CN113588545A - Artificial intelligence check out test set of fabrics processing - Google Patents
Artificial intelligence check out test set of fabrics processing Download PDFInfo
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- CN113588545A CN113588545A CN202111140095.3A CN202111140095A CN113588545A CN 113588545 A CN113588545 A CN 113588545A CN 202111140095 A CN202111140095 A CN 202111140095A CN 113588545 A CN113588545 A CN 113588545A
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- G01N19/02—Measuring coefficient of friction between materials
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Abstract
The invention discloses artificial intelligent detection equipment for textile processing, which comprises a constant-temperature shell and is characterized in that: the cloth feeding device is characterized in that a cloth feeding opening is formed in the right side of the constant-temperature shell, a cloth discharging opening is formed in the left side of the constant-temperature shell, yarn cloth penetrates through the inner sides of the cloth feeding opening and the cloth discharging opening, a feeding motor is arranged on one side of the constant-temperature shell, an output shaft is fixedly mounted on one side of the feeding motor, a feeding roller is fixedly mounted on the outer side of the output shaft and attached to the output shaft, a tension detector is fixedly mounted inside the constant-temperature shell, the yarn cloth penetrates through the tension detector, a pneumatic cylinder is fixedly mounted inside the constant-temperature shell, an output rod is arranged on the lower side of the pneumatic cylinder, and a shearing force detector is arranged on the lower side of the output rod.
Description
Technical Field
The invention relates to the technical field of textile manufacturing, in particular to artificial intelligent detection equipment for textile processing.
Background
In the processing process of the textile, the required line detects the cloth, and whether each parameter of the cloth reaches the standard or not is judged according to the use scene of the cloth, wherein the friction coefficient is also a detection index.
The conventional friction coefficient detection equipment does not simulate the shape of a human hand to detect the friction coefficient of the cloth, is not intelligent enough, and cannot automatically eliminate the influence of humidity, tension and the like on the friction coefficient.
Therefore, it is necessary to design an artificial intelligent detecting device for textile processing, which simulates the shape of human hands to detect the friction coefficient of cloth and intelligently eliminates interference factors to obtain a more accurate result.
Disclosure of Invention
The invention aims to provide artificial intelligent detection equipment for textile processing, which aims to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a fabrics processing artificial intelligence check out test set, includes constant temperature shell, its characterized in that: the right side of constant temperature shell is provided with into cloth mouthful, the left side of constant temperature shell is provided with out the cloth mouth, it all has the yarn cloth to run through the inboard of cloth mouthful and out the cloth mouth to advance, one side of constant temperature shell is provided with walks the material motor, walk one side fixed mounting of material motor and have the output shaft, the outside fixed mounting of output shaft has the material roller of walking, walk the material roller and laminate mutually with the yarn cloth.
According to the technical scheme, the inside fixed mounting tension detector of constant temperature shell, the yarn cloth runs through the tension detector, the inside fixed mounting of constant temperature shell has the pneumatic cylinder, the downside of pneumatic cylinder is provided with the output pole, the downside of output pole is provided with the shearing force detector, the lower extreme fixed mounting of shearing force detector has the fixed plate, the lower extreme fixed mounting of fixed plate has five finger pieces, and the inner bearing of tension detector is connected with two sets of gyro wheels, and the middle sliding connection of tension detector has the pulley, the downside of pulley is provided with the measuring staff, the lower extreme of measuring staff is provided with the controller.
According to the technical scheme, the system used by the artificial intelligent detection equipment is a processing detection system, the processing detection system comprises a feeding module, an input module, a humidity detection unit, a friction detection module and a tension detection unit, the humidity detection unit is electrically connected with the friction detection module, and the tension detection unit is electrically connected with the friction detection module;
the feeding module is used for conveying yarn cloth and controlling tension between the yarn cloth, the input module is used for inputting parameters related to the yarn cloth, the humidity detection unit is used for detecting humidity inside the constant-temperature shell, the friction detection module is used for detecting friction force of the yarn cloth, and the tension detection unit is used for detecting tension on the yarn cloth.
According to the technical scheme, the feeding module comprises a control module and a feeding unit, the friction detection module comprises a pressure unit and a detection unit, the control module and the feeding unit are both electrically connected with a feeding motor, the pressure unit is electrically connected with a pneumatic cylinder, and the detection unit is electrically connected with a tension detector;
the control module is used for controlling the tension of the yarn cloth, the feeding module is used for conveying the yarn cloth, the pressure unit is used for providing constant pressure, and the detection unit is used for detecting the friction force.
