CN106596100A - Four-step machine tool spindle elastic modulus nondestructive detection method and device - Google Patents

Four-step machine tool spindle elastic modulus nondestructive detection method and device Download PDF

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CN106596100A
CN106596100A CN201710013868.9A CN201710013868A CN106596100A CN 106596100 A CN106596100 A CN 106596100A CN 201710013868 A CN201710013868 A CN 201710013868A CN 106596100 A CN106596100 A CN 106596100A
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machine tool
step machine
chief axis
tool chief
elastic modulus
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CN106596100B (en
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向家伟
宋文磊
钟永腾
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Wenzhou University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00Testing of machine parts
    • G01M13/02Gearings; Transmission mechanisms
    • G01M13/028Acoustic or vibration analysis

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Abstract

The invention relates to a four-step machine tool spindle elastic modulus nondestructive detection method and device. Through a finite element analysis method and a response surface analysis method, an empirical formula of a four-step machine tool spindle impulse excitation detection elastic modulus is obtained, the relation among four-step machine tool spindle elastic modulus, geometric size and bending frequency is established, thus through the excitation at one end of a four-step machine tool spindle by an exciting hammer, an acceleration signal is picked by using an acceleration sensor at the other end, a one-order bending resonance frequency is obtained through fast Fourier transform, and with the geometric size of a four-step machine tool spindle to be detected as the input of the empirical formula, finally the elastic modulus is calculated. According to the method and the device, a disadvantage that the preparation of a rectangular cross section specimen is needed by a classical impulse excitation detection elastic modulus standard method can be overcome, the method is suitable for four-step machine tool spindle elastic modulus nondestructive detection in actual working condition, and a four-step machine tool spindle elastic modulus value can be rapidly given with only one formula only through a simple exciting hammer excitation test.

