Utilizing Hilbert–Huang transform in detection some of mechanical properties of the refractory metals

Mohammed, Arshed Abdulhamed; Haris, Sallehuddin Mohamed; Nuawi, Mohd. Zaki

doi:10.1016/j.ymssp.2015.07.024

Cited by 10 publications

(6 citation statements)

References 37 publications

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“…Wavelet transform allowed finding material damage in civil infrastructures [18,19] or in wind blades [20], as well as detecting low speed bearing failure [21]. Hilbert-Huang Transform (HHT) has also been used for determining the mechanical properties of refractory materials [22]. As for machining processes, HHT has been applied to detect tool breakage [23,24] and chatter [25,26].…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission analysis for the detection of appropriate cutting operations in honing processes

Buj-Corral

Alvarez-Florez

Domínguez-Fernández

2018

Mechanical Systems and Signal Processing

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In the present paper, acoustic emission was studied in honing experiments obtained with different abrasive densities, 15, 30, 45 and 60. In addition, 2D and 3D roughness, material removal rate and tool wear were determined. In order to treat the sound signal emitted during the machining process, two methods of analysis were compared: Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). When density 15 is used, the number of cutting grains is insufficient to provide correct cutting, while clogging appears with densities 45 and 60. The results were confirmed by means of treatment of the sound signal. In addition, a new parameter S was defined as the relationship between energy in low and high frequencies contained within the emitted sound. The selected density of 30 corresponds to S values between 0.1 and 1. Correct cutting operations in honing processes are dependent on the density of the abrasive employed. The density value to be used can be selected by means of measurement and analysis of acoustic emissions during the honing operation. Thus, honing processes can be monitored without needing to stop the process.

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Section: Introductionmentioning

confidence: 99%

Acoustic emission analysis for the detection of appropriate cutting operations in honing processes

Buj-Corral

Alvarez-Florez

Domínguez-Fernández

2018

Mechanical Systems and Signal Processing

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“…Figure 10 illustrates the difference between the proposed method by Arshed et al and the TOF method represented by one of the OLYMPUS company products, 38DL PLUS, that uses this technique. Recently, the authors in [94] used the same setup as [92,93], which includes two piezoelectric transducers, one as emitter and the other as receiver, to calculate E but this time by using a Hilbert Huang transformer…”

Section: Figurementioning

confidence: 99%

“…The specimen strain was measured using an interferometric strain/displacement gage. Recently, the authors in [94] used the same setup as [92,93], which includes two piezoelectric transducers, one as emitter and the other as receiver, to calculate E but this time by using a Hilbert Huang transformer…”

Section: Poisson's Ratiomentioning

confidence: 99%

Role of Piezoelectric Elements in Finding the Mechanical Properties of Solid Industrial Materials

Mohammed

Haris²,

Nuawi³

2018

Applied Sciences

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Recent developments in ultrasonic material testing have increased the need to evaluate the current status of the different applications of piezoelectric elements (PEs). This research have reviewed state-of-the-art emerging new technology and the role of PEs in tests for a number of mechanical properties, such as creep, fracture toughness, hardness, and impact toughness, among others. In this field, importance is given to the following variables, namely, (a) values of the natural frequency to PEs, (b) type and dimensions of specimens, and (c) purpose of the tests. All these variables are listed in three tables to illustrate the nature of their differences in these kinds of tests. Furthermore, recent achievements in this field are emphasized in addition to the many important studies that highlight the role of PEs.

