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The interfacial shear strength increases almost linearly with the mean slope and was also found to increase with an increase in the 2D surface roughness parameter, Ra.
The concentration has been set on the mathematical modeling of the specific cutting energy (Esp) and the average surface roughness parameter (Ra) in end milling of hardened AISI 4140 steel under the use of MQL.
In this regard, this study presents the modeling and investigation of average surface roughness parameter (Ra) with respect to spindle speed (N), feed rate (f), depth of cut (ap) and time (t) gap between MQCL pulsing in turning ∼60 Rc steel.
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The four methods are implemented in MATLAB™ to estimate surface roughness parameters – Ra, Rq, and Rz.
This experimental arrangement allows the generating of mean, variance and mean square error (MSE) of five surface roughness parameters (Ra, Rz, Ry, Rt and Rq).
Flank wear (VBc) and surface roughness parameters (Ra and Rz) are decreased 1.9, 2.32 and 1.5 times respectively considering optimal parametric combinations for multi-responses.
The mean value of surface roughness parameters (Ra) and root-mean-square (RMS) height of the samples were listed in Table 1.
In our case, flat surface with roughness parameter Ra = 0.02 μm has high wear rate in boundary lubrication, while samples with much more coarse (0.3 to 2.6 μm), but directed variations of surface profile, demonstrate almost no wear.
The surface roughness, presented with a roughness parameter, Ra, and the topography of the tested surfaces were both measured and imaged by an atomic force microscope (AFM).
The results showed that the hydrophilicity of PLLA films was improved after treatment and the surface roughness, presented with a roughness parameter, Ra, increased from about 20 nm to between 40 and 200 nm.
The created mathematical model can explain the 0.90 proportion of the total variability in Ra, arithmetical average surface roughness parameter.
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