According to the technical scheme, the working process of the processing detection system comprises the following steps:
s1: manually penetrating the yarn cloth into the constant-temperature shell through the cloth inlet;
s2: then putting the yarn cloth between the upper feeding roller and the lower feeding roller, enabling the yarn cloth to penetrate through the tension detector, and enabling the yarn cloth to go out of the constant-temperature shell through the cloth outlet;
s3: a tension detector detects tension of the yarn cloth;
s4: the control module controls the feeding motor to rotate according to the tension detected by the tension detector, so that the tension of the yarn cloth is a fixed value;
s5: the feeding module starts to control the feeding motor to rotate and starts to feed at a constant speed;
s6: starting the pneumatic cylinder to press the five finger blocks onto the yarn cloth and keeping the pressure constant;
s7: the shear force detector detects the shear force applied to the five finger blocks and outputs a signal;
s8: measuring the humidity outside the constant temperature shell;
s9: obtaining friction coefficients of different positions of the yarn cloth according to the relation between the shearing force and the time, and further obtaining a friction coefficient-position curve;
s10: obtaining the average friction coefficient of the yarn cloth with a certain length according to the friction coefficient-position curve;
s11: correcting the average friction coefficient according to the humidity of the external environment and the tension of the yarn cloth;
s12: and repeating the step S-S when the next piece of cloth is measured after the next piece of cloth is measured.
According to the above technical solution, the step S4 further includes the following steps:
s41: the preset tension is input according to the material of the yarn cloth, so that the abnormal friction force detection caused by the large-angle deflection of the yarn cloth due to insufficient tension when the friction force is detected is avoided;
s42: the tension detector detects the tension of the yarn cloth, and if the tension is greater than the preset tension, the feeding motor close to the cloth outlet is controlled to rotate anticlockwise;
s43: if the tension is smaller than the preset tension, the feeding motor close to the cloth inlet is controlled to rotate anticlockwise, and then the tension of the stretched yarn cloth is adjusted to a fixed value.
According to the above technical solution, the step S9 further includes the following steps:
s91: obtaining the relation between the friction force and the time according to the data measured by the shearing force detector at different time ends;
s92: the friction force is the product of the positive pressure and the friction coefficient, and the relation between the friction coefficient and the time can be further obtained;
s93: the time is equal to the speed of the yarn cloth at which the displacement is in transport motion, and the relation between the friction coefficient and the displacement can be deduced.
According to the technical scheme, in the step S10, the accumulated value of the friction coefficient in a certain displacement range is obtained through calculus, and then the average friction coefficient in the certain displacement range can be obtained by dividing the accumulated value by the length of the displacement range, so that the influence of accidental errors on the detection result is avoided.
According to the above technical solution, in the step S11, the friction coefficient and the tension are in inverse proportional relationship, and the tension between the yarn and the cloth during the detection is different from the expected tension during the use, and during the detection, in order to ensure the detection accuracy, a certain tension must be provided during the detection, so that the error caused by the tension needs to be eliminated.
