CN109084887A - A noise simulation method for pruning machine blade mechanism - Google Patents
A noise simulation method for pruning machine blade mechanism Download PDFInfo
- Publication number
- CN109084887A CN109084887A CN201810554291.7A CN201810554291A CN109084887A CN 109084887 A CN109084887 A CN 109084887A CN 201810554291 A CN201810554291 A CN 201810554291A CN 109084887 A CN109084887 A CN 109084887A
- Authority
- CN
- China
- Prior art keywords
- noise
- blade mechanisms
- pruner
- blade
- simulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/06—Power analysis or power optimisation
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
本发明公开了一种修枝机刀片机构的噪声仿真方法。本方法包括以下步骤：步骤1，修枝机刀片机构振动和噪声的测试；步骤2，建立刀片的动力学模型；步骤3，通过修枝机传动机构多体动力学仿真分析来得到修枝机噪声的来源；步骤4，刀片机构动力学模型的近似和以载荷识别得到激励力；步骤5，基于激励力，进行刀片机构的声学仿真；步骤6，为刀片机构摩擦噪声的控制，提出结构改进的方法。该方法可以预测修枝机刀片机构的摩擦噪声现象，为解决修枝机刀片机构噪声控制提供新方法。
The invention discloses a noise simulation method of a pruning machine blade mechanism. The method comprises the following steps: Step 1, testing the vibration and noise of the pruning machine blade mechanism; Step 2, establishing the dynamic model of the blade; Step 3, obtaining the pruning machine through the multi-body dynamics simulation analysis of the pruning machine transmission mechanism. The source of the noise; step 4, the approximation of the dynamic model of the blade mechanism and the identification of the load to obtain the excitation force; step 5, based on the excitation force, the acoustic simulation of the blade mechanism is carried out; step 6, for the control of the friction noise of the blade mechanism, a structural improvement is proposed Methods. This method can predict the friction noise phenomenon of the pruning machine blade mechanism, and provides a new method for solving the noise control of the pruning machine blade mechanism.
Description
Technical field
The present invention relates to horticultural machinery field of noise more particularly to a kind of pruner blade mechanisms noise simulation methods.
Background technique
Currently, be constantly progressive as urbanization is promoted with economic sustainable growth, simultaneous Machine Manufacturing Technology,
Mechanization is realized in the Green Space Construction of various countries main cities and maintenance work substantially；Gardens equipment industry enters fast-developing
Period, the important component that gardens electric trimmer is equipped as gardens also have lasting growth.Electric trimmer is working
When have serious noise pollution, these noise pollutions can drastically influence the physical and mental health of pruning worker and resident.
By inquiry document and comprehensive analysis discovery, ground for a long time although generating noise to vibration friction both at home and abroad and having
Study carefully, but the theoretical mechanism problem for vibrating frictional noise is not resolved yet, there are no effective technological means to make an uproar for such
Sound is predicted and is controlled.
The method of present frictional noise research is mainly Noise Mechanism research, test and simulation analysis.Emulation mode is main
It is transient analysis and complex eigenvalue emulation, transient analysis computational efficiency is low, and calculated result is closely related with primary condition, multiple feature
The calculated result of value emulation under heavy loads is preferable, accurately predicts that the noise of pruner blade mechanisms is all little with both methods
It is suitble to.
Summary of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of pruner blade mechanisms noise Simulation sides
Method, with solve current pruning machine knife blade noise prediction and control method selection it is indefinite.
In order to achieve the above objectives, the technical scheme adopted by the invention is that:
A kind of pruner blade mechanisms noise simulation method, comprising the following steps:
1) test of pruner blade mechanisms vibration and noise is carried out:
Blade mechanisms surface vibration acceleration signal and sound pressure signal, vibration-testing point are located at knife when the operation of acquisition pruner respectively
It on piece surface and is uniformly distributed, acoustic pressure test point is located at the parallel side 1m of blade center.Pruner as a whole, is transported
Noise has noise of motor radiation, transmission incentive structure noise and blade cutting movement self-excitation radiated noise when row, in blade mechanisms
Pruner motor and reduction gearbox are covered with noise elimination cotton when acoustic pressure is tested, mitigates its influence to test；Or by the way that each portion is isolated
Part re-test noise is as background noise corrected it to blade mechanisms sound pressure level.
