CN107521108A - A kind of intelligent diagnosing method of the 3D printer system failure - Google Patents
A kind of intelligent diagnosing method of the 3D printer system failure Download PDFInfo
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- CN107521108A CN107521108A CN201710497843.0A CN201710497843A CN107521108A CN 107521108 A CN107521108 A CN 107521108A CN 201710497843 A CN201710497843 A CN 201710497843A CN 107521108 A CN107521108 A CN 107521108A
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- shower nozzle
- feedback action
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
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Abstract
The present invention relates to a kind of intelligent diagnosing method of the 3D printer system failure.System under the intelligent diagnosing method includes kinematic system, nozzle system, cooling system, illuminator and circuit breaking protective system.The diagnosis of the kinematic system includes X-axis, Y-axis, the diagnosis of Z axis limit switch and X-axis, the diagnosis of Y-axis, Z axis motor；The diagnosis of the nozzle system includes the diagnosis, the diagnosis of shower nozzle heater wire and the diagnosis of shower nozzle of shower nozzle thermometric line；The diagnosis of the cooling system includes the diagnosis of the left fan of shower nozzle and the diagnosis of the right fan of shower nozzle；The illuminator is diagnosed as the diagnosis of 3D printer lamp bar color；The circuit breaking protective system is the diagnosis of power-off protection function.The intelligent diagnosing method of the 3D printer system failure can help user quickly to solve problem when printer breaks down, and facilitate user preferably to use printer, improve efficiency；Also maintained machinery simultaneously for maintenance personal and provide reference.
Description
Technical field
The present invention relates to a kind of technical field of 3D printer, and in particular to a kind of intelligence of the 3D printer system failure is examined
Disconnected method.
Background technology
Fusion sediment rapid shaping technique（FDM）It is one of main 3D printing technique.FDM technology, also known as hot melt accumulation
Technology, the technology are will to be extruded after hot melt moulding mixture silk heating and melting from shower nozzle, it is solid to be deposited on print job platform or preceding layer
On the material of change, start curing molding after temperature is less than material silk solidification temperature, be finally printed as entity.User is beaten using 3D
During print machine, machine can be caused due to each side reason machine can not normal use, general user can not solve mechanical disorder, especially
When printing some urgent parts, machine, which produces failure, will reduce usage experience sense and the operating efficiency of user；Later period maintenance people
Member is also required to expend where many time energy trouble-shootings, thus maintenance personal's efficiency is low；Gone back on the market at present through searching
There is no a 3D printer to carry out diagnosis in all directions to faults itself.
Therefore a kind of scheme is needed to solve the above problems.
The content of the invention
To solve the above problems, the invention discloses a kind of intelligent diagnosing method of the 3D printer system failure, user makes
It can voluntarily judge solve the problems, such as, while also carried for maintenance personal when machine breaks down with the 3D printer under this method
For breakdown judge foundation, operating efficiency is improved.
The technical scheme of the invention is：A kind of intelligent diagnosing method of the 3D printer system failure, it is characterised in that：The intelligence
System under energy diagnostic method includes kinematic system, nozzle system, cooling system, illuminator and circuit breaking protective system.
The kinematic system include X-axis limit switch, Y-axis limit switch, Z axis limit switch and X-axis motor, y-axis motor,
Z axis motor, the kinematic system intelligent diagnosing method include：
1）User presses the X-axis limit switch 5s, observes whether the X-axis limit switch warning light lights, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F1；
2）User presses the Y-axis limit switch 5s, observes whether the Y-axis limit switch warning light lights, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F2；
3) user presses the Z axis limit switch 5s, observes whether the Z axis limit switch warning light lights, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F3；
4）PC control X-axis motor is moved to the left 1cm, and user observes whether X-axis motor is moved to the left 1cm, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F4；
5）PC control X-axis motor moves right 1cm, and whether user observes X-axis motor and move right 1cm, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F5；
6）PC control y-axis motor moves forward 1cm, and user observes whether y-axis motor moves forward 1cm, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F6；
7）PC control y-axis motor is moved rearwards 1cm, and user observes whether y-axis motor is moved rearwards 1cm, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F7；
8）PC control Z axis motor moves up 1cm, and user observes whether Z axis motor moves up 1cm, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F8；
9）PC control Z axis motor moves down 1cm, and user observes whether Z axis motor moves down 1cm, on touch screen
Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F9.
