategies; a G code instruction of a numerical control program is written or corrected manually, and a tool path is optimized to reduce idle stroke; machining parameters such as the spindle rotating speed and the feeding rate are manually set according to the hardware characteristics of the machine tool; and finally generating a numerical control program and executing machining. The system provides a drawing display interface, a programming tool interface and a parameter setting interface, but does not have an automatic drawing analysis or intelligent optimization function. According to the method, the process knowledge and skills of operators are exerted, the machining efficiency is optimized, and the method is suitable for numerical control machining scenes depending on artificial experience.

Description

Technical Field

[0001] This invention relates to CNC machining technology in the field of mechanical manufacturing, specifically a method for optimizing the machining efficiency of CNC machine tools based on drawing programming. Background Technology

[0002] As core equipment in modern manufacturing, CNC machine tools directly impact production efficiency and quality. Currently, the industry widely uses CAD / CAM (Computer-Aided Design / Computer-Aided Manufacturing) systems for CNC programming. This automated programming process involves importing the 3D CAD model of the part into CAM software, which automatically performs machining feature recognition, toolpath planning, and cutting parameter selection (usually based on a built-in process database), and finally, post-processing to generate a G-code program executable by the machine tool.

[0003] However, this highly automated approach has certain limitations. First, the automatic feature recognition function of CAM software may misidentify or fail to recognize complex or non-standard geometries, requiring manual intervention and correction, which increases programming time. Second, automatically generated toolpaths are often conservative, potentially including excessive idle travel, non-cutting movements, or unoptimized cutting sequences, failing to fully utilize the machine tool's hardware performance potential and resulting in suboptimal machining efficiency. Furthermore, standard process databases may not adapt to specific machine tool conditions, tool wear, or special material properties, making automatically generated machining parameters (such as spindle speed and feed rate) less accurate, affecting machining efficiency and tool life.

[0004] Therefore, in many applications with extremely high requirements for processing efficiency and cost control (such as mold manufacturing and aerospace component processing), relying entirely on automated programming of CAM systems is not the optimal choice. Instead, experienced operators, by directly interpreting two-dimensional engineering drawings (containing complete geometry, dimensional tolerances, surface roughness, and other process requirements), and leveraging their deep process knowledge and profound understanding of specific machine tool performance, can manually write G-code, optimize toolpaths, and set machining parameters, often planning more efficient and rational machining schemes. This "drawing-based programming" method minimizes unnecessary machine tool movements, fully utilizes equipment potential, and thus optimizes processing efficiency.

[0005] However, current technology lacks a systematic approach to summarize and define this "drawing-based programming" model, which heavily relies on human experience, and also lacks CNC machine tool systems specifically designed to support this model. Most CNC machine tool systems are still designed around CAD / CAM automation processes, and their intelligent and automated functions may actually hinder experienced operators. Summary of the Invention

[0006] The purpose of this invention is to provide a method for optimizing the machining efficiency of CNC machine tools based on drawing programming. By automatically removing and analyzing CAD drawings to accurately extract machining features and process information such as geometric shapes and tolerances, and using optimization algorithms to rationally plan and adapt tool paths and cutting parameters, the idle travel is significantly reduced, machining accuracy and efficiency are improved, and the automation and intelligent optimization of the entire CNC machining process is ultimately achieved.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method for optimizing the machining efficiency of CNC machine tools based on drawing programming. This method relies entirely on the professional skills and subjective judgment of the operator and includes the following manually-led steps: The operator first conducts a comprehensive visual inspection and technical interpretation of the input part drawings. Based on their knowledge of machining principles, material properties, and long-term practical experience, they identify the key information of the part to be processed. Based on the above manual analysis, the operator independently judges and determines the machining feature details, the process indicators to be met, and the overall machining strategy framework of the part. Subsequently, based on the established machining strategy, the operator manually writes or modifies the G-code instructions required for the CNC program line by line with the help of auxiliary software tools. During this process, the operator repeatedly refines and adjusts the tool movement trajectory through human calculation and spatial imagination in order to improve the rationality of the path. Furthermore, operators, based on their in-depth understanding of the structure, performance, and tooling system characteristics of specific CNC machine tools, manually configure various key machining parameters; Ultimately, an executable CNC program is generated and the machining operation is performed on the machine tool. Throughout the entire process, all decisions and optimization behaviors originate from the intellectual activities of the operator, and the system does not provide any form of automatic analysis or intelligent judgment function.

