CN104458075A - Stress distribution monitoring device and method - Google Patents
Stress distribution monitoring device and method Download PDFInfo
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- CN104458075A CN104458075A CN201410850516.5A CN201410850516A CN104458075A CN 104458075 A CN104458075 A CN 104458075A CN 201410850516 A CN201410850516 A CN 201410850516A CN 104458075 A CN104458075 A CN 104458075A
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Abstract
The invention discloses a stress distribution monitoring device and method. The stress distribution monitoring device is mainly composed of piezoelectric fibers, a dynamic signal amplifier, a charge amplifier, a signal adoption holding circuit, a multi-way analogue switch, an A/D converter and a microprocessor. The monitoring method of the stress distribution monitoring device comprises the steps that the multiple piezoelectric fibers are crossed and distributed to form a net on a structural part to be detected to perceive piezoelectric information generated by stress deformation of the structural part, and the stress distribution of the structural part is determined through information processing of the crossed fibers. The monitoring method can analyze the stress distribution of machines and other structural parts in real time and is of great significance on preventing structures from being excessively stressed to be fractured.
Description
Technical field
The present invention relates to a kind of stress distribution monitoring device and method, the STRESS VARIATION being particularly useful for detecting tool or machine structural parts uses.
Background technology
The stress monitoring of current machinery or other structure member adopts strain transducer usually, the information of monitoring often reacts the distortion of whole mechanical part, accurately cannot understand the maximum strain of structure member and the stress distribution of position and total parts, this force analysis for mechanical part is very important.By the stress distribution of mechanical part, stressed unevenness can be found, for the structure of modification of structure member provides foundation; By the maximum stress analysis of structure member, key message can be provided for the control of mining machinery equipment, avoid stressed excessive and fracture accident occurs.And current various stress monitoring methods all cannot reach this requirement.
The technology that current stress distribution detects mainly contains magnetic detection method (ZL01143445.7), utilizes ferrimagnet Surface field Strength Changes to carry out the stress distribution that its inside is measured in side.The shortcoming that this detection method exists mainly contains 2 points.First detected object must be limited to ferrimagnet, cannot detect the structure of nonferromugnetic material; Second detection signal is as easy as rolling off a log is subject to environment electromagnetics interference, the reliability that impact detects.
Summary of the invention
Technical matters: the object of the invention is for Problems existing in prior art, provides a kind of structure simple, easy to use, can the stress distribution situation of machine structural parts, and not by stress distribution monitoring device and the method for electromagnetic interference (EMI).
Technical scheme: for achieving the above object, stress distribution monitoring device of the present invention, comprise multiway analog switch, the multiple pressure inductors be connected with multiway analog switch two, A/D converter and microprocessor, described pressure inductor comprises piezoelectric fabric, output follower, charge amplifier, differentiator and signal adopt holding circuit, wherein piezoelectric fabric is arranged in tested device, piezoelectric fabric one end ground connection, one end is connected with output follower, the output terminal of output follower is connected with the input end of differentiator with charge amplifier respectively, charge amplifier adopts the input end of holding circuit to be connected with two signals with the output terminal of differentiator respectively, two signals adopt the output terminal of holding circuit to be connected with the input end of multiway analog switch respectively, the output terminal order of described multiway analog switch is connected with microprocessor with A/D converter.
Described output follower is made up of operational amplifier and resistance R1, and the output terminal that leads to of operational amplifier is provided with resistance R1, and inverse output terminal is connected with output terminal, and R1 value is 100k, and operational amplifier model is ADA4891; Described charge amplifier is made up of operational amplifier and resistance R2, resistance R3 and electric capacity C1; The reverse input end of wherein operational amplifier is connected to one end of resistance R2, resistance R3 and electric capacity C1, resistance R2 is connected with the output terminal of operational amplifier with the other end of electric capacity C1, the positive input end grounding current potential of operational amplifier, resistance R2 value 10k, resistance R3 value 1G, electric capacity C1 value 100p, operational amplifier model is ADA4891; Described differentiator is by operational amplifier, resistance R4 and electric capacity C2, wherein the input end of differentiator connects the inverting input of operational amplifier by electric capacity C2, resistance R4 is as negative feedback component, resistance R4 two ends connect inverting input and the output terminal of operational amplifier respectively, the positive input end grounding of operational amplifier, resistance R4 value 100k, electric capacity C2 value 0.22uF, operational amplifier model is ADA4891.
