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In this paper, a novel elliptical vibration assisted OOS was designed to achieve a low cutting force under the condition of deepening cut depth and reducing cutting speed, based on the analysis of brittle fractures of the bone and elliptical vibration assisted cutting kinematics.
The ultrasonic elliptical vibration cutting has been successfully applied to precision cutting due to its superior performances, such as low cutting force, high quality surface finish and long tool life.
Furthermore, analysis of variance (ANOVA) and regression analysis were carried out on the experimental datasets to study the influence of process parameters in achieving low cutting force and surface roughness.
An appropriate selection of the input parameters (spindle speed of 1000 rpm, feed of 0.03 mm/rev, depth of cut of 1 mm and 5% of SiC) produces high material removal rate coupled with fine surface finish, less tool wear and low cutting force.
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There is a compromise between low cutting forces and flatness of cut surface that has to be adopted in design of practical machines.
The contour plots of the process parameters revel that the low cutting forces are associated with the lowest level of depth of cut and the highest level of cutting speed and the sensitivity analysis revealed that cutting speed is most significant factor influencing the response variables investigated.
It possesses several advantages including low cutting forces, reduced tool wear and improved hole quality.
It is superior to conventional drilling in many ways including low cutting forces, reduced tool wear and improved hole quality.
Due to its flexible kinematics, low cutting forces, tool wear, and improved borehole quality may be achieved.
The effects of nanoparticle concentration, nozzle angle and air pressure are investigated to determine the optimum machining conditions, such as lowest cutting force, cutting temperature and surface roughness.
The result from this study shows that the application of the Taguchi method can determine the best combination of machining parameters that can provide the optimal machining response conditions which are the lowest surface roughness and lowest cutting force value.
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CEO of Professional Science Editing for Scientists @ prosciediting.com