The nozzle system includes shower nozzle thermometric line, shower nozzle heater wire and shower nozzle, the nozzle system intelligent diagnosing method
Including：
1）Touch screen shows shower nozzle initial temperature T0, and host computer records the shower nozzle initial temperature T0；
2）Shower nozzle described in PC control is heated to fixed temperature in the set time and records shower nozzle heat time t1 and add
The nozzle temperature T2 after heat；
3）Shower nozzle wire vent described in PC control, user observe the whether normal wire vent of shower nozzle, in the confirmation frame on touch screen
Click on and confirm "Yes" or "No", host computer record user feedback action F10.
The cooling system includes the left fan of shower nozzle and the right fan of shower nozzle, and the cooling system intelligent diagnosing method includes：
1）The left fan of shower nozzle described in PC control opens 10s, and whether user's observation left fan of shower nozzle is normally-open, is touching
Clicked in confirmation frame on screen and confirm "Yes" or "No", host computer record user feedback action F11；
2）The right fan of shower nozzle described in PC control opens 10s, and whether user's observation right fan of shower nozzle is normally-open, is touching
Clicked in confirmation frame on screen and confirm "Yes" or "No", host computer record user feedback action F12.
The illuminator is lamp bar built in 3D printer, and the illuminator intelligent diagnosing method is：PC control
The lamp bar color circulates saltus step successively, and whether user's observation saltus step color is corresponding with touch screen display color, on touch screen really
Recognize in frame to click on and confirm "Yes" or "No", host computer record user feedback action F13.
The circuit breaking protective system be 3D printer power-off protection function, the circuit breaking protective system intelligent diagnosing method
For：User is according to the prompting on touch screen, and power-off is upper electric again manually, host computer self-test machine and recorder information I.
Host computer is according to the feedback action F1, the feedback action F2, the feedback action F3, the feedback action
F4, the feedback action F5, the feedback action F6, the feedback action F7, the feedback action F8, the feedback action F9
Judge the failure of the kinematic system；According to the numerical value of the initial temperature T0, the numerical value of shower nozzle heat time t1, heating
The numerical value of the nozzle temperature T2, the feedback action F10 judge the failure of the nozzle system afterwards；According to the feedback action
The F11 and feedback action F12 judges the failure of the cooling system；Host computer is according to judging the feedback action F13
The failure of illuminator；Host computer judges the failure of the circuit breaking protective system according to the machine information I；Touch screen will be in whole
The code and processing method of the failure are shown after the system diagnostics.
Brief description of the drawings
Fig. 1 is a kind of intelligent diagnosing method system diagram of the 3D printer system failure of the present invention.
In figure：A- failure systems, B- kinematic systems, C- nozzle systems, D- cooling systems, E- illuminators, F- power-off are protected
Protecting system, b1-X, Y, Z axis limit switch, b2-X, Y, Z axis motor, c1- shower nozzle thermometric lines, c2- shower nozzle heater wires, c3- shower nozzles,
The left fan of d1- shower nozzles, the right fan of d2- shower nozzles, e1- light colors, the power-off of f1- machines.
Embodiment
In order to it is to be expressly understood that the technology contents of the present invention, illustrate especially exemplified by following instance.
As shown in fig.1, the invention discloses a kind of intelligent diagnosing method of the 3D printer system failure intelligent diagnostics
System under method includes kinematic system B, nozzle system C, cooling system D, illuminator E and circuit breaking protective system F.Kinetic system
System B diagnosis includes X-axis, Y-axis, Z axis limit switch b1 diagnosis and X-axis, the diagnosis of Y-axis, Z axis motor b2；Nozzle system C's
Diagnosis includes shower nozzle thermometric line c1 diagnosis, shower nozzle heater wire c2 diagnosis and shower nozzle c3 diagnosis；Cooling system D diagnosis bag
Include the left fan d1 of shower nozzle diagnosis and the right fan d2 of shower nozzle diagnosis；Illuminator E's is diagnosed as 3D printer lamp bar color e1
Diagnosis；Circuit breaking protective system F is the diagnosis that machine powers off f1.
