Cam axial bias single-sided machining method for precision rotary table

Abstract

The application discloses a cam axial bias single-sided machining method for a precision rotary table and belongs to the field of wheel axial bias single-sided machining, and comprises the following steps: adopting an axial bias segmented machining strategy, dividing the machining of the cam curved surface into left and right halves for machining respectively, and gradually performing smoothing treatment at the middle position; adopting a dynamic bias amount adjustment technology, dynamically adjusting the bias amount of the grinding wheel rotation center according to the machining progress and the curved surface shape in the finishing process; and adopting a multi-axis linkage compensation technology, adopting an additional tiny adjustment shaft to compensate for tiny errors caused by single-axis interpolation on the basis of the axial bias machining, so that the cam middle position transition is natural and smooth without obvious tool mark, the transition area shape precision error is controlled within + / -0.003mm, and the surface roughness reaches Ra0.6um, which meets the machining requirements.

Description

Technical Field

[0001] This invention relates to the field of machining technology for axially offset single-sided cams, and more particularly to a method for machining axially offset single-sided cams for precision rotary tables. Background Technology

[0002] Currently, there are various methods for machining cams, with milling and grinding being common examples. In traditional cam machining, the cam surface is a non-developable spatial envelope surface, which cannot be machined by interpolation using tools of different diameters. The common method is to use small-diameter tools for fitting, ensuring that the centerline of the actual machined surface matches the theoretical centerline. However, this method lacks sufficient surface accuracy, leading to insufficient transmission accuracy and rigidity. During actual cam operation, poor surface accuracy results in uneven contact between the rollers and the cam, accelerating cam wear and reducing its service life. It also degrades the cam's stability during movement, generating vibration and noise, affecting the overall performance of the equipment. Furthermore, existing methods have limited control over the shape accuracy of transition areas, often resulting in significant shape accuracy errors, making it difficult to meet the requirements of high-precision machining.

[0003] During machining, cutting force and vibration are key factors affecting machining quality and stability. Most existing machining technologies use fixed machining parameters, which cannot be adjusted in real time according to actual cutting force and vibration conditions. In actual machining, due to the complex shape of the cam and the inhomogeneity of the material, the cutting force constantly changes, and varying degrees of vibration are also generated. Fixed machining parameters cannot adapt to these changes, resulting in a large fluctuation range of cutting force, typically around ±15N. Large fluctuations in cutting force make the machining process unstable, easily leading to machining errors and affecting the shape accuracy and surface quality of the cam. Moreover, strong vibrations accelerate the wear of cutting tools and machine tools, reduce equipment lifespan, and increase production costs.

[0004] Therefore, we provide a single-sided machining method for axial offset cams used in precision rotary tables. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art and solve at least one of the technical problems mentioned in the background art, the present invention proposes a cam axial offset single-sided machining method for precision rotary tables.

[0006] The technical solution adopted by this invention to solve its technical problem is: a method for machining a cam with axial offset on one side for a precision rotary table, comprising the following steps: An axial offset segmented machining strategy is adopted, which divides the machining of the cam surface into the left half and the right half and performs them separately, and then gradually smooths them in the middle position. Dynamic offset adjustment technology is adopted to dynamically adjust the offset of the grinding wheel rotation center according to the machining progress and surface shape during the finishing process; Multi-axis linkage compensation technology is adopted, and an additional micro-adjustment axis is used to compensate for the small errors caused by single-axis interpolation on the basis of axial offset machining. By employing intelligent error prediction and compensation technology, based on big data analysis and machine learning algorithms, errors that may occur during the processing are predicted, and processing parameters are adjusted in real time to compensate for the errors.

