CN104634874B - Large forged back -up roll body of roll working lining defect inspection method - Google Patents

Large forged back -up roll body of roll working lining defect inspection method Download PDF

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Publication number
CN104634874B
CN104634874B CN201510062690.8A CN201510062690A CN104634874B CN 104634874 B CN104634874 B CN 104634874B CN 201510062690 A CN201510062690 A CN 201510062690A CN 104634874 B CN104634874 B CN 104634874B
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Prior art keywords
roll
working lining
large forged
defect
forged back
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CN104634874A (en
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林春
孙菲菲
章志坚
张大伟
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BAOGANG ROLLER TECHNOLOGY Co Ltd
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BAOGANG ROLLER TECHNOLOGY Co Ltd
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Abstract

The invention discloses a kind of large forged back -up roll body of roll working lining defect inspection methods, including:1. carrying out rayleigh waves inspection to large forged back -up roll body surface, the region of body surface existing defects is determined;2. using the specific location and size of normal probe detection body of roll working lining defect to the region of above-mentioned existing defects;That is, using double-crystal normal probe with the defects of sensitivity technique body of roll working lining 50mm ranges of φ 1mm, use straight probe of single crystal with the defect outside the sensitivity technique body of roll working lining 50mm ranges of φ 1mm.The present invention can in time detect equivalent in φ 1mm defects below in large forged back -up roll process, and the performance for large forged back -up roll following process and final finished provides sound assurance.

