CN108733878B - Method for establishing cutting force prediction model for high-speed machining of high-manganese steel material - Google Patents
Method for establishing cutting force prediction model for high-speed machining of high-manganese steel material Download PDFInfo
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- CN108733878B CN108733878B CN201810320539.3A CN201810320539A CN108733878B CN 108733878 B CN108733878 B CN 108733878B CN 201810320539 A CN201810320539 A CN 201810320539A CN 108733878 B CN108733878 B CN 108733878B
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Abstract
The invention discloses a method for establishing a cutting force prediction model for high-speed machining of a high-manganese steel material, which comprises the following steps of: s1, in a series of high-speed cutting tests on a numerical control machine tool, obtaining a dynamic test curve and test data of a series of three-way cutting force test values and cutting parameters; s2, analyzing the dynamic test curve and carrying out validation processing on the test data to determine effective test cutting force values, and carrying out averaging calculation on the obtained effective test cutting force values to obtain the average value of the cutting force of each test; and S3, predicting the cutting force variation trend by adopting a statistical analysis method according to the average value of the cutting force, and obtaining a cutting force prediction model under a specific test condition. The invention can provide help for prolonging the service life of the cutter and giving full play to the potential of the cutter, is beneficial to reducing the cost consumed by processing and manufacturing tools and increasing the production profit.
Description
Technical Field
The invention belongs to the technical field of numerical control machine tool machining, and particularly relates to a method for establishing a cutting force prediction model for high-speed machining of a high-toughness material.
Background
Due to the complexity of the high-speed cutting process, a plurality of factors influencing cutting deformation exist, the deformation hardening effect exists, the high-temperature softening effect exists, the influence of factors such as the properties of workpieces and tools made of different materials, the geometrical parameters of the tools and the like, and the cutting force is different, so that a general calculation formula of the cutting force of various metal materials is difficult to obtain by using the prior art.
Disclosure of Invention
The invention aims to provide a method for establishing a cutting force prediction model for high-speed machining of a high-manganese steel material, and aims to obtain a cutting force calculation formula for high-speed machining of the high-manganese steel material on the basis of a test and provide a more accurate cutting force calculation method for high-speed cutting machining of a difficult-to-machine material.
The invention is realized in such a way, and provides a method for establishing a cutting force prediction model for high-speed machining of a high-toughness steel material, which comprises the following steps:
s1, in a series of high-speed cutting tests on a numerical control machine tool, obtaining a dynamic test curve and test data of a series of three-way cutting force test values and cutting parameters;
s2, analyzing the dynamic test curve and carrying out validation processing on the test data to determine effective test cutting force values, and carrying out averaging calculation on the obtained effective test cutting force values to obtain the average value of the cutting force of each test;
and S3, predicting the cutting force variation trend by adopting a statistical analysis method according to the average value of the cutting force, and obtaining a cutting force prediction model under a specific test condition.
Preferably, the three-way cutting force is respectively a feeding motion direction cutting force F with the direction parallel to the main shaft of the machine tool x Radial cutting force F in a direction perpendicular to the machine spindle y And a main cutting force F in the same direction as the main speed of movement z (ii) a The cutting parameter is cutting speed v c And a feed amount f.
Preferably, in step S3, the predicting the trend of the cutting force by using the statistical analysis method specifically includes: and marking the distribution characteristic of the sub-cutting force and the cutting amount according to the average value of the cutting force to determine as a linear model, and obtaining a cutting force prediction model by adopting a least square method technology.
Preferably, in step S3, the formula of the high-speed cutting force calculation model is specifically:
in the above formula, F x Cutting force for feed direction, F y For radial cutting forces, F z Is the main cutting force, v c F is the feed rate.