[0008] Furthermore, the processing features are indeed considered to be completed manually, specifically referring to the operator directly observing the drawings, identifying various geometric elements of the parts (such as planes, curved surfaces, holes, grooves, etc.), and interpreting key characteristic parameters such as dimensional accuracy range, geometric tolerance requirements, and surface roughness values ​​in conjunction with the annotation information.

[0009] Furthermore, the process requirements are determined by the operator based on the part structure and technical conditions, including but not limited to arranging the sequence of each processing step and selecting appropriate cutting speed, feed rate and other process parameters for different processing stages.

[0010] Furthermore, the manual optimization of toolpaths refers to the operator manually designing tool movement routes based on drawing analysis and using their spatial planning capabilities, focusing on reducing non-cutting time (such as rapid idle movement) and avoiding unnecessary path repetition, in order to improve machining efficiency.

[0011] Furthermore, the manual setting of machining parameters allows operators to independently adjust core parameters such as spindle rotation speed, tool feed rate, and depth of cut per cut through a human-machine interface, based on the workpiece material, tool material, and machine tool capabilities.

[0012] Furthermore, the part drawings are provided in the form of CAD electronic files. Operators use specialized graphics viewing software to open the drawings and perform interactive operations such as zooming, rotating, and measuring to complete a detailed interpretation of the drawing content.

[0013] Furthermore, the process of manually writing or modifying G language instructions relies entirely on the operator's knowledge of CNC programming syntax, machining process specifications, and necessary geometric coordinate calculation skills, with all code generation and verification being done manually.

[0014] Furthermore, the method also includes a manual program verification step, whereby after the final program is generated, the operator uses the path simulation function provided by the software to perform a visual check, or directly evaluates the correctness of the program logic and code based on their own experience.

[0015] Furthermore, the consideration of the hardware characteristics is the responsibility of the operator, including selecting appropriate cutting tools (such as end mills, ball end mills, etc.) according to the machining requirements, and evaluating the impact of the machine tool's rigidity, dynamic response characteristics, etc., on its machining performance, thereby making corresponding settings.

[0016] Furthermore, the system is specifically designed to support manual operation modes, and its components include: The drawing display module provides operators with a clear drawing browsing environment, assisting them in manual drawing analysis; The code editing and path planning tool allows operators to manually input and modify G-code, and provides a graphical interface to support manual adjustment and optimization of toolpaths; The processing parameter input interface allows operators to manually set various processing parameters based on their judgment. The entire system is only used as an auxiliary tool and does not have the functions of automatically recognizing drawing features, automatically extracting machining information, or automatically optimizing CNC programs. All core decisions and operations are completed by the operators.

[0017] This invention provides a method for optimizing the machining efficiency of CNC machine tools based on drawing programming, which has the following beneficial effects: 1. This method, through manual interpretation and decision-making by operators, can flexibly adapt to diverse part drawings and complex process requirements. Because operators interpret the drawings based on their own experience and knowledge, they can comprehensively consider features such as geometry, tolerances, and surface roughness, dynamically adjusting processing strategies. This manual approach avoids the rigid limitations that may exist in automated systems. For example, when drawings contain unconventional features or special requirements, operators can make immediate judgments to ensure the processing better meets actual needs. This not only improves adaptability to unexpected situations but also reduces efficiency losses caused by mismatches in system preset rules, thus maintaining high processing efficiency in changing production environments.

[0018] Manually writing and optimizing G-language instructions by operators enables more refined toolpath planning, effectively improving machining accuracy and resource utilization. Through manual analysis of drawings, operators can intuitively plan paths, minimizing idle travel and repetitive paths, thereby shortening machining time. Simultaneously, based on process knowledge and mathematical calculations, operators can fine-tune the G-code to ensure a high degree of match between the tool trajectory and the part's geometry. This manual optimization pays more attention to detail than automated programs, such as avoiding overcutting or undercutting in complex contour machining, reducing material waste and tool wear. Ultimately, this not only improves machining quality but also reduces energy consumption by minimizing unnecessary machine tool movements, achieving overall efficiency optimization.

