Schmoeller et al., 2021 - Google Patents
A novel approach to the holistic 3D characterization of weld seams—Paving the way for deep learning-based process monitoringSchmoeller et al., 2021
View HTML- Document ID
- 2357353956781795425
- Author
- Schmoeller M
- Stadter C
- Kick M
- Geiger C
- Zaeh M
- Publication year
- Publication venue
- Materials
External Links
Snippet
In an industrial environment, the quality assurance of weld seams requires extensive efforts. The most commonly used methods for that are expensive and time-consuming destructive tests, since quality assurance procedures are difficult to integrate into production processes …
- 238000000034 method 0 title abstract description 117
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material and forming a picture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/06—Visualisation of the interior, e.g. acoustic microscopy
- G01N29/0654—Imaging
- G01N29/069—Defect imaging, localisation and sizing using, e.g. time of flight diffraction [TOFD], synthetic aperture focusing technique [SAFT], Amplituden-Laufzeit-Ortskurven [ALOK] technique
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/22—Details, e.g. general constructional or apparatus details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Cunha et al. | In situ monitoring of additive manufacturing using digital image correlation: A review | |
Huang et al. | A laser-based vision system for weld quality inspection | |
Yu et al. | Detection of internal holes in additive manufactured Ti-6Al-4V part using laser ultrasonic testing | |
Arvieu et al. | Relative density of SLM-produced aluminum alloy parts: Interpretation of results | |
Sabry et al. | Friction stir welding of T-joints: Experimental and statistical analysis | |
Serio et al. | Effect of friction stir process parameters on the mechanical and thermal behavior of 5754-H111 aluminum plates | |
Gong et al. | Micro-CT evaluation of defects in Ti-6Al-4V parts fabricated by metal additive manufacturing | |
De Filippis et al. | Optimization and characterization of the Friction Stir Welded Sheets of AA 5754-H111: Monitoring of the quality of joints with thermographic techniques | |
Harbig et al. | Methodology to determine melt pool anomalies in powder bed fusion of metals using a laser beam by means of process monitoring and sensor data fusion | |
Liu et al. | Experimental investigation on the residual stresses in a thick joint with a partial repair weld using multiple-cut contour method | |
Dattoma et al. | Advanced NDT methods and data processing on industrial CFRP components | |
Aminzadeh et al. | A survey of process monitoring using computer-aided inspection in laser-welded blanks of light metals based on the digital twins concept | |
AbuShanab et al. | Detection of friction stir welding defects of AA1060 aluminum alloy using specific damping capacity | |
Wieczorowski et al. | Characterization of 5356 aluminum walls produced by wire arc additive manufacturing (WAAM) | |
Schwerz et al. | Linking in situ melt pool monitoring to melt pool size distributions and internal flaws in laser powder bed fusion | |
Hou et al. | Online monitoring technology of metal powder bed fusion processes: A review | |
Sales et al. | Improvement of the fatigue resistance of super duplex stainless-steel (SDSS) components fabricated by wire arc additive manufacturing (WAAM) | |
Błachnio et al. | Exemplification of detecting gas turbine blade structure defects using the X-ray computed tomography method | |
Giri et al. | Inspection of metal and concrete specimens using imaging system with laser displacement sensor | |
Geng et al. | Nondestructive surface crack detection of laser-repaired components by laser scanning thermography | |
Arnold et al. | Electron-optical in situ imaging for the assessment of accuracy in electron beam powder bed fusion | |
Ibarra-Castanedo et al. | Detection and characterization of artificial porosity and impact damage in aerospace carbon fiber composites by pulsed and line scan thermography | |
Gądek-Moszczak et al. | Nano X-ray Tomography Application for Quantitative Surface Layer Geometry Analysis after Laser Beam Modification | |
Schmoeller et al. | A novel approach to the holistic 3D characterization of weld seams—Paving the way for deep learning-based process monitoring | |
Lee et al. | Theoretical model of self-magnetic flux leakage and its application in estimating the depth direction of a fatigue crack |