CN117359336A - Floating assembly device for conical surface high-precision machining - Google Patents
Floating assembly device for conical surface high-precision machining Download PDFInfo
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- 238000003754 machining Methods 0.000 title claims abstract description 37
- 238000012545 processing Methods 0.000 claims abstract description 187
- 238000005520 cutting process Methods 0.000 claims abstract description 26
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q3/00—Devices holding, supporting, or positioning work or tools, of a kind normally removable from the machine
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/002—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring the holding action of work or tool holders
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Abstract
The invention relates to the field of intelligent machining, in particular to a conical surface high-precision machining floating assembly device, which is characterized in that a machining module, a monitoring module, a data processing module and a control module are arranged, a cutter unit vibration value and audio generated by a contact part of the cutter unit and a workpiece are collected through a detection module, a vibration influence coefficient is calculated through the data processing module according to the cutter unit vibration value and the current cutting depth of the cutter unit, the vibration influence state of the machining module is divided, the control module adjusts the machining parameters of the machining module according to the vibration influence coefficient in a strong vibration influence state, and the machining parameters of the machining module are adjusted through an audio fluctuation representation value with stronger representation in the weak vibration influence state; according to the invention, automatic control is realized through the control module, and the processing parameters of the processing module are adjusted, so that the processing precision is improved, and the problems of poor workpiece surface precision and easy damage of a cutter in the production process are reduced.
Description
Technical Field
The invention relates to the field of intelligent machining, in particular to a floating assembly device for high-precision machining of conical surfaces.
Background
Along with the development of modern industry, the processing requirements on high-precision parts are higher and higher, wherein conical surface processing is a key process, the appearance of a high-precision floating assembly device improves the processing quality and the assembly precision of the conical surface parts, reduces vibration and noise in the assembly process, and improves the reliability and the stability of the whole assembly.
Chinese patent publication No.: CN114988679a, the invention discloses the following, the invention relates to the control field of parts, components or accessories of the machine tool, in particular to an intelligent feed control method of a glass cutting machine tool, which is a control method for manufacturing other metal processing machines such as the device manufacturing of the industrial automatic control system, the field bus control system of the machine tool, the programmable control system of the machine tool, etc.; the moving speed and the cutting force of the current cutter and the vibration intensity of the x axis and the y axis are obtained, so that the stability of the current cutter is obtained; determining an impact index of the tool based on the current tool movement speed and the stability of the tool; determining the current edge breakage degree of the glass based on the impact index and the current travel of the cutter; acquiring the generated edge breakage degree, the residual travel and the current edge breakage degree, and estimating the total edge breakage degree of the glass; and calculating the total edge breakage degree and setting deviation of the edge breakage degree, and adjusting the moving speed of the cutter by using the deviation. According to the scheme, the glass can be cut and controlled, and the problem that the glass is unqualified due to edge breakage is avoided.
However, the prior art has the following problems:
in actual conditions, tiny vibration inevitably exists in a workpiece machining production place, and particularly when machining a conical surface, the problem that the precision of the workpiece surface is poor and the cutter is easy to damage in the production process can be caused due to the influence of vibration on the cutter.
Disclosure of Invention
Therefore, the invention provides a floating assembly device for high-precision machining of a conical surface, which is used for solving the problems that in the actual situation, tiny vibration is unavoidable in a workpiece machining production place, and particularly, the precision of the workpiece surface is poor and the cutter is easy to damage in the production process due to the influence of vibration on the cutter when the conical surface is machined.
In order to achieve the above object, the present invention provides a floating assembly device for high precision machining of a conical surface, comprising:
the processing module comprises a clamping unit used for clamping and driving a workpiece to rotate and a cutter unit used for cutting the workpiece;
the detection module comprises a vibration detection unit and a sound reception unit, wherein the vibration detection unit is arranged on the cutter unit and used for detecting the vibration value of the cutter unit, and the sound reception unit is arranged on one side of the cutter unit and used for acquiring the audio generated by the contact part of the cutter unit and a workpiece;
the data processing module is respectively connected with the detection module and used for acquiring the vibration value of the cutter unit and the current cutting depth of the cutter unit so as to calculate the vibration influence coefficient and divide the current vibration influence state of the processing module;
the control module is respectively connected with the detection module, the processing module and the data processing module and is used for adjusting the processing parameters of the processing module according to the vibration influence state of the processing module, and comprises,
acquiring audio data received by a radio unit, constructing an audio signal time domain waveform image every a preset time length, extracting basic audio features, calculating an audio fluctuation characterization value, and adjusting processing parameters of the processing module based on the audio fluctuation characterization value;
or, adjusting the processing parameters of the processing module according to the vibration influence coefficient;
wherein the processing parameters include a moving speed of the tool unit and a rotational speed of the clamping unit.