[0019] By relying on operators to manually set machining parameters, such as spindle speed and feed rate, the hardware potential of CNC machine tools can be fully utilized, improving machining stability and lifespan. Based on their understanding of the specific machine tool's dynamic performance and tool type, operators can adjust parameters for different materials and working conditions, avoiding machine tool overload or vibration caused by improper parameters. This experience-driven parameter setting is more practical than generic automation solutions, for example, balancing efficiency and tool life in high-speed machining. Through manual optimization, the machining process is smoother, reducing the risk of equipment failure, extending machine tool life, and ensuring sustainable improvement in machining efficiency.

[0020] This method enhances the controllability and verifiability of the machining process and reduces the risk of errors through full operator involvement. Before generating the final program, operators verify its correctness through software simulation or experience, enabling them to identify path or parameter issues in advance and avoid mistakes during actual machining. This manual verification process combines intuitive drawing analysis with practical experience, providing a more comprehensive approach than purely automated inspection. Especially for high-precision parts, operators can focus on key dimensions for focused inspection. This not only reduces scrap rates and rework costs but also improves production reliability, allowing efficiency optimization to be built on a safer foundation.

[0021] This method reduces reliance on external automation software, offering high economic efficiency and ease of implementation, making it suitable for small to medium-sized production environments. Since the entire process relies on operator judgment, it eliminates the need for expensive intelligent analysis systems or complex integrations, allowing companies to quickly deploy it based on existing software tools such as CAD viewers. Operators can program and optimize through a simple interface, reducing training and technology update costs. Furthermore, this method allows for flexible adjustments based on production needs; for example, in small-batch customized processing, manual programming can quickly respond to changes, avoiding the high customization costs of automated systems, thus achieving a good balance between cost-effectiveness and efficiency. Attached Figure Description

[0022] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0023] Figure 1 This is an overview diagram of the overall process of the present invention; Figure 2 This invention involves manually interpreting drawings and process planning flowcharts. Figure 3 This is a flowchart of the manual programming and path optimization process of this invention; Figure 4 This is a flowchart illustrating the manual setting of processing parameters for this invention. Figure 5 This is a flowchart illustrating the process of verifying and executing the program of this invention. Detailed Implementation

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses consistent with some aspects of this disclosure as detailed in the appended claims.

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] How to use: Step 1: Drawing Interpretation and Feature Extraction Operators open part drawing files using drawing interpretation tools (such as CAD software) and manually analyze the geometric structure, dimensioning, tolerance requirements, and surface roughness symbols in the drawings. Based on their own experience, they identified key processing features (such as holes, grooves, contours, etc.) and clarified the process priority and processing constraints of each feature.

[0027] Step 2: Processing Strategy Formulation and Program Writing Based on the features in the drawings, the operators devise process strategies such as machining sequence and cutting methods. Manually write or modify the G language instructions of the CNC program using manual programming tools (such as G code editors) to ensure that the instructions match the machining logic; By manually analyzing the tool movement trajectory, the path design can be optimized to reduce idle travel and repeated tool movements. For example, the paths of continuous machining areas can be merged or the starting point position can be adjusted.

[0028] Step 3: Setting processing parameters Operators manually input parameters such as spindle speed, feed rate, and depth of cut through the parameter setting interface, based on the machine tool hardware characteristics (such as tool material, machine tool rigidity, spindle power, etc.). Parameter settings should be combined with material properties and processing experience to avoid overload or insufficient efficiency.

[0029] Step 4: Program Verification and Execution After the final G-code is generated, operators can use software simulation or experience to check whether the program has risks such as interference or over-cutting. After confirming that everything is correct, the data is transmitted to the CNC machine tool for processing, and the parameters are fine-tuned according to the actual situation during the processing.

[0030] Example: Example 1: Machining Optimization of Multi-Cavity Aluminum Alloy Parts A certain aerospace component manufacturing workshop received a batch of machining orders for multi-cavity aluminum alloy frame parts. The parts have a complex structure, containing multiple irregularly shaped cavities of different depths and shapes, with thin-walled features between the cavity walls, and strict tolerance requirements.

[0031] Operator Wang first opened the 3D model drawings provided by the customer using general CAD software on the computer. Instead of using any automatic feature recognition functions, he manually and carefully examined the drawings by rotating, zooming, and sectioning the views. Based on over fifteen years of experience in aluminum alloy machining, Wang identified the following key points and potential risks: Improperly arranged machining sequence of multiple cavities could lead to decreased part rigidity, making them prone to vibration and deformation during subsequent machining; excessive cutting parameters in thin-walled areas could cause tool deflection and dimensional deviations; and an unreasonable toolpath could leave excessive residual material at cavity corners, increasing corner cleaning workload and easily wearing out the tools.