It is the diagnostic process step of the 3D printer under this method below：
S1：Touch screen shows failure system A interfaces, and user clicks on kinematic system, into kinematic system B Diagnostics Interfaces；
S2：Prompted according to touch screen, user presses X-axis limit switch b1 5s, and whether observation X-axis limit switch b1 warning lights light；
S3：Touch screen interface jumps out confirmation frame, and user, which clicks on, confirms "Yes" or "No", host computer operation of recording F1；
S4：Prompted according to touch screen, user presses Y-axis limit switch b1 5s, and whether observation Y-axis limit switch b1 warning lights light；
S5：Confirmation frame is jumped out according to interface, user, which clicks on, confirms "Yes" or "No", host computer operation of recording F2；
S6：According to screen prompt, user presses Z axis limit switch b1 5s, and whether observation Z axis limit switch b1 warning lights light；
S7：Confirmation frame is jumped out according to interface, user, which clicks on, confirms "Yes" or "No", host computer operation of recording F3；
S8：Whether observation X-axis motor b2 is moved to the left 1cm, and "Yes" or "No", host computer operation of recording F4 are confirmed on touch screen；
S9：Whether observation X-axis motor b2 is moved right 1cm, and "Yes" or "No", host computer operation of recording F5 are confirmed on touch screen；
S10：Whether observation y-axis motor b2 moves forward 1cm, and "Yes" or "No", host computer operation of recording F6 are confirmed on touch screen；
S11：Whether observation y-axis motor b2 is moved rearwards 1cm, and "Yes" or "No", host computer operation of recording F7 are confirmed on touch screen；
S12：Whether observation Z axis motor b2 moves up 1cm, and "Yes" or "No", host computer operation of recording F8 are confirmed on touch screen；
S13：Whether observation Z axis motor b2 moves down 1cm, and "Yes" or "No", host computer operation of recording F9 are confirmed on touch screen；
S14：Touch screen shows failure system A interfaces, and user clicks on nozzle system C, into nozzle system C Diagnostics Interfaces；
S15：Touch screen interface shows real-time nozzle temperature T0, host computer record temperature T0, for whether judging shower nozzle thermometric line c1
Normally；
S16：PC control shower nozzle c3 is heated to fixed temperature, host computer record heat time t1 and temperature in the set time
T2, for judging whether shower nozzle heater wire c2 is normal；
S17：PC control shower nozzle c3 enters silk, and user observes the whether normal wire vents of shower nozzle c3, confirm on touch screen "Yes" or
"No", host computer operation of recording F10；
S18：Touch screen shows failure system A interfaces, and user clicks on cooling system D, into cooling system D Diagnostics Interfaces；
S19：The left fan d1 of PC control shower nozzle opens 10s, and whether the left fan d1 of user's observation shower nozzle is normally-open, in touch screen
Upper confirmation "Yes" or "No", host computer operation of recording F11；
S20：The right fan d2 of PC control shower nozzle opens 10s, and whether the right fan d2 of user's observation shower nozzle is normally-open, in touch screen
Upper confirmation "Yes" or "No", host computer operation of recording F12；
S21：Touch screen shows failure system A interfaces, and user clicks on illuminator E, into illuminator E Diagnostics Interfaces；
S22：PC control lamp bar color e1, whether user's observation lamp bar color e1 is corresponding with touch screen display color, in touch screen
Upper confirmation "Yes" or "No", host computer operation of recording F13；
S23：Touch screen shows failure system A interfaces, and user clicks on circuit breaking protective system F, and boundary is diagnosed into circuit breaking protective system F
Face；
S24：User is according to the prompting on touch screen, and power-off is upper electric again manually, host computer self-test machine and recorder information I；
S25：System diagnostics terminates, and touch screen shows failure code and processing method.
