CN106153201A - A kind of method of real-time in metal frictional abrasion self-repair procedure - Google Patents
A kind of method of real-time in metal frictional abrasion self-repair procedure Download PDFInfo
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- CN106153201A CN106153201A CN201510188470.XA CN201510188470A CN106153201A CN 106153201 A CN106153201 A CN 106153201A CN 201510188470 A CN201510188470 A CN 201510188470A CN 106153201 A CN106153201 A CN 106153201A
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Abstract
The invention discloses the method for real-time in a kind of metal frictional abrasion self-repair procedure, belong to on-line monitoring technique field, selfreparing surface.It is a kind of by measuring the method that in self-repair procedure, variations in temperature characterizes fretting wear repairing effect.Because selfreparing occurs in process of friction and wear, therefore selfreparing state can be characterized by variations in temperature.The Infrared reflected by surface of friction pair after infrared source irradiates, infrared sensor is arrived by optical filter and optical element, optical signal after reflection is converted into the signal of telecommunication by infrared sensor, is processed by computer, finally gives temperature variation curve in self-repair procedure.The present invention uses non-contact measurement, and sample frequency up to 200kHz, certainty of measurement height, moderate range, does not destroy original temperature field.This method is more directly perceived, accurate than Spectral Analysis Method and contact resistance method, and need not the measurement knowledge and experience of specialty.
Description
Technical field
The invention belongs to infrared monitoring field, in particular it relates to the method for real-time in a kind of metal frictional abrasion self-repair procedure.
Background technology
In recent years, the detection technique for wear surface selfreparing has had remarkable progress, but these technology need equipment repeatedly shutdown inspection mostly;Also someone utilizes scanning electron microscope, energy disperse spectroscopy and nano-hardness tester etc. to carry out the analysis of pattern, element and Micro Mechanical Properties, and method is complicated and needs also exist for machine stopping production.Online measuring technique provides a kind of new approach in the selfreparing detection that develops into of selfreparing context of detection.The scholars such as the Maritime Affairs University Of Dalian use contact resistance method that friction surface is lubricated test, but test result does not have quantitative analysis ability and can not reflect selfreparing process;Fluid on-line monitoring accuracy is preferable, but it is bigger to there is also error, it is impossible to visual representations selfreparing surface;Vibrations noise measuring environmental effect to external world is more sensitive, and current technology is the most immature.
Summary of the invention
For solving the problems referred to above, it is an object of the invention to provide the method for real-time in a kind of metal frictional abrasion self-repair procedure, the technical scheme used is, its detecting step is.
1. operational factor determines.First apply this device to carry out a standard temperature in calorstat every 0.5 degree on the basis of friction pair initial temperature value to demarcate, the signal value obtained by measurement device standard temperature is as the strength criterion of this temperature, carry out organizing measurement more and draw temperature-infrared intensity curve, during the collection of infrared intensity, use repetitive measurement to average:
In formula, k is the testing time that n-th is measured, and P (i) is the measured value of infrared intensity, E (s, nj) it is the measurement average of n-th.
2. carrying out actual measurement, the optical signal that reflection comes is converted into the signal of telecommunication, input signal harvester by infrared sensor respectively.Obtaining temperature value according to the temperature in step 1-infrared intensity curve, fixed interval takes multiple measurements the Temperature-time relation curve obtaining selfreparing surface.
3. it is selected from temperature when preprosthetic friction pair temperature occurs with selfreparing as benchmark, according to the curve in reference value and 2, repairing effect is carried out contrast to judge, system temperature reacting condition fretting wear selfreparing process, analyzes curve and i.e. can get selfreparing time of origin and repairing effect quality.Temperature value when judged result can be carried out with selfreparing by measured value carries out contrast and judges,
Wherein (s, j) for the temperature value after conversion, D (t) is selfreparing temperature value when carrying out to D, curve chart analysis obtain, and step is shown in and is embodied as case.
The change procedure of heat during selfreparing mantle friction is monitored by the present invention by infrared sensor; the selfreparing situation of whole process is obtained by signal processing and analyzing; have an advantage in that simple to operate; need not shutdown inspection and surface contact measurement; because infrared intensity is directly proportional to the biquadratic of temperature; this equipment is very sensitive to temperature detection; selfreparing state in friction process can be monitored by the determination calibration having only to carry out before use parameter; without Professional knowledge technical ability, under unmanned state, realize the measurement of long period.
Accompanying drawing explanation
Fig. 1 present system simplified block diagram.
Fig. 2 apparatus of the present invention sketch.
Fig. 3 infrared probe of the present invention schematic diagram.