Description

A kind of four-step machine tool chief axis elastic modelling quantity lossless detection method and device
Technical field
The invention belongs to frame for movement technical field of nondestructive testing, is related to a kind of four-step machine tool chief axis elastic modelling quantity lossless Detection method and device.
Background technology
At present, developing rapidly with national economy, demand expanding day of the society to equipment.As equipment key core Part design is manufactured, and numerical simulation becomes a kind of Design and manufacturing process analysis means ripe day by day.However, current generally existing Imitative and ungenuine bottleneck problem, in the urgent need to real structure part mechanics parameter, and elastic modelling quantity is crucial mechanics parameter.If energy By lossless detection method, the elastic modelling quantity of ad hoc structure is obtained, reliable mechanics parameter will be provided for its numerical simulation, had Very important meaning.
Pulse excitation method is that one kind is known as lossless detection method, by sample (square-section standard specimen) natural frequency, Size and quality are obtaining a kind of method of young modulus of material, modulus of shearing, Poisson's ratio.Pulse excitation method (Impulse Excitation Technique) refer to by the given sample one continuous pulse excitation of a certain ad-hoc location of suitable external force Signal, when a certain frequency in accumulation signal is consistent with the natural frequency of sample, produces resonance, and now amplitude is maximum, prolongs When it is most long, the vibration signal is received by measurement sensor, then by data analyzing and processing obtain sample natural frequency, The natural frequency obtains different types of frequency according to the mode of vibration difference of sample, such as corner frequency, twisting frequencies, so Afterwards its Young's modulus E, shear modulus G, Poisson when damping ratio etc. is calculated by the empirical equation of standard specimen.Pulse at present Excitation method is widely used in research and field of quality control, it is adaptable to various solid materials, such as metal, alloy, ceramics, glass Glass, refractory material, graphite etc., are one kind of the advanced various elasticity modulus of materials of noncontact measure generally acknowledged in the world at present Preferable detection method.
However, the not proper lossless detection method of pulse excitation method, is suitable only for square-section standard specimen, mark Quasi- sample itself is required with specific physical dimension.For working condition is severe, ambient vibration noise is big and operating Four-step machine tool chief axis, geometry not standard specimen, it is impossible to be used for quickly detecting with existing pulse excitation method, because This, there is no at present report.
The content of the invention
In order to overcome the technical deficiency of the above, the present invention to provide a kind of four-step machine tool chief axis elastic modelling quantity Non-Destructive Testing side Method and device.
The present invention provides a kind of four-step machine tool chief axis elastic modelling quantity lossless detection method, and its step is as follows:
1) four-step machine tool chief axis pulse excitation is obtained by finite element analyses and Responds Surface Methodology and detects elastic modelling quantity Empirical equation, set up the relation of four-step machine tool chief axis elastic modelling quantity, physical dimension and the first rank natural bending frequency;
2) four-step machine tool chief axis, wherein L=have been suspended in midair with elastic metal wire being at 0.224L apart from both ends of the surface l1+l2+l3+l4For main shaft total length, l1, l2, l3, l4Respectively four-step shaft length;
3) by power hammer in the excitation of four-step machine tool chief axis right-hand member, and in left end acceleration transducer pickup acceleration letter Number, and the first rank natural bending frequency f is obtained by fast Fourier transform;
4) by physical dimension R of the first rank natural bending frequency f and four-step machine tool chief axis to be detected1, R2, R3, R4, lead to Cross step 1) in relation, obtain elastic modulus E *.
Step 1) in step it is as follows:Four-step machine tool chief axis to simulating carry out multiple model frequency calculating, obtain the First-order flexure natural frequency f, and BBD response surface analysises are carried out to obtaining the first rank natural bending frequency f, obtain elastic modelling quantity pre- Measured value E* and physical dimension R1、R2、R3、R4With the relation of the first rank natural bending frequency f,
E*=2.15196 × 1011-2.15307×1013R1-2.02443×1013R2-1.70041×1012R3+6.24694 ×1012R4+3835003975f-9.04594×1014R1R2-67759500560R1f-4.07318×1014R2R4- 82762415004R2f-9.40012×1013R3R4-15201689270R3f+32685835169R4f+1.1947×1015R1 2+ 1.11873×1015R2 2+1.15113×1014R3 2+6.08567×1013R4 2+2536349.853f2,
Wherein R1, R2, R3, R4Respectively four-step axle radius.
Step 3) in by pickup acceleration signal through signal conditioner amplifications, digital sample, Filtering Processing, and general Computer is input to digital signal, fast Fourier change is carried out by computer.
A kind of device based on four-step machine tool chief axis elastic modelling quantity lossless detection method, it includes:
Some elastic metal wires, for fixing four-step machine tool chief axis to be measured, and institute fixed position is respectively from two ends The position of face 0.224L;
Force thing, for providing excitation in any one end of four-step machine tool chief axis to be measured, makes four-step machine tool chief axis to be measured Exciting;
Acceleration transducer, along the axially arranged of four-step machine tool chief axis to be measured, for gathering four-step machine tool chief axis Pulse excitation data;
Test system, for obtaining pulse excitation data, and carries out the acquisition of elastic modelling quantity.
The force thing is power hammer.
The test system includes A/D converter amplifier circuits, controller and the display being sequentially connected, and wherein A/D turns Change amplifying circuit to be connected with acceleration transducer.
The test system is additionally provided with force transducer, and the force transducer is connected with A/D converter amplifier circuits.
The test system is additionally provided with storing mechanism.
Beneficial effects of the present invention:An energy gram classical pulsed exciting detection elastic modelling quantity standard method needs to prepare square-section The shortcoming of exemplar, is suitable for four-step machine tool chief axis elastic modelling quantity Non-Destructive Testing under practical working situation;Only need to by simple Power hammer exciting vibration, and only according to a formula, quickly provide four-step machine tool chief axis elastic mould value.
Description of the drawings
Fig. 1 is four-step machine tool chief axis simplified model figure.
Fig. 2 is that four-step machine tool chief axis suspend Support Position in midair.
Fig. 3 is the elastic modulus E predictive value and actual value degree of agreement figure that formula (1) is calculated.
Fig. 4 is four-step machine tool chief axis elastic modelling quantity nondestructive detecting instrument block diagram.
Fig. 5 is the test time-domain signal and its frequency spectrum of operating mode 1, and wherein a is test time-domain signal, and b is frequency spectrum.