Compared with the defects and shortcomings of the prior art, the invention has the following beneficial effects:
(1) firstly, in the aspect of process design, the invention can ensure that the design of a high-speed and high-efficiency cutting processing process scheme of related metal materials is more reasonable; in the aspect of processing and manufacturing, the method can calculate and predict the process parameters according to the processing precision requirement and the surface quality requirement of the part and the related stress deformation rule, and reasonably determines the cutting amount, thereby being beneficial to ensuring the processing quality; finally, in the aspect of tool design, the invention can provide calculation basis for the structural design of the clamp and the cutter in the cutting process under certain process conditions and the determination of geometric parameters.
(2) The invention can provide support for the development and application of other high-speed cutting technologies, better play the potential of a high-speed machine tool and improve the technical and economic benefits of enterprises; in addition, the invention can provide help for prolonging the service life of the cutter and fully exerting the potential of the cutter, is beneficial to reducing the cost consumed by processing and manufacturing tools and increasing the production profit.
Drawings
FIG. 1 shows a longitudinal force F according to an embodiment of the invention x A distribution geometric point diagram of the model and the cutting amount;
FIG. 2 shows radial force F according to an embodiment of the invention y A distribution geometric point diagram of the model and the cutting amount;
FIG. 3 shows the main cutting force F in an embodiment of the invention z And a distribution geometric point diagram of the model and the cutting amount.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The invention discloses a method for establishing a cutting force prediction model for high-speed machining of a high-manganese steel material, which comprises the following steps of:
s1, in a series of high-speed cutting tests on a numerical control machine tool, obtaining a dynamic test curve and test data of a series of three-way cutting force test values and cutting parameters;
s2, analyzing the dynamic test curve and carrying out validation processing on the test data to determine effective test cutting force values, and carrying out averaging calculation on the obtained effective test cutting force values to obtain the average value of the cutting force of each test;
and S3, predicting the cutting force variation trend by adopting a statistical analysis method according to the average value of the cutting force, and obtaining a cutting force prediction model under a specific test condition.
In step S1, a series of high-speed cutting tests are performed on the nc machine tool to determine a dynamic test curve and test data of the cutting force applied to the tool and the cutting parameters used during the cutting test, and a series of three-dimensional cutting forces (F) is obtained x 、F y 、F z ) Test values of (2).
The design of experimental scheme, high-speed cutting is carried out to high manganese steel material with cermet cutter, adopts three-dimensional piezoelectric crystal dynamometer to measure cutting force F of three mutually perpendicular directions x 、F y And F z By varying the cutting speed v c And the feed amount f to carry out a cutting test, and actually measuring a corresponding dynamic cutting force value.
Cutting force, F x -cutting force in the direction of the feed motion, parallel to the machine spindle, in newtons (N); f y -is the radial cutting force, directed perpendicular to the machine spindle, in newtons (N); f z The main cutting force is in the same direction as the main movement speed. The direction relationship of the three cutting forces conforms to the right-hand screw rule, and the three forces are respectively the interaction forces between the workpiece and the cutter blade in the cutting process.
As shown in fig. 1, is the longitudinal force F x Measured point distribution value and cutting force F x Fitting geometric model, distributing blue points as cutting force test points, and grid chart as cutting force plane model chart by comparing cutting force F x Mean value of the experimental measurements and cutting speed v c And the point distribution of the feed amount f, and a fitted geometric model, and the cutting force is predicted to be a linear model of the two variables according to the geometric model.
As shown in fig. 2, is the radial force F y Measured point distribution value and cutting force F y And (4) fitting the model, wherein the distributed blue points are cutting force test points, and the grid graph is a cutting force plane model graph.
As shown in fig. 3, is the main cutting force F z Measured point distribution value and cutting force F z And (4) fitting the model, wherein the distributed blue points are cutting force test points, and the grid graph is a cutting force plane model graph.
In step S2, an effective test cutting force value is determined through analysis of the dynamic cutting force curve and validation processing of the test data. Because each measurement process is a dynamic value, a certain technical method is adopted to carry out averaging calculation on numerous data, and the average value of the cutting force of each test is obtained.
