The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hamidreza Namazi - One of the best experts on this subject based on the ideXlab platform.
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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...
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fractal based analysis of the influence of cutting depth on complex structure of cutting Forces in rough end milling
Fractals, 2018Co-Authors: Hamidreza Namazi, Ali Akhavan Farid, Chang Teck SengAbstract:Analysis of the cutting Forces during machining operations is an important issue. The rough end mill with the serrated profile is broadly used for reduction of cutting Forces during milling operation. Since cutting Force changes in random behavior during end milling, in this paper we employ fractal theory to analyze the complex structure of cutting Force Signal. For this purpose, we investigated the influence of variations of cutting depth on variations of fractal structure of cutting Forces in wet and dry machining conditions. The results of our analysis showed the variations of fractal structure of cutting Forces between different cutting depths, in wet and dry conditions. The employed methodology in this research is not limited to rough end milling and can potentially be applied to other types of machining operations, where the variations of cutting Forces is an important issue.
Chang Teck Seng - One of the best experts on this subject based on the ideXlab platform.
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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...
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fractal based analysis of the influence of cutting depth on complex structure of cutting Forces in rough end milling
Fractals, 2018Co-Authors: Hamidreza Namazi, Ali Akhavan Farid, Chang Teck SengAbstract:Analysis of the cutting Forces during machining operations is an important issue. The rough end mill with the serrated profile is broadly used for reduction of cutting Forces during milling operation. Since cutting Force changes in random behavior during end milling, in this paper we employ fractal theory to analyze the complex structure of cutting Force Signal. For this purpose, we investigated the influence of variations of cutting depth on variations of fractal structure of cutting Forces in wet and dry machining conditions. The results of our analysis showed the variations of fractal structure of cutting Forces between different cutting depths, in wet and dry conditions. The employed methodology in this research is not limited to rough end milling and can potentially be applied to other types of machining operations, where the variations of cutting Forces is an important issue.
Karl M Newell - One of the best experts on this subject based on the ideXlab platform.
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adaptation to selective visual scaling of short time scale processes in isometric Force
Neuroscience Letters, 2010Co-Authors: Xiaogang Hu, Karl M NewellAbstract:Abstract This study investigated the effect of selectively increasing the visual scale of the high frequency components on isometric Force control. The higher frequency bandwidths (4–8 Hz or 8–12 Hz) of the Force output were amplified visually by a scaling factor (0, 2, 4, 6, 8). Four types of Force targets (i.e. constant, sine function, pink noise, and brown noise) that required different control strategies were examined. In the constant and to a lesser extent the pink noise task the enhanced visual scaling information progressively reduced the contribution to the Force Signal of the respective (4–8 Hz or 8–12 Hz) bandwidth and also in the neighboring frequency bandwidths (0–4 Hz or 4–8 Hz). The frequency analysis in the constant target condition showed that selectively increasing the visual scale of the high frequency bandwidths changed the whole frequency spectrum of the potential adaptive Force range (0–12 Hz) rather than only the specific bandwidth being scaled. This rescaling of the whole frequency spectrum led, however, to increase performance error in the constant and sine function targets. These findings show that the multiple time scale process of isometric Force control are constrained by the predictive properties of the Force output and the relative contribution of feedforward and feedback processes to task outcome.
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the adaptive range of 1 f isometric Force production
Journal of Experimental Psychology: Human Perception and Performance, 2009Co-Authors: Jacob J Sosnoff, Andrew D Valantine, Karl M NewellAbstract:The adaptive range of 1/f dynamics in isometric Force output was investigated. Participants produced isometric Force to targets with predictable demands (constant and sinusoidal) and 1/f noise waveforms (white, pink, brown, and black) that also varied in the frequency bandwidth represented in the Force Signal (0-4 Hz, 0-8 Hz, and 0-12 Hz). The range of within-trial 1/f Force dynamics produced was between darker than pink noise and lighter than black noise according to task conditions. The exponent of the respective 1/f Force dynamics decreased as the frequency bandwidth of the Force Signal increased. The findings reveal an adaptive though restricted range of 1/f Force variation that is modulated by the dynamics of the task constraints.