Fig. 6 is the test time-domain signal and its frequency spectrum of operating mode 2, and wherein a is test time-domain signal, and b is frequency spectrum.
Fig. 7 is the water-glass of five factor three of BBD response phase methods.
Fig. 8 is the table of five factor three, 46 test combinations of level of BBD response phase methods.
Fig. 9 is the table of the four-step machine tool chief axis of two kinds of sizes.
Figure 10 is the table of experiment detection elastic modelling quantity result and error
Specific embodiment
Below in conjunction with the accompanying drawings embodiments of the present invention is further illustrated:
As illustrated, the present invention includes obtaining four-step machine tool chief axis pulse by finite element analyses and Responds Surface Methodology Exciting detects the empirical equation of elastic modelling quantity, sets up the pass of four-step machine tool chief axis elastic modelling quantity, physical dimension and corner frequency System, and then by power hammer in the excitation of four-step machine tool chief axis one end, the other end picks up acceleration signal with acceleration transducer, leads to Cross fast Fourier transform and obtain first-order flexure resonant frequency, with the physical dimension of four-step machine tool chief axis to be detected empirically The input of formula, finally calculates elastic modelling quantity.Based on detection method, using DSP development boards, four-step lathe is built Main shaft elastic modelling quantity the cannot-harm-detection device.Comprise the following steps:
1st, four-step machine tool chief axis pulse excitation detects the empirical equation of elastic modelling quantity.
Fig. 1 show four-step machine tool chief axis simplified model figure, is typical multidiameter structure, wherein l1, l2, l3, l4Point Wei not four-step shaft length;R1, R2, R3, R4Respectively four-step axle radius.Fig. 2 show the suspention of four-step machine tool chief axis and supports Position, apart from both ends of the surface 0.224L (L=l are1+l2+l3+l4For main shaft total length), by finite element analyses and response surface point Analysis method obtains the empirical equation that four-step machine tool chief axis pulse excitation detects elastic modelling quantity, sets up four-step machine tool chief axis springform The relation of amount, physical dimension and corner frequency.It is embodied as flow process:
First, using one of method in Responds Surface Methodology --- the response surface based on Box-Behnkendesign (BBD) Method carries out experimental design.Fig. 7 show the water-glass of five factor three of BBD response phase methods.
The level of five factor three of BBD response phase methods need to do 46 experiments, as shown in Figure 8.It is each in BBD response phase methods Secondary experiment, with finite element analysis software ANSYS, using solid element " Solid 186 ", four-step machine tool chief axis material parameter For Poisson's ratio μ=0.3, density of material ρ=7860kg/m3, constrained is at 0.224L (as shown in Figure 2) place, it is assumed that l1= 0.4m, l2=0.3m, l3=0.2m, l4=0.1m, carries out model frequency calculating, obtains the first rank natural bending frequency f, its value As shown in Figure 8.
Data shown in Fig. 8 are carried out with BBD response phase method analyses, the empirical equation of elastic modulus E is obtained:
E*=2.15196 × 1011-2.15307×1013R1-2.02443×1013R2-1.70041×1012R3+6.24694 ×1012R4+3835003975f-9.04594×1014R1R2-67759500560R1f-4.07318×1014R2R4- 82762415004R2f-9.40012×1013R3R4-15201689270R3f+326 85835169R4f+1.1947×1015R1 2+ 1.11873×1015R2 2+1.15113×1014R3 2+6.08567×1013R4 2+2536349.853f2 (1)
Formula (1) is the empirical equation that four-step machine tool chief axis pulse excitation detects elastic modelling quantity, and the formula is established Four-step machine tool chief axis Elastic modulus prediction value E*, physical dimension R1, R2, R3, R4With the relation of first-order flexure frequency f.The relation The inspection of formula accuracy is used in Fig. 8 under 46 experiment conditions, with real bullet in the calculated elastic modelling quantity of formula (1) and Fig. 8 Property modulus 170GPa, 190GPa, 210GPa degree of agreement description, as a result as shown in Figure 3, it is seen then that degree of agreement is very good.
2nd, four-step machine tool chief axis elastic modelling quantity lossless detection method.
Four-step machine tool chief axis elastic modelling quantity lossless detection method operating process:
First as shown in Figure 2, it is at 0.224L apart from both ends of the surface and has suspended four-step lathe master in midair with elastic metal wire Axle;
Then as shown in figure 3, being encouraged in four-step machine tool chief axis right-hand member by power hammer, and in left end acceleration transducer Pickup acceleration signal, is processed through signal conditioner amplification, digital sample, filtering etc., is obtained digital signal and is input to calculating Machine, by fast Fourier transform first-order flexure resonant frequency f is obtained;
Finally by physical dimension R of the four-step machine tool chief axis to be detected shown in first-order flexure resonant frequency f and Fig. 31, R2, R3, R4, empirical equation (1) is substituted into, calculate elastic modulus E *.
3rd, the detection means.
Using DSP development boards, four-step machine tool chief axis elastic modelling quantity the cannot-harm-detection device is built, as shown in Figure 4.It is concrete real Apply flow process:
The sensor is acceleration transducer, and axially arranged along power transmission shaft, i.e., along setting close proximity to right-hand member top Put, for gathering the pulse excitation initial data of four-step machine tool chief axis.
The test system is additionally provided with force transducer, and the force transducer is connected with A/D converter amplifier circuits.The power sensing Device is extended to solve frequency response function, and then measures material damping.
The controller is also connected with storage device, can will adhere to that data are stored by storage device, it is also possible to It is compared with the numerical value of setting, while also can call checking conventional detection data.
LCDs can also be set thereon, for direct observed data.
Case study on implementation 1:To verify the effectiveness of the inventive method, the implementation case provides the four-step lathe of two kinds of sizes Main shaft, as shown in Figure 9.The test time-domain signal and its frequency spectrum of Fig. 5 and Fig. 6 difference operating modes 1 and operating mode 2.Figure 10 gives experiment Detection elastic modelling quantity result and relative error ε=(E*-E)/E × 100%.As seen from Figure 10, for operating mode 1, relative error is only For 0.87%, and for operating mode 2, error also only 1.82%, therefore, it is a kind of higher lossless detection method of accuracy.Mark Quasi- pulse excitation method, due to its formula only to square-section standard specimen effectively, and standard specimen itself is with specific square The requirement of tee section physical dimension, therefore, not proper lossless detection method, it is impossible to for geometry and non-standard The four-step machine tool chief axis of sample.And the inventive method need not then make square-section test specimen, with for four-step lathe The quick and accuracy of main shaft.
Embodiment is not construed as limitation of the present invention, any spiritual improvements introduced based on the present invention, all Ying Ben Within the protection domain of invention.