Further, the data processing module calculates a vibration influence coefficient based on the cutter unit vibration value and a current cutting depth of the cutter unit, wherein,
the data processing module calculates a vibration influence coefficient C according to formula (1),
in the formula (1), V represents an average vibration value of the cutter unit within a preset time period, V0 represents a preset standard vibration parameter, D represents a current cutting depth of the cutter unit, and D0 represents a preset standard cutting parameter.
Further, the process of the data processing module to divide the current vibration influencing state of the processing module based on the vibration influencing coefficients includes,
the data processing module compares the vibration influence coefficient with a preset first standard coefficient comparison threshold value,
if the vibration influence coefficient is greater than or equal to the first standard coefficient comparison threshold, the data processing module divides the current vibration influence state of the processing module into strong vibration influence states;
and if the vibration influence coefficient is smaller than the first standard coefficient comparison threshold, the data processing module divides the current vibration influence state of the processing module into weak vibration influence states.
Further, the control module selects a mode of adjusting the processing module according to the vibration influence state of the processing module, and the selecting process comprises,
if the data processing module divides the vibration influence state of the processing module into a weak vibration influence state, the control module acquires audio data received by the radio unit, constructs an audio signal time domain waveform image every a preset time length, extracts basic audio features, calculates an audio fluctuation representation value, and adjusts processing parameters of the processing module based on the audio fluctuation representation value;
and if the data processing module divides the vibration influence state of the processing module into a strong vibration influence state, the control module adjusts the processing parameters of the processing module according to the vibration influence coefficient.
Further, the process of extracting the basic audio features by the control module comprises,
the control module extracts an average amplitude value and an average wavelength in the audio signal time domain waveform image.
Further, the control module calculates an audio fluctuation characterization value based on the base audio feature, wherein,
the control module calculates an audio fluctuation characterizing value G according to formula (2),
in the formula (2), H represents an average wavelength, H0 represents a preset standard wavelength parameter, Δh represents an average amplitude, hi represents an amplitude of an i-th peak in the time domain waveform image of the audio signal, and n represents the number of peaks.
Further, the process of the control module adjusting the processing parameters of the processing module based on the audio fluctuation characterizing value includes,
the control module controls the audio fluctuation representation value and the processing parameter of the processing module to form an inverse relation.
Further, the process of the control module adjusting the process parameters of the process module based on the vibration influence coefficient includes,
the control module adjusts the processing parameters of the processing module, and the adjustment amount of the processing parameters of the processing module is determined by the control module based on the vibration influence coefficient.
Further, the display module is connected with the detection module and used for displaying the data detected by the detection module.
Further, the robot arm is connected with the control module and used for grabbing the workpiece and placing the workpiece in a target assembly area.
Compared with the prior art, the processing module, the monitoring module, the data processing module and the control module are arranged, the detection module is used for collecting the vibration value of the cutter unit and the audio frequency generated by the contact part of the cutter unit and the workpiece, the data processing module is used for calculating the vibration influence coefficient according to the vibration value of the cutter unit and the current cutting depth of the cutter unit and dividing the vibration influence state of the processing module, the control module is used for adjusting the processing parameter of the processing module according to the vibration influence coefficient in the strong vibration influence state, and the processing parameter of the processing module is adjusted through the audio frequency fluctuation representation value with stronger representation in the weak vibration influence state; according to the invention, automatic control is realized through the control module, and the processing parameters of the processing module are adjusted, so that the processing precision is improved, and the problems of poor workpiece surface precision and easy damage of a cutter in the production process are reduced.
Particularly, in the invention, the data processing module calculates the vibration influence coefficient and divides the current vibration influence state of the processing module, in the actual situation, tiny vibration is unavoidable in a workpiece processing production place, particularly, the influence of vibration on a cutter during the processing of a conical surface can cause poor surface precision of the workpiece in the production process, and the conical surface is usually processed by layer-by-layer cutting, the influence caused by vibration is amplified when the cutting depth of the current cutter is large, so that the factors are considered through the vibration influence coefficient, the vibration influence state of the processing module is divided, data support is provided for the processing parameters of the processing module automatically controlled by the follow-up control module, and further, the problem that the influence of vibration on the cutter during the processing is reduced, the surface precision of the workpiece in the production process is poor, and the cutter is easy to damage is solved.
