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Author : Edward Nkechi Diei
Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (29 download)
Download or read book Investigation of the Milling Process Using Acoustic Emission Signal Analysis written by Edward Nkechi Diei and published by . This book was released on 1985 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wan Shalamyza Wan Husin
Publisher :
ISBN 13 :
Total Pages : 53 pages
Book Rating : 4.:/5 (953 download)
Download or read book Time Domain Analyis of Acoustic Emissions Signal for Milling Process written by Wan Shalamyza Wan Husin and published by . This book was released on 2012 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is to investigate the machining surface roughness by using acoustic emission (AE) method. The objectives of this project is to acquire AE data of the experiment by operating milling process, to study the correlation of AE parameter with work piece surface roughness (R) and to cluster AE data by using time domain analysis such as global statistical parameter and clustering method for online machining condition monitoring. In order to done this experiment, there is method to be taken. Firstly is the experimental setup. Computational Numerical Control (CNC) milling machine will be use through this project conduct the face milling. Machining parameter set for depth of cut, cutting speed and feed rate. Surface roughness being measure by using perthometer. USBwin for AE Node used for data acquisition. The material used is Hayness 188 alloy and carbide-coated as the cutting tool. Before experiment is started, the AE system need to be tested by using pencil break test to check whether AE system can receive AE signals properly. When lead of pencil break, it will generate as equal as AE signals emit during experiment. For data analysis, AE signal can be cluster based on surface roughness. For clustering analysis, it is related to its signal properties. Method used to cluster the signals is global statistical parameter such as root mean square (RMS), skewnes, kurtosis, peak value and variance. Based on experiment data, the pattern of AE parameter with time domain analysis can be concluded by clustering method. The analysis shows that AE signals data can be cluster by global statistical parameter according to its surface roughness measurement. Between all global statistical parameter, we can see that peak value, RMS and variance can show the significant pattern on clustering. As the project is success, data collected surface roughness monitoring can be made and be used in industry. So, this method can be use as an alternative method in industry to decrease the time used and the cost needed.
Author : DA. Dornfeld
Publisher :
ISBN 13 :
Total Pages : 17 pages
Book Rating : 4.:/5 (125 download)
Download or read book Monitoring of the Machining Process by Means of Acoustic Emission Sensors written by DA. Dornfeld and published by . This book was released on 1991 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research over the last several years has established the effectiveness of acoustic emission (AE) based sensing methodologies for machine condition analysis and process monitoring. Acoustic emission has been proposed and evaluated for a variety of sensing tasks as well as for use as a technique for quantitative studies of manufacturing processes. This paper discusses some of the motivations and requirements for sensing in automated or untended machining processes as well as reviews the research on acoustic emission (AE) sensing of tool condition (wear and fracture) in machining. The background for AE generation in metal cutting and its relationship to the condition of the cutting tool for single and multiple point tools (turning and milling) is presented. Research results will be summarized relating to the sensitivity of AE signals to process changes, AE signal sensitivity to tool condition in turning and milling for wear and fracture, AE signal processing methodologies for feature extraction including time series modeling to remove influences of machining conditions on wear tracking and AE sensor fusion using neural networks for process monitoring with several sensors.
Author : Haslan Mohd Yong
Publisher :
ISBN 13 :
Total Pages : 69 pages
Book Rating : 4.:/5 (953 download)
Download or read book Monitoring Catastrophic Failure Event in Milling Process Using Acoustic Emission written by Haslan Mohd Yong and published by . This book was released on 2010 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research focused on the monitoring catastrophic failure event in milling process using acoustic emission. Acoustic Emission (AE) is a naturally occurring phenomenon whereby external stimuli, such as mechanical loading, generate sources of elastic waves. AE occurs when a small surface displacement of a material is produced. This occurs due to stress waves generated when there is a rapid release of energy in a material, or on its surface. The wave generated by the AE source will be used to stimulate and capture AE in inspection, quality control, system feedback, process monitoring and others. In this thesis, the acoustic emission will be studied by carrying out experiments (milling) on the work piece and determine the material properties also dynamics of machines using acoustic emission detector. There are three cutting speeds and five conditions of depth of cut chosen for the experiments. The depths of cut and cutting speed are generated in the experiments and an acoustic emission sensor detects the acoustic emission signals and transfers it to the acoustic emission software. Then, the software generates the signals into RMS signal. Data taken from the software are plotted into a graph of RMS versus depth of cut. The experiment continued to determine the properties of materials using Inverted Microscopes (IM). Pictures of anomalies of the cutting tool, work piece and chipping have been taken from inverted microscope for observation and compared with acoustic emission graph (RMS). After that, the result of graph and figure are detail explained. Then, conclusion and recommendation has been made. Finally, a stable combination of machining parameter (spindle speed and depth of cut) is proposed and applied during milling process in order to reduce the failures in the milling process.