Claims (8)

1. a kind of four-step machine tool chief axis elastic modelling quantity lossless detection method, it is characterised in that:Its step is as follows:
1) Jing that four-step machine tool chief axis pulse excitation detects elastic modelling quantity is obtained by finite element analyses and Responds Surface Methodology Formula is tested, the relation of four-step machine tool chief axis elastic modelling quantity, physical dimension and the first rank natural bending frequency is set up;
2) four-step machine tool chief axis, wherein L=l have been suspended in midair with elastic metal wire being at 0.224L apart from both ends of the surface1+l2+ l3+l4For main shaft total length, l1, l2, l3, l4Respectively four-step shaft length;
3) by power hammer in the excitation of four-step machine tool chief axis right-hand member, and acceleration signal is picked up with acceleration transducer in left end, And the first rank natural bending frequency f is obtained by fast Fourier transform;
4) by physical dimension R of the first rank natural bending frequency f and four-step machine tool chief axis to be detected1, R2, R3, R4, by step 1) relation in, obtains elastic modulus E *.
2. a kind of four-step machine tool chief axis elastic modelling quantity lossless detection method according to claim 1, it is characterised in that step It is rapid 1) in step it is as follows:Four-step machine tool chief axis to simulating carry out multiple model frequency calculating, obtain first-order flexure and consolidate Have frequency f, and BBD response surface analysises carried out to obtaining the first rank natural bending frequency f, obtain Elastic modulus prediction value E* with it is several What size R1、R2、R3、R4With the relation of the first rank natural bending frequency f, E*=2.15196 × 1011-2.15307×1013R1- 2.02443×1013R2-1.70041×1012R3+6.24694×1012R4+3835003975f-9.04594×1014R1R2- 67759500560R1f-4.07318×1014R2R4-82762415004R2f-9.40012×1013R3R4-15201689270R3f+ 32685835169R4f+1.1947×1015R1 2+1.11873×1015R2 2+1.15113×1014R3 2+6.08567×1013R4 2+ 2536349.853f2,
Wherein R1, R2, R3, R4Respectively four-step machine tool chief axis radius.
3. a kind of four-step machine tool chief axis elastic modelling quantity lossless detection method according to claim 1, it is characterised in that step It is rapid 3) in by the acceleration signal of pickup through signal conditioner amplification, digital sample, Filtering Processing, and digital signal will be obtained Computer is input to, fast Fourier change is carried out by computer.
4. a kind of dress of the four-step machine tool chief axis elastic modelling quantity lossless detection method based on described in the claims 1,2 or 3 Put, it is characterised in that:It includes:
Some elastic metal wires, for fixing four-step machine tool chief axis to be measured, and institute fixed position is respectively from both ends of the surface The position of 0.224L;
Force thing, for providing excitation in any one end of four-step machine tool chief axis to be measured, makes four-step machine tool chief axis exciting to be measured;
Acceleration transducer, along the axially arranged of four-step machine tool chief axis to be measured, for gathering the pulse of four-step machine tool chief axis Exciting data;
Test system, for obtaining pulse excitation data, and carries out the acquisition of elastic modelling quantity.
5. device according to claim 4, it is characterised in that:The force thing is power hammer.
6. device according to claim 4, it is characterised in that:The test system includes that the A/D being sequentially connected conversions are put Big circuit, controller and display, wherein A/D converter amplifier circuits are connected with acceleration transducer.
7. device according to claim 6, it is characterised in that:The test system is additionally provided with force transducer, and the power is passed Sensor is connected with A/D converter amplifier circuits.
8. device according to claim 6, it is characterised in that:The test system is additionally provided with storing mechanism.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108387643A (en) * 2018-03-09 2018-08-10 西南石油大学 A kind of self-positioning dynamic modulus of elasticity test device
CN108776430A (en) * 2018-05-08 2018-11-09 苏州科技大学 A kind of ball-screw feed drive system position loop gain optimization obtaining value method
CN110837248A (en) * 2018-08-17 2020-02-25 沈机(上海)智能系统研发设计有限公司 Machine tool health degree evaluation method, system, comprehensive system and numerical control machine tool
CN110837247A (en) * 2018-08-17 2020-02-25 智能云科信息科技有限公司 Machine tool performance evaluation method, system, comprehensive system and cloud platform based on machine tool data
CN110987595A (en) * 2019-12-19 2020-04-10 北京大学 Method and device for measuring elastic modulus and internal loss of material in high and low temperature environment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1208363A1 (en) * 1999-03-01 2002-05-29 Hysitron Incorporated (in situ) non-destructive audiosonic identification system for visco-elastic materials
CN1521494A (en) * 2003-01-27 2004-08-18 上海日立电器有限公司 Testing method for elastic modulus of air-conditioned compressor electric machine rotor
CN203241319U (en) * 2013-02-21 2013-10-16 王智恒 Frequency-method testing device for elastic modulus of rectangular dimension stock
CN204855278U (en) * 2015-05-26 2015-12-09 山东交通学院 Metal material young modulus measuring device based on mode natural frequency
CN105675722A (en) * 2014-11-20 2016-06-15 陕西重型汽车有限公司 Material damping and elasticity modulus identification method and apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1208363A1 (en) * 1999-03-01 2002-05-29 Hysitron Incorporated (in situ) non-destructive audiosonic identification system for visco-elastic materials
CN1521494A (en) * 2003-01-27 2004-08-18 上海日立电器有限公司 Testing method for elastic modulus of air-conditioned compressor electric machine rotor
CN203241319U (en) * 2013-02-21 2013-10-16 王智恒 Frequency-method testing device for elastic modulus of rectangular dimension stock
CN105675722A (en) * 2014-11-20 2016-06-15 陕西重型汽车有限公司 Material damping and elasticity modulus identification method and apparatus
CN204855278U (en) * 2015-05-26 2015-12-09 山东交通学院 Metal material young modulus measuring device based on mode natural frequency