In particular, the control module extracts basic audio characteristics to calculate an audio fluctuation characterization value when the processing module is in a weak vibration influence state, and adjusts processing parameters of the processing module based on the audio fluctuation characterization value, wherein the audio fluctuation characterization value considers the average wavelength and the discrete degree of wave peaks in a time domain waveform image of an audio signal, the change of the audio signal is related to the influence of vibration, so that the vibration condition is characterized, the data characterization of the vibration value is weak in the weak vibration influence state, and the data characterization of the audio fluctuation characterization value is obvious in audio frequency during processing, so that the processing parameters of the processing module are adjusted based on the audio fluctuation characterization value, and the control of the processing parameters is more accurate.
In particular, the control module adjusts the processing parameters of the processing module according to the vibration influence coefficient when the processing module is in a strong vibration influence state, and in the state, the data representation of the vibration value is strong, so that the processing parameters of the processing module are adaptively and automatically adjusted based on the vibration influence coefficient to adapt to the current processing environment, further, the influence of vibration on a cutter during processing is reduced, and the problems that the surface precision of a workpiece is poor and the cutter is easy to damage in the production process are solved.
Drawings
FIG. 1 is a schematic diagram of a floating assembly device for high-precision conical surface machining in an embodiment of the invention;
FIG. 2 is a flow chart of dividing vibration influencing states according to an embodiment of the invention;
FIG. 3 is a flow chart of a selected adjustment process module mode according to an embodiment of the invention;
fig. 4 is a schematic diagram of a time domain waveform image of an audio signal according to an embodiment of the invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 to 4, there are respectively a schematic structural diagram of a conical surface high-precision machining floating assembly device, a flow chart for dividing vibration influence states, a flow chart for selecting a mode of adjusting a machining module, and a schematic time domain waveform image of an audio signal according to an embodiment of the present invention, where the conical surface high-precision machining floating assembly device includes:
the processing module comprises a clamping unit used for clamping and driving a workpiece to rotate and a cutter unit used for cutting the workpiece;
the detection module comprises a vibration detection unit and a sound reception unit, wherein the vibration detection unit is arranged on the cutter unit and used for detecting the vibration value of the cutter unit, and the sound reception unit is arranged on one side of the cutter unit and used for acquiring the audio generated by the contact part of the cutter unit and a workpiece;
the data processing module is respectively connected with the detection module and used for acquiring the vibration value of the cutter unit and the current cutting depth of the cutter unit so as to calculate the vibration influence coefficient and divide the current vibration influence state of the processing module;
the control module is respectively connected with the detection module, the processing module and the data processing module and is used for adjusting the processing parameters of the processing module according to the vibration influence state of the processing module, and comprises,
acquiring audio data received by a radio unit, constructing an audio signal time domain waveform image every a preset time length, extracting basic audio features, calculating an audio fluctuation characterization value, and adjusting processing parameters of the processing module based on the audio fluctuation characterization value;
or, adjusting the processing parameters of the processing module according to the vibration influence coefficient;
wherein the processing parameters include a moving speed of the tool unit and a rotational speed of the clamping unit.
Specifically, the specific structure of the processing module is not limited, the processing module can be a numerical control machine tool comprising a cutter and a clamp, and can also be in other forms, which is the prior art and is not repeated.
Specifically, the invention does not limit the specific structure of the vibration detection unit, the vibration detection unit can be a vibration sensor, and the invention also does not limit the specific structure of the sound receiving unit, and the sound receiving unit only needs to receive sound, which is the prior art and is not repeated.
In particular, the present invention is not limited to the structure of the data processing module and the control module, and the data processing module may be constituted by a logic component including a field programmable part, a computer, or a microprocessor in a computer.
Specifically, the method for constructing the time domain waveform image of the audio signal is not specifically limited, the time domain waveform image of the audio signal is a time-dependent change curve of the audio signal frequency, which is the prior art and will not be repeated.
Specifically, the method for obtaining the cutting depth of the cutter unit by the data processing module is not particularly limited, and in actual situations, numerical control data of the processing module can be obtained, so that the cutting depth of the cutter unit is obtained, which is not described herein.