Author : Lihui Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1846282691
Total Pages : 411 pages
Book Rating : 4.8/5 (462 download)
Download or read book Condition Monitoring and Control for Intelligent Manufacturing written by Lihui Wang and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
Author : E. Kannatey-Asibu
Publisher :
ISBN 13 :
Total Pages : 316 pages
Book Rating : 4.:/5 (29 download)
Download or read book Investigation of the Metal Cutting Process Using Acoustic Emission Signal Analysis written by E. Kannatey-Asibu and published by . This book was released on 1980 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gi Sang Choi
Publisher :
ISBN 13 :
Total Pages : 430 pages
Book Rating : 4.:/5 (33 download)
Download or read book Monitoring and Control of Machining Processes Using Neural Networks written by Gi Sang Choi and published by . This book was released on 1990 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sabbir Sajjad Rangwala
Publisher :
ISBN 13 :
Total Pages : 358 pages
Book Rating : 4.:/5 (7 download)
Download or read book Machining Process Characterization and Intelligent Tool Condition Monitoring Using Acoustic Emission Signal Analysis written by Sabbir Sajjad Rangwala and published by . This book was released on 1988 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Chi-Liang Jiaa
Publisher :
ISBN 13 :
Total Pages : 386 pages
Book Rating : 4.:/5 (7 download)
Download or read book Intelligent Acoustic Emission Sensing in Machining for Tool Condition Monitoring written by Chi-Liang Jiaa and published by . This book was released on 1989 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sabbir Sajjad Rangwala
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (256 download)
Download or read book Machining Process Characterization and Intelligent Tool Condition Monitoring Using Acoustic Emission Signal Analysis written by Sabbir Sajjad Rangwala and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jia-Jay Bill Liu
Publisher :
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.:/5 (33 download)
Download or read book Monitoring the Precision Machining Process written by Jia-Jay Bill Liu and published by . This book was released on 1991 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Haythem Gaja
Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (784 download)
Download or read book Analysis and Modeling of Depth-of-cut During End Milling of Deposited Material written by Haythem Gaja and published by . This book was released on 2011 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This study addresses depth-of-cut detection and tool-workpiece engagement using an acoustic emission monitoring system during milling machining for a deposited material. Online detection of depth-of-cut presents many technical difficulties. Researchers have used various types of sensors and methods to assess the depth-of-cut and surface errors. Due to the strong correlation between acoustic emission and cutting depth during the depth end milling process, it is useful to forecast the depth-of-cut from the acoustic emission signal. This work used regression analysis to model and detect the depth-of-cut. The experiments were carried out on a Fadal vertical 5-Axis computer numerical control machine using a carbide end-mill tool, and a piezoelectric sensor (Kistler 8152B211) was used to acquire the acoustic emission signal. A National Instruments real-time system, combined with a National Instruments LabVIEW graphical development environment, was used as a data acquisition system. A series of experiments were conducted to create a depth-of-cut model. The inputs were used to predict depth-of cut are the identified root mean square of the acoustic emission, spindle speed, feed rate, and tool status. The effects of these inputs were evaluated using a fractional factorial design-of-experiment approach"--Abstract, leaf iii.
Author : Xuemei Chen
Publisher :
ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.:/5 (34 download)
Download or read book Monitoring and Analysis of Ultra-precision Machining Processes Using Acoustic Emission written by Xuemei Chen and published by . This book was released on 1998 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Magd Abdel Wahab
Publisher : Springer Nature
ISBN 13 : 9811598932
Total Pages : 756 pages
Book Rating : 4.8/5 (115 download)
Download or read book Proceedings of the 8th International Conference on Fracture, Fatigue and Wear written by Magd Abdel Wahab and published by Springer Nature. This book was released on 2021-01-12 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings gather a selection of peer-reviewed papers presented at the 8th International Conference on Fracture Fatigue and Wear (FFW 2020), held as a virtual conference on 26–27 August 2020. The contributions, prepared by international scientists and engineers, cover the latest advances in and innovative applications of fracture mechanics, fatigue of materials, tribology, and wear of materials. In addition, they discuss industrial applications and cover theoretical and analytical methods, numerical simulations and experimental techniques. The book is intended for academics, including graduate students and researchers, as well as industrial practitioners working in the areas of fracture fatigue and wear.
Author : Ronnie K. Miller
Publisher :
ISBN 13 :
Total Pages : 630 pages
Book Rating : 4.F/5 ( download)
Download or read book Acoustic Emission Testing written by Ronnie K. Miller and published by . This book was released on 1987 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David A. Dornfeld
Publisher : Springer Science & Business Media
ISBN 13 : 0387682082
Total Pages : 785 pages
Book Rating : 4.3/5 (876 download)
Download or read book Precision Manufacturing written by David A. Dornfeld and published by Springer Science & Business Media. This book was released on 2007-11-22 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Manufacturing provides an introduction to precision engineering for manufacturing. With an emphasis on design and performance of precision machinery for manufacturing – machine tool elements and structure, sources of error, precision machining processes and process models sensors for process monitoring and control, metrology, actuators, and machine design. This book will be of interest to design engineers, quality engineers and manufacturing engineers, academics and those who may or may not have previous experience with precision manufacturing, but want to learn more.
Author : Robert E. Williams
Publisher :
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.:/5 (285 download)
Download or read book Investigation of the Abrasive Flow Machining Process and Development of a Monitoring Strategy Using Acoustic Emission written by Robert E. Williams and published by . This book was released on 1993 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
