Classifying internal defects in forgings based on flaw-detection patterns obtained by ultrasound

Nikitin, V. P.; Korotyshev, I. V.; Artyushov, V. N.; Sinitsyn, E. O.; Kudrin, A. A.

doi:10.1007/s11015-008-9062-7

Cited by 2 publications

(1 citation statement)

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“…The numerical finite element method itself, the simulation of the process of detecting ultrasonic errors of the spindle forging, is performed using software. To classify internal defects in the forging, the authors proposed a method [ 17 ] based on sample detection of errors obtained in ultrasonic tests. The reliability of the method is more than 75%.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Forging Metal Specimens of Different Relative Reductions Using Ultrasonic Waves

2021

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Forgings produced in industry are an irreplaceable basis for subsequent elaborating on machine tools. The quality of the semi-finished product produced by forging is a necessary prerequisite for ensuring the final quality of the final product because the forging can produce some defects. The presented paper is aimed at investigation of selected characteristics of forging steel specimens for various levels of their relative reduction. Ultrasound testing belongs to methods for investigation of structure changes, including defects. Experimental investigation, using both the attenuation and velocity measurements, verify that the reduction of specimens’ material can have an effect on the propagation of ultrasound waves passing through the specimen body. The procedure of steel samples forging corresponds accordingly to the process of their hardening. The increase of toughness after relative reduction of forging in the range of 10–50% is with highest probability caused by the strength matrices development due to the relatively important deformation hardening. It is evident that the deformation hardening is almost the same after every 10% addition of relative reduction. Experiments are supplemented by Barkhausen noise detection and metallographic characteristics of the samples. While differences between the Barkhausen noise values are in principle relatively small and significant differences are only in the values of the position of the envelope, there is maximum coincidence with ultrasonic investigation.

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Section: Introductionmentioning

confidence: 99%

Investigation of Forging Metal Specimens of Different Relative Reductions Using Ultrasonic Waves

2021

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Detection of defects in metallic specimens supported by ultrasound propagation simulations

Rodríguez¹,

Fernández²,

Domíngue³

et al. 2014

Materials Testing

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The main aim of non-destructive testing (NDT) with ultrasounds (US) is the materials defect detection with respect to their main data, i. e. size, shape, and position. Inspectors carry out this task by attention to the reflected signal in the material and by comparison of the signals obtained at a specific defect with those of the defect-free material. In this way, the existence or absence of heterogeneities to be attributed to a specific defect can be determined. Inspectors are trained using specimens of the same material in which artificial defects are created, in order to establish a hypothetical appearance as natural defects. Such to be tested material specimens can be really expensive, and the total cost is particularly increased by the defect incorporation with the main scope to create the ideal size defects. The main purpose of this study is the detection of defects in metallic specimens by simulation of ultrasonic propagation in order to reduce the high cost of ultrasound protocol tests by comparing simulated and experimental results. It turned out that the good correlation between both methods allows using ultrasonic simulation as training method.

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Classifying internal defects in forgings based on flaw-detection patterns obtained by ultrasound

Cited by 2 publications

References 0 publications

Investigation of Forging Metal Specimens of Different Relative Reductions Using Ultrasonic Waves

Investigation of Forging Metal Specimens of Different Relative Reductions Using Ultrasonic Waves

Detection of defects in metallic specimens supported by ultrasound propagation simulations

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