Use the stress distribution monitoring method of said apparatus, comprise the steps:
A, be divided into horizontal piezoelectric fabric and longitudinal piezoelectric fabric to be mutually crossed as piezoelectric fabric net the piezoelectric fabric in multiple pressure inductor being arranged on tested article, when tested article STRESS VARIATION, STRESS VARIATION information input charge amplifier and the differentiator respectively that output follower will detect on piezoelectric fabric, now charge amplifier exports static electric charge signal, differentiator output charge change tread signal;
B. the charge variation Dynamic Signal on the piezoelectric fabric collected and static electric charge signal all adopt holding circuit to be input to multiway analog switch by signal by each pressure inductor, and by the passage of multiway analog switch, the signal of collection to be converted to after digital signal from simulating signal via A/D converter and to be sent to microprocessor;
C. the signal that the piezoelectric fabric laterally placed sends is classified as horizontal piezoelectric fabric signal by microprocessor, and the signal that the piezoelectric fabric longitudinally placed sends is classified as longitudinal piezoelectric fabric signal;
D. the charge variation Dynamic Signal of horizontal piezoelectric fabric is carried out vector addition computing with the charge variation Dynamic Signal of longitudinal piezoelectric fabric by microprocessor successively, result is arranged in order from big to small; The static electric charge signal of horizontal piezoelectric fabric is carried out vector addition computing with the static electric charge signal of longitudinal piezoelectric fabric successively, result is arranged in order from big to small;
E, the signal of horizontal piezoelectric fabric gathered and the carrying out of the signal of longitudinal piezoelectric fabric are asked vector, obtain the signal of horizontal piezoelectric fabric and the strain numerical value at longitudinal piezoelectric fabric point of crossing place, wherein two electric charge Dynamic Signal vector sums represent the dynamic strain numerical value of point of crossing, and the vector sum of two static electric charge signals represents the static strain numerical value of point of crossing; According to this, dynamic strain numerical value and the static strain numerical value group at piezoelectric fabric and the piezoelectric fabric point of crossing place of longitudinally placing that piezoelectric fabric arranged in a crossed manner is laterally placed can be obtained;
F, microprocessor are by comparing the dynamic strain numerical value obtained and static strain numerical value group numerical value, thus select maximum dynamic strain numerical value and the static strain numerical value of these piezoelectric fabric distributed areas, judge the maximum strain point of this point as tested article force structure in piezoelectric fabric net, the numerical value of maximum strain point is compared with preset value, thus judges that whether stressed piezoelectric fabric net is excessive.
Use simple interpolations method can calculate the stress distribution value of any point in piezoelectric fabric network distribution region according to the dynamic strain numerical value at piezoelectric fabric distributed network point of crossing place and static strain numerical value group.
Beneficial effect: owing to have employed technique scheme, the present invention adopts piezoelectric fabric to form distribution of net, detect that testee STRESS VARIATION distributes by piezoelectric fabric distribution of net, stress mornitoring result is not easy the interference being subject to electromagnetic environment simultaneously, good reliability, can be used for carrying out Real-Time Monitoring to total stress distribution, Timeliness coverage maximum weighted region, be suitable for the Rationality Study of structure stress distribution simultaneously.Major advantage is: anti-interference good, can the stress distribution of precise monitoring unit under test, and the abnormal position of counter stress is accurately located.
Accompanying drawing explanation
Fig. 1 is structure of the detecting device schematic diagram of the present invention;
Fig. 2 is the circuit diagram of the output follower in pick-up unit of the present invention;
Fig. 3 is the circuit diagram of the charge amplifier in pick-up unit of the present invention;
Fig. 4 is the circuit diagram of the differentiator in pick-up unit of the present invention;
Fig. 5 is that piezoelectric fabric of the present invention arranges schematic diagram.
In figure, 1-piezoelectric fabric; 2-output follower; 3-charge amplifier; 4-differentiator; 5-signal adopts holding circuit; 6-multiway analog switch; 7-A/D converter; 8-microprocessor; 9-operational amplifier.
