公开(公告)号：US20240027420A1

公开(公告)日：2024-01-25

申请号：US17813658

申请日：2022-07-20

Applicant: The Boeing Company

Inventor： Joseph A. Pecina

IPC: G01N33/2045 ,  B22F3/24 ,  B22F3/22 ,  G01N3/60

CPC classification number: G01N33/2045 ,  B22F3/24 ,  B22F3/225 ,  G01N3/60 ,  B22F2003/248

Abstract: A nondestructive inspection method includes steps of: (1) forming a first inspection standard using a metal injection molding process; (2) forming a second inspection standard using the metal injection molding process; and (3) creating a reference library that includes the first and the second inspection standards. The first inspection standard includes a first crack, induced by at least one of a thermal shock and a thermal stress. The second inspection standard includes a second crack, induced by at least one of the thermal shock and the thermal stress. At least one of the thermal shock and the thermal stress introduced during a sintering operation for the first inspection standard is different than at least one of the thermal shock and the thermal stress introduced during the sintering operation for the second inspection standard. The first crack and the second crack are different.

公开(公告)号：US11815477B2

公开(公告)日：2023-11-14

申请号：US17606995

申请日：2020-03-25

Applicant: THE UNIVERSITY OF SHEFFIELD

Inventor： Matthew Brown ,  Peter Lawrence Crawforth ,  Bradley Peter Wynne ,  Hassan Ghadbeigi

IPC: G01N23/207 ,  G01N23/20 ,  G01N33/20 ,  G01N23/20025 ,  G01N33/2045

CPC classification number: G01N23/2073 ,  G01N23/207 ,  G01N23/20025 ,  G01N33/20 ,  G01N33/2045 ,  G01N2223/1003 ,  G01N2223/204 ,  G01N2223/646 ,  G01N2223/6462

Abstract: A method of non-destructive detection of surface and near surface abnormalities in a metallic product. The method comprises positioning a sample having a surface under a source of an incident radiation. The surface of the sample is then irradiated with the incident radiation from the source. A scattered radiation is detected and a radiation pattern from the detected scattered radiation is produced. Said radiation pattern is then analysed and the output indicative of the scattered radiation from the sample is produced. Said produced output is then compared with a threshold value, the threshold value indicative of a maximum acceptable detected surface abnormality. Finally, the presence of a surface abnormality is identified when the output exceeds the threshold value.

公开(公告)号：US11747303B2

公开(公告)日：2023-09-05

申请号：US17395183

申请日：2021-08-05

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Hitoshi Iwasaki ,  Satoshi Shirotori ,  Akira Kikitsu ,  Yoshihiro Higashi

IPC: G01N27/90 ,  G01N33/2045

CPC classification number: G01N27/9006 ,  G01N33/2045

Abstract: According to one embodiment of the invention, a magnetic sensor includes a first sensor part. The first sensor part includes a first magnetic member, a first counter magnetic member, and a first magnetic element. A direction from the first magnetic member to the first counter magnetic member is along a first direction. The first magnetic element includes one or a plurality of first extending portions. A first portion of the first extending portion overlaps the first magnetic member in a second direction crossing the first direction. A first counter portion of the first extending portion overlaps the first counter magnetic member in the second direction. A first direction length along the first direction of the first extending portion is longer than a third direction length along a third direction of the first extending portion. The third direction crosses a plane including the first direction and the second direction.

公开(公告)号：US20230228728A1

公开(公告)日：2023-07-20

申请号：US17954682

申请日：2022-09-28

Applicant: Tianjin University

Inventor： Yongdian HAN ,  Shifang ZHONG ,  Lianyong XU ,  Hongyang JING ,  Lei ZHAO ,  Kangda HAO

IPC: G01N33/207 ,  G01N30/62 ,  G01N33/2045 ,  B23K31/12

CPC classification number: G01N33/207 ,  G01N30/62 ,  G01N33/2045 ,  B23K31/125 ,  G01N2030/027