In particular, the data processing module calculates a vibration influence coefficient based on the tool unit vibration value and the current cutting depth of the tool unit, wherein,
the data processing module calculates a vibration influence coefficient C according to formula (1),
in the formula (1), V represents an average vibration value of the cutter unit within a preset period, V0 represents a preset standard vibration parameter, D represents a current cutting depth of the cutter unit, and D0 represents a preset standard cutting parameter.
Specifically, the standard vibration parameter V0 preset in the present embodiment is obtained by detection in advance, in which the average value Δv of the vibration values detected by the vibration detecting unit during the normal operation of the processing module in the predetermined period is measured, v0=α×Δv is set, and α represents the precision coefficient, 1.25 < α < 1.5.
Specifically, the standard cutting parameters preset in the present embodiment are set in the section [1,5] in cm.
Specifically, in the present embodiment, the predetermined period is set to not less than 200h.
In particular, with continued reference to fig. 2, the process of the data processing module dividing the current vibration influencing state of the processing module based on the vibration influencing coefficients includes,
the data processing module compares the vibration influence coefficient C with a preset first standard coefficient comparison threshold C1,
if the vibration influence coefficient is greater than or equal to the first standard coefficient comparison threshold, the data processing module divides the current vibration influence state of the processing module into strong vibration influence states;
and if the vibration influence coefficient is smaller than the first standard coefficient comparison threshold, the data processing module divides the current vibration influence state of the processing module into weak vibration influence states.
Specifically, in the invention, the data processing module calculates the vibration influence coefficient and divides the current vibration influence state of the processing module, in the actual situation, tiny vibration is unavoidable in a workpiece processing production place, particularly, the influence of vibration on a cutter during the processing of a conical surface can cause poor surface precision of the workpiece in the production process, and the conical surface is usually processed by layer-by-layer cutting, the influence caused by vibration is amplified when the cutting depth of the current cutter is large, so that the factors are considered through the vibration influence coefficient, the vibration influence state of the processing module is divided, data support is provided for the processing parameters of the processing module automatically controlled by the follow-up control module, and further, the problem that the influence of vibration on the cutter during the processing is reduced, the surface precision of the workpiece in the production process is poor, and the cutter is easy to damage is solved.
Specifically, in the present embodiment, the vibration influence coefficient C is calculated under the condition that the first standard coefficient comparison threshold C1 is v=v0, d=d0.
In particular, with continued reference to fig. 3, the control module selects a manner of adjusting the process module based on the vibration-affected state of the process module, the selecting process including,
if the data processing module divides the vibration influence state of the processing module into a weak vibration influence state, the control module acquires audio data received by the radio unit, constructs an audio signal time domain waveform image every a preset time length, extracts basic audio features, calculates an audio fluctuation representation value, and adjusts processing parameters of the processing module based on the audio fluctuation representation value;
and if the data processing module divides the vibration influence state of the processing module into a strong vibration influence state, the control module adjusts the processing parameters of the processing module according to the vibration influence coefficient.
Specifically, the control module extracts basic audio characteristics to calculate an audio fluctuation characterization value when the processing module is in a weak vibration influence state, and adjusts processing parameters of the processing module based on the audio fluctuation characterization value, wherein the audio fluctuation characterization value considers the average wavelength and the discrete degree of wave peaks in a time domain waveform image of an audio signal, the change of the audio signal is related to the influence of vibration, so that the vibration condition is characterized, the data characterization of the vibration value is weak in the weak vibration influence state, and the data characterization of the audio fluctuation characterization value is obvious in audio frequency during processing, so that the processing parameters of the processing module are adjusted based on the audio fluctuation characterization value, and the control of the processing parameters is more accurate.
Specifically, the control module adjusts the processing parameters of the processing module according to the vibration influence coefficient when the processing module is in a strong vibration influence state, and in the state, the data representation of the vibration value is strong, so that the processing parameters of the processing module are adaptively and automatically adjusted based on the vibration influence coefficient to adapt to the current processing environment, the influence of vibration on a cutter during processing is further reduced, and the problems that the surface precision of a workpiece is poor and the cutter is easy to damage in the production process are solved.
In particular, the process of extracting basic audio features by the control module comprises,
the control module extracts an average amplitude value and an average wavelength in the audio signal time domain waveform image.
In particular, the control module calculates an audio fluctuation characterization value based on the base audio feature, wherein,
the control module calculates an audio fluctuation characterizing value G according to formula (2),
in the formula (2), H represents an average wavelength, H0 represents a preset standard wavelength parameter, Δh represents an average amplitude, hi represents an amplitude of an i-th peak in the time domain waveform image of the audio signal, and n represents the number of peaks.
