CN105215542B - Underwater Acoustic channels method in friction welding (FW) welding process - Google Patents

Underwater Acoustic channels method in friction welding (FW) welding process Download PDF

Info

Publication number
CN105215542B
CN105215542B CN201510660511.0A CN201510660511A CN105215542B CN 105215542 B CN105215542 B CN 105215542B CN 201510660511 A CN201510660511 A CN 201510660511A CN 105215542 B CN105215542 B CN 105215542B
Authority
CN
China
Prior art keywords
welding process
friction welding
welding
stage
frequency
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.)
Expired - Fee Related
Application number
CN201510660511.0A
Other languages
Chinese (zh)
Other versions
CN105215542A (en
Inventor
傅莉
白雪垠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Northwestern Polytechnical University
Original Assignee
Northwestern Polytechnical University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Northwestern Polytechnical University filed Critical Northwestern Polytechnical University
Priority to CN201510660511.0A priority Critical patent/CN105215542B/en
Publication of CN105215542A publication Critical patent/CN105215542A/en
Application granted granted Critical
Publication of CN105215542B publication Critical patent/CN105215542B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K20/00Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
    • B23K20/26Auxiliary equipment
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K20/00Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
    • B23K20/12Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating the heat being generated by friction; Friction welding
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/03Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
    • G10L25/18Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Pressure Welding/Diffusion-Bonding (AREA)
  • Manufacturing Of Electrical Connectors (AREA)

Abstract

The invention discloses a kind of Underwater Acoustic channels method in friction welding (FW) welding process, the technical problem for solving Underwater Acoustic channels method poor practicability in existing friction welding (FW) welding process.Technical scheme is to gather the acoustical signal that friction welding (FW) welding process whole process is sent using the capacitor type microphone, Short Time Fourier Transform is carried out to the acoustical signal collected, obtain the time-frequency combination distribution map of acoustical signal, screen the maximum of points of each frame FFT result of calculations in time-frequency combination distribution map, obtain every frame FFT result of calculations maximum scatter diagram, filter the point that frequency values in every frame FFT result of calculations maximum scatter diagram are less than 5000Hz, according to the accumulation shape of data point in scatter diagram, all dot-dash are divided into three classes, the quasi-steady stage in friction welding process is corresponded to respectively, stabilization sub stage and brake stage.The present invention to the acoustical signal in friction welding (FW) welding process by making simple process, you can realizes effective differentiation to friction welding (FW) welding process, practical.

