Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Effect of plastic side flow on surface roughness in micro-turning process

“…These data were used to estimate the rheological factor x required to calibrate Eq. (5). In order to evaluate the rheological factor x, the average flow stress of the material in the deformation (shear) zone in front of the cutting edge needs to be determined.…”

“…It has been reported [2][3][4][5][6] that the surface roughness in turning is also affected by the depth of cut, cutting speed, tool wear, presence of built-up edge (BUE), workpiece hardness etc. However, due to lack of understanding of the surface-roughening mechanism at the micron/submicron level and lack of physics-based surface roughness models, techniques such as regression analysis, neural network etc., are commonly employed [2][3][4][5][6].…”

“…However, due to lack of understanding of the surface-roughening mechanism at the micron/submicron level and lack of physics-based surface roughness models, techniques such as regression analysis, neural network etc., are commonly employed [2][3][4][5][6]. In particular, the contribution of material deformation at the micron scale to surface roughening has not been accounted for in modeling the surface generation mechanism in micro-cutting process.…”

Study on prediction of surface quality in machining process

“…In Jiao et al (2004), it was pointed out that the combined neural-fuzzy approach appeared to be ideally suited for surface roughness prediction. The developed fuzzy adaptive network (FAN) was used to model surface roughness in turning operations.…”

Optimization of Multiple Roughness Characteristics for Turning of AISI 1040 Steel under Different Cutting Conditions

“…The experiment was planned as per Taguchi L 27 orthogonal array. Jiao et al [2] used fuzzy neural network (FAN) to model surface roughness in turning operations. A model representing the influences of machining parameters on surface roughness was established and then the model was verified by the use of the results of pilot experiments.…”