Touch screen shows code and processing method content：
1）F1：X-axis limit switch is bad；Processing scheme：Change X-axis limit switch；
2）F2：Y-axis limit switch is bad；Processing scheme：Change Y-axis limit switch；
3）F3：Z axis limit switch is bad；Processing scheme：Change Z axis limit switch；
4）F4、F5：X-axis motor is bad；Processing scheme：Change X-axis electric machine assembly；
5）F6、F7：Y-axis motor is bad；Processing scheme：Change y-axis motor component；
6）F8、F9：Z axis motor is bad；Processing scheme：Change Z axis electric machine assembly；
7）T0：Shower nozzle thermometric line is bad；Processing scheme：Check the wiring whether successful with mainboard of shower nozzle thermometric line or change shower nozzle thermometric
Line；
8）t1、T2：Shower nozzle heater wire is bad；Processing scheme：Check the wiring whether successful with mainboard of shower nozzle heater wire or change shower nozzle
Heater wire；
9）F10：Diagnostic result：Shower nozzle is bad；Processing scheme：Dredge shower nozzle, check whether shower nozzle sprays with mainboard success wiring, replacing
Head；
10）F11：The left fan of shower nozzle is bad；Processing scheme：Change the left fan of shower nozzle or exchange nozzle right fan wiring；
11）F12：The right fan of shower nozzle is bad；Processing scheme：Change the right fan of shower nozzle or exchange nozzle right fan wiring；
12）F13：Lamp bar is bad；Processing scheme：Change lamp bar；
13）I：Power-off protection function fails；Processing scheme：Check whether power-off protection function is opened.
Claims (12)
- A kind of 1. intelligent diagnosing method of the 3D printer system failure, it is characterised in that：System bag under the intelligent diagnosing method Include kinematic system, nozzle system, cooling system, illuminator and circuit breaking protective system.
- 2. a kind of intelligent diagnosing method of 3D printer system failure according to claim 1, the kinematic system include X Axle limit switch, Y-axis limit switch, Z axis limit switch and X-axis motor, y-axis motor, Z axis motor, it is characterised in that：The intelligence Energy diagnostic method includes：1）User presses the X-axis limit switch 5s, observes whether the X-axis limit switch warning light lights, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F1；2）User presses the Y-axis limit switch 5s, observes whether the Y-axis limit switch warning light lights, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F2；3) user presses the Z axis limit switch 5s, observes whether the Z axis limit switch warning light lights, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F3；4）PC control X-axis motor is moved to the left 1cm, and user observes whether X-axis motor is moved to the left 1cm, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F4；5）PC control X-axis motor moves right 1cm, and whether user observes X-axis motor and move right 1cm, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F5；6）PC control y-axis motor moves forward 1cm, and user observes whether y-axis motor moves forward 1cm, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F6；7）PC control y-axis motor is moved rearwards 1cm, and user observes whether y-axis motor is moved rearwards 1cm, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F7；8）PC control Z axis motor moves up 1cm, and user observes whether Z axis motor moves up 1cm, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F8；9）PC control Z axis motor moves down 1cm, and user observes whether Z axis motor moves down 1cm, on touch screen Confirm to click in frame and confirm "Yes" or "No", host computer record user feedback action F9.
- 3. a kind of intelligent diagnosing method of 3D printer system failure according to claim 1, the nozzle system include Shower nozzle thermometric line, shower nozzle heater wire and shower nozzle, it is characterised in that：The diagnostic method also includes：1）Touch screen shows shower nozzle initial temperature T0, and host computer records the shower nozzle initial temperature T0；2）Shower nozzle described in PC control is heated to fixed temperature in the set time and records shower nozzle heat time t1 and add The nozzle temperature T2 after heat；3）Shower nozzle wire vent described in PC control, user observe the whether normal wire vent of shower nozzle, in the confirmation frame on touch screen Click on and confirm "Yes" or "No", host computer record user feedback action F10.
