The bandsawing as a multi-point cutting operation is the preferred method for cutting off raw materials in industry. Although cutting off with bandsaw is very old process, research efforts are very limited compared to the other cutting process. Appropriate online tool condition monitoring system is essential for sophisticated and automated machine tools to achieve better tool management. Tool w...

Titanium alloy (Ti-6Al-4V) can be economically machined with high-pressure coolant (HPC) supply. In this study, an artificial neural network (ANN) model was developed for the analysis and prediction of tool wear parameters when machining Ti-6Al-4V alloy with conventional flow and high-pressure coolant flow, up to 203 bar. Machining trials were conducted at different cutting conditions for both ...

The fast monitoring of tool wears by using various Cutting signals and the prediction models developed rapidly in recent years. Comparatively, various wear forecast models based on artificial neural networks (ANN) perform much better in accuracy and speediness than the conventional prediction models. Combining the prominent dynamic properties of back propagation neural network (BPNN) with the e...

INTRODUCTION The contacting surfaces subjected to progressive loss of material known as 'wear,' which is unavoidable between contacting surfaces. Similar kind of phenomenon observed in the human body in various joints where sliding/rolling contact takes place in contacting parts, leading to loss of material. This is a serious issue related to replaced joint or artificial joint. CASE DESCRIPTI...

the aim of this research was to study the wear behavior of 42crmo4 steel/zro2 composite with 10 and 30 ppi performed ceramic and compare it with the un-reinforced steel under different applied loads. the composite specimens were obtained by pressureless infiltration of the melt into a preformed ceramic of zirconium oxide. the effect of applied load on the specimens wear behavior was studied by ...

Tool wear and surface roughness prediction plays a significant role in machining industry for proper planning and control of machining parameters and optimization of cutting conditions. This paper deals with developing an artificial neural network (ANN) model as a function of cutting parameters in turning steel under minimum quantity lubrication (MQL). A feed-forward backpropagation network wit...

Introduction: Crosslinking of polyethylene has been known for decades to improve the abrasion resistance of the polymer for industrial applications. However, only three applications of this technology have been reported in use in total hip replacements in the orthopaedics literature by Grobbelaar et. al. [1], Oonishi et. al. [2], and Wroblewski et. al. [3]. Recently, the interest in highly cros...

in order to determine hydrological behavior and water management of sepidroud river (north of iran-guilan) the present study has focused on stream flow prediction by using artificial neural network. ten years observed inflow data (2000-2009) of sepidroud river were selected; then these data have been forecasted by using neural network. finally, predicted results are compared to the observed dat...

The field of biomedical materials plays an imperative requisite and a critical role in manufacturing a variety of biological artificial replacements in a modern world. Recently, titanium (Ti) materials are being used as biomaterials because of their superior corrosion resistance and tremendous specific strength, freeallergic problems and the greatest biocompatibility compared to other competing...

The aim of this research was to study the wear behavior of 42CrMo4 steel/ZrO2 composite with 10 and 30 ppi performed ceramic and compare it with the un-reinforced steel under different applied loads. The composite specimens were obtained by pressureless infiltration of the melt into a preformed ceramic of zirconium oxide. The effect of applied load on the specimens wear behavior was ...