Mathematical modeling of process parameters on hard turning ofAISI 316 SS by WC insert
S Ranganathan, T Senthilvelan, G Sriram - 2009 - nopr.niscpr.res.in
S Ranganathan, T Senthilvelan, G Sriram
2009•nopr.niscpr.res.inThis paper presents a newly developed mathematical modeling for process parameters on
hard turning of AISI 316stainless steel by tungsten carbide inserts (WC). Regression
analysis and ANOVA theory was used to predict surface roughness (Ra) and tool wear (VB).
WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of
processparameters [cutting speed (Vs), feed rate (fs) and depth of cut (ap)]. Adequacies of
developed model were verified by calculationof correlation coefficient (r). These models can …
hard turning of AISI 316stainless steel by tungsten carbide inserts (WC). Regression
analysis and ANOVA theory was used to predict surface roughness (Ra) and tool wear (VB).
WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of
processparameters [cutting speed (Vs), feed rate (fs) and depth of cut (ap)]. Adequacies of
developed model were verified by calculationof correlation coefficient (r). These models can …
This paper presents a newly developed mathematical modeling for process parameters on hard turning of AISI 316stainless steel by tungsten carbide inserts (WC). Regression analysis and ANOVA theory was used to predict surface roughness(Ra) and tool wear (VB). WC tool inserts performed machining of AISI 316 SS to study main and interaction effects of processparameters [cutting speed (Vs), feed rate (fs) and depth of cut (ap)]. Adequacies of developed model were verified by calculationof correlation coefficient (r). These models can be effectively used to predict Ra of work piece and VB of WC insert.
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