Description

Large forged back -up roll body of roll working lining defect inspection method
Technical field
The invention belongs to technical field of nondestructive testing, and in particular to a kind of large forged back -up roll body of roll work layer defects inspection Survey method.
Background technology
People's Republic of China (PRC) machinery industry standard JB/T 4120-2006《Large-sized forging alloy steel supporting roll》4.4.2 section Regulation:For solid forged backup roll, the surface layer from body surface 100mm depths(Namely body of roll working lining)It is not allow for straight more than equivalent The defect of diameter φ 2mm.
It is just refined currently, the manufacturing process of large forged back -up roll roller stock is electric furnace(DC)+ ladle refining(LF)+ be vacuum-treated (VD)+ vacuum pouring(VC)Although above-mentioned technique uses advanced double vacuum techniques(Vacuum processing+vacuum pouring), but still The defects of body of roll working lining can not so be prevented completely.
The defects of body of roll working lining is generally divided into that interior life is mingled with class defect and foreing impuritys class is lacked according to Crack cause It falls into, what the former mainly generated in the secondary oxidation of refinement and deoxidation and casting process, the latter is mainly then the band in cast Enter in roller stock.
Above-mentioned foreing impuritys class defect is substantially all in 1mm hereinafter, in the majority with 0.3~0.5mm, since large-scale forged steel supports Roller body of roll working lining is deeper, and usually up to 100mm or so, so small defect is difficult to detect in process, is only waited until It just will recognize that when encountering problems during the use of finished product backing roll, but this defect can not usually be eliminated by grinding, it therefore, can only It scraps, to bring larger economic loss to roll manufacturing firm.
Invention content
It is an object of the invention to solve the above problems, a kind of large forged back -up roll body of roll working lining defects detection is provided Method, this method can detect equivalent in 1mm foreing impuritys class defects below in large-sized forging backing roll process.
Realizing the technical solution of the object of the invention is:A kind of large forged back -up roll body of roll working lining defect inspection method, Including:1. carrying out rayleigh waves inspection to large forged back -up roll body surface, the region of body surface existing defects is determined;2. right The specific location and size of body of roll working lining defect are detected using normal probe in the region of above-mentioned existing defects.
Above-mentioned steps 2. in, use double-crystal normal probe within the scope of the sensitivity technique body of roll working lining 50mm of φ 1mm Defect uses straight probe of single crystal with the defect outside the sensitivity technique body of roll working lining 50mm ranges of φ 1mm.
The frequency of the double-crystal normal probe is 4MHz, a diameter of Φ 24mm, focal length 12mm.
The frequency of the straight probe of single crystal is 5MHz, a diameter of Φ 10mm.
The good effect that the present invention has:The present invention is using surface wave combination twin crystal/straight probe of single crystal to large-scale forged steel branch Runner body of roll work layer defects are detected, and especially use double-crystal normal probe with φ 1mm within the scope of body of roll working lining 50mm Sensitivity be detected, can in time be detected in large forged back -up roll process in this way equivalent 1mm with Under defect, the performance for large forged back -up roll following process and final finished provides sound assurance.
Specific implementation mode
(Embodiment 1)
The large forged back -up roll specification of the present embodiment be φ 1200mm × 3790mm, detect its it is rough turn when body of roll working lining Defect, it is specific as follows:
1. first to it is rough turn when above-mentioned large forged back -up roll body surface be ground, it is ensured that its body surface roughness Less than Ra0.8.
Then surface wave is used to carry out scanning in body surface.
As a result, it has been found that:In the body of roll(Steel seal end)Away from the long 300mm of chamfering, width 230mm region in there is intensive dotted open Mouth defect.
2. double-crystal normal probe in the area, is used to be carried out within the scope of body of roll working lining 50mm with the sensitivity of φ 1mm Detection, while straight probe of single crystal being used to be detected outside body of roll working lining 50mm ranges with the sensitivity of φ 1mm.
As a result, it has been found that:Find that defective wave shows that Defect Equivalent size respectively may be about at depth 5mm and at 20mm in the body of roll 0.8mm and 0.4mm.
Double-crystal normal probe the model SEB4, focal length 12mm, probe diameter φ 24mm, frequency 4MHz that the present embodiment uses.
The straight probe of single crystal model 5P10Z that the present embodiment uses.
(Comparative example 1)
This comparative example is substantially the same manner as Example 1, the difference is that:
Step 2. in, use double-crystal normal probe to be detected within the scope of body of roll working lining 50mm with the sensitivity of φ 2mm, As a result defect waves are found no to show.
(Comparative example 2)
This comparative example is substantially the same manner as Example 1, the difference is that:
Step 2. in, use straight probe of single crystal to be detected within the scope of body of roll working lining 50mm with the sensitivity of φ 1mm, As a result defect waves are found no to show.
(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. as a result, it has been found that:Exist in one chamfer of the body of roll to 1/3 barrel length region Intensive punctual openings defect.
2. step uses double-crystal normal probe to be detected within the scope of body of roll working lining 50mm with the sensitivity of φ 1mm, together Shi Caiyong straight probe of single crystal is detected with the sensitivity of φ 1mm outside body of roll working lining 50mm ranges.
As a result, it has been found that:Find that defective wave shows that Defect Equivalent size is about 0.6mm at depth 33mm under body surface.
(Embodiment 3)
The large forged back -up roll specification of the present embodiment be φ 890mm × 2690mm, detect its it is rough turn when body of roll working lining Defect.
Wherein, step surface wave scanning 1. as a result, it has been found that:It is opened in whole branch roll barrel region in the presence of intensity is dotted Mouth defect.
2. step is detected with the sensitivity of φ 1mm within the scope of body of roll working lining 50mm with double-crystal normal probe, simultaneously Straight probe of single crystal is used to be detected outside body of roll working lining 50mm ranges with the sensitivity of φ 1mm.
As a result, it has been found that:Find that defective wave shows that Defect Equivalent size is about 0.5mm at depth 28mm in the body of roll.

Claims (3)

1. a kind of large forged back -up roll body of roll working lining defect inspection method, it is characterised in that including:
1. carrying out rayleigh waves inspection to large forged back -up roll body surface, the region of body surface existing defects is determined;
2. detecting the specific location of body of roll working lining defect using normal probe to the region of above-mentioned existing defects and size being specially Double-crystal normal probe is used with the defects of sensitivity technique body of roll working lining 50mm ranges of φ 1mm, use straight probe of single crystal with Defect outside the sensitivity technique body of roll working lining 50mm ranges of φ 1mm.
2. large forged back -up roll body of roll working lining defect inspection method according to claim 1, it is characterised in that:It is described The frequency of double-crystal normal probe is 4MHz, a diameter of Φ 24mm, focal length 12mm.
3. large forged back -up roll body of roll working lining defect inspection method according to claim 1, it is characterised in that:It is described The frequency of straight probe of single crystal is 5MHz, a diameter of Φ 10mm.
CN201510062690.8A 2015-02-06 2015-02-06 Large forged back -up roll body of roll working lining defect inspection method Active CN104634874B (en)

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CN104634874B true CN104634874B (en) 2018-08-24

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Citations (8)

* Cited by examiner, † Cited by third party
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
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

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4006972B2 (en) * 2000-12-25 2007-11-14 日本精工株式会社 Rolling bearing

Patent Citations (8)

* Cited by examiner, † Cited by third party
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
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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