The classical Taguchi quality model only considers the control of quality. Huang[9] proposed a model that took both quality and cost into account. Huang’s model presents a trade-off problem between quality and cost, in which higher quality is not the final aim but the profit. In Huang’s model, the symmetrical quadratic quality loss function was employed to stand for the loss of profit. In this ...

ABSTARCT This paper envisages the optimal setting of process parameters which influences the surface roughness during the machining operation of En 41B alloy steel with cermet tool. Experiments have been carried out by using Taguchi design. The surface roughness is considered as quality characteristic while the process parameters considered are speed, feed and depth of cut. The results of the m...

Robust design uses the parameter design approach of Genichi Taguchi to optimize designs of products and processes with the objective of building in insensitivity to noise. Noise is any kind of uncontrolled variation in the environment of operation of the product or process that could affect performance. If we recognize how variation in the environment (e.g., energy source, raw materials, heat a...

In this study, the integrated Taguchi-simulated annealing (SA) approach is applied to examine the wear behaviour of silicon nitride (Si3N4)hexagonal boron nitride (hBN). Wear tests for Si3N4-hBN composite versus steel (ASTM 316L) disc were carried out for a dry sliding conditions in a so-called pin-on-disc arrangement. The tests were realized at % volume of hBN 0, 4, 8, 12, 16 in Si3N4 under th...

Purpose: To predict the minimum value of additional material volume for an acceptable preform product. To predict an acceptable preform product without shape defect such as unfilling in a closed-die forging operation. Design/methodology/approach: In order to reduce the number of experiments, an orthogonal array from the Taguchi’s experimental method will be utilized to design the process parame...

This paper reviews the application of two analytical tools namely Artificial Neural Network (ANN) and Taguchi based design of experiment in the field of polymer matrix composite. These two tools are used extensively to predict the tool wear, fatigue life etc., during machining operation.

The process parameters of FDM manufacturing technology are very important for obtaining high quality parts, good mechanical properties. Several optimization techniques used such as Response surface methodology, Taguchi method, FF, ANN etc. much research work has been carried out in ABS, PC, PPSF, Nylon-12, PC-ABS blend for optimizing process parameters to identify improved surface roughness, me...

A R T I C L E I N F O AISI D2 steel, Tool wear, Workpiece surface temperature, Taguchi method, Regression analysis. Received 19 July 2012 Accepted 29 August 2012 Available online 31 December 2012 Now-a-days increasing the productivity and the quality of the machined parts are the main challenges of metal cutting industry during turning processes. Optimization methods in turning processes, consi...

Surface roughness is used to determine and evaluate the quality of a final product in turned parts. In order to get better surface finish, the proper setting of cutting parameters is crucial before the process takes place. Titanium Grade 5 material is one whose surface hardness is high and it is used for making Aerospace engine components, titanium rod and ideal materials for medical implements...