Specifically, in this embodiment, the preset standard wavelength parameter H0 is obtained by pre-measurement, where audio data received by the radio unit during normal operation of the processing module in a predetermined period is measured, an audio signal time domain waveform image is constructed, an average wavelength in the audio signal time domain waveform image is obtained, and is recorded as He, and h0=he is set.
In particular, the process of the control module adjusting the processing parameters of the processing module based on the audio fluctuation characterizing value includes,
the control module controls the audio fluctuation representation value and the processing parameter of the processing module to form an inverse relation;
the control module compares the audio fluctuation representation value G with a preset first audio comparison threshold G1 and a second audio comparison threshold G2, G1 is smaller than G2,
if G is more than or equal to G2, the control module adjusts the moving speed of the cutter unit to a first moving speed value Ve1, and adjusts the rotating speed of the clamping unit to a first rotating speed value Vr1;
if G1 is less than or equal to G2, the control module adjusts the moving speed of the cutter unit to a second moving speed value Ve2, and adjusts the rotating speed of the clamping unit to a second rotating speed value Vr2;
if G < G1, the control module adjusts the moving speed of the cutter unit to a third moving speed value Ve3, and adjusts the rotating speed of the clamping unit to a third rotating speed value Vr3;
wherein, ve1 is less than Ve2 and Ve3, vr1 is less than Vr2 and Vr3.
Specifically, in this embodiment, the first audio comparison threshold G1 and the second audio comparison threshold G2 are obtained by measuring in advance, audio data received by the radio unit during normal operation of the processing module in a predetermined period is measured, a time domain waveform image of the audio signal is constructed, an audio fluctuation characterization value is calculated, and is denoted as Ge, and g1=1.15ge and g2=1.3ge are set in this embodiment.
In particular, the process of the control module adjusting the process parameters of the process module based on the vibration influence coefficient includes,
the control module adjusts the processing parameters of the processing module, wherein the adjustment amount of the processing parameters of the processing module is determined by the control module based on the vibration influence coefficient;
the control module compares the vibration influence coefficient C with a preset second standard coefficient comparison threshold C2 and a third standard coefficient comparison threshold C3, C1 is more than C2 and less than C3,
if C is more than or equal to C3, the control module adjusts the moving speed of the cutter unit to a fourth moving speed value Ve4, and adjusts the rotating speed of the clamping unit to a fourth rotating speed value Vr4;
if C2 is less than or equal to C3, the control module adjusts the moving speed of the cutter unit to a fifth moving speed value Ve5, and adjusts the rotating speed of the clamping unit to a fifth rotating speed value Vr5;
if C < C2, the control module adjusts the moving speed of the cutter unit to a sixth moving speed value Ve6, and adjusts the rotating speed of the clamping unit to a sixth rotating speed value Vr6;
wherein, ve4 is less than Ve5 and less than Ve6, vr4 is less than Vr5 and less than Vr6.
Specifically, in this example, C2 and C3 are calculated based on C1, and 1.1C1 < C2 < 1.3C1 < C3 < 1.5c1 is set.
Specifically, in this embodiment, ve1 to Ve6 are selected from the interval [30, 120] in meters per minute, and the first difference ratio F1 is set to be within 0.3, and f1= (vei+1-Vei)/Vei is set, where Vei represents the i-th movement speed value, vei+1 represents the i+1-th movement speed value, and i=1, 2,3,4,5.
Specifically, in the present embodiment, vr1 to Vr6 are selected from the interval [100, 600] in the unit of revolution/minute, and when setting, the second difference ratio F2 needs to be controlled within 0.3, f2= (Vr i+1-Vr i)/Vr i is set, where Vr i represents the i-th revolution speed value, vr i+1 represents the i+1-th revolution speed value, and i=1, 2,3,4,5.
Specifically, the system further comprises a display module, wherein the display module is connected with the detection module and used for displaying the data detected by the detection module.