According to the above technical solution, in step S11, when the humidity of the external environment is within a certain range, the friction coefficient and the external process are also cleared of the error caused by the humidity, and the corrected friction factor value can be obtained as follows:
in the formula:
is the average of the coefficients of friction over a range of displacements,
b is a constant obtained by linear fitting,
a is a proportionality constant for the tension correction coefficient,
in order to obtain the humidity correction coefficient,
in order to detect the tension of the yarn cloth,
to the desired tension, n is the external ambient humidity,
for the desired moisture during use of the yarn cloth,
and
is determined by the coefficient of frictionAnd the minimum humidity and the maximum humidity which are in exponential relation with the humidity and the friction coefficient obtained in the humidity relation curve.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the friction coefficient is measured by arranging the five finger blocks, the feeling of a person when the person feels the friction performance of the cloth by hand is simulated, so that the detection result is more advanced and humanized, and the processing and detecting system used by the invention can automatically eliminate the influence of tension, humidity and the like on the friction coefficient, so that the finally obtained friction coefficient is more accurate.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic block diagram of an overall system of the present invention;
FIG. 2 is a schematic overall perspective view of the present invention;
FIG. 3 is a schematic view of the external structure of the finger block of the present invention;
FIG. 4 is a schematic view of the internal structure of the tension detector of the present invention;
in the figure: 1. a constant temperature shell; 2. a cloth inlet; 3. a cloth outlet; 4. a feeding roller; 5. an output shaft; 6. yarn cloth; 7. a tension detector; 71. a roller; 72. a pulley; 73. a detection lever; 74. a controller; 8. a pneumatic cylinder; 9. an output rod; 10. a shear force detector; 11. a fixing plate; 12. and (6) a finger block.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides the following technical solutions: the utility model provides a fabrics processing artificial intelligence check out test set, includes constant temperature shell 1, its characterized in that: a cloth inlet 2 is formed in the right side of the constant-temperature shell 1, a cloth outlet 3 is formed in the left side of the constant-temperature shell 1, yarn cloth 6 penetrates through the inner sides of the cloth inlet 2 and the cloth outlet 3, a feeding motor is arranged on one side of the constant-temperature shell 1, an output shaft 5 is fixedly mounted on one side of the feeding motor, a feeding roller 4 is fixedly mounted on the outer side of the output shaft 5, and the feeding roller 4 is attached to the yarn cloth 6; the temperature inside the constant temperature shell 1 tends to be constant, the cloth inlet 2 is used for leading in cloth, the cloth outlet 3 is used for discharging the cloth, the material feeding motor drives the material feeding roller 4 to rotate, the yarn cloth 6 is driven to move, and the rotation of the material feeding motor can be controlled to adjust the tension of the yarn cloth 6.
A tension detector 7 is fixedly installed in the thermostatic case 1, a yarn cloth 6 penetrates through the tension detector 7, a pneumatic cylinder 8 is fixedly installed in the thermostatic case 1, an output rod 9 is arranged on the lower side of the pneumatic cylinder 8, a shearing force detector 10 is arranged on the lower side of the output rod 9, a fixing plate 11 is fixedly installed at the lower end of the shearing force detector 10, five finger blocks 12 are fixedly installed at the lower end of the fixing plate 11, two groups of rollers 71 are connected to an inner bearing of the tension detector 7, a pulley 72 is slidably connected in the middle of the tension detector 7, a detection rod 73 is arranged on the lower side of the pulley 72, and a controller 74 is arranged at the lower end of the detection rod 73; the tension detector 7 can detect the force required to move the pulley 72 upward to detect the tension of the yarn cloth 6, the pneumatic cylinder 8 is used for providing constant pressure, the pneumatic cylinder 8 drives the output rod 9 to extend out, further drives the finger block 12 to apply the pressure to the yarn cloth 6, and the shearing force detector 10 is used for measuring the transverse force applied to the fixing plate 11.
The system used by the artificial intelligent detection equipment is a processing detection system, the processing detection system comprises a feeding module, an input module, a humidity detection unit, a friction detection module and a tension detection unit, the humidity detection unit is electrically connected with the friction detection module, and the tension detection unit is electrically connected with the friction detection module;
the feeding module is used for conveying the yarn cloth 6 and controlling tension between the yarn cloth 6, the input module is used for inputting parameters related to the yarn cloth 6, the humidity detection unit is used for detecting humidity inside the constant-temperature shell 1, the friction detection module is used for detecting friction force of the yarn cloth 6, and the tension detection unit is used for detecting tension on the yarn cloth 6.
The material feeding module comprises a control module and a material feeding unit, the friction detection module comprises a pressure unit and a detection unit, the control module and the material feeding unit are both electrically connected with the material feeding motor, the pressure unit is electrically connected with the pneumatic cylinder 8, and the detection unit is electrically connected with the tension detector 7;
the control module is used for controlling the tension of the yarn cloth 6, the feeding module is used for conveying the yarn cloth 6, the pressure unit is used for providing constant pressure, and the detection unit is used for detecting the friction force.