Fig. 4 Surface testing of the present invention flow chart.
Fig. 5 temperature of the present invention-infrared intensity experiment curv figure.
Fig. 6 temperature-time curve of the present invention figure.
Fig. 3 accompanying drawing illustrates: 1 power supply, 2 infrared light supplies, 3 optical filters, 4 amplifying circuits, 5 refractors, 6 rectification circuits, 7 convex lenss, 8 infrared photodiodes.
Detailed description of the invention
The present invention is directed to detect surface self-repairing effect and propose a kind of new detection method, below as a example by ring slider surface self-repairing, and combine accompanying drawing the present invention done detailed introduction, it should be understood that, specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.Concrete grammar is as follows.
1. infrared light supply uses IR12-21C type diode, and receptor uses P3207-08 lead selenide light guide sensor, measures head distance surface about 10cm.The drive circuit that laser diode is made up of OPA2662 drives, OPA602 and audion 2N3906 provide biasing circuit, provides bias current for laser diode.Infrared probe is as shown in the figure: 1,2 is independent infrared light supply, and wherein 2 is infrarede emitting diode.The infrared light of rubbed surface reflection filtered 3, lens 5 and optically focused convex lens 7 eventually arrive at infrared photodiode 8, light restricting the number is converted to the signal of telecommunication by this diode, and electric current now needs, through rectification circuit 6 and signal amplification circuit 4, to finally give stable detectable signal.
2. draw standard temperature-infrared intensity curve.Because shoe surface temperature rise is less, first on the basis of 25 ° of C, in calorstat, carry out a standard temperature every 0.5 ° of C and demarcate, the 40 ° of C in maximum temperature location.By the infrared intensity of infrared collecting equipment calibration standard temperature as the strength standard value of this temperature, convert with this.Input computer carries out temperature conversion as standard value, as shown in Figure 4.
3. after machine runs 2.5h, additive of self-rehabilitation being dispensed into lubricating oil and add between friction pair, carry out surface temperature mensuration, experiment runs under 200N and 60m/min speed, and additive is Nanometer Copper and hydroxyl magnesium silicate composite nano powder.
4. carry out On-line Self-repairing detection.The optical signal that reflection comes is converted into the signal of telecommunication, input signal harvester by infrared sensor respectively, calculates the meansigma methods of the many groups infrared intensity data obtained, measurement interval 0.1s, and often group is surveyed 5 times:
In formula, P (i) is the infrared intensity value every time measured, E (s, nj) it is the measurement average of jth time.
5. average value measured is carried out infrared intensity-temperature transition, E (s, nj) to be computed built-in temperature-infrared intensity Curve transform be that (s, j), D (t) is selfreparing temperature value when carrying out to temperature value D, curve chart analysis obtain, as shown in phantom in Figure 5.Take multiple measurements the Temperature-time relation curve obtaining selfreparing surface.When research finds selfreparing generating process and simple friction, temperature has large change, and selfreparing process is with process of friction and wear alternately.
6. interpretation of result.I=D (s, j)/D (t) can it is seen from figure 6 that, dotted line represents temperature when selfreparing occurs, monitoring state curve and the ratio of selfreparing measured value are the best the closer to 1 explanation selfreparing effect, curve is then for reaching stationary value the soonest, the best curve of repairing effect is the best closer to optimal value repairing effect, and as can be seen from the figure selfreparing occurs in the first six initial hour rather than occurs at the very start.Just during oil addition, temperature has declined is due to the cooling effect of lubricating oil itself, and occur gradually to reduce in the fretting wear self-repair procedure time of 12h and 31h, illustrate that selfreparing is a cyclic process, and self-repair procedure temporarily ceases after being gradually reduced explanation performance recovery, until selfreparing is carried out again after there is abrasion, ultimately form thicker self-repairing control.
Claims (3)
1. the method for real-time in a metal frictional abrasion self-repair procedure, it is characterized in that, its detecting step is: (1) is first applied this device to carry out a standard temperature in calorstat every 0.5 degree on the basis of friction pair initial temperature value and demarcated, more the signal value obtained by this measurement device standard temperature, as the strength criterion of this temperature, is carried out organizing measurement and draws temperature-infrared intensity curve;(2) actual measurement is carried out, the optical signal that reflection comes is converted into the signal of telecommunication by infrared sensor, input signal harvester, calculate the meansigma methods of the multi-group data obtained, according to step 1) in temperature-infrared intensity curve obtain temperature value, fixed interval takes multiple measurements the Temperature-time relation curve obtaining selfreparing surface;(3) temperature when preprosthetic friction pair temperature occurs it is selected from selfreparing as benchmark, according to step 2) in temperature-time curve repairing effect is made analysis judge, system temperature reacting condition repairs process, analyzes curve and i.e. may know that when selfreparing is being carried out and the fretting wear selfreparing persistent period.