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“…It is worth mentioning that, many of the offered devices in the global markets that used acoustic waves techniques such as 38DL PLUS 23 , 58-E4800, MATEST (C372M)… etc., still use E D equation in finding some of the mechanical properties such as E, ν and other several mechanical properties for solid industry materials. This because these devices give correct results for normal materials such as Al, Fe, Zn.etc., however, for metals such as refractory metals, the results are incorrect 22 . Mohammed et al 24 succeeded in the calculation of the E for many metals and alloys, through finding a relationship between E × ρ and the pressure transmitted coefficient.…”

mentioning

confidence: 99%

“…In the same context, many other published papers focused on this difference [16][17][18][19][20][21] . Mohammed et al 22 reported that the refractory metals have body force, therefore the equation of E D cannot be used in the calculation of the modulus of elasticity because this equation neglected the term of body forces in the origin of this equation, where the origin of this equation is Navier governing equation. It is worth mentioning that, many of the offered devices in the global markets that used acoustic waves techniques such as 38DL PLUS 23 , 58-E4800, MATEST (C372M)… etc., still use E D equation in finding some of the mechanical properties such as E, ν and other several mechanical properties for solid industry materials.…”

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confidence: 99%

Estimation of the ultimate tensile strength and yield strength for the pure metals and alloys by using the acoustic wave properties

Mohammed

Haris

Azzawi

2020

Sci Rep

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in this paper, the acoustic impedance property has been employed to predict the ultimate tensile strength (UtS) and yield strength (YS) of pure metals and alloys. novel algorithms were developed, depending on three experimentally measured parameters, and programmed in a MAtLAB code. the measured parameters are longitudinal wave velocity of the metal, density, and crystal structure. 19-samples were considered in the study and divided into 3-groups according to their crystal structure; 7-FCC, 6-BCC, and 6-HCB. X-ray diffraction was used to examine the crystal structure of each sample of each group, while longitudinal wave velocity and metals' density were measured experimentally. A comparison between mechanical properties predicted by the model and the AStM standards was done to investigate the validity of the model. furthermore, predicted stress-strain curves were compared with corresponding curves in the pieces literature as an additional validation check. the results revealed the excellence of the model with 85-99% prediction accuracy. The study also proved that if metals are grouped according to their crystal structure, a relation between UtS, YS, and modulus of elasticity (E) properties and wave pressure transmission coefficient (Tr) could be formulated. In recent years, many studies tried to estimate the yield stress (YS) and ultimate tensile strength (UTS) of metals and alloys without using tensile tests 1,2. succeeded in test YS and UTS, for steel alloys only by using a small punch test. Also, Palkovic et al. 3 evaluated YS and toughness for steel pipelines by using non-destructive evaluation. Kancaa et al. 4 used genetic expression programming to predict YS and UTS for cold-rolled steel. All these studies and others remained limited in steel and its alloys. In another hand, many resources focused on the tensile resistance of materials and any other material properties related to this resistance. The tensile resistance of any material, such as the fabric or any other material at room temperature depends on two things. The first is the type of material made from, and the other is the shape of the spun of this material 5,6. The same thing is for the pure metals, where the resistance of the metals depends on the crystal structure and some of the mechanical properties. In fact, the crystal structure and grain boundary types play a decisive role in the distinct slip mode of crystalline materials 7 ; therefore it has an essential role in micro deformation mode. Many studies such as 8,9 focused on the effect of microstructure grain sizes on the flow of stress to explain the mechanism of deformation during the tensile test, therefore Tanga et al. 8 used pure metals such as Fe, Cu, and Ti to illustration this mechanism. This study provides another point of view to study and draw the behavior of pure metals and alloys, where, it focused on crystal structure as a parameter of grain size and grain boundary types then related it with acoustic impedance (Z = ρ × C L), Ys and UTS. On the other hand, the important properti...

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Utilizing Hilbert–Huang transform in detection some of mechanical properties of the refractory metals

Cited by 10 publications

References 37 publications

Acoustic emission analysis for the detection of appropriate cutting operations in honing processes

Acoustic emission analysis for the detection of appropriate cutting operations in honing processes

Role of Piezoelectric Elements in Finding the Mechanical Properties of Solid Industrial Materials

Estimation of the ultimate tensile strength and yield strength for the pure metals and alloys by using the acoustic wave properties

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