The working process of the processing detection system comprises the following steps:
s1: manually penetrating the yarn cloth 6 into the constant-temperature shell 1 through the cloth inlet 2;
s2: then putting the yarn cloth 6 between the upper feeding roller 4 and the lower feeding roller 4, enabling the yarn cloth 6 to penetrate through the tension detector 7, and enabling the yarn cloth to go out of the constant-temperature shell 1 through the cloth outlet 3;
s3: the tension detector 7 detects the tension of the yarn cloth 6;
s4: the control module controls the feeding motor to rotate according to the tension detected by the tension detector 7, and ensures that the tension of the yarn cloth 6 is a fixed value;
s5: the feeding module starts to control the feeding motor to rotate and starts to feed at a constant speed;
s6: the pneumatic cylinder 8 is started to press the five finger blocks 12 on the yarn cloth 6 and keep the pressure constant;
s7: the shear force detector 10 detects the shear force applied to the five finger blocks 12 and outputs the signals;
s8: measuring the humidity outside the constant temperature shell 1;
s9: obtaining friction coefficients of different positions of the yarn cloth 6 according to the relation between the shearing force and the time, and further obtaining a curve of the friction coefficients and the positions;
s10: obtaining the average friction coefficient of the yarn cloth 6 with a certain length according to the friction coefficient-position curve;
s11: correcting the average friction coefficient according to the humidity of the external environment and the tension of the yarn cloth 6;
s12: steps S1-S11 are repeated when one piece of cloth is measured and the next piece of cloth is measured.
The step S4 further includes the following steps:
s41: the preset tension is input according to the material of the yarn cloth, so that the abnormal friction force detection caused by the large-angle deflection of the yarn cloth due to insufficient tension when the friction force is detected is avoided;
s42: the tension detector 7 detects the tension of the yarn cloth 6, and controls the feeding motor close to the cloth outlet 3 to rotate anticlockwise if the tension is greater than the preset tension;
s43: if the tension is smaller than the preset tension, the feeding motor close to the cloth inlet 2 is controlled to rotate anticlockwise, and then the tension of the stretched yarn cloth 6 is adjusted to a fixed value.
The step S9 further includes the following steps:
s91: obtaining the relation between the friction force and the time according to the data measured by the shearing force detector 10 at different time ends;
s92: the friction force is the product of the positive pressure and the friction coefficient, and the relation between the friction coefficient and the time can be further obtained;
s93: the time is equal to the speed of displacement of the yarn cloth 6 in transport motion, and the relation between the friction coefficient and the displacement can be derived.
In the step S10, the accumulated value of the friction coefficient within a certain displacement range is obtained through calculus, and then the average friction coefficient within a certain displacement range can be obtained by dividing the accumulated value by the length of the displacement range, thereby avoiding the influence of accidental errors on the detection result.
In the step S11, the friction coefficient and the tension are in an inverse proportional relationship, and since the tension between the yarn wires 6 during the detection is different from the expected tension during the use, a certain tension must be provided during the detection in order to ensure the detection accuracy during the detection, so that the error caused by the tension needs to be eliminated.
In step S11, when the humidity of the external environment is within a certain range, the friction coefficient and the external process are also cleared of the error caused by the humidity, and the corrected friction factor value can be obtained as follows:
in the formula:
is the average of the coefficients of friction over a range of displacements,
b is a constant obtained by linear fitting,
a is a proportionality constant for the tension correction coefficient,
in order to obtain the humidity correction coefficient,
to detect the tension of the yarn cloth 6,
to the desired tension, n is the external ambient humidity,
for the desired moisture during use of the yarn cloth 6,
and
the humidity is the minimum humidity and the maximum humidity which are obtained by the relationship curve of the friction coefficient and the humidity and have exponential relationship with the friction coefficient.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a fabrics processing artificial intelligence check out test set, includes constant temperature shell (1), its characterized in that: a cloth inlet (2) is formed in the right side of the constant-temperature shell (1), a cloth outlet (3) is formed in the left side of the constant-temperature shell (1), yarn cloth (6) penetrates through the inner sides of the cloth inlet (2) and the cloth outlet (3), a feeding motor is arranged on one side of the constant-temperature shell (1), an output shaft (5) is fixedly mounted on one side of the feeding motor, a feeding roller (4) is fixedly mounted on the outer side of the output shaft (5), and the feeding roller (4) is attached to the yarn cloth (6);
the utility model discloses a tension detector, including constant temperature shell (1), yarn cloth (6), tension detector (7) run through, the inside fixed mounting of constant temperature shell (1) has pneumatic cylinder (8), the downside of pneumatic cylinder (8) is provided with output rod (9), the downside of output rod (9) is provided with shearing force detector (10), the lower extreme fixed mounting of shearing force detector (10) has fixed plate (11), the lower extreme fixed mounting of fixed plate (11) has five finger piece (12), the inner bearing of tension detector (7) is connected with two sets of gyro wheels (71), the centre sliding connection of tension detector (7) has pulley (72), the downside of pulley (72) is provided with detection pole (73), the lower extreme of detection pole (73) is provided with controller (74).