[0007] Preferably, the axial offset segmented machining strategy specifically includes: Roughing stage: When roughing the curved surfaces on the left and right sides of the right half, set the center distance as the initial value, the tool diameter is smaller than the roller diameter but larger than 1 / 2 of the roller diameter, and the grinding wheel rotation center is offset to the right by a certain distance. When roughing the curved surfaces on the left and right sides of the left half, set the center distance as the initial value, smaller than the roller diameter but larger than 1 / 2 of the roller diameter, and the grinding wheel rotation center is offset to the left by a certain distance. Smoothing at intermediate positions: At intermediate positions, the surface is smoothly connected by gradually adjusting the offset to 0. The x and z coordinates of the machining tool center remain unchanged, while the y coordinate gradually decreases from the initial offset to 0 using a parabolic-straight-parabolic pattern. Finishing stage: When finishing the left half of the right side curved surface, set the center distance as the initial value, the tool diameter is equal to the roller diameter, and the leftward offset distance of the grinding wheel rotation center is set as the roughing offset distance a minus the grinding amount b. The tool is machined from the leftmost position to the middle position, and then the tool is moved to the leftmost position again. The offset is set as a minus the grinding amount 2xb. Continue machining until 2b=a, that is, when the offset is 0, the left side curved surface is finished, and machining proceeds to the right. The finishing method of the left side of the right half curved surface is similar to that of the left half of the right side curved surface.

[0008] Preferably, the formula for the coordinate y in the intermediate position smoothing process, which follows a parabolic-straight-parabolic pattern, is as follows:

[0009] in, For the angle of the turntable, , , , , , , , The coefficients are determined based on specific processing conditions to ensure that... hour, To achieve a smooth transition.

[0010] Preferably, in the dynamic offset adjustment technology, the offset is calculated and adjusted in real time by monitoring the cutting force and vibration parameters during the machining process and combining them with a preset machining model.

[0011] Preferably, in the multi-axis linkage compensation technology, the additional micro-adjustment axis is a rotation axis or a tilt axis.

[0012] Preferably, the data acquisition and preprocessing steps in the intelligent error prediction and compensation technology are as follows: during the machining process, key parameters such as cutting force, vibration, temperature, and tool wear are collected in real time by high-precision sensors, and data cleaning, noise reduction, and normalization preprocessing are performed.

[0013] Preferably, the error prediction model construction step in the intelligent error prediction and compensation technology is as follows: an error prediction model is constructed using a support vector machine or neural network machine learning algorithm. This model predicts the possible errors that may occur in the current processing step based on historical processing data and real-time collected parameters.

[0014] Preferably, the real-time compensation control step in the intelligent error prediction and compensation technology is as follows: based on the output of the error prediction model, the processing parameters are adjusted in real time to compensate for the predicted error, and the actual processing results are fed back to the error prediction model for model optimization and iteration.

[0015] Preferably, taking the machining of a cam with a center distance of 230mm and a roller diameter of 30mm as an example, during the roughing stage, when roughing the left curved surface, the initial center distance is set to 230mm, the tool diameter is set to 16mm, and the rightward offset distance of the grinding wheel rotation center is set to 1.5mm; during the finishing stage, when finishing the left curved surface, the initial center distance is set to 230mm, the tool diameter is set to 30mm, and the leftward offset distance of the grinding wheel rotation center is fixed and gradually reduced from 1.5mm to 0.

[0016] Preferably, this method is applicable to machining cams of any other size.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By adopting an axial offset segmented machining strategy and combining it with the parabolic-straight-parabolic law for smoothing the intermediate position, the transition of the cam's intermediate position is made natural and smooth with no obvious tool marks. The shape accuracy error of the transition area is controlled within ±0.003mm, and the surface roughness reaches Ra0.6μm, which meets the machining requirements. Furthermore, the machined meshing surface is completely consistent with the theoretical surface, thereby improving machining accuracy and enhancing the final transmission accuracy and rigidity.