2) kinetic model of blade mechanisms is constructed:
Test obtains the modal parameter of blade structure, by the modal parameter of contrast simulation and test, corrects kinetic model
Material properties, and verify the accuracy of model.The actual conditions for verifying the accuracy of kinetic model are: emulating and testing mould
In the correlation analysis of state, the diagonal line value of the MAC matrix of mode interested should be greater than 0.95.
3) Dynamics Simulation of transmission mechanism:
It is arranged between moving boundaries constraint condition, component on drive model and connects contact relation, driving and frictional force etc., carries out
Simulation Analysis on Multi-body Dynamics, the meshing frequency characteristic that fundamental frequency and harmonics, the Dynamics Simulation of pruner motor are obtained
It is compared and analyzed with the sound pressure frequency characteristic tested in step 1), obtains main noise source when pruner work.
4) approximation of blade mechanisms model and load identification:
By the kinetic model calculated prestressing force mode in step 2), it is approximately the collision friction nonlinear model of blade mechanisms
Linear model analysis, and linear model meets Maxwell reciprocity principle, then is carried with the vibration signal in step 1)
Lotus identification reverse obtains excitation force signal.
5) the acoustics emulation of blade mechanisms:
Acoustics simulation calculation is carried out under this exciter response, obtains the acoustic characteristic of blade mechanisms, and compares simulation result and step
Whether the frequency error of rapid 1) test result is less than 10%, if so, step 6) is carried out, if it is not, then returning 4).
6) structure optimization of blade mechanisms noise control:
Based on the reasonable key factor for influencing blade mechanisms acoustical power of configuration, being determined by experimental design method, which influences experiment, refers to
Target primary and secondary factor, the tendentiousness radiated by excellent combined structural design scheme come reducing noise.
In the step 1), the modification method carried out just slightly to blade mechanisms sound pressure level is: whether assembling cutter
Mechanism carries out sound pressure level test, if the difference of the two is 3dB, should subtract 3dB in the measurement；If the difference of the two is 4 ~ 5dB, subtract
Number is 2dB；If the difference of the two is 6 ~ 9dB, 1dB is subtracted；When the difference of the two is greater than 10dB, the noise of motor and transmission makees background
Noise can be ignored.If the difference of the two is less than 3dB should separate then motor and rotational noise are also the main noise of pruner
Carry out noise reduction process.
In the step 6), the key factor for influencing blade mechanisms acoustical power includes the structure size of blade mechanisms, material
Expect the factors such as characteristic, surface quality, trim designs and motion state.
Compared with prior art, the present invention have following obvious prominent substantive distinguishing features and significant technology into
Step: first is that effective solution the lacking of the noise prediction method of existing pruner blade mechanisms, precision of prediction is high, and process letter
Just；Two there is provided the design process of the structural optimization method of pruner blade mechanisms noise control, and optimization efficiency is high.
Detailed description of the invention
Fig. 1 is the flow chart of pruner blade mechanisms noise simulation method；
Fig. 2 pruner overall schematic；
The measuring point simple diagram of Fig. 3 vibration and noise testing；
The emulation of Fig. 4 blade and test acoustic pressure spectrogram.
Specific embodiment
A kind of pruner blade mechanisms noise simulation method of the present invention is made into one with preferred embodiment with reference to the accompanying drawing
Walk explanation.
Embodiment one: referring to Fig. 1, this pruner blade mechanisms noise simulation method, it is characterised in that: including following step
It is rapid:
1) test of pruner blade mechanisms vibration and noise is carried out；
2) kinetic model of blade mechanisms is constructed；
3) Dynamics Simulation of transmission mechanism；
4) load identifies；
5) the acoustics emulation of blade mechanisms；
6) structure optimization of blade mechanisms noise control.
Embodiment two: the present embodiment is essentially identical with embodiment, and special feature is as follows:
In the step 1), blade mechanisms surface vibration acceleration signal and sound pressure signal when acquiring pruner operation respectively,
Vibration-testing point is located in blade face and is uniformly distributed, and acoustic pressure test point is located at the parallel side 1m of blade center；It prunes
As a whole, noise has noise of motor radiation, transmission incentive structure noise and blade cutting movement self-excitation spoke to machine when operation
Noise is penetrated, pruner motor and reduction gearbox is covered with noise elimination cotton in the test of blade mechanisms acoustic pressure, mitigates its influence to test；
Or by the way that each component re-test noise is isolated, it is as background noise corrected blade mechanisms sound pressure level；To blade
The modification method that mechanism sound pressure level carries out just slightly is: whether fit on blade mechanisms carry out sound pressure level test, if the difference of the two
For 3dB, 3dB should be subtracted in the measurement；If the difference of the two is 4 ~ 5dB, subtracting number is 2dB；If the difference of the two is 6 ~ 9dB, subtract
Remove 1dB；When the difference of the two is greater than 10dB, the noise of motor and transmission is ignored as ambient noise；If the difference of the two is less than 3dB,
So motor and rotational noise main noise for being also pruner should separate and carry out noise reduction process.
