CN102841135B - Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology - Google Patents

Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology Download PDF

Info

Publication number
CN102841135B
CN102841135B CN201210345052.3A CN201210345052A CN102841135B CN 102841135 B CN102841135 B CN 102841135B CN 201210345052 A CN201210345052 A CN 201210345052A CN 102841135 B CN102841135 B CN 102841135B
Authority
CN
China
Prior art keywords
magnetic memory
memory signal
fatigue
commissure
detection technology
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201210345052.3A
Other languages
Chinese (zh)
Other versions
CN102841135A (en
Inventor
邸新杰
王文绚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shaanxi Xinzhong Equipment Manufacturing Co., Ltd
Original Assignee
Tianjin University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin University filed Critical Tianjin University
Priority to CN201210345052.3A priority Critical patent/CN102841135B/en
Priority to CN201510235729.1A priority patent/CN104931576B/en
Publication of CN102841135A publication Critical patent/CN102841135A/en
Application granted granted Critical
Publication of CN102841135B publication Critical patent/CN102841135B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses the characterizing method of the welding crack expansion process based on metal magnetic memory detection technology, the dynamic stress concentration of technology magnetic memory detection technology and fatigue load and fracture damage mechanics are combined, using magnetic memory signal method phase component and its graded situation as the variable in welding joint continuous damage, set up a kind of based on metal magnetic memory detection technology for the low-cycle fatigue damage quantitatively characterizing method of breach weld assembly under different loads form.The stress that the present invention adopts metal magnetic memory technique to detect heat-affected zone and commissure stray field under different fatigue cycle index is concentrated, by the expansion process of the quantitative sign crack tip of the change of magnetic memory signal null position, with the degree of injury of test specimen in the maximal value quantitatively characterizing crack propagation process of magnetic memory signal and its intensity gradient.