[0018] 2. By adopting dynamic offset adjustment technology, the offset of the grinding wheel rotation center is calculated and adjusted in real time according to the cutting force and vibration parameters during the finishing process. This reduces the cutting force fluctuation range during the machining process from ±15N to ±5N, making the machining process more stable, significantly improving the surface quality of the cam, and reducing the surface roughness from Ra0.8μm to Ra0.5μm.

[0019] 3. By employing intelligent error prediction and compensation technology, an error prediction model is constructed based on big data analysis and machine learning algorithms. Key parameters are collected in real time to predict errors and adjust processing parameters to compensate for errors. At the same time, the actual processing results are fed back to optimize the model, achieving a stable shape accuracy error of the cam within ±0.002mm, effectively improving processing accuracy. Furthermore, the processing parameters can be reasonably adjusted according to cams with different parameters, demonstrating the advantages of the method's strong applicability and effectiveness. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic flowchart of a single-sided cam axial offset machining method for a precision rotary table proposed in this invention. Figure 2 This is a schematic diagram of the rough machining of the left curved surface of a cam axial offset single-sided machining method for a precision rotary table proposed in this invention. Figure 3 This is a schematic diagram of the machining of the left curved surface of the right half of a cam axial offset single-sided machining method for a precision rotary table proposed in this invention. Figure 4 This is a schematic diagram of the machining of the right side curved surface of the left half of a cam axial offset single-sided machining method for a precision rotary table proposed in this invention. Figure 5 This is a schematic diagram of the machining of the left side curved surface of the left half of the cam axial offset single-sided machining method for a precision rotary table proposed in this invention. Figure 6 This is a schematic diagram of the finishing of the left curved surface of a precision rotary table cam axial offset single-sided machining method proposed in this invention; Figure 7 This is a schematic diagram of the right half of the curved surface finishing process of a single-sided axial offset cam machining method for a precision rotary table proposed in this invention. Figure 8This is a schematic diagram of the roughing and finishing surfaces when the offset is 0 in the single-sided axial offset machining method for a precision rotary table proposed in this invention. Figure 9 This is a schematic diagram of the cutting tool and cam profile machining for a precision rotary table axial offset single-sided cam machining method proposed in this invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Example, refer to Figures 1-9 A method for machining a cam with axial offset on one side for a precision rotary table, the overall process is as follows: First, an axial offset segmented machining strategy is adopted, dividing the machining of the cam surface into left and right halves, and performing smoothing gradually in the middle position. Specifically, in the roughing stage, when roughing the left side surface, the center distance is set to the initial value, the tool diameter is smaller than the roller diameter, and the grinding wheel rotation center is offset to the right by a certain distance. The right side surface of the right half, the left side surface of the right half, and the left side surface of the left half are machined sequentially. The roughing method for the right side surface is similar to that for the left side surface. During the smoothing process in the middle position, the surface is smoothly connected by gradually adjusting the offset to 0. The x and z coordinates of the machining tool center remain fixed, while the y coordinate gradually decreases from the initial offset to 0 using a parabolic-straight-parabolic pattern. In the finishing stage, when finishing the left side surface, the center distance is set to the initial value, the tool diameter is equal to the roller diameter, the grinding wheel rotation center is fixed and offset to the left by a certain distance, and machining proceeds to the right. The finishing method for the right side surface is similar to that for the left side surface.

[0024] Next, dynamic offset adjustment technology is employed to dynamically adjust the offset of the grinding wheel's rotation center during the finishing process based on the machining progress and surface shape. By monitoring cutting forces and vibration parameters during machining, and combining this with a preset machining model, the offset is calculated and adjusted in real time. For example, when a sudden increase in cutting force is detected, the offset is reduced by 0.1 mm according to the preset model to reduce the cutting force and ensure machining stability.

[0025] Then, multi-axis linkage compensation technology is adopted to compensate for the small errors caused by single-axis interpolation on the basis of axial offset machining. Here, the additional micro-adjustment axis is selected as a rotary axis. When the error caused by single-axis interpolation is detected to be 0.02mm, the angle θ is adjusted by the rotary axis (according to the formula θ=arcsin(0.02 / R), where R is the machining radius. Assuming R=50mm, then θ=arcsin(0.02 / 50)≈0.023°) to compensate for the error.

