CN104634874A - Large forged back-up roll body working layer defect detecting method - Google Patents
Large forged back-up roll body working layer defect detecting method Download PDFInfo
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- CN104634874A CN104634874A CN201510062690.8A CN201510062690A CN104634874A CN 104634874 A CN104634874 A CN 104634874A CN 201510062690 A CN201510062690 A CN 201510062690A CN 104634874 A CN104634874 A CN 104634874A
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Abstract
The invention discloses a large forged back-up roll body working layer defect detecting method. The method comprises the following steps: firstly, carrying out surface wave detection on the surface of a large forged back-up roll body and determining a defect area of the surface of the roll body; and secondly, detecting the specific location and the size of the defect of the defect area of the working layer of the roll body by a normal probe, that is, adopting a double-crystal normal probe with the sensitivity of pi1mm to detect the defect in a 50mm range of the working layer of the roll body, and adopting a single crystal straight probe with the sensitivity of pi1mm to detect the defect beyond a 50mm range of the working layer of the roll body. The method can be used for detecting the defect below pi1mm timely in a large forged back-up roll processing procedure, and can provide powerful guarantee for the follow-up processing of the large forged back-up roll and the property of finished products.
Description
Technical field
The invention belongs to technical field of nondestructive testing, be specifically related to a kind of large forged back-up roll body of roll working lining defect inspection method.
Background technology
People's Republic of China (PRC) machinery industry standard JB/T 4120-2006 " large-sized forging alloy steel backing roll " 4.4.2 saves regulation: for solid forged backup roll, and the top layer (be yet body of roll working lining) dark from body surface 100mm does not allow the defect being greater than equivalent diameter φ 2mm.
At present, the manufacturing process of large forged back-up roll roller stock is that electric furnace just refines (DC)+ladle refining (LF)+application of vacuum (VD)+vacuum pouring (VC), although above-mentioned technique have employed advanced two vacuum techniques (application of vacuum+vacuum pouring), but still cannot stop the defect in body of roll working lining completely.
Defect in body of roll working lining, according to Crack cause, is divided into interior life to be mingled with class defect and foreing impuritys class defect usually, and the former mainly produces when the secondary oxidation of refinement and deoxidation and casting process, and latter is mainly brought in roller stock when pouring into a mould.
Above-mentioned foreing impuritys class defect is substantially all at below 1mm, in the majority with 0.3 ~ 0.5mm, because large forged back-up roll body of roll working lining is darker, usually can reach about 100mm, so little defect is difficult to detect in process, only has in finished product backing roll use procedure by the time the Shi Caihui that encounters problems to know, but this defect cannot lean on grinding to eliminate usually, therefore, can only scrap, thus bring larger economic loss to roll manufacturing firm.
Summary of the invention
The object of the invention is to solve the problem, provide a kind of large forged back-up roll body of roll working lining defect inspection method, the method can detect the foreing impuritys class defect of equivalent at below 1mm in large-sized forging backing roll process.
The technical scheme realizing the object of the invention is: a kind of large forged back-up roll body of roll working lining defect inspection method, comprising: 1. carry out rayleigh waves inspection to large forged back-up roll body surface, determine the region of body surface existing defects; 2. normal probe is adopted to detect particular location and the size of body of roll working lining defect to the region of above-mentioned existing defects.
Above-mentioned steps 2. in, adopt double-crystal normal probe with the defect within the scope of the sensitivity technique body of roll working lining 50mm of φ 1mm, adopt straight probe of single crystal with the extraneous defect of sensitivity technique body of roll working lining 50mm of φ 1mm.
The frequency of described double-crystal normal probe is 4MHz, and diameter is Φ 24mm, and focal length is 12mm.
The frequency of described straight probe of single crystal is 5MHz, and diameter is Φ 10mm.