Method of real-time in a kind of metal frictional abrasion self-repair procedure the most according to claim 1, is characterized in that, step 2) in many cell means calculate
In formula, k is the testing time that n-th is measured, P(i) it is the measured value of infrared intensity, E (s, n) is the measurement average of n-th,
In step 3), measurement result output form is
i=D(s,j)/D(t)
(s, j) for the temperature value after conversion, D (t) is selfreparing temperature value when carrying out, curve chart analysis obtain, and selfreparing process, without correction, can be monitored and anticipation by this temperature value by tracing analysis for D in formula.
Method of real-time in a kind of metal frictional abrasion self-repair procedure the most according to claim 1, is characterized in that, in step 1), the operation of device runs under being equivalent to device underload and moderate rotation, the wavelength of infrared fileter is 940nm.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108535266A (en) * | 2018-04-12 | 2018-09-14 | 河北工业大学 | Electric connector fretting wear detecting system based on Infrared Thermography Technology and method |
CN111710151A (en) * | 2020-06-30 | 2020-09-25 | 珠海格力智能装备有限公司 | Infrared emission intensity detection system, method and device, storage medium and processor |
CN114354422A (en) * | 2021-12-30 | 2022-04-15 | 大连海事大学 | Friction pair wear state monitoring method based on electric signals |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07120328A (en) * | 1993-10-22 | 1995-05-12 | Toyota Motor Corp | Temperature sensor for friction surface |
CN101092733A (en) * | 2007-06-25 | 2007-12-26 | 大连海事大学 | Method and equipment for preparing abrasion self-repairing plating coat on surface of metal |
CN101422825A (en) * | 2008-09-18 | 2009-05-06 | 深圳市金洲精工科技股份有限公司 | Method for detecting micro drill-bit wear degree, method using the said method and drilling device |
CN202433272U (en) * | 2011-12-27 | 2012-09-12 | 江门市本和机车配件实业有限公司 | Friction and wear tester for high temperature surface of metal-rubber composite sealing plate |
CN103160369A (en) * | 2013-03-29 | 2013-06-19 | 哈尔滨工业大学 | Self-repairing compound titanium-based grease and preparation method thereof |
CN104374476A (en) * | 2013-08-13 | 2015-02-25 | 联想移动通信科技有限公司 | Method and device for detecting environment temperature and terminal |
-
2015
- 2015-04-20 CN CN201510188470.XA patent/CN106153201A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07120328A (en) * | 1993-10-22 | 1995-05-12 | Toyota Motor Corp | Temperature sensor for friction surface |
CN101092733A (en) * | 2007-06-25 | 2007-12-26 | 大连海事大学 | Method and equipment for preparing abrasion self-repairing plating coat on surface of metal |
CN101422825A (en) * | 2008-09-18 | 2009-05-06 | 深圳市金洲精工科技股份有限公司 | Method for detecting micro drill-bit wear degree, method using the said method and drilling device |
CN202433272U (en) * | 2011-12-27 | 2012-09-12 | 江门市本和机车配件实业有限公司 | Friction and wear tester for high temperature surface of metal-rubber composite sealing plate |
CN103160369A (en) * | 2013-03-29 | 2013-06-19 | 哈尔滨工业大学 | Self-repairing compound titanium-based grease and preparation method thereof |
CN104374476A (en) * | 2013-08-13 | 2015-02-25 | 联想移动通信科技有限公司 | Method and device for detecting environment temperature and terminal |
Non-Patent Citations (1)
Title |
---|
程清: "热力耦合条件下基于红外测量的摩擦副温度场研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108535266A (en) * | 2018-04-12 | 2018-09-14 | 河北工业大学 | Electric connector fretting wear detecting system based on Infrared Thermography Technology and method |
CN108535266B (en) * | 2018-04-12 | 2024-01-19 | 河北工业大学 | Electrical connector fretting wear detection system and method based on infrared thermal imaging technology |
CN111710151A (en) * | 2020-06-30 | 2020-09-25 | 珠海格力智能装备有限公司 | Infrared emission intensity detection system, method and device, storage medium and processor |
CN114354422A (en) * | 2021-12-30 | 2022-04-15 | 大连海事大学 | Friction pair wear state monitoring method based on electric signals |
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Application publication date: 20161123 |