Design and Development of Signal Conditioning Unit for Acquisition of Acoustic Emission Signal for Metallic Materials

被引:0
作者
Chandan K. Bhagat
C. K. Mukhopadhyay
B. Purna Chandra Rao
机构
[1] IGCAR,Non Destructive Evaluation Division
[2] HBNI,undefined
来源
Transactions of the Indian Institute of Metals | 2018年 / 71卷
关键词
Non-destructive testing; Signal conditioning; Transducer; Amplifier; Filter; Signal processing; Acoustic emission;
D O I
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中图分类号
学科分类号
摘要
This paper presents the details of design and development of a signal conditioning unit (SCU) for the acquisition of acoustic emission (AE) signals from metallic materials. Acoustic emission is the phenomenon of sound wave generation in materials undergoing deformation and fracture processes. The proposed SCU is a basic building block employed to interface a wide range of sensor signals to provide an optimal level for the next stage processing and to analyze. The piezoelectric sensor is used for the detection of AE signals in this development. An integrated prototype SCU has been fabricated, assembled and validated in the laboratory by acquiring AE signals generated during pencil lead break tests on a stainless steel plate. The performance of the in-house developed SCU has been compared with the commercially available one, and the results are presented in this paper.
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页码:1913 / 1918
页数:5
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  • [1] Theobald P(2006)Amod Kumar, and Murthy V M Advanced Materials Research. 91–98 13-14
  • [2] Dar F(2010)Lien D -H Journal of the Geological Society of India 75 533-538
  • [3] Sharma BK(2016)Signal conditioning for GMR magnetic sensors applied to traffic speed monitoring GMR sensors Brooks G A, Davis R W and Javey A, Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis, Nature 529 509-235
  • [4] Gao W(2007)Electronic interface for the accurate read-out of resistive sensors in low voltage-low power integrated systems Sens. Actuators A 137 230-126
  • [5] Emaminejad S(2005)Development of an intelligent pressure measuring technique for bellows using radial basis function neural network Sens. Actuators A 117 121-248
  • [6] Nyein HYY(2016)A new way to find dielectric properties of liquid sample using the quartz crystal resonator (QCR) Sens. Actuators A238 240-160
  • [7] Challa S(2016)Direct interface circuit for capacitive humidity sensors Sens. Actuators A 239 153-322
  • [8] Chen K(2008)Environmental parameter monitoring using wireless sensor network Sens. Actuators A 143 315-471
  • [9] Peck A(2013)A low power and high resolution data logger for submarine seismic monitoring, Smart sensors and MEMS Instrum. Exp. Tech. 56 468-72
  • [10] Fahad HM(2010)Digitally assisted analog circuits Microprocess. Microsyst. 34 63-47