In step S3, the type of mathematical model of cutting force, cutting speed and feed is determined based on the prediction of the average value and distribution point of each measured value in the series of tests, and then the coefficients of the mathematical model are fitted with the test values of cutting force and cutting amount parameters
According to a point diagram of three-way cutting force test value distribution and a plane grid model which is fitted with cutting amount parameters, a binary linear regression model is adopted, fitting operation is carried out by a least square method to determine a regression coefficient of the model, and finally a prediction model for calculating the three-way cutting force during high-speed cutting is obtained, wherein the prediction model is as follows:
in the above formula, F x Cutting force for feed direction, F y For radial cutting forces, F z Is the main cutting force, v c F is the feed rate.
The cutting force calculation formula for high-speed machining of the high-manganese steel material is obtained on the basis of the test, and a more accurate cutting force calculation method can be provided for high-speed cutting machining of materials difficult to machine; the invention has practical significance for selecting high-speed cutting process method and technical parameters, ensuring processing quality and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (4)
1. A method for establishing a cutting force prediction model for high-speed machining of high-toughness steel materials is characterized by comprising the following steps:
s1, in a series of high-speed cutting tests on a numerical control machine tool, obtaining a dynamic test curve and test data of a series of three-way cutting force test values and cutting parameters;
s2, analyzing the dynamic test curve and carrying out validation processing on the test data to determine effective test cutting force values, and carrying out averaging calculation on the obtained effective test cutting force values to obtain the average value of the cutting force of each test;
and S3, predicting the cutting force variation trend by adopting a statistical analysis method according to the average value of the cutting force, and obtaining a cutting force prediction model under a specific test condition.
2. The method for establishing a predictive model of cutting force in high-speed machining of high-toughness steel materials as claimed in claim 1, wherein said three-directional cutting forces are respectively cutting forces F in the direction of feed motion parallel to the main axis of the machine tool x Radial cutting force F in a direction perpendicular to the machine spindle y And a main cutting force F in the same direction as the main movement speed z (ii) a The cutting parameter is cutting speed v c And a feed amount f.
3. The method for establishing a cutting force prediction model for high-speed machining of high-toughness steel materials according to claim 1, wherein in step S3, the predicting the cutting force variation trend by using the statistical analysis method specifically comprises: and marking the distribution characteristic of the sub-cutting force and the cutting amount according to the average value of the cutting force to determine as a linear model, and obtaining a cutting force prediction model by adopting a least square method technology.
4. The method for building a predictive model of cutting force for high-speed machining of high-toughness steel material as claimed in claim 1, wherein in step S3, said high-speed cutting force calculation model formula is specifically:
in the above formula, F x Cutting force for feed direction, F y For radial cutting forces, F z Is the main cutting force, v c F is the feed amount.
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Citations (3)
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| CN102566492A (en) * | 2012-01-13 | 2012-07-11 | 华中科技大学 | Method for forecasting maximum milling force for plunge milling of metal difficult-to-cut materials |
| JP2016162149A (en) * | 2015-02-28 | 2016-09-05 | 国立大学法人神戸大学 | Cutting force adaptive control method and cutting force adaptive control system |
| CN107330197A (en) * | 2017-07-03 | 2017-11-07 | 哈尔滨理工大学 | A kind of optimization method of the lower cutting high temperature alloy Predictive Model of Cutting Force of high pressure cooling |
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| CN102566492A (en) * | 2012-01-13 | 2012-07-11 | 华中科技大学 | Method for forecasting maximum milling force for plunge milling of metal difficult-to-cut materials |
| JP2016162149A (en) * | 2015-02-28 | 2016-09-05 | 国立大学法人神戸大学 | Cutting force adaptive control method and cutting force adaptive control system |
| CN107330197A (en) * | 2017-07-03 | 2017-11-07 | 哈尔滨理工大学 | A kind of optimization method of the lower cutting high temperature alloy Predictive Model of Cutting Force of high pressure cooling |
Non-Patent Citations (2)
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| 高强钢PCrNi3MoVA数控铣削工艺试验数据处理技术研究;姜合萍等;《新技术新工艺》;20160225(第02期);全文 * |
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