Quality and productivity play significant role in today’s manufacturing market. Quality of a product can be
described by various quality attributes. The attributes may be quantitative or qualitative. In on-line quality control controller
and related equipments are provided with the job under operation and continuously the quality is being monitored. If quality
falls down the expected level the controller supplies a feedback in order to reset the process environment. In off-line quality
control the method is either to check the quality of few products from a batch or lot (acceptance sampling) or to evaluate the
best process environment capable of producing desired quality product. This invites optimization problem which seeks
identification of the best process condition or parametric combination for the said manufacturing process [2]. If the problem is
related to a single quality attribute then it is called single objective (or response) optimization. If more than one attribute
comes into consideration it is very difficult to select the optimal setting which can achieve all quality requirements
simultaneously. Otherwise optimizing one quality feature may lead severe quality loss to other quality characteristics which
may not be accepted by the customers. In order to tackle such a multi-objective optimization problem, the present study applied
extended Taguchi method. The study aimed at evaluating the best process environment which could simultaneously satisfy
requirements of both quality and as well as productivity. This study investigates the effects of various parameters such as depth
of cut, speed and feed on the material removal rate and surface roughness of the SS304 in a CNC turning machine.
Real Time Impact Factor:
Pending
Author Name: Basil M. Eldhose,Cijo mathew ,Dr. Binu markose
URL: View PDF
Keywords: SS304, Taguchis DOE, CNC,S/N ratio,ANICA,Regression
ISSN: 2349-2163
EISSN: 2349-2163
EOI/DOI:
Add Citation
Views: 4071