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
高攀: "裂纹管动力学特性分析与识别技术研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108387643A (en) * 2018-03-09 2018-08-10 西南石油大学 A kind of self-positioning dynamic modulus of elasticity test device
CN108387643B (en) * 2018-03-09 2020-06-23 西南石油大学 Self-positioning dynamic elastic modulus testing device
CN108776430A (en) * 2018-05-08 2018-11-09 苏州科技大学 A kind of ball-screw feed drive system position loop gain optimization obtaining value method
CN108776430B (en) * 2018-05-08 2021-02-02 苏州科技大学 Position loop gain optimization value taking method for ball screw feeding driving system
CN110837248A (en) * 2018-08-17 2020-02-25 沈机(上海)智能系统研发设计有限公司 Machine tool health degree evaluation method, system, comprehensive system and numerical control machine tool
CN110837247A (en) * 2018-08-17 2020-02-25 智能云科信息科技有限公司 Machine tool performance evaluation method, system, comprehensive system and cloud platform based on machine tool data
CN110837247B (en) * 2018-08-17 2023-01-20 智能云科信息科技有限公司 Machine tool performance evaluation method, system, comprehensive system and cloud platform based on machine tool data
CN110987595A (en) * 2019-12-19 2020-04-10 北京大学 Method and device for measuring elastic modulus and internal loss of material in high and low temperature environment

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Denomination of invention: A nondestructive testing method and device for the elastic modulus of the spindle of a four step machine tool

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