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The study primarily focuses on investigating the effects of machining parameters such as cutting speed, feed rate and point angle on thrust force, specific cutting coefficient, surface roughness and circularity error in drilling of SA182 work material.
Response surface analysis obviously reveals that thrust force, specific cutting coefficient and surface roughness decrease with the increase in cutting speed, whereas the circularity error increases with increased cutting speed and feed.
In this paper, the mechanistic force model based on velocity and chip load dependent cutting coefficient has been incorporated into the analytical stability model to predict the cutting forces and the stability lobe diagrams for high-speed micromilling of Ti6Al4V.
Since the dynamic stability depends on the speed and the chip load (feed/flute), mechanistic force model with a constant cutting coefficient will yield inaccurate results.
The force predictions from the mechanistic model using velocity and chip load dependent cutting coefficient are in better agreement with experimentally measured forces as compared to constant cutting coefficients.
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In this paper, a new methodology for predicting the cutting coefficients considering the edge radius and material strengthening effects is presented.
Its prediction is affected by reliability of input data such as machine tool dynamics or cutting coefficients that are difficult to be evaluated accurately, especially at high speed.
Up to a spindle speed of 70,000 rpm, the maximum prediction errors in stability boundary for a 500 µm diameter end-mill using constant and velocity chip load dependent cutting coefficients are ~33%and~11%1%, respectively.
Regenerative chatter is a function of empirical cutting coefficients, and the structural dynamics of the machine-tool system.
Finally, combining with the calibrated cutting coefficients and runout parameters, comprehensive formulation of the cutting force system is set up.
This paper firstly sets up the mechanistic model for VPVH tools and then presents a combined nonlinear optimization procedure to identify the cutting coefficients and runout parameters.
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