Specifically, the robot arm is connected with the control module and used for grabbing the workpiece and placing the workpiece in a target assembly area.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (10)
1. The utility model provides a floating assembly quality of conical surface high accuracy processing which characterized in that includes:
the processing module comprises a clamping unit used for clamping and driving a workpiece to rotate and a cutter unit used for cutting the workpiece;
the detection module comprises a vibration detection unit and a sound reception unit, wherein the vibration detection unit is arranged on the cutter unit and used for detecting the vibration value of the cutter unit, and the sound reception unit is arranged on one side of the cutter unit and used for acquiring the audio generated by the contact part of the cutter unit and a workpiece;
the data processing module is respectively connected with the detection module and used for acquiring the vibration value of the cutter unit and the current cutting depth of the cutter unit so as to calculate the vibration influence coefficient and divide the current vibration influence state of the processing module;
the control module is respectively connected with the detection module, the processing module and the data processing module and is used for adjusting the processing parameters of the processing module according to the vibration influence state of the processing module, and comprises,
acquiring audio data received by a radio unit, constructing an audio signal time domain waveform image every a preset time length, extracting basic audio features, calculating an audio fluctuation characterization value, and adjusting processing parameters of the processing module based on the audio fluctuation characterization value;
or, adjusting the processing parameters of the processing module according to the vibration influence coefficient;
wherein the processing parameters include a moving speed of the tool unit and a rotational speed of the clamping unit.
2. The floating assembly device for high precision machining of a tapered surface according to claim 1, wherein the data processing module calculates a vibration influence coefficient based on the tool unit vibration value and a current cutting depth of the tool unit, wherein,
the data processing module calculates a vibration influence coefficient C according to formula (1),
in the formula (1), V represents an average vibration value of the cutter unit within a preset time period, V0 represents a preset standard vibration parameter, D represents a current cutting depth of the cutter unit, and D0 represents a preset standard cutting parameter.
3. The floating assembly device for high precision machining of a conical surface according to claim 1, wherein the process of dividing the current vibration influence state of the machining module by the data processing module based on the vibration influence coefficient comprises,
the data processing module compares the vibration influence coefficient with a preset first standard coefficient comparison threshold value,
if the vibration influence coefficient is greater than or equal to the first standard coefficient comparison threshold, the data processing module divides the current vibration influence state of the processing module into strong vibration influence states;
and if the vibration influence coefficient is smaller than the first standard coefficient comparison threshold, the data processing module divides the current vibration influence state of the processing module into weak vibration influence states.
4. The floating assembly device for high precision machining of conical surface according to claim 1, wherein the control module selects a mode of adjusting the machining module according to a vibration influence state of the machining module, and the selecting process comprises,
if the data processing module divides the vibration influence state of the processing module into a weak vibration influence state, the control module acquires audio data received by the radio unit, constructs an audio signal time domain waveform image every a preset time length, extracts basic audio features, calculates an audio fluctuation representation value, and adjusts processing parameters of the processing module based on the audio fluctuation representation value;
and if the data processing module divides the vibration influence state of the processing module into a strong vibration influence state, the control module adjusts the processing parameters of the processing module according to the vibration influence coefficient.
5. The floating assembly device for high precision machining of a conical surface according to claim 1, wherein the process of extracting basic audio features by the control module comprises,
the control module extracts an average amplitude value and an average wavelength in the audio signal time domain waveform image.
6. The floating assembly device for high precision machining of a conical surface according to claim 1, wherein the control module calculates an audio fluctuation characterization value based on basic audio features, wherein,
the control module calculates an audio fluctuation characterizing value G according to formula (2),
in the formula (2), H represents an average wavelength, H0 represents a preset standard wavelength parameter, Δh represents an average amplitude, hi represents an amplitude of an i-th peak in the time domain waveform image of the audio signal, and n represents the number of peaks.
7. The floating assembly device for high precision machining of a conical surface according to claim 1, wherein the process of adjusting the machining parameters of the machining module based on the audio fluctuation characterizing value by the control module comprises,
the control module controls the audio fluctuation representation value and the processing parameter of the processing module to form an inverse relation.
8. The floating assembly device for high precision machining of a conical surface according to claim 1, wherein the process of adjusting the machining parameters of the machining module based on the vibration influence coefficient by the control module comprises,
the control module adjusts the processing parameters of the processing module, and the adjustment amount of the processing parameters of the processing module is determined by the control module based on the vibration influence coefficient.
9. The floating assembly device for high-precision machining of the conical surface of claim 1, further comprising a display module connected with the detection module for displaying the data detected by the detection module.
10. The floating assembly device for high precision machining of a conical surface according to claim 1, further comprising a mechanical arm connected to the control module for grasping the workpiece and placing the workpiece in a target assembly area.
Priority Applications (1)
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