- 4. a kind of intelligent diagnosing method of 3D printer system failure according to claim 1, the cooling system include The left fan of shower nozzle and the right fan of shower nozzle, it is characterised in that：The diagnostic method also includes：1）The left fan of shower nozzle described in PC control opens 10s, and whether user's observation left fan of shower nozzle is normally-open, is touching Clicked in confirmation frame on screen and confirm "Yes" or "No", host computer record user feedback action F11；2）The right fan of shower nozzle described in PC control opens 10s, and whether user's observation right fan of shower nozzle is normally-open, is touching Clicked in confirmation frame on screen and confirm "Yes" or "No", host computer record user feedback action F12.
- 5. a kind of intelligent diagnosing method of 3D printer system failure according to claim 1, the illuminator is 3D Lamp bar built in printer, it is characterised in that：The diagnostic method is：Lamp bar color circulates saltus step successively described in PC control, Whether user's observation saltus step color is corresponding with touch screen display color, is clicked in the confirmation frame on touch screen and confirms "Yes" or "No", Host computer record user feedback action F13.
- 6. a kind of intelligent diagnosing method of 3D printer system failure according to claim 1, the circuit breaking protective system For the power-off protection function of 3D printer, it is characterised in that：The diagnostic method is：User is according to the prompting on touch screen, manually Power-off is upper electric again, host computer self-test machine and recorder information I.
- A kind of 7. intelligent diagnosing method of 3D printer system failure according to claim 2, it is characterised in that：Host computer According to the feedback action F1, the feedback action F2, the feedback action F3, the feedback action F4, the feedback action F5, the feedback action F6, the feedback action F7, the feedback action F8, the feedback action F9 judge the kinetic system The failure of system.
- A kind of 8. intelligent diagnosing method of 3D printer system failure according to claim 3, it is characterised in that：Host computer According to the numerical value of the initial temperature T0, the numerical value of shower nozzle heat time t1, heating after the nozzle temperature T2 numerical value, The feedback action F10 judges the failure of the nozzle system.
- A kind of 9. intelligent diagnosing method of 3D printer system failure according to claim 4, it is characterised in that：Host computer The failure of the cooling system is judged according to the feedback action F11 and the feedback action F12.
- A kind of 10. intelligent diagnosing method of 3D printer system failure according to claim 5, it is characterised in that：It is upper Machine judges the failure of the illuminator according to the feedback action F13.
- A kind of 11. intelligent diagnosing method of 3D printer system failure according to claim 6, it is characterised in that：It is upper Machine judges the failure of the circuit breaking protective system according to the machine information I.
- 12. a kind of intelligent diagnosing method of 3D printer system failure according to any one of claim 7 to 11, its feature It is：The code and processing method of the failure after touch screen display diagnosis.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114778158A (en) * | 2022-04-13 | 2022-07-22 | 青岛博瑞科三维制造有限公司 | Self-checking system and method of 3D printing device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140034214A1 (en) * | 2012-07-31 | 2014-02-06 | Makerbot Industries, Llc | Build material switching |
| CN105619818A (en) * | 2015-12-31 | 2016-06-01 | 浙江大学 | Fused deposition modeling 3D printing monitoring system based on acoustic emission |
| CN106313514A (en) * | 2016-09-23 | 2017-01-11 | 珠海天威飞马打印耗材有限公司 | 3D printer and work method thereof |
-
2017
- 2017-06-27 CN CN201710497843.0A patent/CN107521108B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140034214A1 (en) * | 2012-07-31 | 2014-02-06 | Makerbot Industries, Llc | Build material switching |
| CN105619818A (en) * | 2015-12-31 | 2016-06-01 | 浙江大学 | Fused deposition modeling 3D printing monitoring system based on acoustic emission |
| CN106313514A (en) * | 2016-09-23 | 2017-01-11 | 珠海天威飞马打印耗材有限公司 | 3D printer and work method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 王兵: "《双色图解数控车工一本通》", 31 October 2015, 机械工业出版社 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114778158A (en) * | 2022-04-13 | 2022-07-22 | 青岛博瑞科三维制造有限公司 | Self-checking system and method of 3D printing device |
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