Description

Underwater Acoustic channels method in friction welding (FW) welding process
Technical field
The present invention relates to a kind of Underwater Acoustic channels method, Underwater Acoustic channels in more particularly to a kind of friction welding (FW) welding process Method.
Background technology
The important prerequisite that friction welding (FW) is detected in real time is exactly that it is studied stage by stage, helps to further appreciate that and connects The compacting mechanism of head, to realize the accurate control based theoretical of joint quality.Conventional method is by according to welding process The change of middle friction torque, by welding process be divided into initially, quasi-steady, stably, brake upset four-stage, be directed to Topmost technical problem is exactly the measurement of friction torque.The measurement of friction torque includes direct measurement and indirectly two kinds of sides of measurement Method, direct method directly obtains torque data by pasting foil gauge in workpiece or main shaft, although it is existing that result is precisely but not suitable for production Field is used;Indirect method is by measuring the friction torque of the output torque approximate estimation workpiece of main motor, although easy but error It is larger.The inconvenience of torque measurement brings suitable difficulty to the differentiation of friction welding process different phase, therefore is badly in need of a kind of New friction welding stage division method, it is simple and convenient and accurately realize this function.
The content of the invention
In order to overcome the shortcomings of Underwater Acoustic channels method poor practicability in existing friction welding (FW) welding process, the present invention provides one Plant Underwater Acoustic channels method in friction welding (FW) welding process.This method gathers friction welding (FW) welding process using the capacitor type microphone The acoustical signal that whole process is sent, Short Time Fourier Transform is carried out to the acoustical signal that collects, obtain acoustical signal when-frequency Joint Distribution Figure, during screening-frequency Joint Distribution figure in each frame FFT result of calculations maximum of points, obtain every frame FFT result of calculation maximums Scatter diagram, filters the point that frequency values in every frame FFT result of calculations maximum scatter diagram are less than 5000Hz, according to data in scatter diagram Point accumulation shape, all dot-dash are divided into three classes, respectively correspond to friction welding process in the quasi-steady stage, the stabilization sub stage and The brake stage.The present invention to the acoustical signal in friction welding (FW) welding process by making simple process, you can realizes to being welded to friction welding (FW) Effective differentiation in quasi-steady stage, stabilization sub stage and upset stage of braking in termination process, and can be complete using existing welding machine It is practical into operation.
The technical solution adopted for the present invention to solve the technical problems is:Underwater Acoustic channels in a kind of friction welding (FW) welding process Method, is characterized in using following steps:
Step 1: selection frequency response range is gathered in 20Hz~20kHz capacitor type microphone as audio signal Instrument;
Step 2: gathering the acoustical signal that friction welding (FW) welding process whole process is sent using the capacitor type microphone;
Step 3: carry out Short Time Fourier Transform to the acoustical signal that collects, obtain acoustical signal when-frequency Joint Distribution Figure, the setup parameter of Short Time Fourier Transform is as follows:FFT length is 2560;Window function length is 1280;Overlap length is 1280;Window function type is Hanning window;
Step 4: screening when-frequency Joint Distribution figure in each frame FFT result of calculations maximum of points, by these maximums Point-rendering obtains every frame FFT result of calculations maximum scatter diagram by transverse axis of the time, in the coordinate system of the longitudinal axis of frequency;
Step 5: filtering the point that frequency values in every frame FFT result of calculations maximum scatter diagram are less than 5000Hz, only retain frequency Point of the rate scope in 5000Hz to 20000Hz;
Step 6: according to the accumulation shape of data point in scatter diagram, all dot-dash are divided into three classes, friction welding (FW) is corresponded to respectively Quasi-steady stage, stabilization sub stage and brake stage in termination process.The frequency values of first kind point reduce rapidly with the time, correspondence weldering The quasi-steady stage in termination process;The frequency values of Equations of The Second Kind point stablize constant with the time, the stabilization sub stage in correspondence welding process; The frequency values of 3rd class point Discrete Stochastic in 5000Hz to 20000Hz broadband is distributed, the brake in correspondence welding process The upset stage.
The beneficial effects of the invention are as follows:This method uses capacitor type microphone collection friction welding (FW) welding process whole process hair The acoustical signal gone out, Short Time Fourier Transform is carried out to the acoustical signal that collects, obtain acoustical signal when-frequency Joint Distribution figure, sieve When selecting-frequency Joint Distribution figure in each frame FFT result of calculations maximum of points, obtain every frame FFT result of calculations maximum scatterplot Figure, filters the point that frequency values in every frame FFT result of calculations maximum scatter diagram are less than 5000Hz, according to data point in scatter diagram Accumulation shape, all dot-dash are divided into three classes, and quasi-steady stage, stabilization sub stage and brake in friction welding process are corresponded to respectively Stage.The present invention to the acoustical signal in friction welding (FW) welding process by making simple process, you can realizes to being welded to friction welding (FW) Effective differentiation in quasi-steady stage, stabilization sub stage and upset stage of braking in journey, and can complete behaviour using existing welding machine Make, it is practical.
The present invention is elaborated with reference to the accompanying drawings and detailed description.
Brief description of the drawings
Fig. 1 is Underwater Acoustic channels method and background technology method each phase contrast figure in friction welding (FW) welding process of the present invention.
Embodiment
Reference picture 1.Underwater Acoustic channels method is comprised the following steps that in friction welding (FW) welding process of the present invention:
1st, it is used as audio signal sampling instrument from the handheld microphones of MicW i436.
2nd, to 2024-T6 rodss and bars of aluminium alloy, (size of sample is:Diameter 25mm, length 100mm, surface roughness to be welded 0.8) Continuous Drive Friction Welding experiment is carried out, friction-welding technique parameter setting is:Rotating speed 1500RPM, friction pressure 80MPa, Upsetting force 120MPa, rub shortening amount 5mm, and upsetter is made as brake upset and carried out simultaneously.Welded using microphone collection The acoustical signal sent in journey.
3rd, by the friction welding voice signal collected carry out Short Time Fourier Transform, obtain acoustical signal when-frequency combine Distribution map.Transformation parameter is:FFT length, 2560;Window function length, 1280;Overlap length, 1280;Window function type, the Chinese is peaceful Window.
4th, the maximum of points of each frame FFT operation results in time-frequency two-dimensional collection of illustrative plates is screened, these maximum of points are plotted in Using the time (unit is s) for transverse axis, frequency (unit is Hz) is in the coordinate system of the longitudinal axis, obtains every frame FFT operation results maximum It is worth scatter diagram.
5th, the point that frequency values in every frame FFT operation results maximum scatter diagram are less than 5000Hz, only reserve frequency model are filtered Be trapped among the point in 5000Hz to 20000Hz, by the step for, filtered out welding machine work ambient noise noise spot, only retain Friction of workpiece adds thermogenetic high frequency friction to scream sound available point in welding process.
6th, according to the different coherent conditions of data point in scatter diagram, and according to time order and function order, three will be divided into a little Class, the frequency values of first kind point reduce rapidly with the time, and duration is continuously the quasi-steady stage in 1.16s, correspondence welding process; The frequency values of Equations of The Second Kind point stablize constant with the time, duration 3.03s, the stabilization sub stage in correspondence welding process;3rd class The frequency values of point Discrete Stochastic in 5000Hz to 20000Hz broadband is distributed, duration 0.2s, in correspondence welding process The brake upset stage.
Fig. 1 is by friction welding process each stage of time-frequency two-dimensional graph cut and each rank divided by friction torque Section comparison diagram, two methods are good to the division correspondence in welding process each stage, thus illustrate, the inventive method can be substituted and rubbed Calibrated wrench method is wiped as the effective treating method of friction welding process divided stages.