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deterministic and stochastic processes in children s isometric Force variability
Developmental Psychobiology, 2003Co-Authors: Katherine M Deutsch, Karl M NewellAbstract:This study examined the influence of deterministic and stochastic processes (including white Gaussian noise) on reductions in the amount of Force output variability through childhood. The structure of the Force Signal produced during a constant isometric pinch grip task was examined as a function of age (6, 8, and 10 years, and young adults), availability of feedback information (with and without vision), digit (thumb and index finger), and Force level (5, 15, 25, and 35% of maximal voluntary contraction). The amount of white Gaussian noise in the Force Signals was negligible and not age related. The availability of vision led increasingly over the older age groups to lower long-range correlations with more than a single scaling range in a 1/f-like decay process. The reductions in the amount of Force variability from childhood to adulthood were related in large part to deterministic organization that increased the adaptive use of higher frequency components, due to the more flexible use of information feedback and feedforward processes. © 2003 Wiley Periodicals, Inc. Dev Psychobiol 43: 335–345, 2003.
Che Hassan Che Haron - One of the best experts on this subject based on the ideXlab platform.
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development and testing of an integrated rotating dynamometer on tool holder for milling process
Mechanical Systems and Signal Processing, 2015Co-Authors: Muhammad Rizal, Jaharah A Ghani, Mohd Zaki Nuawi, Che Hassan Che HaronAbstract:Abstract The cutting Force provides significant information to help understand the machining process, optimization, tool condition monitoring, tool design and others. Hence, various methods of measuring the cutting Force have been proposed by many researchers. In this work, an innovative integrated rotating dynamometer and tool holder is designed, constructed and tested that can fulfil the requirement to measure the cutting Force in a wireless environment system. The device consists of a strain gauge based sensor that is mounted on a newly designed Force sensing element which is then placed in the rotating tool holder. The Force sensing element is designed in the form of a symmetrical cross beam type with four arms, shaped as a rectangular parallelepiped. This device is intended to be used in a rotating spindle such as in milling and drilling processes. A conditioning system and an inductive telemetry transmitter unit are incorporated into a modified tool holder in order to collect and transmit the cutting Force Signal to the data acquisition system. The rotating dynamometer has been subjected to a series of tests to determine its static and dynamic characteristics. Thus, it is tested experimentally by conducting cutting tests up to cutting speed 550 m/min with a single-tool insert. The results show it is suitable and reliable to measure the cutting Force in milling processes.
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i kaz tm based analysis of cutting Force Signals for tool condition monitoring in turning process
Applied Mechanics and Materials, 2013Co-Authors: Muhammad Rizal, Jaharah A Ghani, Mohd Zaki Nuawi, Che Hassan Che HaronAbstract:Cutting Force is an important Signal in machining process and has been widely used for tool condition monitoring. Monitoring the condition of the cutting tool in the machining process is very important to maintain the machined surface quality and consequently reduce inspection costs and increase productivity. This paper utilizes I-kaz-based analysis of cutting Force Signal to monitor the status of tool wear. The cutting Force Signals are measured by two channels of strain gauge that were mounted on the surface of tool holder. Experiments were carried out by turning hardened carbon steel and cutting Force Signals were analyzed using I-kazTM technique by integrating two component of Signals (I-kaz 2D, Z2), I-kaz of cutting Force (Z of Fy), and I-kaz of feed Force (Z of Fx). The results show that I-kaz of feed Force can be effectively used to monitor tool wear progression during turning operation.
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the application of i kaztm based method for tool wear monitoring using cutting Force Signal
Procedia Engineering, 2013Co-Authors: Muhammad Rizal, Jaharah A Ghani, Mohd Zaki Nuawi, Che Hassan Che HaronAbstract:Abstract Tool wear monitoring is important in machining industries for controlling the quality of machined parts that helps to improve the productivity. To date, many monitoring system methods are developed by utilizing various Signals, and cutting Force is one of the Signals in machining process that has been widely used for tool wear monitoring. This paper presents the application of I-kaz based method to analyze the cutting Force Signal for monitoring the status of tool wear in turning process. Experiments were carried out by turning hardened carbon steel, and cutting Force Signals were measured by two channels of strain gauges that were mounted on the surface of tool holder. In this study, I-kaz 2D is one of the derivatives of I-kaz TM method that has been utlized to integrate two components of cutting Force Signals. It differs from the I-kaz method, whereby the Signal does not need to be decomposed to three different frequency ranges. The analysis of results using I-kaz 2D and I-kaz TM methods, revealed that both methods can be used to determine tool wear progression during turning process and feed Force is very significant due to flank wear.