Embodiment
Below in conjunction with accompanying drawing, embodiment is described further:
As shown in Figure 1, a kind of stress distribution monitoring device, comprise multiway analog switch 6, the multiple pressure inductors be connected with multiway analog switch 6 liang, A/D converter 7 and microprocessor 8, described pressure inductor comprises piezoelectric fabric 1, output follower 2, charge amplifier 3, differentiator 4 and signal adopt holding circuit 5, wherein piezoelectric fabric 1 is arranged in tested device, piezoelectric fabric 1 one end ground connection, one end is connected with output follower 2, the output terminal of output follower 2 is connected with the input end of charge amplifier 3 with differentiator 4 respectively, charge amplifier 3 adopts the input end of holding circuit 5 to be connected with two signals with the output terminal of differentiator 4 respectively, two signals adopt the output terminal of holding circuit 5 to be connected with the input end of multiway analog switch 6 respectively, the output terminal order of described multiway analog switch 6 is connected with microprocessor 8 with A/D converter 7, wherein testing circuit is only for the input of a piezoelectric fabric, there are the some mutual square crossings of piezoelectric fabric arranged evenly, be close on tested structure member, one end earthing potential of every root piezoelectric fabric.Signal adopts the model of holding circuit 5 to be AD9100; The model of multiway analog switch 6 is DG406; The model of A/D converter 7 is MAX197, and the model of microprocessor 8 is 80C196.
As shown in Figure 2, described output follower 2 is made up of operational amplifier 9 and resistance R1, and the output terminal that leads to of operational amplifier 9 is provided with resistance R1, and inverse output terminal is connected with output terminal, and R1 value is 100k, and operational amplifier 9 model is ADA4891.
As shown in Figure 3, described charge amplifier 3 is made up of operational amplifier 9 and resistance R2, resistance R3 and electric capacity C1; The reverse input end of wherein operational amplifier 9 is connected to one end of resistance R2, resistance R3 and electric capacity C1, resistance R2 is connected with the output terminal of operational amplifier 9 with the other end of electric capacity C1, the positive input end grounding current potential of operational amplifier 9, resistance R2 value 10k, resistance R3 value 1G, electric capacity C1 value 100p, operational amplifier 9 model is ADA4891.
As shown in Figure 4, described differentiator 4 is by operational amplifier 9, resistance R4 and electric capacity C2, wherein the input end of differentiator 4 connects the inverting input of operational amplifier 9 by electric capacity C2, resistance R4 is as negative feedback component, resistance R4 two ends connect inverting input and the output terminal of operational amplifier 9 respectively, the positive input end grounding of operational amplifier 9, resistance R4 value 100k, electric capacity C2 value 0.22uF, operational amplifier 9 model is ADA4891.
Stress distribution monitoring method of the present invention, concrete steps are as follows:
A, be divided into horizontal piezoelectric fabric and longitudinal piezoelectric fabric to be mutually crossed as piezoelectric fabric net the piezoelectric fabric 1 in multiple pressure inductor being arranged on tested article, when tested article STRESS VARIATION, STRESS VARIATION information input charge amplifier 3 and the differentiator 4 respectively that output follower 2 will detect on piezoelectric fabric 1, the signal of every root piezoelectric fabric has 2, one is charge variation Dynamic Signal, one is static electric charge signal, now charge amplifier 3 exports static electric charge signal, differentiator 4 output charge change tread signal; As shown in Figure 5, the output of piezoelectric fabric x1 has charge variation Dynamic Signal dQ
x1with static electric charge signal Q
x1;
B. piezoelectric fabric signal is divided into two groups, mutual square crossing arrangement, be close to monitored body structure surface, charge variation Dynamic Signal on the piezoelectric fabric 1 collected and static electric charge signal all adopt holding circuit 5 to be input to multiway analog switch 6 by signal by each pressure inductor, and by the passage of multiway analog switch 6, the signal of collection to be converted to after digital signal from simulating signal via A/D converter 7 and to be sent to microprocessor 8;
C. the signal that the piezoelectric fabric 1 laterally placed sends is classified as horizontal piezoelectric fabric signal by microprocessor 8, and the signal that the piezoelectric fabric 1 longitudinally placed sends is classified as longitudinal piezoelectric fabric signal;
D. the charge variation Dynamic Signal of horizontal piezoelectric fabric is carried out vector addition computing with the charge variation Dynamic Signal of longitudinal piezoelectric fabric by microprocessor 8 successively, as Fig. 5, and the static electric charge signal Q of piezoelectric fabric x3 and piezoelectric fabric y2
x3and Q
y2vector be
result is arranged in order from big to small; The static electric charge signal of horizontal piezoelectric fabric is carried out vector addition computing with the static electric charge signal of longitudinal piezoelectric fabric successively, as the static electric charge signal dQ of x3 and y2 piezoelectric fabric in Fig. 5
x3and dQ
y2vector be
again result is arranged in order from big to small;
E, by gather the signal of horizontal piezoelectric fabric and the signal of longitudinal piezoelectric fabric carry out vector addition computing, obtain the signal of horizontal piezoelectric fabric and the strain numerical value at longitudinal piezoelectric fabric point of crossing place, wherein two electric charge Dynamic Signal vector sums represent the dynamic strain numerical value of point of crossing, and the vector sum of two static electric charge signals represents the static strain numerical value of point of crossing; According to this, dynamic strain numerical value and the static strain numerical value group at the piezoelectric fabric 1 and piezoelectric fabric 1 point of crossing place of longitudinally placing that piezoelectric fabric 1 arranged in a crossed manner is laterally placed can be obtained; In Fig. 5, the static strain numerical value of a point is
the dynamic strain numerical value of a point is
according to this, dynamic strain numerical value and the static strain numerical value at whole piezoelectric fabric distributed network point of crossing place can be obtained.