In the step 2), test obtains the modal parameter of blade mechanisms, is joined by contrast simulation and the mode of test
Number, corrects the material properties of kinetic model, and verify the accuracy of model；Verify the specific item of the accuracy of kinetic model
Part is: emulating and is testing in the correlation analysis of mode, the diagonal line value of the MAC matrix of mode interested should be greater than
0.95。
In the step 3), be arranged on drive model moving boundaries constraint condition, connect between component contact relation,
Driving and frictional force carry out Simulation Analysis on Multi-body Dynamics, fundamental frequency and harmonics, the Dynamics Simulation of pruner motor are obtained
To meshing frequency characteristic and step 1) in test sound pressure frequency characteristic compare and analyze, obtain pruner work when it is main
Noise source.
In the step 4), by the kinetic model calculated prestressing force mode in step 2), the collision of blade mechanisms
Non-linear in tribology model is approximately linear model analysis, and linear model meets Maxwell reciprocity principle, then uses step
1) vibration signal in carries out load identification reverse and obtains excitation force signal.
In the step 5), acoustics simulation calculation is carried out under this exciter response, obtains the acoustic characteristic of blade mechanisms,
And the frequency error for comparing simulation result and step 1) test result should be less than 10%.
In the step 6), based on the reasonable key factor for influencing blade mechanisms acoustical power of configuration, set by experiment
Meter method determines the primary and secondary factor for influencing experimental index, the tendency radiated by excellent combined structural design scheme come reducing noise
Property.Wherein, the key factor for influencing blade mechanisms acoustical power includes the structure size of blade mechanisms, material property, surface matter
Amount, contact characteristic, trim designs and motion state.
Embodiment three: this pruner blade mechanisms noise simulation method, operating procedure are as follows:
Step 1, pruner overall schematic is shown in that Fig. 2: 1 is blade mechanisms, and 2 be gear reduction box, and 3 be rotation pipe, and 4 be driver
Structure, 5 be handle and motor.The test of pruner blade mechanisms vibration and noise is carried out, blade when acquiring pruner operation respectively
Mechanism surface vibration acceleration and sound pressure signal, test point are shown in Fig. 3, and wherein measuring point 1 is blade face vibration acceleration sensor
Layout points, measuring point 2 is the layout points of sound pressure sensor.The acoustic pressure dominant frequency measured is 2005Hz.
Step 2, the kinetic model of blade mechanisms is constructed:
The modal parameter of test blades structure corrects kinetic model by the modal parameter of contrast simulation and test, by imitative
The accuracy of true and test mode correlation analysis verifying model.It is emulating and is testing in the correlation analysis of mode, mode
The diagonal line value of MAC matrix be greater than 0.95, carry out step 3.
Step 3, the Dynamics Simulation of transmission mechanism:
It is arranged between moving boundaries constraint condition, component on drive model and connects contact relation and driving frictional force etc., carries out
Simulation Analysis on Multi-body Dynamics, the fundamental frequency of pruner motor are 300Hz, and the meshing frequency characteristic that Dynamics Simulation obtains is
750Hz and 2357Hz, the middle sound pressure frequency characteristic tested of step 1) is 2005Hz, gear, electric machine frequency and acoustic pressure test frequency
Correlation is not shown, i.e., main noise source is the collision impact noise of blade when pruner works.
Step 4, the approximation of blade mechanisms model and load identification:
By the kinetic model calculated prestressing force mode in step 2), it is approximately the collision friction nonlinear model of blade mechanisms
Linear model analysis, and linear mechanism meets Maxwell reciprocity principle, then is obtained with the vibration signal reverse in step 1)
To excitation force signal.
Step 5, the acoustics emulation of blade mechanisms:
Acoustics simulation calculation is carried out under this exciter response, is obtained the acoustic characteristic of blade mechanisms, is compared simulation result and step
1) frequency error of test result is 5.2%, is met the requirements, and step 6) is carried out.