Description

Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology
Technical field
The invention belongs to band weld seam hardware magnetic NDT method field, more particularly, that one is concentrated based on metal magnetic memory signal and parameter variation characteristic detection component internal stress thereof, the method of quantitatively characterizing crack propagation process and component damage degree, belongs to metal magnetic memory test field in Non-Destructive Testing.
Background technology
Ferromagnetic material is widely used in commercial production because of its excellent mechanical property and cheap price.Fatigue break is the modal a kind of failure mode of ferromagnetic component (particularly weld assembly), and the fatigue break of 60% to 80% is because the stress of various microcosmic and macroscopic view is concentrated, damaged accumulative causing according to statistics.Welding is the process of a non-equilibrium heating cooling, can produce unrelieved stress through welded structure, and the local location of structure causes stress significantly to concentrate, and runs, be just easy to cause fatigue damage to rupture under cyclic loading condition.Generally, the root that welding crack produces expansion is exactly that the stress of various microcosmic is concentrated, and the generation of crackle and expansion and the load type of waveform suffered by structural member have very large relation in addition.Diagnosed the expansion process of crackle by the method for Non-Destructive Testing in advance, find out potential extensions path, extremely important to the fatigure failure of prevention test specimen.
Carry out analysis of fatigue, effectively evaluating stress deformation situation, particularly cause the limit stress deformation condition damaged just to become the structural strength of valuator device and component and reliability one foundation always.In order to find out maximum machine stress deformation region timely and accurately, Russia scholar proposes the metal magnetic memory detecting method based on material power magneto-coupling effect, utilize the ferrimagnet spontaneous magnetization characteristic under magnetic field of the earth and stress field acting in conjunction to detect, can detecting material internal stress concentration zones and stress concentration degree thereof, and then determine that steady hazardous location may occur for the existence of defect or component.Metal magnetic memory testing instrument device can detect the method phase component of component surface stray field, and the method phase component of this stray field reflects the concentrated degree of welding crack internal stress.Crackle and the near zone place that stress concentration degree is the highest often thereof, the stress that therefore metal magnetic memory testing instrument device can be utilized to detect concentrates the expansion process characterizing crackle.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, there is provided one can for magnetic signal and characteristic parameter variation characteristic thereof, the fatigue damage degree of the breach weld assembly under the effect of different loads form and crack propagation process are carried out to the low-cycle fatigue damage quantitatively characterizing method based on metal magnetic memory detection technology of quantitatively characterizing.
Technical purpose of the present invention is achieved by following proposal:
Technical scheme of the present invention is combined at the dynamic stress concentration of technology magnetic memory detection technology and fatigue load and fracture damage mechanics, using magnetic memory signal method phase component and its graded situation as the variable in welding joint continuous damage, set up a kind of based on metal magnetic memory detection technology for the low-cycle fatigue damage quantitatively characterizing method of breach weld assembly under different loads form, described method mainly comprises the following steps:
First (step 1), to band breach welded specimen, (as shown in Figure 1, test specimen is long is 2a, wide for b) to carry out low cycle fatigue test under the fatigue load effect of different wave.The prefabricated crackle perpendicular to weld seam (being about 1mm) of indentation, there before experiment, can predict that crackle can along the Directional Extension perpendicular to weld seam.In fatigue loading process, surface of test piece heat-affected zone (Measurement channel 1 under detection different fatigue cycle index, precrack is passed through during measurement) and the magnetic memory signal (normal component of spontaneous stray field intensity) of axis of a weld place (Measurement channel 2), namely the magnetic memory signal of different measuring passage in crack propagation process is obtained, the start line of each measurement is all positioned at l place on the left of weld seam, the terminated line of each measurement is all positioned at l place on the right side of weld seam, namely, centered by precrack, start respectively to measure and stop in left and right sides equidistant.
Secondly (step 2), the position P of the magnetic memory signal zero crossing of heat-affected zone and commissure under extraction different loads cycle index 1(l), P 2the magnetic memory signal maximal value Hp of (l) and commissure 2(y) max(as shown in Figure 2), owing to being in the Measurement channel of heat-affected zone through precrack, magnetic memory signal zero crossing position P in fatigue loading process 1l () remains unchanged, as reference, can judge the zero crossing position of the magnetic memory signal at axis of a weld place according to this.
(step 3) again, because the stress concentration degree of crack tip is higher than other regions, at the highest region of stress concentration, stray field normal component zero crossing, so can analyze the propagation law of crack tip in loading procedure according to the zero point position of magnetic memory signal.P with the position coordinates of the magnetic memory signal zero crossing of commissure during the N time fatigue and cyclic 2(l) nfor variable, set up and characterize crack tip and fixed position P 1the displacement difference of (l) than expression formula, namely when | L|≤5% just shows the magnetic memory signal zero crossing position P of Measurement channel 2 2(l) nwith the magnetic memory signal zero crossing position P of Measurement channel 1 1l () is more close, crackle is expanded along the position of vertical weld.
Last (step 4), analyzes Crack Initiation stage stress herein according to the maximal value of weld seam magnetic memory signal and concentrates situation, the degree of injury of prediction test specimen.With the magnetic memory signal maximal value H of commissure during the N time fatigue and cyclic 2(Y) max Nas variable, set up the expression model of weld assembly injury tolerance, as the standard weighing welding piece fatigue damage.Wherein H 2(y) max 0represent the maximal value loading the magnetic memory signal that front commissure detects, work as D nrepresent when>=2.0 that major injury occurs in commissure, D nthe degree of injury of the larger component of value larger.