Abstract: The present invention discloses a quantitative evaluation method for sensitivity of welding transverse cold cracks in a typical joint of a jacket, including following steps: S1, performing macroscopic analysis, metallographic analysis, fracture analysis and hardness analysis on cracks of a failed component to obtain main causes of cold crack failure; and S2, designing and processing a dedicated sample, and performing rigid restraint crack tests on the dedicated sample at different preheating temperatures to obtain a cracking/non-cracking critical restraint stress σ1cr of the sample. According to the method, a rigid restraint crack test is applied to evaluation of sensitivity of welding transverse cracks, so that external restraint conditions borne by a welding joint can be accurately simulated, a stress state of the welding joint in an actual working condition can be truly reflected, the overall evaluation precision is greatly improved, and a foundation is laid for accurately evaluating sensitivity of welding cold cracks in a tube joint. Furthermore, a welding technology (base material, welding material, welding process and restraint level) is designed to restrain cold cracks from cracking, and the method has important theoretical significance and engineering value.

公开(公告)号：US11703497B1

公开(公告)日：2023-07-18

申请号：US17954682

申请日：2022-09-28

Applicant: Tianjin University

Inventor： Yongdian Han ,  Shifang Zhong ,  Lianyong Xu ,  Hongyang Jing ,  Lei Zhao ,  Kangda Hao

IPC: G01N1/28 ,  G01N3/02 ,  G01N3/06 ,  G01N21/88 ,  G01N23/04 ,  G01N30/02 ,  G01N30/06 ,  G01N33/207 ,  G01N30/62 ,  B23K31/12 ,  G01N33/2045

CPC classification number: G01N33/207 ,  B23K31/125 ,  G01N30/62 ,  G01N33/2045 ,  G01N2030/027

Abstract: The present invention discloses a quantitative evaluation method for sensitivity of welding transverse cold cracks in a typical joint of a jacket, including following steps: S1, performing macroscopic analysis, metallographic analysis, fracture analysis and hardness analysis on cracks of a failed component to obtain main causes of cold crack failure; and S2, designing and processing a dedicated sample, and performing rigid restraint crack tests on the dedicated sample at different preheating temperatures to obtain a cracking/non-cracking critical restraint stress σ1cr of the sample. According to the method, a rigid restraint crack test is applied to evaluation of sensitivity of welding transverse cracks, so that external restraint conditions borne by a welding joint can be accurately simulated, a stress state of the welding joint in an actual working condition can be truly reflected, the overall evaluation precision is greatly improved, and a foundation is laid for accurately evaluating sensitivity of welding cold cracks in a tube joint. Furthermore, a welding technology (base material, welding material, welding process and restraint level) is designed to restrain cold cracks from cracking, and the method has important theoretical significance and engineering value.

公开(公告)号：US20230213462A1

公开(公告)日：2023-07-06

申请号：US18008747

申请日：2021-06-18

Applicant: RIKEN

Inventor： Yoshie OTAKE ,  Yoshimasa IKEDA ,  Yuichi YOSHIMURA ,  Takao HASHIGUCHI ,  Maki MIZUTA ,  Hirokazu KITAGAWA ,  Kenta KATO

IPC: G01N23/20008 ,  G01N33/2045

CPC classification number: G01N23/20008 ,  G01N33/2045

Abstract: A cable inspection device non-destructively inspects a cable used for supporting a bridge. The cable inspection device includes a neutron source and a neutron detection device. The neutron source emits neutrons to the cable. The neutron detection device includes a detection surface arranged outside the cable, and detects target neutrons and measures the number of the detected target neutrons when neutrons are emitted to the cable. The target neutrons are among the neutrons released from the cable and incident on the detection surface, and each have an energy equal to or lower than a predetermined value that is lower than an energy of a fast neutron.

公开(公告)号：US20230168226A1

公开(公告)日：2023-06-01

申请号：US17539272

申请日：2021-12-01

Applicant: Halliburton Energy Services, Inc.