Claims (1)

1. a kind of Underwater Acoustic channels method in friction welding (FW) welding process, it is characterised in that comprise the following steps:
Step 1: selection frequency response range is used as audio signal sampling instrument in 20Hz~20kHz capacitor type microphone;
Step 2: gathering the acoustical signal that friction welding (FW) welding process whole process is sent using the capacitor type microphone;
Step 3: carry out Short Time Fourier Transform to the acoustical signal that collects, obtain acoustical signal when-frequency Joint Distribution figure, it is short When Fourier transformation setup parameter it is as follows:FFT length is 2560;Window function length is 1280;Overlap length is 1280;Window letter Several classes of types are Hanning window;
Step 4: screening when-frequency Joint Distribution figure in each frame FFT result of calculations maximum of points, these maximum of points are painted Make by transverse axis of the time, frequency is in the coordinate system of the longitudinal axis, obtains every frame FFT result of calculations maximum scatter diagram;
Step 5: filtering point of the frequency values less than 5000Hz, only reserve frequency model in every frame FFT result of calculations maximum scatter diagram It is trapped among the point in 5000Hz to 20000Hz;
Step 6: according to the accumulation shape of data point in scatter diagram, all dot-dash are divided into three classes, friction welding (FW) is corresponded to respectively and is taken over Quasi-steady stage, stabilization sub stage and brake upset stage in journey;The frequency values of first kind point reduce rapidly with the time, correspondence weldering The quasi-steady stage in termination process;The frequency values of Equations of The Second Kind point stablize constant with the time, the stabilization sub stage in correspondence welding process; The frequency values of 3rd class point Discrete Stochastic in 5000Hz to 20000Hz broadband is distributed, the brake in correspondence welding process The upset stage.
CN201510660511.0A 2015-10-14 2015-10-14 Underwater Acoustic channels method in friction welding (FW) welding process Expired - Fee Related CN105215542B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510660511.0A CN105215542B (en) 2015-10-14 2015-10-14 Underwater Acoustic channels method in friction welding (FW) welding process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510660511.0A CN105215542B (en) 2015-10-14 2015-10-14 Underwater Acoustic channels method in friction welding (FW) welding process