The good effect that the present invention has: the present invention adopts surface wave to detect large forged back-up roll body of roll working lining defect in conjunction with twin crystal/straight probe of single crystal, especially within the scope of body of roll working lining 50mm, double-crystal normal probe is adopted to detect with the sensitivity of φ 1mm, just the defect of equivalent at below 1mm can be detected in time like this, for the performance of large forged back-up roll following process and final finished provides sound assurance in large forged back-up roll process.
Embodiment
(embodiment 1)
The large forged back-up roll specification of the present embodiment is φ 1200mm × 3790mm, detect its rough turn time body of roll working lining defect, specific as follows:
1. first grinding is carried out to above-mentioned large forged back-up roll body surface time rough turn, guarantee that its body surface roughness is less than Ra0.8.
Then surface wave is adopted to carry out scanning at body surface.
Found that: at the body of roll (steel seal end) apart from the region memory of chamfering long 300mm, wide 230mm in intensive punctual openings defect.
2. in this region, adopt double-crystal normal probe to detect within the scope of body of roll working lining 50mm with the sensitivity of φ 1mm, adopt straight probe of single crystal to detect outside body of roll working lining 50mm scope with the sensitivity of φ 1mm simultaneously.
Found that: in the body of roll, dark 5mm place and 20mm place find that there is defect waves display, and Defect Equivalent size is about 0.8mm and 0.4mm respectively.
The double-crystal normal probe model that the present embodiment adopts is SEB4, focal length 12mm, probe diameter φ 24mm, frequency 4MHz.
The straight probe of single crystal model that the present embodiment adopts is 5P10Z.
(comparative example 1)
This comparative example is substantially the same manner as Example 1, and difference is:
Step 2. in, adopt double-crystal normal probe detect within the scope of body of roll working lining 50mm with the sensitivity of φ 2mm, result find no defect waves display.
(comparative example 2)
This comparative example is substantially the same manner as Example 1, and difference is:
Step 2. in, adopt straight probe of single crystal detect within the scope of body of roll working lining 50mm with the sensitivity of φ 1mm, result find no defect waves display.
(embodiment 2)
The large forged back-up roll specification of the present embodiment is φ 1000mm × 3590mm, detects its rough turn rear body of roll working lining defect.
Wherein, step surface wave scanning 1. found that: at the body of roll one chamfer to 1/3 barrel length region memory in intensive punctual openings defect.
2. step adopts double-crystal normal probe to detect within the scope of body of roll working lining 50mm with the sensitivity of φ 1mm, adopts straight probe of single crystal to detect outside body of roll working lining 50mm scope with the sensitivity of φ 1mm simultaneously.
Found that: under body surface, dark 33mm place finds that there is defect waves display, and Defect Equivalent size is about 0.6mm.
(embodiment 3)
The large forged back-up roll specification of the present embodiment is φ 890mm × 2690mm, detect its rough turn time body of roll working lining defect.
Wherein, step surface wave scanning 1. found that: at whole roll barrel region memory in intensive punctual openings defect.
2. step detects with the sensitivity of φ 1mm with double-crystal normal probe within the scope of body of roll working lining 50mm, adopts straight probe of single crystal to detect outside body of roll working lining 50mm scope with the sensitivity of φ 1mm simultaneously.
Found that: in the body of roll, dark 28mm place finds that there is defect waves display, and Defect Equivalent size is about 0.5mm.
Claims (4)
1. a large forged back-up roll body of roll working lining defect inspection method, is characterized in that comprising:
1. rayleigh waves inspection is carried out to large forged back-up roll body surface, determine the region of body surface existing defects;
2. normal probe is adopted to detect particular location and the size of body of roll working lining defect to the region of above-mentioned existing defects.
2. large forged back-up roll defect detection on ultrasonic basis according to claim 1, it is characterized in that: step 2. in, adopt double-crystal normal probe with the defect within the scope of the sensitivity technique body of roll working lining 50mm of φ 1mm, adopt straight probe of single crystal with the extraneous defect of sensitivity technique body of roll working lining 50mm of φ 1mm.
