scholarly journals A Novel Ultrasound Technique Based on Piezoelectric Diaphragms Applied to Material Removal Monitoring in the Grinding Process

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3932 ◽  
Author(s):  
Felipe A. Alexandre ◽  
Paulo R. Aguiar ◽  
Reinaldo Götz ◽  
Martin Antonio Aulestia Viera ◽  
Thiago Glissoi Lopes ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Material Removal ◽  
Low Cost ◽  
Digital Signal ◽  
Ultrasonic Waves ◽  
Grinding Process ◽  
Ultrasound Technique ◽  
Ultrasound Monitoring ◽  
Wide Range

The interest of the scientific community for ultrasound techniques has increased in recent years due to its wide range of applications. A continuous effort of researchers and industries has been made in order to improve and increase the applicability of non-destructive evaluations (NDE). In this context, the monitoring of manufacturing processes, such as the grinding process, arises. This work proposes a novel technique of ultrasound monitoring (chirp-through-transmission) through low-cost piezoelectric diaphragms and digital signal processing. The proposed technique was applied to the monitoring of material removal during the grinding process. The technique is based on changes in ultrasonic waves when propagated through the material under study, with the difference that this technique does not use traditional parameters of ultrasonic techniques but digital signal processing (RMS and Counts). Furthermore, the novelty of the proposed technique is also the use of low-cost piezoelectric diaphragms in the emission and reception of ultrasonic waves, enabling the implementation of a low-cost monitoring system. The results show that the monitoring technique proposed in this work, when used in conjunction with the frequency band selection, is sensitive to the material removal in the grinding process and therefore presents an advance for monitoring the grinding processes.

scholarly journals Emitter-Receiver Piezoelectric Transducers Applied in Monitoring Material Removal of Workpiece during Grinding Process

Proceedings ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 9 ◽  
Author(s):  
Felipe Alexandre ◽  
Paulo de Aguiar ◽  
Reinaldo Götz ◽  
Martin Aulestia Viera ◽  
Thiago Lopes ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Material Removal ◽  
Digital Signal ◽  
Piezoelectric Transducers ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Workpiece Material ◽  
Grinding Machine ◽  
Finishing Processes

Grinding is one of the most commonly used finishing processes in the manufacture of precision components that also needs to be monitored. Monitoring of the workpiece surface quality is considered highly complex due to particularities of the cutting tool and material removal mechanism. In this context, the monitoring of the grinding process is very important for the metalworking industry and a topic of great interest for machining researchers. Many studies on grinding process monitoring have been developed and most of them focus on process automation. The objective of this work is to monitor the workpiece material removal during grinding by using piezoelectric transducers in the emitter and receiver modes along with digital signal-processing techniques. Tests were performed on a peripheral surface grinding machine equipped with an aluminum oxide grinding wheel. The SAE 4340 steel grade was used as workpiece material. The transducer signals were sampled at a sampling frequency of 2 MHz. The digital signal processing was performed through spectrum analysis and the application of techniques such as root mean square. The mass of the workpieces was measured by means of a digital scale prior to and after grinding tests. The number of grinding passes was varied in order to increase the material removal. The results show that the monitoring technique proposed in this work is sensitive to the material removal in the grinding process. The appropriate selection of frequency bands allows for the best diagnosis in relation to the events that occur during the grinding process.

Multidisciplinary in Cryptology

2014 ◽  
pp. 1-28
Author(s):  
Sattar B. Sadkhan Al Maliky ◽  
Nidaa A. Abbas
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Complexity Theory ◽  
Finite Groups ◽  
General Structure ◽  
Digital Signal ◽  
Computer Engineering ◽  
Control Engineering ◽  
Wide Range ◽  
Subject Areas

To reach the high depths of knowledge and expertise that are required nowadays, scientists focus their attention on minute areas of study. However, the most complex problems faced by scientists still need the application of different disciplines to tackle them, which creates a necessity for multi-disciplinary collaboration. Cryptology is naturally a multidisciplinary field, drawing techniques from a wide range of disciplines and connections to many different subject areas. In recent years, the connection between algebra and cryptography has tightened, and established computational problems and techniques have been supplemented by interesting new approaches and ideas. Cryptographic engineering is a complicated, multidisciplinary field. It encompasses mathematics (algebra, finite groups, rings, and fields), probability and statistics, computer engineering (hardware design, ASIC, embedded systems, FPGAs), and computer science (algorithms, complexity theory, software design), control engineering, digital signal processing, physics, chemistry, and others. This chapter provides an introduction to the disciplinary, multidisciplinary, and their general structure (interdisciplinary, trans-disciplinary, and cross-disciplinary). And it also gives an introduction to the applications of the multidisciplinary approaches to some of the cryptology fields. In addition, the chapter provides some facts about the importance of the suitability and of the multidisciplinary approaches in different scientific, academic, and technical applications.

Real-Time Digital Signal Processing-Based Algorithm for Universal Software Radio Peripheral to Detect GPS Signal

2019 ◽  
pp. 241-254
Author(s):  
Ehsan Sheybani
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Real Time ◽  
Communication Systems ◽  
Low Cost ◽  
Software Radio ◽  
Digital Signal ◽  
Gps Satellites ◽  
Rf Communication ◽  
Universal Software Radio Peripheral

Software-defined radios (SDR) are gradually becoming a practical option for implementing RF communication systems due to their low cost, off-the-shelf availability, and flexibility. Although the analog limitations of the hardware devices in these systems create barriers to some applications, creative algorithms in digital signal processing (DSP) can improve the results. In some cases, this improvement is essential to establishing a robust and reliable communication. The universal software radio peripheral (USRP) is a popular hardware that can be used alongside the SDR. Among many capabilities of USRP and its changeable daughter boards is receiving GPS signals. The GPS satellites transmit data on two main frequencies, L1 (1575.42 MHz) and L2 (1227.60 MHz). In this chapter, the focus is on describing a detailed implementation of the real-time DSP-based algorithm for USRP to detect GPS signal, namely the L1 band that transmits at 1575.42 MHz.

scholarly journals Review Paper on Innovation of Advanced Noise Reduction Technique for Better Audibility Process

2021 ◽  
Vol 9 (11) ◽  
pp. 2025-2028
Author(s):  
Dr. Anita Pati
Keyword(s):  
Signal Processing ◽  
Hearing Loss ◽  
Digital Signal Processing ◽  
Noise Reduction ◽  
Hearing Aid ◽  
Low Cost ◽  
Digital Signal ◽  
Signal Processing Algorithm ◽  
Main Complaint ◽  
The People

Abstract: Now a days there are many people affected by hearing loss that make them disabled as they cannot communicate properly .The main complaint of people with hearing loss is low ability to deduce speech in a noisy environment. Hearing aid is a delicate instrument, which can acquire, process and feedback realistic signal in real time. In this matter various apparent opposition matching algorithm, various filtering methods, digital signal processing algorithm and echo cancellation are developed and implemented. The purpose of this object is to develop the digital signal processing based platform for digital hearing aid technique, which is for the people with hearing impairment using the low cost fuzzy orange pi model. To Perform this Application fuzzy algorithm is used which is quite easy to implement and required less operative computation. The algorithms are performed using MATLAB language which gives the best clarity and simulated functionality over MATLAB. Keywords: Speech Recognition, Noise Reduction, SNR, Fuzzy Masking Technique

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