The stress that the present invention adopts metal magnetic memory technique to detect heat-affected zone and commissure stray field under different fatigue cycle index is concentrated, by the expansion process of the quantitative sign crack tip of the change of magnetic memory signal null position, with the degree of injury of test specimen in the maximal value quantitatively characterizing crack propagation process of magnetic memory signal and its intensity gradient.
Accompanying drawing explanation
The Workpiece structure schematic diagram of Fig. 1 the present invention test
The magnetic memory signal curve map of heat-affected zone and commissure under Fig. 2 different loads cycle index, wherein the position of the magnetic memory signal zero crossing of heat-affected zone and commissure is respectively P 1(l), P 2the magnetic memory signal maximal value Hp of (l) and commissure 2(y) max
Test specimen scale diagrams in Fig. 3 embodiment of the present invention
The magnetic memory signal curve map of heat-affected zone and commissure under different loads cycle index in Fig. 4 embodiment of the present invention 1
The magnetic memory signal curve map of heat-affected zone and commissure under different loads cycle index in Fig. 5 embodiment of the present invention 2
Embodiment
Technical scheme of the present invention is further illustrated below in conjunction with specific embodiment.A kind of method characterizing crack propagation process and degree of injury in welded structure based on metal magnetic memory technique and characteristic parameter thereof, under same stress ratio effect, fatigue load adopts square wave fatigue load and triangular wave fatigue load respectively, the size of test specimen as shown in Figure 3 (mm):
Embodiment 1: fatigue load selecting party wave load, stress ratio is 0.5, maximum load 120KN, minimum load 60KN
1, under conditions set torture test is carried out to band breach welding piece, prefabricated perpendicular to weld seam, the crackle being about 1mm in indentation, there before experiment; In fatigue loading process, detect the magnetic memory signal of test specimen heat-affected zone and commissure with metal magnetic memory technique.Then the position P of the zero crossing of the magnetic memory signal of heat-affected zone and commissure under the N time cycle index is extracted 1(l), P 2(l) nwith the magnetic memory signal maximal value Hp of commissure 2(y) max N(as shown in Figure 4) the magnetic memory signal zero crossing position P of heat-affected zone, is wherein in 1(l)=40.
2, be P (l) according to the position coordinates of the magnetic memory signal zero crossing of commissure during the N time fatigue and cyclic nfor variable, calculate crack tip displacement difference than (as shown in table 1 below).After cycle index is greater than 10000 times, | L|≤2.5 show the magnetic memory signal zero crossing position of commissure and predetermined crack location close, weld seam along the Directional Extension of vertical weld, with predict the outcome consistent.
Table 1
Cycle index 500 1000 1500 2000 2500 3000 4000 5500 6000 7500
L 20 15 15 14.5 13.5 12 10 10 10 7.5
Cycle index 8500 9500 10500 11500 13000 14500 15000 15500 17000 16530
L 5 2.5 2.5 2.5 2.5 2.5 0 0 0 0
Cycle index 17500 18500 19030 19500 20040 21000 22000 23500 24500 25500
L 0 0 -2.5 -2.5 -2.5 -2.5 -2.5 -2.5 -2.5 -2.5
3, with the magnetic memory signal maximal value H of commissure during the N time fatigue and cyclic 2(y) max Nas variable, calculate weld assembly injury tolerance (as shown in table 2 below), as the standard weighing welding piece fatigue damage.When after N>10000 time, D n>=2 show component generation major injury, D nthe degree of injury of the larger component of value larger.
Table 2
Cycle index 500 1000 1500 2000 2500 3000 4000 5500 6000 7500
D 1 1.071 1.25 1.375 1.339 1.357 1.339 1.393 1.393 1.696
Cycle index 8500 9500 10500 11500 13000 14500 15000 15500 17000 16530
D 1.732 1.786 1.946 2.143 2.232 2.321 2.679 2.839 2.857 3.036
Cycle index 17500 18500 19030 19500 20040 21000 22000 23500 24500 25500
D 3.214 3.393 3.572 3.518 3.554 3.69 3.929 4.107 4.214 4.339
Embodiment 2: fatigue load selects triangular wave load, and stress ratio is 0.5, maximum load 120KN, minimum load 60KN
1, under conditions set torture test is carried out to band breach welding piece, prefabricated perpendicular to weld seam, the crackle being about 1mm in indentation, there before experiment; In fatigue loading process, detect the magnetic memory signal of test specimen heat-affected zone and commissure with metal magnetic memory technique.Then the position P of the zero crossing of the magnetic memory signal of heat-affected zone and commissure under the N time cycle index is extracted 1(l), P 2(l) nwith the magnetic memory signal maximal value Hp of commissure 2(y) max N(as shown in Figure 5) the magnetic memory signal zero crossing position P of heat-affected zone, is wherein in 1(l)=40.
2, be P (l) according to the position coordinates of the magnetic memory signal zero crossing of commissure during the N time fatigue and cyclic nfor variable, calculate crack tip displacement difference than (as shown in table 3 below).After cycle index is greater than 9500 times, | L|≤5 show the magnetic memory signal zero crossing position of commissure and predetermined crack location close, weld seam is along the Directional Extension of vertical weld.
Table 3
Cycle index 1000 1500 2000 2500 3000 4070 4500 5500
L 47.5 42.5 37.5 20 20 15 10 10
Cycle index 6500 7040 8000 9500 10000 11500 14500 15000
L 10 7.5 7.5 5 5 5 2.5 0
Cycle index 15500 16000 16500 17000 17500 18000
L 0 2.5 2.5 0 0 0
3, with the magnetic memory signal maximal value H of commissure during the N time fatigue and cyclic 2(y) max Nas variable, calculate weld assembly injury tolerance (as shown in table 4 below), as the standard weighing welding piece fatigue damage.After N is greater than 5500 times, D n>=2 show component generation major injury, D nthe degree of injury of the larger component of value larger.
Table 4
Cycle index 1000 1500 2000 2500 3000 4070 4500 5500
D 1 1.310 1.310 1.476 1.476 1.595 1.571 2.381
Cycle index 6500 7040 8000 9500 10000 11500 14500 15000
D 2.381 2.476 2.5 2.381 2.381 2.381 3.095 2.667
Cycle index 15500 16000 16500 17000 17500 18000
D 2.929 3 2.952 2.857 2.810 3.214
Above to invention has been exemplary description; should be noted that; when not departing from core of the present invention, any simple distortion, amendment or other those skilled in the art can not spend the equivalent replacement of creative work all to fall into protection scope of the present invention.