Publications (2)

Publication Number Publication Date
CN105215542A CN105215542A (en) 2016-01-06
CN105215542B true CN105215542B (en) 2017-10-10

Family

ID=54984990

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510660511.0A Expired - Fee Related CN105215542B (en) 2015-10-14 2015-10-14 Underwater Acoustic channels method in friction welding (FW) welding process

Country Status (1)

Country Link
CN (1) CN105215542B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107170466B (en) * 2017-04-14 2020-12-29 中国科学院计算技术研究所 Mopping sound detection method based on audio
CN111161728B (en) * 2019-12-26 2022-08-30 珠海格力电器股份有限公司 Awakening method, awakening device, awakening equipment and awakening medium of intelligent equipment

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE59303576D1 (en) * 1992-12-21 1996-10-02 Stephan Vandaele Electrically heated cooking vessel
KR20130062765A (en) * 2011-12-05 2013-06-13 세종공업 주식회사 Apparatus and method for monitoring of friction stir welding and friction stir spot welding process
CN102764927B (en) * 2012-07-03 2014-10-22 广东技术师范学院 Method for quantitatively evaluating stability of arc welding process based on sample entropy of arc sound sound spectrum
FR3015321B1 (en) * 2013-12-20 2016-01-15 Snecma INERTIAL FRICTION WELDING MACHINE WITH IN SITU WELDING CONTROL DEVICE

Also Published As

Publication number Publication date
CN105215542A (en) 2016-01-06

Similar Documents

Publication Publication Date Title
CN105215542B (en) Underwater Acoustic channels method in friction welding (FW) welding process
EP2767228B1 (en) Device and method for improving identification accuracy of fetal heart rate deceleration
CN106768266B (en) A kind of measurement method of workshop reverberation time that rejecting background noise energy
DE102012014313B4 (en) NUMERICAL CONTROL DEVICE OF A MACHINE TOOL WITH TONE CONVERSION UNIT
EP2426949A3 (en) Method and apparatus for reproducing front surround sound
EP3460446B1 (en) Noise removal method of material test and material testing machine
CN105921854B (en) A kind of rotating the arc narrow gap MAG welding line deviation identification devices and method
CN106031197A (en) Acoustic processing device, acoustic processing method, and acoustic processing program
CN102764927B (en) Method for quantitatively evaluating stability of arc welding process based on sample entropy of arc sound sound spectrum
CN102441579A (en) Online monitoring method for running state of hot continuous rolling mill
CN105708496A (en) Blood flow information multi-dimensional imaging system based on ultrasound
CN113405795A (en) Weak fault identification method for joint RV reducer
CN109894925B (en) Thin-wall part milling vibration monitoring method based on embedded piezoelectric sensor
CN105478351A (en) Real-time detecting system and method for vibration screen treatment amount
CN102085094A (en) Method for determining sound intensity peak slopes of originating point and vanishing point of Korotkoff sounds
CN102672626B (en) Ultrahigh pressure water jet velocity optimal control method extracted based on voice characteristics
CN102305661A (en) Denoising processing method for inhaul cable vibration signal of cable-stayed bridge
CN107941511A (en) A kind of implementation method of the frequency based on signal Time-frequency Decomposition-kurtosis figure
EP2107520A3 (en) Device, method and program for signal noise reduction
CN106292272A (en) A kind of real-time control method of the cutterhead cutting-in of cane harvesting machine
CN112394402A (en) Method and system for detecting microseism signals based on synchronous extrusion wavelet transform
JPWO2016207951A1 (en) Shunt sound analysis device, shunt sound analysis method, computer program, and recording medium
DE102004016196B4 (en) Apparatus and method for intermittent drive and analysis of an electromechanical system
CN103240551B (en) Method, device and system for controlling numerically controlled welding speed
CN114358321A (en) Machine learning detection method for abnormal sound of motor

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20171010

Termination date: 20171014