2. The textile processing artificial intelligence detection device of claim 1, wherein: the system used by the artificial intelligent detection equipment is a processing detection system, the processing detection system comprises a material feeding module, an input module, a humidity detection unit, a friction detection module and a tension detection unit, the humidity detection unit is electrically connected with the friction detection module, and the tension detection unit is electrically connected with the friction detection module;
the feeding module is used for conveying the yarn cloth (6) and controlling tension between the yarn cloth (6), the input module is used for inputting some parameters related to the yarn cloth (6), the humidity detection unit is used for detecting humidity inside the constant-temperature shell (1), the friction detection module is used for detecting friction force of the yarn cloth (6), and the tension detection unit is used for detecting tension on the yarn cloth (6).
3. The textile processing artificial intelligence detection device of claim 2, wherein: the feeding module comprises a control module and a feeding unit, the friction detection module comprises a pressure unit and a detection unit, the control module and the feeding unit are both electrically connected with a feeding motor, the pressure unit is electrically connected with a pneumatic cylinder (8), and the detection unit is electrically connected with a tension detector (7);
the control module is used for controlling the tension of the yarn cloth (6), the feeding module is used for conveying the yarn cloth (6), the pressure unit is used for providing constant pressure, and the detection unit is used for detecting the friction force.
4. The textile processing artificial intelligence detection device of claim 3, wherein: the working process of the processing detection system comprises the following steps:
s1: manually penetrating the yarn cloth (6) into the constant-temperature shell (1) through the cloth inlet (2);
s2: then putting the yarn cloth (6) between the upper feeding roller and the lower feeding roller (4), enabling the yarn cloth (6) to penetrate through the tension detector (7), and enabling the yarn cloth to go out of the constant-temperature shell (1) through the cloth outlet (3);
s3: a tension detector (7) detects the tension of the yarn cloth (6);
s4: the control module controls the feeding motor to rotate according to the tension detected by the tension detector (7) to ensure that the tension of the yarn cloth (6) is a fixed value;
s5: the feeding module starts to control the feeding motor to rotate and starts to feed at a constant speed;
s6: the pneumatic cylinder (8) is started to press the five finger blocks (12) on the yarn cloth (6) and keep the pressure constant;
s7: the shear force detector (10) detects the shear force applied to the five finger blocks (12) and outputs the signals;
s8: measuring the humidity outside the constant temperature shell (1);
s9: obtaining friction coefficients of different positions of the yarn cloth (6) according to the relation between the shearing force and the time, and further obtaining a curve of the friction coefficients and the positions;
s10: obtaining the average friction coefficient of the yarn cloth (6) with a certain length according to the friction coefficient-position curve;
s11: correcting the average friction coefficient according to the humidity of the external environment and the tension of the yarn cloth (6);
s12: steps S1-S11 are repeated when one piece of cloth is measured and the next piece of cloth is measured.
5. The textile processing artificial intelligence detection device of claim 4, wherein: the step S4 further includes the following steps:
s41: the preset tension is input according to the material of the yarn cloth, so that the abnormal friction force detection caused by the large-angle deflection of the yarn cloth due to insufficient tension when the friction force is detected is avoided;
s42: the tension detector (7) detects the tension of the yarn cloth (6), and if the tension is greater than the preset tension, the feeding motor close to the cloth outlet (3) is controlled to rotate anticlockwise;
s43: if the tension is smaller than the preset tension, the feeding motor close to the cloth inlet (2) is controlled to rotate anticlockwise, and then the tension of the stretched yarn cloth (6) is adjusted to a fixed value.
6. The textile processing artificial intelligence detection device of claim 5, wherein: the step S9 further includes the following steps:
s91: obtaining the relation between the friction force and the time according to the data measured by the shearing force detector (10) at different time ends;
s92: the friction force is the product of the positive pressure and the friction coefficient, and the relation between the friction coefficient and the time can be further obtained;
s93: the time is equal to the speed of displacement of the yarn cloth (6) in transport motion, and the relation between the friction coefficient and the displacement can be deduced.
7. The textile processing artificial intelligence detection device of claim 6, wherein: in the step S10, the accumulated value of the friction coefficient within a certain displacement range is obtained through calculus, and then the average friction coefficient within a certain displacement range can be obtained by dividing the accumulated value by the length of the displacement range, thereby avoiding the influence of accidental errors on the detection result.