[0026] Finally, intelligent error prediction and compensation technology is employed, based on big data analysis and machine learning algorithms, to predict potential errors during the machining process and adjust machining parameters in real time to compensate for these errors. During machining, high-precision sensors collect key parameters such as cutting force, vibration, temperature, and tool wear in real time, and perform data cleaning, noise reduction, and normalization preprocessing. An error prediction model is constructed using a support vector machine learning algorithm. This model predicts potential errors in the current machining step based on historical machining data and real-time collected parameters. Based on the output of the error prediction model, machining parameters are adjusted in real time to compensate for the predicted errors, and the actual machining results are fed back to the error prediction model for optimization and iteration.

[0027] The cam processed by the above method was tested and found to have a surface roughness of Ra0.4μm and a shape accuracy error controlled within ±0.005mm, meeting the requirements for high-precision machining.

[0028] Furthermore, during the roughing of the left side surface, the center distance is set to an initial value of 230mm, the tool diameter is set to 16mm (less than the roller diameter of 30mm), and the rightward offset distance of the grinding wheel rotation center is set to 1.5mm. The right half of the right side surface, the right half of the left side surface, and the left half of the left side surface are machined sequentially. For example, when machining the right half of the right side surface, the grinding wheel cuts according to the set offset distance and machining path, the depth of cut is set to 0.5mm based on the material hardness and machining requirements, and the feed rate is set to 100mm / min. The roughing method for the right side surface is similar to that for the left side surface, except that the offset direction of the grinding wheel rotation center is reversed.

[0029] At this point, the leftward offset distance of the grinding wheel rotation center is set to the roughing offset distance a minus the grinding amount b. The tool is processed from the middle position of the tool on the far left, and then the tool is moved to the far left again. The offset is set to a minus the grinding amount 2xb. Processing continues until 2b=a, that is, when the offset is 0, the left curved surface is processed.

[0030] Smoothing of the middle position At the intermediate position, a smooth transition of the curved surface is achieved by gradually adjusting the offset to 0. The x and z coordinates of the machining tool center remain fixed, while the y coordinate gradually decreases from an initial offset of 1.5 mm to 0 using a parabolic-straight-parabolic pattern. The formula is:

[0031] Here, assuming the turntable angle range is 0-180°, in stage 1 (0-60°), let... , , In stage 2 (60-120°), let... , In stage 3 (120-180°), let... , , .

[0032] This formula is used to calculate the y-value at different angles, thus achieving a smooth transition.

[0033] When finishing the left curved surface, set the center distance to the initial value of 230mm, the tool diameter to 30mm (equal to the roller diameter), and the grinding wheel rotation center to be fixed with a leftward offset of 0.6mm, machining to the right. The depth of cut is set to 0.2mm, and the feed rate is set to 50mm / min. The finishing method for the right curved surface is similar to that of the left, except that the grinding wheel rotation center offset direction is reversed.

[0034] The cam processed by this axial offset segmented machining strategy has a smooth transition in the middle position with no obvious tool marks. The surface roughness of the middle position reaches Ra0.6μm, which meets the machining requirements.

[0035] Furthermore, in the smoothing process at intermediate positions, the coordinate y follows a parabolic-straight-parabolic pattern. The formula is:

[0036] Assuming the turntable angle range In stage 1 (0-60°), assuming an initial offset of 1.5mm, what is the desired offset at 60°? Achieving 1.5mm, can be set , , ,but .

[0037] In stage 2 (60-120°), let... , Ensure within the range of 60-120° The value remains unchanged at 1.5 mm.

[0038] In stage 3 (120-180°), let... , , Then when hour, This achieves a smooth transition from the initial bias to 0.