F, microprocessor 8 are by comparing the dynamic strain numerical value obtained and static strain numerical value group numerical value, thus select maximum dynamic strain numerical value and the static strain numerical value of these piezoelectric fabric distributed areas, judge the maximum strain point of this point as tested article force structure in piezoelectric fabric net, the numerical value of maximum strain point is compared with preset value, thus judges that whether stressed piezoelectric fabric net is excessive.
Use simple interpolations method can calculate the stress distribution value of any point in piezoelectric fabric network distribution region according to the dynamic strain numerical value at piezoelectric fabric distributed network point of crossing place and static strain numerical value group; Stress value as p point in Fig. 5 can be calculated by piezoelectric fabric x3, x4, y2 and y3 that 4 network nodes a, b, c and d are corresponding.If the position of p point between x3 and x4 relative x3 and x4 distance is than for relative y2 and the y3 distance in the position of ζ, p point between y2 and y3 is than being δ.Then, the static strain numerical value of p point can calculate:
wherein,
equally, the dynamic strain numerical value of p point can also be calculated.
Claims (6)
1. a stress distribution monitoring device, it is characterized in that: it comprises multiway analog switch (6), the multiple pressure inductors be connected with multiway analog switch (6) two, A/D converter (7) and microprocessor (8), described pressure inductor comprises piezoelectric fabric (1), output follower (2), charge amplifier (3), differentiator (4) and signal adopt holding circuit (5), wherein piezoelectric fabric (1) is arranged in tested device, piezoelectric fabric (1) one end ground connection, one end is connected with output follower (2), the output terminal of output follower (2) is connected with the input end of charge amplifier (3) with differentiator (4) respectively, charge amplifier (3) adopts the input end of holding circuit (5) to be connected with two signals with the output terminal of differentiator (4) respectively, two signals adopt the output terminal of holding circuit (5) to be connected with the input end of multiway analog switch (6) respectively, the output terminal order of described multiway analog switch (6) is connected with microprocessor (8) with A/D converter (7).
2. stress distribution monitoring device according to claim 1, it is characterized in that: described output follower (2) is made up of operational amplifier (9) and resistance R1, the output terminal that leads to of operational amplifier (9) is provided with resistance R1, inverse output terminal is connected with output terminal, R1 value is 100k, and operational amplifier model is ADA4891.
3. stress distribution monitoring device according to claim 1, is characterized in that: described charge amplifier (3) is made up of operational amplifier (9) and resistance R2, resistance R3 and electric capacity C1; The reverse input end of wherein operational amplifier (9) is connected to one end of resistance R2, resistance R3 and electric capacity C1, resistance R2 is connected with the output terminal of operational amplifier (9) with the other end of electric capacity C1, the positive input end grounding current potential of operational amplifier (9), resistance R2 value 10k, resistance R3 value 1G, electric capacity C1 value 100p, operational amplifier model is ADA4891.
4. stress distribution monitoring device according to claim 1, it is characterized in that: described differentiator (4) is by operational amplifier (9), resistance R4 and electric capacity C2, wherein the input end of differentiator (4) connects the inverting input of operational amplifier (9) by electric capacity C2, resistance R4 is as negative feedback component, resistance R4 two ends connect inverting input and the output terminal of operational amplifier (9) respectively, the positive input end grounding of operational amplifier (9), resistance R4 value 100k, electric capacity C2 value 0.22uF, operational amplifier model is ADA4891.
