Abstract

Today, the demand for continuous monitoring of valuable or safety critical equipment is increasing in many industrial applications due to safety and economical requirements. Therefore, reliable in-situ measurement techniques are required for instance in Structural Health Monitoring (SHM) as well as process monitoring and control. Here, current challenges are related to the processing of sensor data with a high data rate and low latency. In particular, measurement and analyses of Acoustic Emission (AE) are widely used for passive, in-situ inspection. Advantages of AE are related to its sensitivity to different micro-mechanical mechanisms on the material level. However, online processing of AE waveforms is computationally demanding. The related equipment is typically bulky, expensive, and not well suited for permanent installation. The contribution of this paper is the development of a Field Programmable Gate Array (FPGA)-based measurement system using ZedBoard devlopment kit with Zynq-7000 system on chip for embedded implementation of suitable online processing algorithms. This platform comprises a dual-core Advanced Reduced Instruction Set Computer Machine (ARM) architecture running a Linux operating system and FPGA fabric. A FPGA-based hardware implementation of the discrete wavelet transform is realized to accelerate processing the AE measurements. Key features of the system are low cost, small form factor, and low energy consumption, which makes it suitable to serve as field-deployed measurement and control device. For verification of the functionality, a novel automatically realized adjustment of the working distance during pulsed laser ablation in liquids is established as an example. A sample rate of 5 MHz is achieved at 16 bit resolution.

Highlights

  • In many industries, the need for optimal use of equipment and resources is driving the development of new technologies

  • To demonstrate the capabilities of the newly developed system for Acoustic Emission (AE) measurements and signal processing, experimental results of the application to Pulsed Laser Ablation in Liquids (PLAL) are presented

  • Promising results have been reported in different applications such as process monitoring and control, where AE

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Summary

Introduction

The need for optimal use of equipment and resources is driving the development of new technologies. Pulsed Laser Ablation in Liquids (PLAL) is a process for synthesis of nanoparticles from different materials. Sensors 2018, 18, 1775 at a suitable Working Distance (WD) close to the focal point of the laser is crucial to achieve high productivity of PLAL. Zhu et al [1] established a correlation between material ablation rate and audible acoustic waves (sound) using wideband microphone. This idea is used in this paper to implement an automatic positioning algorithm to improve productivity of PLAL.

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