Developed Models for Understanding and Predicting the Machinability of a Hardened Martensitic Stainless Steel

Abstract

Experimental work was carried out using design of experiment to develop machining models for the dependent variables, tool life, cutting force and surface roughness, when machining a hardened AISI 420 martensitic stainless steel under oblique cutting. Carbide inserts were used as cutting tools in the present investigation. The effect of independent variables including cutting conditions, tool geometry, and hardness levels was investigated. The developed models were tested for the adequacy and validity of the present models. The correlation between dependent and independent variables is presented showing their relations. These models were utilized to find optimum cutting conditions using different optimization functions.

Keywords:

• Cutting force
• Experimental design
• Machinability models
• Martensitic stainless steel
• Metal cutting
• Oblique machining
• Optimization of cutting conditions
• Surface response
• Surface roughness
• Tool life

ACKNOWLEDGMENT

This investigation was supported in part by Princess Fatimah Alnijris's Research Chair for Advanced Manufacturing Technology. This support is gratefully acknowledged.

Notes

S = 0.1285, R ² = 79.8%, R ²(adj) = 77.2%.

Predictors: (constant), log h, log r, log d, log V, log f, log α, log γ.

Dependent variable: log T.

Predictors: (constant), log h, log r, log d, log V, log f, log α, log γ.

Dependent variable: log T.

S = 0.08408, R ² = 84.8%, R ²(adj) = 82.8%.

Predictors: (constant), log h, log r, log d, log V, log f, log α, log γ.

Dependent variable: log F _c .

Predictors: (constant), log h, log r, log d, log V, log f, log α, log γ.

Dependent variable: logF _c .

S = 0.1285, R ² = 79.8%, R ²(adj) = 77.2%.

Predictors: (constant), logh, logr, logd, logV, logf, logα, logγ.

Dependent variable: logR _a .

Predictors: (constant), logh, logr, logd, logV, logf, logα, logγ.

Dependent variable: logR _a .