METALLIC MATERIAL CHARACTERIZATION USING ACOUSTICS SIGNAL ANALYSIS

2016 ◽  
Vol 78 (6-10) ◽  
Author(s):  
Mohd Sani Ahmad ◽  
Mohd Zaki Nuawi ◽  
Alias Othman ◽  
Muhamad Arif Fadli Ahmad

Characterization of material properties is a vital aspect in engineering structural design as it practically use as a mechanical component. Nonetheless with such application, the component is highly vulnerable to failed under active loading condition. To prevent such failure, a reliable test to characterize the in-service structural component and its material properties is highly sought by manufacturing industries. This study is based on non-destructive testing by implementing the acoustics signals to describe the relationship of metallic material properties. Experimental procedure accordance to ASTM 1876 standards was carried out by using an impact hammer within specific range of impact force and acted to the specimens. Four types of materials were used in the study, such as medium carbon steel S50C, stainless steel AISI 304, cast iron FCD 500, and brass. The measurement process involves two types of observation data signal which were acoustic signal and impact force. Subsequently, microphone and an impact hammer were used for data acquisition signals. Acoustic signals are then filtered and analyzed using two methods, namely Integrated Kurtosis based Algorithm for Z-notch filter (I-kazTM) and Mesokurtosis Zonal Nonparametric (M-Z-N). The experimental curves obtained by the determination of I-kazTM coefficient and M-Z-N coefficient for various impact forces and metallic materials found that the results were statistically significant and can be successfully used for determining the correlation between the characteristic of the curves and the relevant elastic properties of the metallic materials. Apparently, experimental test of this analysis method on four metallic materials showed a good agreement between the quadratic coefficients with the metallic materials properties.

2014 ◽  
Vol 894 ◽  
pp. 186-191
Author(s):  
Mohd Zaki Nuawi ◽  
Abdul Rahim Bahari ◽  
Shahrum Abdullah ◽  
Ahmad Kamal Ariffin

This paper presents an alternative statistical signal analysis method to characterise and determine Youngs modulus property of metallic materials. For this characterisation purpose, we propose an alternative method called Integrated Kurtosis-based Algorithm for Z-notch filter (I-kazTM) and Mesokurtosis Zonal Nonparametric (M-Z-N). Impulsive excitation test has been performed according to ASTM E1876 on three metallic materials of medium carbon steel S50C, stainless steel AISI 304 and brass to measure the piezoelectric and acoustic signals. The transient acoustic signal has been analysed using M-Z-N analysis while I-kazTM has been used to analyse the impulsive piezoelectric signal. Correlation expression between Youngs modulus property and the calculated statistical parameters has been discussed and the accuracy of these two methods has been identified using cast iron FCD 500 specimen.


2015 ◽  
Vol 751 ◽  
pp. 131-136
Author(s):  
Jie Tang ◽  
Mao Cheng ◽  
Guo Gen Huang ◽  
Hong Shu ◽  
Hui Ting Xu

In this paper, research on a testing method of indentation test proposed by F M Haggag is discussed first, and the experimental testing research on metallic material properties with strain aging is carried out and discussed using indentation test. The authors proposed to use indentation test to measure the properties of metallic materials with strain aging embrittlement based on experimental verification. And it provides a possibility to measure the properties of metallic materials with strain aging using nondestructive testing method.


2014 ◽  
Vol 663 ◽  
pp. 447-452
Author(s):  
Mohd Zaki Nuawi ◽  
Abdul Rahim Bahari ◽  
Shahrum Abdullah ◽  
Ahmad Kamal Ariffin Mohd Ihsan ◽  
Fauziana Lamin

Material play an important role in engineering design and the characterisation of material property has become an essential requirement for their successful application as structural elements. In this paper, the development of material property characterisation method has been presented. Impulsive excitation test has been performed on rectangular bars (medium carbon steel S50C, cast iron FCD 500, stainless steel AISI 304and brass). The transient vibro-acoustic signals generated during the excitation test have been captured using data acquisition system consist of accelerometer-microphone combination. A new method for reducing the noise components from the recorded signals is introduced by an extensive process of a new Z-stem filtering technique. The filtered signals have been analysed using an alternative statistical method known as Integrated Kurtosis-based Algorithm for Z-notch filter (I-kazTM) to determine the pattern of the signal and to estimate the significance differences among those materials. The representation of the experimental curves obtained by the determination of I-kaz coefficient, Z∞ for various impact forces and materials revealed that the results are statistically significant and can be successfully used for determining the correlation between the curves and material property. Implications of this research to material property characterisation will be discussed.


2020 ◽  
Vol 9 (1) ◽  
pp. 700-715 ◽  
Author(s):  
Wei Jian ◽  
David Hui ◽  
Denvid Lau

AbstractRecent advances in biomedicine largely rely on the development in nanoengineering. As the access to unique properties in biomaterials is not readily available from traditional techniques, the nanoengineering becomes an effective approach for research and development, by which the performance as well as the functionalities of biomaterials has been greatly improved and enriched. This review focuses on the main materials used in biomedicine, including metallic materials, polymers, and nanocomposites, as well as the major applications of nanoengineering in developing biomedical treatments and techniques. Research that provides an in-depth understanding of material properties and efficient enhancement of material performance using molecular dynamics simulations from the nanoengineering perspective are discussed. The advanced techniques which facilitate nanoengineering in biomedical applications are also presented to inspire further improvement in the future. Furthermore, the potential challenges of nanoengineering in biomedicine are evaluated by summarizing concerned issues and possible solutions.


2021 ◽  
Vol 36 (5) ◽  
pp. 557-563
Author(s):  
A. G. Toroslu

Abstract Recycling of plastic materials has become more environmentally important than recycling of other materials. The most important problem during recycling is the presence of oil, dirt, dust and metal particles that are mixed with plastic materials. These mixtures can change their its mechanical and physical properties and it is quite costly to remove them completely. Removing iron alloy particles from plastic is possible by using the magnetic method. However, removing non-metallic materials requires extra processing. In this study, the use of recycled High-Density Polyethylene (rHDPE) without an expensive cleaning processes has been investigated. Different amounts of aluminium oxide (Al2O3) were added to High Density Polyethylene (HDPE) to simulate the effect of non-metallic material involved. The effect of these contamination rates on the mechanical and physical properties of HDPE was examined in detail. For this purpose, recyclable materials were produced by mixing rHDPE with 1%, to 7% Al2O3 . The results show that up to 7% of the mixture has acceptable effects on the properties of HDPE. When the results of the experiments are examined, it is observed that there is a 3.74% change in the elastic modulus of the material. This means, that up to 7% non-metal contaminated rHDPE material can be used without any costly recycling process.


2016 ◽  
Vol 31 (4) ◽  
pp. 360-370 ◽  
Author(s):  
Sohaib Z. Khan ◽  
Tariq M. Khan ◽  
Yasir F. Joya ◽  
Muhammad A. Khan ◽  
Sarah Ahmed ◽  
...  

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