[0032] Based on this analysis, Master Wang formulated a detailed machining strategy. He decided to adopt the principle of "cutting from the inside out, from deep to shallow, and in layers." He manually wrote the program in the G-code programming software. For example, for each cavity, he first planned to use a smaller diameter end mill for roughing, precisely calculating the depth of cut for each layer in the code (e.g., 1.5 mm each time), and manually optimizing the toolpath to make it spiral down within the cavity, using a circular cutting motion to avoid direct plunge milling at corners, thus protecting the tool. For thin-walled sections, he specifically added finishing allowances to the program and wrote separate finishing paths, using a small depth of cut, high spindle speed, and moderate feed rate to ensure stable wall thickness.

[0033] Regarding the machining parameter settings, Master Wang manually set the parameters based on the performance of a domestically produced three-axis vertical machining center already in the workshop and the characteristics of the carbide-coated end mills he selected. For roughing, the spindle speed was set to 8000 rpm, the feed rate to 2500 mm / min, and the depth of cut to 1.5 mm. For finishing, the spindle speed was increased to 10000 rpm, the feed rate decreased to 800 mm / min, and the depth of cut was only 0.2 mm. These parameters were entirely based on his experience notes from past machining of similar materials and his predictions of machine tool noise and chip patterns.

[0034] After the program was written, Mr. Wang used the toolpath simulation function built into the programming software to check the tool movement trajectory segment by segment, paying particular attention to whether there were excessive tool lifting movements and any potential collision risks. Once confirmed to be correct, he first performed a test cut on a piece of aluminum. By measuring the dimensions of the machined part and conducting a second clamping verification of key parts, he finally confirmed the program's reliability before proceeding with mass production. Through this fully manual optimization based on personal experience, the machining efficiency of this part increased by approximately 25% compared to using a more conservative general program, and the pass rate was significantly improved.

[0035] Example 2: CNC gas cutting of weld bevels for large steel structures A heavy equipment manufacturer needs to machine precise K-grooves at the ends of large box girders to ensure the quality of subsequent welding. The angle and blunt edge dimensions of the groove have strict requirements, and due to the enormous size of the workpiece, secondary alignment on a machine tool is not possible.

[0036] After receiving the 2D CAD drawings from the design department, Engineer Li, who was in charge of the CNC flame cutting machine, first manually interpreted the key dimensions such as the bevel angle and blunt edge height. He realized that the traditional vertical cutting program could not meet the requirements, and a special program that could control the torch tilt angle had to be written. At the same time, because the steel plate undergoes slight deformation after welding, programming directly according to the theoretical dimensions might result in an unsatisfactory actual bevel shape.

[0037] Based on his profound understanding of the deformation characteristics of thermal cutting, Engineer Li formulated a processing strategy. He decided to pre-compensate the cutting path during programming. When manually writing G-code, he not only input the coordinates of the cutting trajectory but also precisely calculated and inserted instructions to control the linkage of the three axes (X, Y, and the C-axis controlling the torch angle). For example, he manually calculated the G-code instructions that required continuous changes in the torch angle during the transition between straight and curved sections to ensure a smooth and flat bevel surface. To reduce thermal deformation, he optimized the cutting path, adopting an interval cutting method: completing all internal process holes first, then cutting the outer shape, and finally machining the bevel, resulting in a relatively uniform heat distribution.

[0038] In the parameter settings interface, Engineer Li manually set the cutting oxygen pressure, preheating oxygen pressure, cutting speed, and distance between the nozzle and the steel plate based on the thickness of the steel plate (40 mm) and the material (Q345B). These parameters were determined by him through years of practice and his familiarity with the performance of different brands of nozzles, without referring to any automated database.

[0039] After generating the program, he didn't perform software simulation (because the physical simulation of flame cutting is quite complex). Instead, relying on his experience, he added a simulated no-load run command at the beginning of the program to observe whether the torch's trajectory matched expectations. Subsequently, he used a small piece of scrap material of the same type for a trial cut, measuring the bevel dimensions with an angle gauge and calipers, and manually fine-tuning the angle compensation value in the program based on the measurement results. Ultimately, the processed bevel perfectly met welding process requirements, avoiding extensive subsequent grinding and finishing work, and significantly improving the first-pass yield.