[0039] The formula calculates the y-value at different angles, and the machining tool is controlled to move according to the calculation results. The transition at the middle position of the machined cam is natural, and the shape accuracy error of the transition area is controlled within ±0.003mm. In the dynamic offset adjustment technology, the offset is calculated and adjusted in real time by monitoring the cutting force and vibration parameters during the machining process and combining them with a preset machining model. For example, during the machining process, a cutting force sensor is used to monitor the cutting force in real time. When cutting force is detected When the value suddenly increases, according to the preset model, the cutting force and offset are... The following relationship exists: (in This is the normal cutting force. The proportionality constant is determined experimentally. (Assume...) , When cutting force is detected At that time, the current bias can be calculated. During normal processing, the offset should be 0.6mm. Therefore, the offset should be reduced. The diameter was adjusted to 0.6mm to reduce cutting force and ensure machining stability.

[0040] After dynamic offset adjustment, the cutting force fluctuation range during the machining process was reduced from ±15N to ±5N, the machining process became more stable, and the surface quality of the cam was significantly improved. The surface roughness was reduced from Ra0.8μm to Ra0.5μm.

[0041] In multi-axis linkage compensation technology, a rotary axis is selected as an additional fine adjustment axis. When an error of 0.02mm caused by single-axis interpolation is detected, the angle is adjusted via the rotary axis. To compensate for errors. Based on geometric relationships, the error... With processing radius and rotation angle Satisfy the formula ,but Assuming the machining radius ,error ,but During the machining process, when a single-axis interpolation error of 0.02mm is detected, the control system controls the rotary axis to rotate by 0.023° to compensate for the error. After multi-axis linkage compensation, the shape accuracy error of the cam is reduced from ±0.01mm to ±0.003mm, significantly improving the machining accuracy.

[0042] Furthermore, in the intelligent error prediction and compensation technology, the data acquisition and preprocessing steps are as follows: During the machining process, key parameters such as cutting force, vibration, temperature, and tool wear are collected in real time using high-precision sensors. For example, a cutting force sensor is used to collect cutting force data, with a sampling frequency set to 1000Hz; a vibration sensor is used to collect vibration data, with a sampling frequency set to 2000Hz; a temperature sensor is used to collect temperature data, with a sampling frequency set to 100Hz; and a tool wear detector is used to collect tool wear data, collected every 10 minutes.

[0043] The collected data may contain noise and outliers, requiring data cleaning, denoising, and normalization preprocessing. For cutting force data, a moving average filter is used for denoising, with a filter window size of 10. For vibration data, wavelet transform is used for denoising. Data normalization employs the min-max normalization method, mapping the data to the [0,1] interval, as shown in the formula:

[0044] in, The original data, and These are the minimum and maximum values ​​of the data, respectively.

[0045] The preprocessed data is more accurate and standardized, providing a reliable data foundation for the subsequent construction of error prediction models.

[0046] Furthermore, in the intelligent error prediction and compensation technology, a support vector machine learning algorithm is used to construct an error prediction model. First, historical machining data is collected, including cutting force, vibration, temperature, tool wear parameters, and corresponding actual machining errors under different machining parameters. The historical data is divided into a training set (70%) and a test set (30%).

[0047] The support vector machine model is trained using the training set data. A suitable kernel function (such as radial basis function RBF) is selected, and the optimal parameters of the model, such as the penalty parameter C and the kernel function parameter γ, are determined through cross-validation. During training, the model parameters are continuously adjusted to minimize the prediction error of the model on the training set.

[0048] After training, the model is evaluated using test set data, and metrics such as prediction accuracy and mean squared error are calculated. If the prediction accuracy reaches over 90% and the mean squared error is less than 0.001, the model is considered to perform well and can be used for error prediction in actual processing.

[0049] This error prediction model can accurately predict the errors that may occur in the current processing step based on the parameters collected in real time, providing a basis for real-time compensation control.