Claims (2)

1., based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology, it is characterized in that,
First, under the fatigue load effect of different wave, low cycle fatigue test is carried out to band breach welded specimen, before the test is conducted at the prefabricated crackle perpendicular to weld seam of indentation, there, in fatigue loading process, the magnetic memory signal at surface of test piece heat-affected zone and axis of a weld place under detection different fatigue cycle index, namely the magnetic memory signal of different measuring passage in crack propagation process is obtained, wherein be in the Measurement channel of heat-affected zone through precrack, when detecting magnetic memory signal, centered by precrack, start respectively to detect and termination detection in left and right sides equidistant,
Next, the position P of the magnetic memory signal zero crossing of heat-affected zone and commissure under extraction different loads cycle index 1(l), P 2the magnetic memory signal maximal value Hp of (l) and commissure 2(y) max;
Again, be P with the position coordinates of the magnetic memory signal zero crossing of commissure during the N time fatigue and cyclic 2(l) nfor variable, with for crack tip and fixed position P 1l the displacement difference of () compares expression formula; With the magnetic memory signal maximal value H of commissure during the N time fatigue and cyclic 2(y) maxNas variable, with as the standard weighing welding piece fatigue damage, wherein H 2(y) max0represent the maximal value loading the magnetic memory signal that front commissure detects.
2. the characterizing method of the welding crack expansion process based on metal magnetic memory detection technology according to claim 1, is characterized in that, when | during L|≤5%, show the magnetic memory signal zero crossing position P at axis of a weld place 2(l) nwith the magnetic memory signal zero crossing position P of Measurement channel being in heat-affected zone 1l () is more close, crackle is expanded along the position of vertical weld.
CN201210345052.3A 2012-09-14 2012-09-14 Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology Active CN102841135B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201210345052.3A CN102841135B (en) 2012-09-14 2012-09-14 Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology
CN201510235729.1A CN104931576B (en) 2012-09-14 2012-09-14 A kind of characterizing method of weld crack expansion process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210345052.3A CN102841135B (en) 2012-09-14 2012-09-14 Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology

Related Child Applications (1)

Application Number Title Priority Date Filing Date
CN201510235729.1A Division CN104931576B (en) 2012-09-14 2012-09-14 A kind of characterizing method of weld crack expansion process

Publications (2)

Publication Number Publication Date
CN102841135A CN102841135A (en) 2012-12-26
CN102841135B true CN102841135B (en) 2015-09-09

Family

ID=47368689

Family Applications (2)

Application Number Title Priority Date Filing Date
CN201210345052.3A Active CN102841135B (en) 2012-09-14 2012-09-14 Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology
CN201510235729.1A Active CN104931576B (en) 2012-09-14 2012-09-14 A kind of characterizing method of weld crack expansion process

Family Applications After (1)

Application Number Title Priority Date Filing Date
CN201510235729.1A Active CN104931576B (en) 2012-09-14 2012-09-14 A kind of characterizing method of weld crack expansion process

Country Status (1)

Country Link
CN (2) CN102841135B (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104777218A (en) * 2014-01-15 2015-07-15 天津大学 Method for determining ferromagnetic material crack generation by metal magnetic memory detection technology
CN108875135B (en) * 2018-05-11 2022-07-15 沈阳工业大学 Weld magnetic memory signal feature identification method
CN108763664A (en) * 2018-05-11 2018-11-06 沈阳工业大学 Based on ultra-soft pseudo potential weld seam magnetic memory signal characteristic detection method
CN109556958A (en) * 2018-12-07 2019-04-02 武汉科技大学 A kind of test method of simple check line crack starter location and spreading rate at first
CN109855992A (en) * 2019-01-21 2019-06-07 中国人民解放军空军工程大学 A kind of big thick and high-strength degree aluminium alloy plate fatigue crack propagation test method
CN111175157B (en) * 2020-01-15 2021-01-19 西安交通大学 Low-cycle fatigue performance evaluation method for welding joint
CN111289608B (en) * 2020-03-23 2023-03-21 江苏科技大学 Method for evaluating welding residual stress
CN113514291B (en) * 2020-04-09 2023-01-06 中国航发商用航空发动机有限责任公司 Method for preparing test sample with surface cracks
CN111521507B (en) * 2020-04-30 2023-03-31 江苏师范大学 Test method for thermal fatigue surface crack propagation rate of environment-friendly stainless steel weld joint
CN114169109A (en) * 2022-01-14 2022-03-11 华北电力科学研究院有限责任公司 Dissimilar steel joint fatigue life prediction method and device
CN114413828B (en) * 2022-01-21 2023-12-29 吉林建筑大学 Structural deformation monitoring method for light steel structure assembly type building
CN114942090B (en) * 2022-04-11 2024-05-03 江苏科技大学 Correction method for evaluating ferromagnetic cladding layer stress based on self-emission magnetic signal

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000019161A (en) * 1998-07-06 2000-01-21 Nkk Corp Fatigue crack progress direction predicting method
CN1793895A (en) * 2005-12-06 2006-06-28 天津大学 Method of diagnosing pipeline welding crack using metal magnetic memory detecting signal

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101210904A (en) * 2006-12-28 2008-07-02 上海宝钢工业检测公司 Metal magnetic memory rapid previewing method
CN100573132C (en) * 2007-08-17 2009-12-23 中国人民解放军装甲兵工程学院 Utilize the method for variated magnetic signal monitoring ferromagnetic material fatigue crack expansion

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000019161A (en) * 1998-07-06 2000-01-21 Nkk Corp Fatigue crack progress direction predicting method
CN1793895A (en) * 2005-12-06 2006-06-28 天津大学 Method of diagnosing pipeline welding crack using metal magnetic memory detecting signal

