This paper outlines the use of the goal programming technique in selecting levels of machining parameters in a fine turning operation on A1S1 4140 steel using cemented tungsten carbide tools. Goals that are proposed to be achieved are: (i) to finish turning the required depth in one pass, mid (ii) to finish turning within a stipulated time. Constraints used are: R.M.S. surface finish values, cutting horse power of the machine, ranges for cutting speed, feed and depth of cut. A predictive equation to predict the R.M.S. Surface roughness values from the machining variables, cutting speed, feed, depth of cut, and time of cut was used. This mathematical model was developed using stepwise regression analysis on the experimental data for 1/64 in. nose radius cemented tungsten carbide cutting tool. Experiment with the machining variables at different levels were performed to obtain the data. A statistically designed experiment called the rotatable design was used for the experimental design
[1]
Inyong Ham,et al.
Regression Analysis for Predicting Surface Finish and Its Application in the Determination of Optimum Machining Conditions
,
1970
.
[2]
B. K. Lambert,et al.
AN APPLICATION OF GEOMETRIC PROGRAMMING TO MACHINING VARIABLE SELECTION
,
1970
.
[3]
R. G. Stone,et al.
Mechanical engineering department
,
1976
.
[4]
B. K. Lambert,et al.
A surface roughness model for a turning operation
,
1974
.
[5]
Frank W. Wilson,et al.
Fundamentals of tool design
,
1962
.
[6]
E. Armarego,et al.
The Machining of Metals
,
1969
.
[7]
Edward R. Clayton,et al.
A Goal Programming Model for Academic Resource Allocation
,
1972
.
[8]
Veikko Jääskeläinen,et al.
A Goal Programming Model of Aggregate Production Planning
,
1969
.