Muhammad Rizal - One of the best experts on this subject based on the ideXlab platform.
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development and testing of an integrated rotating dynamometer on tool holder for milling process
Mechanical Systems and Signal Processing, 2015Co-Authors: Muhammad Rizal, Jaharah A Ghani, Mohd Zaki Nuawi, Che Hassan Che HaronAbstract:Abstract The cutting Force provides significant information to help understand the machining process, optimization, tool condition monitoring, tool design and others. Hence, various methods of measuring the cutting Force have been proposed by many researchers. In this work, an innovative integrated rotating dynamometer and tool holder is designed, constructed and tested that can fulfil the requirement to measure the cutting Force in a wireless environment system. The device consists of a strain gauge based sensor that is mounted on a newly designed Force sensing element which is then placed in the rotating tool holder. The Force sensing element is designed in the form of a symmetrical cross beam type with four arms, shaped as a rectangular parallelepiped. This device is intended to be used in a rotating spindle such as in milling and drilling processes. A conditioning system and an inductive telemetry transmitter unit are incorporated into a modified tool holder in order to collect and transmit the cutting Force Signal to the data acquisition system. The rotating dynamometer has been subjected to a series of tests to determine its static and dynamic characteristics. Thus, it is tested experimentally by conducting cutting tests up to cutting speed 550 m/min with a single-tool insert. The results show it is suitable and reliable to measure the cutting Force in milling processes.
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i kaz tm based analysis of cutting Force Signals for tool condition monitoring in turning process
Applied Mechanics and Materials, 2013Co-Authors: Muhammad Rizal, Jaharah A Ghani, Mohd Zaki Nuawi, Che Hassan Che HaronAbstract:Cutting Force is an important Signal in machining process and has been widely used for tool condition monitoring. Monitoring the condition of the cutting tool in the machining process is very important to maintain the machined surface quality and consequently reduce inspection costs and increase productivity. This paper utilizes I-kaz-based analysis of cutting Force Signal to monitor the status of tool wear. The cutting Force Signals are measured by two channels of strain gauge that were mounted on the surface of tool holder. Experiments were carried out by turning hardened carbon steel and cutting Force Signals were analyzed using I-kazTM technique by integrating two component of Signals (I-kaz 2D, Z2), I-kaz of cutting Force (Z of Fy), and I-kaz of feed Force (Z of Fx). The results show that I-kaz of feed Force can be effectively used to monitor tool wear progression during turning operation.
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the application of i kaztm based method for tool wear monitoring using cutting Force Signal
Procedia Engineering, 2013Co-Authors: Muhammad Rizal, Jaharah A Ghani, Mohd Zaki Nuawi, Che Hassan Che HaronAbstract:Abstract Tool wear monitoring is important in machining industries for controlling the quality of machined parts that helps to improve the productivity. To date, many monitoring system methods are developed by utilizing various Signals, and cutting Force is one of the Signals in machining process that has been widely used for tool wear monitoring. This paper presents the application of I-kaz based method to analyze the cutting Force Signal for monitoring the status of tool wear in turning process. Experiments were carried out by turning hardened carbon steel, and cutting Force Signals were measured by two channels of strain gauges that were mounted on the surface of tool holder. In this study, I-kaz 2D is one of the derivatives of I-kaz TM method that has been utlized to integrate two components of cutting Force Signals. It differs from the I-kaz method, whereby the Signal does not need to be decomposed to three different frequency ranges. The analysis of results using I-kaz 2D and I-kaz TM methods, revealed that both methods can be used to determine tool wear progression during turning process and feed Force is very significant due to flank wear.