5. use a stress distribution monitoring method for device described in claim 1, it is characterized in that comprising the steps:
A, be divided into horizontal piezoelectric fabric and longitudinal piezoelectric fabric to be mutually crossed as piezoelectric fabric net the piezoelectric fabric (1) in multiple pressure inductor being arranged on tested article, when tested article STRESS VARIATION, output follower (2) will detect STRESS VARIATION information input charge amplifier (3) and the differentiator (4) respectively on piezoelectric fabric (1), now charge amplifier (3) exports static electric charge signal, differentiator (4) output charge change tread signal;
B. the charge variation Dynamic Signal on the piezoelectric fabric collected (1) and static electric charge signal all adopt holding circuit (5) to be input to multiway analog switch (6) by signal by each pressure inductor, and by the passage of multiway analog switch (6), the signal gathered to be converted to after digital signal from simulating signal via A/D converter (7) and to be sent to microprocessor (8);
C. the signal that the piezoelectric fabric (1) laterally placed sends is classified as horizontal piezoelectric fabric signal by microprocessor (8), and the signal that the piezoelectric fabric (1) longitudinally placed sends is classified as longitudinal piezoelectric fabric signal;
D. the charge variation Dynamic Signal of horizontal piezoelectric fabric is carried out vector addition computing with the charge variation Dynamic Signal of longitudinal piezoelectric fabric by microprocessor (8) successively, result is arranged in order from big to small; The static electric charge signal of horizontal piezoelectric fabric is carried out vector addition computing with the static electric charge signal of longitudinal piezoelectric fabric successively, result is arranged in order from big to small;
E, the signal of horizontal piezoelectric fabric gathered and the carrying out of the signal of longitudinal piezoelectric fabric are asked vector, obtain the signal of horizontal piezoelectric fabric and the strain numerical value at longitudinal piezoelectric fabric point of crossing place, wherein two electric charge Dynamic Signal vector sums represent the dynamic strain numerical value of point of crossing, and the vector sum of two static electric charge signals represents the static strain numerical value of point of crossing; According to this, dynamic strain numerical value and the static strain numerical value group at the upper piezoelectric fabric (1) laterally placed of piezoelectric fabric (1) arranged in a crossed manner and piezoelectric fabric (1) the point of crossing place of longitudinally placing can be obtained;
F, microprocessor (8) are by comparing the dynamic strain numerical value obtained and static strain numerical value group numerical value, thus select maximum dynamic strain numerical value and the static strain numerical value of these piezoelectric fabric distributed areas, judge the maximum strain point of this point as tested article force structure in piezoelectric fabric net, the numerical value of maximum strain point is compared with preset value, thus judges that whether stressed piezoelectric fabric net is excessive.
6. stress distribution monitoring method according to claim 5, is characterized in that: use simple interpolations method can calculate the stress distribution value of any point in piezoelectric fabric network distribution region according to the dynamic strain numerical value at piezoelectric fabric distributed network point of crossing place and static strain numerical value group.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107271084A (en) * | 2017-06-22 | 2017-10-20 | 五邑大学 | A kind of flexibility stress sensor and preparation method thereof |
| CN107490445A (en) * | 2016-08-09 | 2017-12-19 | 宝沃汽车（中国）有限公司 | A kind of pressing force testing device, air regulator assembly and vehicle |
| WO2018116857A1 (en) * | 2016-12-21 | 2018-06-28 | 帝人株式会社 | Piezoelectric sensor and collision detection method |
| CN108267246A (en) * | 2017-12-12 | 2018-07-10 | 武汉科技大学 | A kind of dynamic Tai Yu roads ground connection stress measurement device and method |
| CN108534662A (en) * | 2018-04-12 | 2018-09-14 | 湖南科技大学 | A kind of principal strain directions sensor and determination method based on piezoelectric fabric |
| CN108553869A (en) * | 2018-02-02 | 2018-09-21 | 罗春芳 | A kind of pitching quality measurement apparatus |
| CN109612670A (en) * | 2018-12-07 | 2019-04-12 | 石家庄铁道大学 | A kind of protective net monitoring method, system and terminal device |
| CN112461411A (en) * | 2020-10-29 | 2021-03-09 | 扬州大学 | Bionic skin based on liquid core organic piezoelectric fiber |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108534662A (en) * | 2018-04-12 | 2018-09-14 | 湖南科技大学 | A kind of principal strain directions sensor and determination method based on piezoelectric fabric |
| CN109612670A (en) * | 2018-12-07 | 2019-04-12 | 石家庄铁道大学 | A kind of protective net monitoring method, system and terminal device |
| CN112461411A (en) * | 2020-10-29 | 2021-03-09 | 扬州大学 | Bionic skin based on liquid core organic piezoelectric fiber |
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