Step 6, the structure optimization of blade mechanisms noise control:
Configuration influences the flexible modulus of key factor, gap blade, coefficient of friction and the thickness of blade mechanisms acoustical power, passes through reality
It tests design method and determines that influencing the major factor of experimental index is blade thickness, by the blade mechanisms of excellent composite structure parameter designing
Noisy acoustic power grade reduce 18%.
The above is a preferred embodiment of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, it is noted that for those skilled in the art, modify or wait to technical solution of the present invention
With replacement, without departure from the protection scope of technical solution of the present invention.
Claims (7)
1. a kind of pruner blade mechanisms noise simulation method, it is characterised in that: the following steps are included:
1) test of pruner blade mechanisms vibration and noise is carried out；
2) kinetic model of blade mechanisms is constructed；
3) Dynamics Simulation of transmission mechanism；
4) load identifies；
5) the acoustics emulation of blade mechanisms；
6) structure optimization of blade mechanisms noise control.
2. a kind of pruner blade mechanisms noise simulation method according to claim 1, it is characterised in that: the step
1) in, blade mechanisms surface vibration acceleration signal and sound pressure signal, vibration-testing point are located at when acquiring pruner operation respectively
It in blade face and is uniformly distributed, acoustic pressure test point is located at the parallel side 1m of blade center；Pruner as a whole,
Noise has noise of motor radiation, transmission incentive structure noise and blade cutting movement self-excitation radiated noise when operation, in rolling reamer machine
Pruner motor and reduction gearbox are covered with noise elimination cotton when structure acoustic pressure is tested, mitigates its influence to test；Or it is each by isolation
Component re-test noise is as background noise corrected it to blade mechanisms sound pressure level；Blade mechanisms sound pressure level is carried out
Just slightly modification method be: whether fit on blade mechanisms carry out sound pressure level test, if the difference of the two be 3dB, should measure
3dB is subtracted in value；If the difference of the two is 4 ~ 5dB, subtracting number is 2dB；If the difference of the two is 6 ~ 9dB, 1dB is subtracted；When the two it
When difference is greater than 10dB, the noise of motor and transmission is ignored as ambient noise；If the difference of the two is less than 3dB, then motor and transmission
Noise is also the main noise of pruner, should separate and carry out noise reduction process.
3. a kind of pruner blade mechanisms noise simulation method according to claim 1, it is characterised in that: the step
2) in, test obtains the modal parameter of blade mechanisms, by the modal parameter of contrast simulation and test, corrects kinetic model
Material properties, and verify the accuracy of model；The actual conditions for verifying the accuracy of kinetic model are: emulating and testing mould
In the correlation analysis of state, the diagonal line value of the MAC matrix of mode interested should be greater than 0.95.
4. a kind of pruner blade mechanisms noise simulation method according to claim 1, it is characterised in that: the step
3) in, it is arranged between moving boundaries constraint condition, component on drive model and connects contact relation, driving and frictional force, carries out
Simulation Analysis on Multi-body Dynamics, the meshing frequency characteristic that fundamental frequency and harmonics, the Dynamics Simulation of pruner motor are obtained
It is compared and analyzed with the sound pressure frequency characteristic tested in step 1), obtains main noise source when pruner work.
5. a kind of pruner blade mechanisms noise simulation method according to claim 1, it is characterised in that: the step
4) in, by the kinetic model calculated prestressing force mode in step 2), the collision friction nonlinear model blade mechanisms is approximate
For linear model analysis, and linear model meets Maxwell reciprocity principle, then is carried out with the vibration signal in step 1)
Load identification reverse obtains excitation force signal.
6. a kind of pruner blade mechanisms noise simulation method according to claim 1, it is characterised in that: the step
5) in, acoustics simulation calculation is carried out under this exciter response, obtains the acoustic characteristic of blade mechanisms, and compare simulation result and step
The frequency error of rapid 1) test result should be less than 10%.
