The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
David Dornfeld - One of the best experts on this subject based on the ideXlab platform.
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advanced monitoring of Machining Operations
Cirp Annals-manufacturing Technology, 2010Co-Authors: Roberto Teti, Krzysztof Jemielniak, Garret E Odonnell, David DornfeldAbstract:CIRP has had a long history of research and publication on the development and implementation of sensor monitoring of Machining Operations including tool condition monitoring, unmanned Machining, process control and, more recently, advanced topics in Machining monitoring, innovative signal processing, sensor fusion and related applications. This keynote follows a recent update of the literature on tool condition monitoring and documents the work of the cutting scientific technical committee in CIRP. The paper reviews the past contributions of CIRP in these areas and provides an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring. Application examples to industrial processes including reconfigurable sensor systems are reported. Future challenges and trends in sensor based Machining Operation monitoring are presented.
Hasan Ozturk - One of the best experts on this subject based on the ideXlab platform.
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tool condition monitoring in milling using vibration analysis
International Journal of Production Research, 2007Co-Authors: Isa Yesilyurt, Hasan OzturkAbstract:Monitoring the condition of cutting tools in any Machining Operation is very important to avoid unexpected Machining trouble and improve Machining accuracy. This paper presents the use of vibration analysis of the cutting process in milling to indicate the presence and progression of damage incurred by an end mill. The metal cutting experiments were performed on a mild steel workpiece without using any coolant to accelerate damage to cutter, and classical processing schemes in time and frequency domains were applied to the resulting vibrations of cutting process to obtain diagnostic information. Moreover, developing fault features were also illustrated using both scalogram and its mean frequency variation. It has been found that scalogram and its mean frequency are both capable of revealing the features of not only localized, but progressive fault more clearly in the presence of strong noise than conventional time and frequency domain analyses. Furthermore, the global average of the mean frequency variati...
Hamidreza Namazi - One of the best experts on this subject based on the ideXlab platform.
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complexity based analysis of the influence of Machining parameters on the surface finish of drilled holes in drilling Operation
Fractals, 2019Co-Authors: Ashfaq Ahamed, Athif Ahamed, Dilan Katuwawala, Zi Han Tan, Ishwin Singh Bajaj, Thejan Wickramasurendra, Hamidreza NamaziAbstract:Drilling is a famous and widely used Machining Operation to make holes in the workpiece. The size and surface quality of drilled hole are two factors that should be considered mainly. In this resea...
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fractal based analysis of the effect of Machining parameters on surface finish of workpiece in turning Operation
Fractals, 2019Co-Authors: Geevin Jithmal Pathiranagama, Hamidreza NamaziAbstract:Analysis of workpiece surface quality is one of the major issues in manufacturing engineering. Turning Operation is a famous Machining Operation that is widely used in Machining of materials. In th...
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analysis of the correlation between fractal structure of cutting force signal and surface roughness of machined workpiece in end milling Operation
Fractals, 2019Co-Authors: Ahmad Thuffail Thasthakeer, Ali Akhavan Farid, Chang Teck Seng, Hamidreza NamaziAbstract:Analysis of the machined surface is one of the major issues in Machining Operations. On the other hand, investigating about the variations of cutting forces in Machining Operation has great importa...
Roberto Teti - One of the best experts on this subject based on the ideXlab platform.
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advanced monitoring of Machining Operations
Cirp Annals-manufacturing Technology, 2010Co-Authors: Roberto Teti, Krzysztof Jemielniak, Garret E Odonnell, David DornfeldAbstract:CIRP has had a long history of research and publication on the development and implementation of sensor monitoring of Machining Operations including tool condition monitoring, unmanned Machining, process control and, more recently, advanced topics in Machining monitoring, innovative signal processing, sensor fusion and related applications. This keynote follows a recent update of the literature on tool condition monitoring and documents the work of the cutting scientific technical committee in CIRP. The paper reviews the past contributions of CIRP in these areas and provides an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring. Application examples to industrial processes including reconfigurable sensor systems are reported. Future challenges and trends in sensor based Machining Operation monitoring are presented.
Isa Yesilyurt - One of the best experts on this subject based on the ideXlab platform.
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tool condition monitoring in milling using vibration analysis
International Journal of Production Research, 2007Co-Authors: Isa Yesilyurt, Hasan OzturkAbstract:Monitoring the condition of cutting tools in any Machining Operation is very important to avoid unexpected Machining trouble and improve Machining accuracy. This paper presents the use of vibration analysis of the cutting process in milling to indicate the presence and progression of damage incurred by an end mill. The metal cutting experiments were performed on a mild steel workpiece without using any coolant to accelerate damage to cutter, and classical processing schemes in time and frequency domains were applied to the resulting vibrations of cutting process to obtain diagnostic information. Moreover, developing fault features were also illustrated using both scalogram and its mean frequency variation. It has been found that scalogram and its mean frequency are both capable of revealing the features of not only localized, but progressive fault more clearly in the presence of strong noise than conventional time and frequency domain analyses. Furthermore, the global average of the mean frequency variati...