3. large forged back-up roll defect detection on ultrasonic basis according to claim 2, is characterized in that: the frequency of described double-crystal normal probe is 4MHz, and diameter is Φ 24mm, and focal length is 12mm.
4. large forged back-up roll defect detection on ultrasonic basis according to claim 2, is characterized in that: the frequency of described straight probe of single crystal is 5MHz, and diameter is Φ 10mm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510062690.8A CN104634874B (en) | 2015-02-06 | 2015-02-06 | Large forged back -up roll body of roll working lining defect inspection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201510062690.8A CN104634874B (en) | 2015-02-06 | 2015-02-06 | Large forged back -up roll body of roll working lining defect inspection method |
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| CN104634874A true CN104634874A (en) | 2015-05-20 |
| CN104634874B CN104634874B (en) | 2018-08-24 |
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| US20020121141A1 (en) * | 2000-12-25 | 2002-09-05 | Nsk Ltd. | Rolling bearing, and method of ultrasonically detecting flaws in bearing raceway ring of rolling bearing |
| JP3564683B2 (en) * | 2000-08-31 | 2004-09-15 | 川崎重工業株式会社 | Weld monitoring method |
| CN101183088A (en) * | 2007-12-18 | 2008-05-21 | 宝钢集团常州轧辊制造公司 | Fault detection method of roller body chamfering |
| CN101231298A (en) * | 2007-01-23 | 2008-07-30 | 宝钢集团常州轧辊制造公司 | Method for detection fault detection in roller surface |
| CN101368931A (en) * | 2008-09-28 | 2009-02-18 | 舞阳钢铁有限责任公司 | On-service supersonic inspection method of heavy and medium plate mill roller |
| JP4359892B2 (en) * | 2004-12-24 | 2009-11-11 | 住友金属工業株式会社 | Ultrasonic flaw detection method |
| CN103316831A (en) * | 2013-05-27 | 2013-09-25 | 哈尔滨工业大学 | Ultrasonic generator based on linear frequency modulation technology and method for detecting metal welding seam defects by adopting same |
| CN104049033A (en) * | 2014-06-27 | 2014-09-17 | 中航虹波风电设备有限公司 | Nonlinear ultrasonic lossless detection method for welded joint defects of wind tower |
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2015
- 2015-02-06 CN CN201510062690.8A patent/CN104634874B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4160387A (en) * | 1976-12-28 | 1979-07-10 | Sumitomo Electric Industries, Ltd. | Method and apparatus for detecting internal cavities in casting bars |
| JP3564683B2 (en) * | 2000-08-31 | 2004-09-15 | 川崎重工業株式会社 | Weld monitoring method |
| US20020121141A1 (en) * | 2000-12-25 | 2002-09-05 | Nsk Ltd. | Rolling bearing, and method of ultrasonically detecting flaws in bearing raceway ring of rolling bearing |
| JP4359892B2 (en) * | 2004-12-24 | 2009-11-11 | 住友金属工業株式会社 | Ultrasonic flaw detection method |
| CN101231298A (en) * | 2007-01-23 | 2008-07-30 | 宝钢集团常州轧辊制造公司 | Method for detection fault detection in roller surface |
| CN101183088A (en) * | 2007-12-18 | 2008-05-21 | 宝钢集团常州轧辊制造公司 | Fault detection method of roller body chamfering |
| CN101368931A (en) * | 2008-09-28 | 2009-02-18 | 舞阳钢铁有限责任公司 | On-service supersonic inspection method of heavy and medium plate mill roller |
| CN103316831A (en) * | 2013-05-27 | 2013-09-25 | 哈尔滨工业大学 | Ultrasonic generator based on linear frequency modulation technology and method for detecting metal welding seam defects by adopting same |
| CN104049033A (en) * | 2014-06-27 | 2014-09-17 | 中航虹波风电设备有限公司 | Nonlinear ultrasonic lossless detection method for welded joint defects of wind tower |
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| CN104634874B (en) | 2018-08-24 |
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