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
基于磁记忆机理的焊缝疲劳累积损伤特征;邢海燕 等;《无损检测》;20120310;第34卷(第3期);第25-29页 *
金属磁记忆信号随检测时间和空间变化规律的研究;严春妍 等;《中国科技论文在线》;20061231;第1-6页 *
金属磁记忆技术表征应力集中、残余应力及缺陷的探讨;董丽虹 等;《材料工程》;20091231(第8期);第19-23页 *

Also Published As

Publication number Publication date
CN102841135A (en) 2012-12-26
CN104931576A (en) 2015-09-23
CN104931576B (en) 2018-05-11

Similar Documents

Publication Publication Date Title
CN102841135B (en) Based on the characterizing method of the welding crack expansion process of metal magnetic memory detection technology
CN102182933B (en) Nondestructive detection system and method for pulsed magnetic flux leakage defects and stresses
Xiao-meng et al. Research on the stress-magnetism effect of ferromagnetic materials based on three-dimensional magnetic flux leakage testing
Wang et al. Features extraction of sensor array based PMFL technology for detection of rail cracks
CN202092997U (en) Natural defect welding test piece
CN111480072A (en) Method of using a non-destructive material inspection system
CN104777218A (en) Method for determining ferromagnetic material crack generation by metal magnetic memory detection technology
CN103008855B (en) Method for simulating generation of P92 steel welding seam metal fine cracks
CN106596261A (en) Method for measuring expansion rate of intrinsic fatigue crack of welded plate vertical to weld direction
CN110133016A (en) A kind of method of welding value auxiliary X-ray diffraction detection residual stress
CN106815552A (en) Data signal post-processing approach based on time frequency analysis
CN106970141A (en) A kind of method that utilization magnetic memory signal change is predicted to tension
CN103884557A (en) Method for preparing specimens used in testing of mechanical properties of thin-walled and small-diameter petroleum and natural gas pipelines
CN104677751A (en) Quality detection method for resistance-spot-welding spots on basis of calculation of thermal effect of welding process
CN207662845U (en) A kind of scalable Multi probe portable detector based on Magnetic Memory
CN110355472A (en) A method of based on restraining force prediction thin plate welding deformation
CN103954688B (en) Turbine rotor Assessment For Welding Defects method
CN109472117A (en) Nuclear power station structural crack near zone residual stress distribution quantifies Nondestructive Evaluation method
Kudryavtsev et al. Ultrasonic measurement of residual stresses in welded elements of ship structure
CN102706745A (en) Welding strength detection method
Zhang et al. Numerical analysis of magnetic flux leakage of transverse defects of sucker rod
Zhao et al. Research on fatigue behavior and residual stress of large-scale cruciform welding joint with groove
Mashiri et al. Fatigue tests and design of welded thin-walled RHS–Channel and Channel–Channel cross-beam connections under cyclic bending
CN104237373B (en) A kind of method extending the diffusion actual draw ratio of casing support plate in longitudinal magnetization
Hertelé et al. Weld strength mismatch in strain based flaw assessment: which definition to use?

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20170728

Address after: 112000 C zone, cap Hill Industrial Park, Tieling Economic Development Zone, Liaoning, China

Patentee after: LIAONING XINZHONG TECHNOLOGY CO., LTD.

Address before: 300072 Tianjin City, Nankai District Wei Jin Road No. 92

Patentee before: Tianjin University

TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20200429

Address after: 713504 high end energy and chemical industry park, tunzhuang village, Xinmin Town, Binzhou City, Xianyang City, Shaanxi Province

Patentee after: Shaanxi Xinzhong Equipment Manufacturing Co., Ltd

Address before: 112000 C area of Mao Shan Industrial Park, Tieling Economic Development Zone, Liaoning

Patentee before: LIAONING XINZHONG TECHNOLOGY Co.,Ltd.

TR01 Transfer of patent right