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Rough turning of titanium alloy (6Al-4V)
(2012-12-01)
Metal machining is the complex process due the used cutting parameters. In metal cutting process, materials of workpiece differ widely in their ability to deform plastically, to fracture and to sustain tensile stresses. ...
Analysis on turning Ti-6Al-4V with different cooling methods
(2012-12-01)
The aim of this paper is to optimize the machining of Ti-6Al-4V alloy, by studying the chip formation, roughness and tool wear for different cooling conditions. The results were compared between cooling methods, minimal ...
Comparative study on turning CI and CGI using silicon nitride cutting tools
(2008-12-01)
There has been a great interest for improving the machining of cast iron materials in the automotive and other industries. Comparative studies for tool used to machine grey cast iron (CI) and compacted graphite iron (CGI) ...
Fox H-function: a Study Case on Variate Modeling of Dual-Hop Relay Over Weibull Fading Channels
(Ieee, 2018-01-01)
This paper proposes a novel analytical framework based on the Fox H-function distribution. To test its efficacy we focus on a study case where we derive closed form expressions for the distribution of the end-to-end signal ...
Fox H-function: A study case on variate modeling of dual-hop relay over Weibull fading channels
(2018-06-08)
This paper proposes a novel analytical framework based on the Fox H-function distribution. To test its efficacy we focus on a study case where we derive closed form expressions for the distribution of the end-to-end signal ...
α-SiAION: Development and machining test on gray cast iron
(2008-12-01)
The α-SiAlON ceramic cutting tool insert is developed. Silicon nitride and additives powders are pressed and sintered in the form of cutting tool inserts at temperature of 1900 °C. The physics and mechanical properties of ...
Harmony Search applied for Support Vector Machines Training Optimization
(Ieee, 2013-01-01)
Since the beginning, some pattern recognition techniques have faced the problem of high computational burden for dataset learning. Among the most widely used techniques, we may highlight Support Vector Machines (SVM), which ...
A Social-Spider Optimization Approach for Support Vector Machines Parameters Tuning
(Ieee, 2014-01-01)
The choice of hyper-parameters in Support Vector Machines (SVM)-based learning is a crucial task, since different values may degrade its performance, as well as can increase the computational burden. In this paper, we ...
Harmony search applied for support vector machines training optimization
(2013-12-04)
Since the beginning, some pattern recognition techniques have faced the problem of high computational burden for dataset learning. Among the most widely used techniques, we may highlight Support Vector Machines (SVM), which ...
A social-spider optimization approach for support vector machines parameters tuning
(2015-01-01)
The choice of hyper-parameters in Support Vector Machines (SVM)-based learning is a crucial task, since different values may degrade its performance, as well as can increase the computational burden. In this paper, we ...