7. a kind of pruner blade mechanisms noise simulation method according to claim 1, it is characterised in that: the step
6) in, based on the reasonable key factor for influencing blade mechanisms acoustical power of configuration, being determined by experimental design method influences experiment
The primary and secondary factor of index, the tendentiousness radiated by excellent combined structural design scheme come reducing noise, wherein influence blade mechanisms
The key factor of acoustical power includes structure size, material property, surface quality, contact characteristic, the trim designs of blade mechanisms
And motion state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810554291.7A CN109084887A (en) | 2018-06-01 | 2018-06-01 | A noise simulation method for pruning machine blade mechanism |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810554291.7A CN109084887A (en) | 2018-06-01 | 2018-06-01 | A noise simulation method for pruning machine blade mechanism |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109084887A true CN109084887A (en) | 2018-12-25 |
Family
ID=64839252
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810554291.7A Pending CN109084887A (en) | 2018-06-01 | 2018-06-01 | A noise simulation method for pruning machine blade mechanism |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109084887A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112414540A (en) * | 2020-11-06 | 2021-02-26 | 中国船舶科学研究中心 | Ship structure and equipment vibration noise on-line monitoring and intelligent control integrated platform |
| CN113468666A (en) * | 2021-07-08 | 2021-10-01 | 义乌吉利动力总成有限公司 | Engine crankshaft bearing bush noise identification method, device, equipment and storage medium |
| WO2024001660A1 (en) * | 2022-06-30 | 2024-01-04 | 南京泉峰科技有限公司 | Pruner |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2854594Y (en) * | 2005-12-31 | 2007-01-03 | 济南大学 | Cutter working condition monitoring device based on voice identification technology |
| CN103473415A (en) * | 2013-09-11 | 2013-12-25 | 北京金风科创风电设备有限公司 | Noise simulation method of wind generating set |
| CN103631989A (en) * | 2013-10-23 | 2014-03-12 | 江苏大学 | Centrifugal pump flow induction noise numerical prediction method |
| CN104362918A (en) * | 2014-11-19 | 2015-02-18 | 芜湖杰诺瑞汽车电器系统有限公司 | Automobile alternating current generator noise reduction optimum design method |
| CN104765937A (en) * | 2015-04-30 | 2015-07-08 | 哈尔滨工业大学 | Cutting simulation method based on machine tool dynamic characteristics |
| CN105103774A (en) * | 2015-09-14 | 2015-12-02 | 宁波大叶园林设备有限公司 | Method for aerodynamic noise analysis based on computer value-assisted simulation |
| CN105138796A (en) * | 2015-09-16 | 2015-12-09 | 重庆长安汽车股份有限公司 | Modal tire modeling method for whole-vehicle vibration noise simulation |
| EP2953041A1 (en) * | 2013-02-01 | 2015-12-09 | JFE Steel Corporation | Method and device for analysis of shape optimization |
| CN106503318A (en) * | 2016-10-12 | 2017-03-15 | 华中科技大学 | A kind of knife end frequency response function discrimination method under machine tool chief axis working condition |
| CN106777426A (en) * | 2015-11-19 | 2017-05-31 | 黑龙江恒能自控科技有限公司 | A kind of numerical simulation of Double Ring Reducer radiated noise and research method |
| CN106934136A (en) * | 2017-03-02 | 2017-07-07 | 西安电子科技大学 | The Simulation System of Vibration Test and method of a kind of slender type aircraft |
| CN107341276A (en) * | 2016-04-29 | 2017-11-10 | 宝沃汽车（中国）有限公司 | A kind of method and system assessed engine performance |
-
2018
- 2018-06-01 CN CN201810554291.7A patent/CN109084887A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2854594Y (en) * | 2005-12-31 | 2007-01-03 | 济南大学 | Cutter working condition monitoring device based on voice identification technology |
| EP2953041A1 (en) * | 2013-02-01 | 2015-12-09 | JFE Steel Corporation | Method and device for analysis of shape optimization |
| CN103473415A (en) * | 2013-09-11 | 2013-12-25 | 北京金风科创风电设备有限公司 | Noise simulation method of wind generating set |
| CN103631989A (en) * | 2013-10-23 | 2014-03-12 | 江苏大学 | Centrifugal pump flow induction noise numerical prediction method |
| CN104362918A (en) * | 2014-11-19 | 2015-02-18 | 芜湖杰诺瑞汽车电器系统有限公司 | Automobile alternating current generator noise reduction optimum design method |
| CN104765937A (en) * | 2015-04-30 | 2015-07-08 | 哈尔滨工业大学 | Cutting simulation method based on machine tool dynamic characteristics |