[0040] Example 3: Mirror EDM machining of high-precision mold inserts A precision mold factory needs to process an SKD11 mold steel insert with a hardness of up to HRC60. Its surface must achieve a mirror finish (Ra<0.1μm) and have a fine texture requirement.

[0041] Electrical discharge machining (EDM) operator Zhang received the 3D electrode drawings and insert blanks provided by the design department. He first compared the electrode and cavity drawings, manually determining the discharge gap, expected losses, and the required surface quality. Because it was a mirror finish, the traditional one-cut strategy of roughing and finishing was not feasible; it required multiple steps to gradually reduce the discharge energy.

[0042] Based on his understanding of the EDM mechanism, Master Zhang devised a multi-stage discharge strategy. He manually wrote the machining program on the CNC system of the EDM machine. First, he selected a roughing electrode and manually set a larger discharge current and pulse width to quickly remove most of the excess material. Then, he switched to a finishing electrode and wrote multiple finishing programs. For each program, he manually and meticulously adjusted the parameters: for example, in the penultimate finishing stage, he appropriately reduced the current but maintained a certain pulse width to ensure stability; in the final mirror finishing stage, he used an extremely small current and a very short pulse interval, and manually set the tool lift height, tool lift frequency, and oil pressure. These settings relied entirely on parameter manuals he had recorded from his past work on similar materials and his experience observing the stability of the discharge waveform.

[0043] In path planning, Master Zhang employed different scanning strategies for flat areas and narrow corners of the cavity. In flat areas, he planned a uniform servo feed path; in corners, he manually added brief delays and more frequent tool lifting movements to prevent carbon buildup. The entire program writing process involved him mentally constructing the discharge process based on the shape of the drawing and transforming it into a series of machine tool instructions.

[0044] After the program was written, he first processed a small area on the waste material, observed the surface condition under a microscope, and manually adjusted the pulse parameters of the last segment of the program based on the subtle arc patterns that appeared. After two rounds of trial processing and parameter correction, the final processed insert surface fully met the requirements for mirror gloss and texture, saving subsequent polishing time and ensuring the precision and lifespan of the mold.

[0045] Example 4: Five-axis simultaneous milling of complex curved surface impellers A water pump factory needs to trial-produce a stainless steel five-axis curved surface impeller. The blades have a complex spatial twisted shape, the flow channels between the blades are narrow, and the requirements for surface smoothness and contour are very high.

[0046] After receiving the 3D model of the impeller, five-axis machine tool operator Zhao Gong observed it from various angles in CAD software, manually analyzing the blade twisting pattern, the transition of the blade root fillet, and the machinability of the flow channel. He determined that interference would be difficult to avoid using a three-axis machine tool, and the surface quality would be difficult to guarantee; therefore, the advantages of five-axis linkage must be fully utilized.

[0047] Leveraging his extensive experience in multi-axis programming, Engineer Zhao devised a "zonal machining" strategy. He divided each blade into different areas, including the pressure surface, suction surface, blade root fillet, and blade tip. Using professional five-axis programming software (which only generates tool positions and then produces G-code), he manually selected the most suitable tool (e.g., a ball end mill) and tool axis control strategy (e.g., tilt and lean) for each area. He paid particular attention to the smoothness of the toolpath, manually adjusting the tool axis vector to avoid sudden directional changes during machining, thus ensuring smooth machine operation and consistent surface texture.

[0048] At the G-code level, Zhao meticulously examined the massive code generated by the post-processor, focusing on the smoothness and continuity of five-axis coordinate transformations (such as the rotation angles of the B and C axes) and the absence of singularities. He manually optimized the feed rate in certain areas, for example, appropriately reducing the feed rate to minimize chatter when the tool enters and exits the blade edge. The machining parameter settings were entirely based on his comprehensive understanding of the properties of stainless steel, the performance of the solid carbide ball end mill used, and the dynamic characteristics of the five-axis machine tool. He set a high spindle speed to maintain linear velocity, but the feed rate was manually set after dynamic estimation based on the cutting width and depth.

