Abstract:
Manufacturing quality products at a higher rate and low cost is the key
to exist and sustain in the modem era of cut-throat competition. To do that,
,
machining is practised at extreme conditions. As part of this approach, high
speed machining is adopted. However, high speed machining is inherently
associated with generation of intense heat and cutting temperature at the
cutting zone resulting increased tool wear and deterioration of machined
surface. New methods are being explored to reduce the heal. Application of
high-pressure coolant is perceived to be a superior choice in this regard.
Technological beneficial effects of proper high-pressure coolant on machining
already been established in number of previous investigations
Surface roughness is a determinant of product quality and reduction of
tool wear and consequent increase of toollne can reduce the machining cost .•
However, estimation of these two machining performance parameters can
contribute to manufacturing optimization and planning. Mathematicai models
are instrumental to predict machining performance at different machining
combinations,
Response surface method is adopted to develop statistical models of
tool life and surface roughness. Cutting speed and feed rate are the
independent variables of the models. As part of this method, based on the
experimental results of turning medium carbon steel statistically designed
speed-feed combination by uncoated carbide insert using high-pressure coolant
jet, regression analysis will be performed to determine the coefficients of the
model followed by analysis of variance to check the adequacy of the model.The
models are expected to quantify machining performance in terms oftoollife and
surface roughness at various cutting speed and feed.