[0050] Furthermore, in the intelligent error prediction and compensation technology, the real-time compensation control steps are as follows: Based on the output of the error prediction model, the machining parameters are adjusted in real time to compensate for the predicted error. For example, when the error prediction model predicts that the current machining step may produce an error of 0.01mm in the x-direction, the control system automatically adjusts the feed rate of the x-axis, reducing the feed rate by 0.01mm to compensate for the predicted error.

[0051] Simultaneously, the actual processing results are fed back to the error prediction model for optimization and iteration. After each processing step, the actual processing error is compared with the predicted error to calculate the error difference. If the error difference is large, it indicates that the model prediction is inaccurate, and the model parameters need to be readjusted. Based on the error difference, optimization algorithms such as gradient descent are used to update the model parameters, enabling the model to better adapt to the actual processing conditions.

[0052] Through real-time compensation control and iterative model optimization, errors during the machining process are compensated in a timely manner, and the machining accuracy of the cam is continuously improved. After multiple machining and optimization processes, the shape accuracy error of the cam is stabilized within ±0.002mm.

[0053] Furthermore, during the roughing stage, the initial center distance for the left side surface is set to 230mm, the tool diameter to 16mm, and the rightward offset of the grinding wheel rotation center to 1.5mm. Cutting is performed according to the set machining path, with a depth of cut of 0.5mm and a feed rate of 100mm / min. The right side surface of the right half, the left side surface of the right half, and the left side surface of the left half are then machined sequentially.

[0054] During the finishing stage, for the left curved surface, the initial center distance is set to 230mm, the tool diameter is set to 30mm, and the grinding wheel rotation center is fixed with a leftward offset of 0.6mm, while machining proceeds to the right. The depth of cut is set to 0.2mm, and the feed rate is set to 50mm / min. The roughing and finishing methods for the right curved surface are similar to those for the left curved surface, except that the offset direction of the grinding wheel rotation center is reversed.

[0055] After processing under these specific parameter settings, the machined cam was inspected and found to have a surface roughness of Ra0.5μm and a shape accuracy error controlled within ±0.004mm, meeting the processing requirements.

[0056] Furthermore, this method is applicable to cam machining with a center distance of 232mm and a roller diameter of 30mm. Before machining, the initial parameters of the machining equipment are set according to the parameters of the cam. For example, the center distance is set to 232mm, and the tool size diameter is determined according to the machining stage: less than 30mm for roughing and equal to 30mm for finishing.

[0057] The machining process follows the above method, including steps such as axial offset segmented machining, dynamic offset adjustment, multi-axis linkage compensation, and intelligent error prediction and compensation. During the machining process, various machining parameters are adjusted appropriately according to the specific shape of the cam and the machining requirements.

[0058] After processing, the cam with a center distance of 232mm and a roller diameter of 30mm was inspected. All its accuracy indicators met the design requirements, the surface roughness reached Ra0.4μm, and the shape accuracy error was controlled within ±0.003mm, proving the applicability and effectiveness of the method for processing this type of cam.

[0059] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for machining a cam with axial offset on one side for a precision rotary table, characterized in that, Includes the following steps: An axial offset segmented machining strategy is adopted, which divides the machining of the cam surface into the left half and the right half and performs them separately, and then gradually smooths them in the middle position. Dynamic offset adjustment technology is adopted to dynamically adjust the offset of the grinding wheel rotation center according to the machining progress and surface shape during the finishing process; Multi-axis linkage compensation technology is adopted, and an additional micro-adjustment axis is used to compensate for the small errors caused by single-axis interpolation on the basis of axial offset machining. By employing intelligent error prediction and compensation technology, based on big data analysis and machine learning algorithms, errors that may occur during the processing are predicted, and processing parameters are adjusted in real time to compensate for the errors.