[0049] Before machining, Mr. Zhao used the machine tool simulation function of the software to carefully check for any interference between the cutting tool, tool holder, workpiece, and fixture. After confirming that everything was in order, he used paraffin wax as the test cutting material to conduct actual machining verification. By comparing the machined wax model with the design model, he discovered a slight overcut at the root of the blade. He returned to the programming stage, manually adjusted the tool contact point offset in that area, regenerated the program, and performed a second test cut until it was perfect. This manually-led optimization ensured that the first impeller met the design requirements, accumulating valuable process data for subsequent mass production.

[0050] Example 5: Drilling and milling combined machining of small batches of multi-variety plate parts The machining workshop of a certain research unit often needs to process various small batches and varieties of mounting plates and brackets. These parts usually contain holes, threads and contours of various specifications.

[0051] Master Chen, who is in charge of the machining center in this workshop, first manually reads the two-dimensional drawings when he receives a task. He needs to quickly identify all the hole information (such as through holes, blind holes, threaded bottom holes, and countersunk holes), contour dimensions, and geometric tolerances. Due to the small batch size, the time cost of writing a dedicated program needs to be strictly controlled.

[0052] Master Chen's optimization strategy centers on "process concentration and path optimization." He doesn't write separate programs for each feature, but rather manually creates a composite program. For example, in the G-code editor, he first extracts the coordinates of all holes of the same diameter (whether through holes or blind holes) and performs center drilling positioning; then, he categorizes them by tool diameter and performs drilling cycles (G81 / G83); next, he performs milling contours, milling grooves, and other operations by changing tools. When planning toolpaths, he manually adjusts the hole machining sequence, much like planning the shortest travel route, to minimize the idle travel distance of the tool between holes and reduce the number of tool changes.

[0053] In terms of parameter settings, Master Chen manually sets the appropriate spindle speed and feed rate for each tool based on the sheet material (usually aluminum or 45# steel) and the tool list. He has his own "parameter quick reference table" that records the commonly used parameter ranges for tools of different materials and diameters.

[0054] After the program is written, Master Chen usually doesn't conduct lengthy software simulations. Instead, he verifies it by "looking" and "calculating": carefully reviewing the G-code to check if the tool number and tool compensation number are correct, and if the loop instruction format is accurate. Simultaneously, he mentally calculates or writes down the coordinates of key points to ensure they match the drawings. For particularly complex contours, he observes the tool path in "dry run" mode on the machine tool without a workpiece. This rapid programming method, which relies heavily on personal experience and meticulousness, greatly adapts to the production rhythm of small batches and multiple varieties. While ensuring quality, it significantly shortens the preparation time from drawings to finished parts and improves the workshop's rapid response capability.

[0055] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing machining efficiency of CNC machine tools based on drawing programming, characterized in that, Includes the following steps: The operators manually interpret the input part drawings and determine the machining features, process requirements, and machining strategies based on their experience and knowledge. Based on the aforementioned machining strategy and in conjunction with software tools, the operator manually writes or modifies the G language instructions of the CNC machining program and manually optimizes the toolpath. The operator manually sets the machining parameters based on their understanding of the CNC machine tool's hardware characteristics; The entire process of generating the final CNC program and executing the machining relies on the operator's mental judgment rather than the system's automatic analysis.

2. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The processing characteristics include geometric shape, dimensional tolerances, and surface roughness requirements that are identifiable by the operator.

3. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The process requirements include the machining sequence and cutting parameters determined by the operator.

4. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The manual optimization of toolpaths refers to the operator manually planning the path by analyzing drawings to minimize empty travel and repeated paths.

5. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The manual setting of machining parameters includes adjusting the spindle speed, feed rate, and depth of cut.

6. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The part drawings are in CAD format and can be viewed and interpreted by operators in the software environment.

7. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The manual writing or modification of G language instructions is based on the operator's process knowledge and mathematical calculations.

8. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: It also includes the step of having operators verify the correctness of the program by software simulation or experience after the final program is generated.

9. The method for optimizing CNC machine tool machining efficiency based on drawing programming according to claim 1, characterized in that: The hardware characteristics include the types of molds and cutting tools and the dynamic performance of the machine tool that the operator considers when designing the machining process.

10. A CNC machine tool system, suitable for performing the method according to any one of claims 1-9, characterized in that, The system includes: Drawing interpretation aids are used to display drawings for operators to analyze; Manual programming and path planning tools are provided for operators to write and optimize G-code; The parameter setting interface allows operators to input processing parameters; The system itself does not perform automatic drawing analysis, feature extraction, or intelligent program optimization.

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