8. The textile processing artificial intelligence detection device of claim 7, wherein: in the step S11, the friction coefficient and the tension are in an inverse proportional relationship, and since the tension between the yarn cloth (6) during the detection is different from the expected tension during the use, a certain tension is required to be provided during the detection in order to ensure the detection accuracy during the detection, so that the error caused by the tension needs to be eliminated;
when the humidity of external environment is in a certain range, the friction coefficient and the external process also need to clear away the error brought by the humidity, and then the value of the friction factor after correction can be obtained as follows:
in the formula:
is the average of the coefficients of friction over a range of displacements,
b is a constant obtained by linear fitting,
a is a proportionality constant for the tension correction coefficient,
in order to obtain the humidity correction coefficient,
in order to detect the tension of the yarn cloth (6),
to the desired tension, n is the external ambient humidity,
for the desired moisture of the yarn cloth (6) during use,
and
the humidity is the minimum humidity and the maximum humidity which are obtained by the relationship curve of the friction coefficient and the humidity and have exponential relationship with the friction coefficient.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114134699A (en) * | 2021-11-25 | 2022-03-04 | 霍柱斌 | Cloth breakage is checked and is accepted and is used transmission device based on infrared detection |
| CN114527063A (en) * | 2022-02-14 | 2022-05-24 | 江苏欣鑫纺织科技有限公司 | Fabric desizing control system for intelligent spinning |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1558202A (en) * | 2004-01-18 | 2004-12-29 | 东华大学 | Pressure testing method and device in circumstances of single sided low tension compression of fabric |
| CN2831087Y (en) * | 2005-07-04 | 2006-10-25 | 广东溢达纺织有限公司 | Warp spinning load simulation and wearability detector |
| CN101556238A (en) * | 2009-05-11 | 2009-10-14 | 中国船舶重工集团公司第七二五研究所 | Device and method for testing linear reciprocating sliding friction and abrasion |
| CN208607135U (en) * | 2018-08-10 | 2019-03-15 | 江苏恒神股份有限公司 | A kind of carbon fiber friction coefficient testing device |
| CN211347882U (en) * | 2019-11-27 | 2020-08-25 | 上海海关工业品与原材料检测技术中心 | Fabric friction coefficient detection device |
| CN213121479U (en) * | 2019-12-12 | 2021-05-04 | 中复神鹰碳纤维股份有限公司 | Carbon fiber wearability evaluation device |
| CN214277703U (en) * | 2020-12-31 | 2021-09-24 | 于都福迪服装有限公司 | Tension detection device is used in sweater production |
-
2021
- 2021-09-28 CN CN202111140095.3A patent/CN113588545B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1558202A (en) * | 2004-01-18 | 2004-12-29 | 东华大学 | Pressure testing method and device in circumstances of single sided low tension compression of fabric |
| CN2831087Y (en) * | 2005-07-04 | 2006-10-25 | 广东溢达纺织有限公司 | Warp spinning load simulation and wearability detector |
| CN101556238A (en) * | 2009-05-11 | 2009-10-14 | 中国船舶重工集团公司第七二五研究所 | Device and method for testing linear reciprocating sliding friction and abrasion |
| CN208607135U (en) * | 2018-08-10 | 2019-03-15 | 江苏恒神股份有限公司 | A kind of carbon fiber friction coefficient testing device |
| CN211347882U (en) * | 2019-11-27 | 2020-08-25 | 上海海关工业品与原材料检测技术中心 | Fabric friction coefficient detection device |
| CN213121479U (en) * | 2019-12-12 | 2021-05-04 | 中复神鹰碳纤维股份有限公司 | Carbon fiber wearability evaluation device |
| CN214277703U (en) * | 2020-12-31 | 2021-09-24 | 于都福迪服装有限公司 | Tension detection device is used in sweater production |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114134699A (en) * | 2021-11-25 | 2022-03-04 | 霍柱斌 | Cloth breakage is checked and is accepted and is used transmission device based on infrared detection |
| CN114527063A (en) * | 2022-02-14 | 2022-05-24 | 江苏欣鑫纺织科技有限公司 | Fabric desizing control system for intelligent spinning |
| CN114527063B (en) * | 2022-02-14 | 2023-10-24 | 江苏欣鑫纺织科技有限公司 | Fabric desizing control system for intelligent spinning |
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