The cutting characteristics of biomaterials (Ti-6Al-4V ELI) by tools are investigated with respect to cutting force, work piece surface roughness and tool flank wear by the vision system. Ti-6Al-4V ELI titanium turning is carried out with various cutting conditions; spindle rotational speed and feed rate. Back propagation neural networks (BPNs) are used for detection of tool wear. The input vectors of neural network comprise of spindle rotational speed, feed rates, vision flank wear, and cutting force signals. The output is the tool wear state which is either usable or failure. The detection of the abnormal states using BPNs achieves 97.5% reliability even when the spindle rotational speed and feed rate are changed.
In this paper, dry turning operation was carried out on four types of workpiece materials SCM420, SCM420H, SCM440 and SM45C in order to review the effect of cutting parameters on surface roughness (Ra) and resulting cutting force (F). The turning operation was conducted on the NC lathe with the CVD coated carbide inserts. The analysis of variance (ANOVA), linear regression model and main effect plot for mean were employed to investigate the correlation between responses (Ra and F) and cutting parameters. The predictive equations showed a satisfactory correlation with high coefficients of determination (R2) from 80.76 to 98.89%. The lowest feed rate and highest spindle speed were applied to minimize surface roughness, but both were performed at level 1 to minimize the resulting cutting force. The optimal experimental conditions showed the brilliant results as the surface roughness 1 μm and resulting cutting force 39.92 N. The SCM440 steel indicated the best surface roughness responses followed by SCM420, SCM420H and SM45C steel. The SCM440 steel revealed the lowest resulting cutting force followed by SCM420, SM45C and SCM420H steel.
New materials widely used for automobile related industry, aircraft, space development area are mostly high hardness materials. The hardness value of some hardened materials is over HRC45 and machining of this hardened materials is called as hard turning. Hard turning has its advantage on processing flexibility, cycle time and tool cost reduction.Also this process obtains high efficiency in processing and precise surface roughness through application of the CBN tools. In hard turning process with CBN tool, surface integrity is the important factor for considering the design of machine part and component under high stress and load conditions. A purpose of this study is to analyze optimal condition in hard turning process of AISI 52100 steel (HRC62) with high CBN and low CBN on turning characteristics, tool wear mechanism comparison and surface integrity.
It is safe and light because it uses carbon/glass fiber reinforced plastics (hereinafter referred to as C/GFRP) through this technological development. Moreover, sunlight LED luminous bollard, which was harmonized with the surrounding environment with diverse colors, was developed. Luminous bollard can reduce its weight and also increase its strength by adjusting the intensity and thickness of a product customized for each usage on the basis of the characteristics of C/GFRP composite. In addition, C/GFRP and steel pipe were compared for the compression test in order to compare the objective rigidity. As a result, this study could obtain a positive result graph of luminous bollard. To develop luminous bollard, the composite development process was configured through a fixture of pullout and filament winding. Diverse colors can be applied to luminous bollard. Hence, it is possible to select a color customized for each region. It is also possible to create an aesthetic harmony with a surrounding environment through LED lamps at night. The pipe, which was 50 percent lighter than stainless and also which had excellent tensile strength, was designed to develop the bollard that has superior convenience in terms of construction, maintenance and repair.
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