2. The method for machining a precision rotary table with a cam axially offset on one side according to claim 1, characterized in that, The axial offset segmented machining strategy specifically includes: Roughing stage: When roughing the curved surfaces on the left and right sides of the right half, set the center distance as the initial value, the tool diameter is smaller than the roller diameter but larger than 1 / 2 of the roller diameter, and the grinding wheel rotation center is offset to the right by a certain distance. When roughing the curved surfaces on the left and right sides of the left half, set the center distance as the initial value, smaller than the roller diameter but larger than 1 / 2 of the roller diameter, and the grinding wheel rotation center is offset to the left by a certain distance. Smoothing at intermediate positions: At intermediate positions, the surface is smoothly connected by gradually adjusting the offset to 0. The x and z coordinates of the machining tool center remain unchanged, while the y coordinate gradually decreases from the initial offset to 0 using a parabolic-straight-parabolic pattern. Finishing stage: When finishing the left half of the right side curved surface, set the center distance as the initial value, the tool diameter is equal to the roller diameter, and the leftward offset distance of the grinding wheel rotation center is set as the roughing offset distance a minus the grinding amount b. The tool is machined from the leftmost position to the middle position, and then the tool is moved to the leftmost position again. The offset is set as a minus the grinding amount 2xb. Continue machining until 2b=a, that is, when the offset is 0, the left side curved surface is finished, and machining proceeds to the right. The finishing method of the left side of the right half curved surface is similar to that of the left half of the right side curved surface.

3. The method for machining a precision rotary table with a cam axially offset on one side according to claim 2, characterized in that, The formula for the coordinate y in the smoothing process of the intermediate position, which follows a parabolic-straight-parabolic pattern, is as follows: ； in, For the angle of the turntable, , , , , , , , The coefficients are determined based on specific processing conditions to ensure that... hour, To achieve a smooth transition.

4. The method for machining a precision rotary table with a cam axially offset on one side according to claim 1, characterized in that, In the aforementioned dynamic offset adjustment technology, the offset is calculated and adjusted in real time by monitoring the cutting force and vibration parameters during the machining process and combining them with a preset machining model.

5. The method for machining a cam with axial offset on one side for a precision rotary table according to claim 1, characterized in that, In the multi-axis linkage compensation technology, the additional micro-adjustment axis is a rotation axis or a tilt axis.

6. The method for machining a cam with axial offset on one side for a precision rotary table according to claim 1, characterized in that, The data acquisition and preprocessing steps in the intelligent error prediction and compensation technology are as follows: During the machining process, key parameters such as cutting force, vibration, temperature, and tool wear are collected in real time by high-precision sensors, and data cleaning, noise reduction, and normalization preprocessing are performed.

7. A method for machining a precision rotary table with a cam axially offset on one side according to claim 6, characterized in that, The steps for constructing the error prediction model in the intelligent error prediction and compensation technology are as follows: an error prediction model is constructed using a support vector machine or neural network machine learning algorithm. This model predicts the possible errors that may occur in the current processing step based on historical processing data and real-time collected parameters.

8. A method for machining a cam with axial offset on one side for a precision rotary table according to claim 7, characterized in that, The real-time compensation control step in the intelligent error prediction and compensation technology is as follows: based on the output of the error prediction model, the processing parameters are adjusted in real time to compensate for the predicted error, and the actual processing results are fed back to the error prediction model for model optimization and iteration.

9. A method for machining a cam with axial offset on one side for a precision rotary table according to claim 2, characterized in that, Taking the machining of a cam with a center distance of 230mm and a roller diameter of 30mm as an example, during the roughing stage, when roughing the left curved surface, the initial center distance is set to 230mm, the tool diameter is set to 16mm, and the rightward offset distance of the grinding wheel rotation center is set to 1.5mm; during the finishing stage, when finishing the left curved surface, the initial center distance is set to 230mm, the tool diameter is set to 30mm, and the leftward offset distance of the grinding wheel rotation center is fixed and gradually reduced from 1.5mm to 0.

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