| CN105103774A (en) * | 2015-09-14 | 2015-12-02 | 宁波大叶园林设备有限公司 | Method for aerodynamic noise analysis based on computer value-assisted simulation |
| CN105138796A (en) * | 2015-09-16 | 2015-12-09 | 重庆长安汽车股份有限公司 | Modal tire modeling method for whole-vehicle vibration noise simulation |
| CN106777426A (en) * | 2015-11-19 | 2017-05-31 | 黑龙江恒能自控科技有限公司 | A kind of numerical simulation of Double Ring Reducer radiated noise and research method |
| CN107341276A (en) * | 2016-04-29 | 2017-11-10 | 宝沃汽车（中国）有限公司 | A kind of method and system assessed engine performance |
| CN106503318A (en) * | 2016-10-12 | 2017-03-15 | 华中科技大学 | A kind of knife end frequency response function discrimination method under machine tool chief axis working condition |
| CN106934136A (en) * | 2017-03-02 | 2017-07-07 | 西安电子科技大学 | The Simulation System of Vibration Test and method of a kind of slender type aircraft |
Non-Patent Citations (5)
| Title |
|---|
| 刘国政等: "驱动桥振动噪声的仿真与试验研究", 《汽车工程》 * |
| 左言言等: "滚轮传动系统噪声预测研究", 《振动、测试与诊断》 * |
| 李玮等: "小型割草机噪声测试与分析", 《林业机械与木工设备》 * |
| 邓小龙等: "一种茶树修剪机振动噪声特性测试与研究", 《农业装备与车辆工程》 * |
| 陈旭等: "发动机边盖辐射噪声仿真预测及实验", 《噪声与振动控制》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112414540A (en) * | 2020-11-06 | 2021-02-26 | 中国船舶科学研究中心 | Ship structure and equipment vibration noise on-line monitoring and intelligent control integrated platform |
| CN113468666A (en) * | 2021-07-08 | 2021-10-01 | 义乌吉利动力总成有限公司 | Engine crankshaft bearing bush noise identification method, device, equipment and storage medium |
| WO2024001660A1 (en) * | 2022-06-30 | 2024-01-04 | 南京泉峰科技有限公司 | Pruner |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109084887A (en) | A noise simulation method for pruning machine blade mechanism | |
| CN112461548B (en) | Method for determining durable bench test time of light truck fender bracket assembly | |
| Ramalho | Wear modelling in rail–wheel contact | |
| CN109387345B (en) | Dry friction damping structure-containing simulated detuning blisk and testing device and method | |
| CN108020366A (en) | A kind of disk cutter sword bottom contact force distribution character test system and its test method | |
| CN108846197A (en) | A kind of crane's major girder non-destructive tests and degree of injury quantitative analysis method | |
| CN106815419B (en) | An online evaluation method of crane operating state based on crack information prediction | |
| CN101788398A (en) | Transmission system load signal testing, analyzing and processing method of wheel-type loader | |
| CN106636563B (en) | A kind of polynary control method of reversed laser peening and device | |
| CN1987458A (en) | Method for detecting anti-cracking performance of airport cement concrete road surface | |
| CN205843918U (en) | Slab and girder load identification and the multi-function test stand of non-destructive tests | |
| CN111125959A (en) | Prediction method of fatigue life of composite blades for megawatt wind power generation | |
| CN103674680A (en) | Material initial damage evaluating method based on fracture quantitative retroestimation and data analysis | |
| Clar-Garcia et al. | A new methodology to assess sound power level of tyre/road noise under laboratory controlled conditions in drum test facilities | |
| CN110646282A (en) | Surrounding rock elastic reaction coefficient k determination method based on surrounding rock quality index BQ | |
| CN107657110A (en) | The fatigue damage evaluation method of large scale wind power machine blade | |
| CN101532919A (en) | Dynamic and static combination method used for engineering structure health diagnosis | |
| CN105806222A (en) | Detection device for circle runout, thickness, warping and tooth root cracks of circular saw blade base body | |
| CN113221261A (en) | Method for formulating vibration limit value of aviation transmission system | |
| Das et al. | Condition monitoring of robust damage of cantilever shaft using experimental and adaptive neuro-fuzzy inference system (ANFIS) | |
| CN113340749A (en) | Stress monitoring-based fatigue crack propagation life prediction method for high-lock bolt connecting piece | |
| Amaravadi et al. | Structural integrity monitoring of composite patch repairs using wavelet analysis and neural networks | |
| CN209247297U (en) | A Simulated Detuned Blisk with Dry Friction Damping Structure and Vibration Response Test Device | |
| Yang et al. | Structural adhesive damage identification of glass curtain wall | |
| CN116984939B (en) | Method for optimizing damping of machine tool structure |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181225 |