Inventor： Junwen Dai ,  Ahmed Fouda

IPC: G01N27/9093 ,  G01N33/2045 ,  G06F30/18

CPC classification number: G01N27/9093 ,  G01N33/2045 ,  G06F30/18 ,  G06F2113/14

Abstract: Electromagnetic logging tools are optimized using synthetic logs for the purpose of pre-job planning and accuracy/resolution estimation. One, two and three-dimensional forward modeling are used to generate accurate inspection tool responses. A radial one-dimensional (R1D) electromagnetic forward model is also used to compute an approximate log. By constructing non-linear mapping functions between the R1D model-based log and the 2D model-based log, and mapping the R1D synthetic log using the non-linear mapping functions, a quasi 2D log is computed. The quasi 2D log is processed using model-based inversion, thereby providing estimates of pipe parameters. By analyzing the estimates of pipe parameters, tool performance metrics are obtained and analyze to determine the performance of the tool. The tool parameters are adjusted in order to optimize the performance metrics.

公开(公告)号：US11644445B2

公开(公告)日：2023-05-09

申请号：US17189958

申请日：2021-03-02

Applicant: Kunihiko Niimi

Inventor： Kunihiko Niimi

IPC: G01N29/11 ,  G01N33/2045 ,  G01N29/265 ,  G01N29/44 ,  G01N29/24

CPC classification number: G01N29/11 ,  G01N29/24 ,  G01N29/265 ,  G01N29/44 ,  G01N33/2045 ,  G01N2291/028 ,  G01N2291/0234 ,  G01N2291/048 ,  G01N2291/102

Abstract: To provide a method for evaluating a corroded part, the method making it possible to specify only a waveform reflected by a corroded part and to evaluate the waveform. When a transmission unit (2) is moved on the surface of a metal pipe (60) and the distance between a corroded part (5) and the transmission unit (2) is changed, only a waveform portion A of ultrasonic waves reflected by the corroded part (5) moves toward the left or right along an X axis, and only the intensity of a noise waveform portion B included in a received wave changes upward or downward along a Y axis, which makes it possible to separate the waveform portion A and the noise waveform portion B of a longitudinal-wave surface wave reflected by the corroded part (5) and evaluate the waveform portion A in detail.

公开(公告)号：US20230111766A1

公开(公告)日：2023-04-13

申请号：US18050911

申请日：2022-10-28

Applicant: FUJIFILM Corporation

Inventor： Tadashi KASAMATSU ,  Naoko YOSHIDA

IPC: G01N21/95 ,  G01N29/04 ,  G01N33/2045 ,  G01N33/38 ,  G01N27/82

Abstract: Provided are a structure inspection method and a structure inspection system capable of easily detecting an abnormal location and inspecting an internal state of the abnormal location in detail. The structure inspection method includes: a step of capturing a thermal image of a surface of a structure with an infrared camera; a step of detecting a first region estimated to have an internal abnormality, on the basis of the thermal image; and a step of measuring an internal state of the first region in a case where the first region is detected. In the step of measuring the internal state of the first region, the internal state of the first region is measured by capturing an image that visualizes the internal state of the first region using an electromagnetic wave or an ultrasonic wave.

公开(公告)号：US20230040619A1

公开(公告)日：2023-02-09

申请号：US17795126

申请日：2020-01-27

Applicant: Comau S.p.A.

Inventor： Giovanni Di Stefano ,  Nicola Longo

IPC: G01N21/88 ,  G01N33/207 ,  G01N33/2045 ,  B23K31/12

Abstract: A method for analysing the quality of a weld bead in a welding zone using a thermal camera. A thermal image (IMG) of a given area is divided into a plurality of sub-areas each having a respective temperature (Ti). During a learning step, the temperature evolution (Ti(t)) of each sub-area is monitored for different welding conditions. During a training step, the temperature evolutions (Ti(t)) are processed for training a classifier (304). For this purpose, a respective cooling curve is extracted (302) from each temperature evolution (Ti(t)), and parameters (F) are determined that identify the shape of each cooling curve. The parameters (F) are used as input features for the classifier (304). In normal operation the temperature evolution (Ti(t)) of each sub-area (Ai) is monitored and the classifier (304) estimates weld quality (S).