machining operation is one of the most applicable processes for the manufacturing of industrial parts. usually, the quality of finished part in turning operation is measured in terms of surface roughness. in turn, surface quality is determined by machining parameters and tool geometry specifications. the main objective of this study is to model and optimize machining parameters and tool geometr...

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 proposes an efficient approach for optimizing the multiple quality characteristics (QCHs) in manufacturing applications on the Taguchi method using the super efficiency technique in data envelopment analysis (DEA). Each experiment in Taguchi’s orthogonal array (OA) is treated as a decision making unit (DMU) with multiple QCHs set as inputs or outputs. DMU’s efficiency is evaluated th...

This report is intended to facilitate dialogue between engineers and optimizers about the eeciency of Taguchi methods for robust design, especially in the context of design by computer simulation. Three approaches to robust design are described: 1. Robust optimization, i.e. specifying an objective function f and then minimizing a smoothed (robust) version of f by the methods of numerical optimi...

The challenge of recent machining industries is reduce lead time and increase production rate in order to maintain their competitiveness. This paper investigates the machinability of mild steel in turning process perform on conventional lathe machine. Twoparameters like tool rake angle and feed are varied to investigate their effect on material removal rate. An attempt has been made to model th...

Dolph-Chebychev arrays are known to exhibit the best compromise between sidelobe level and directivity. However, they place a constraint on the null locations. Any attempt to impose nulls or get them deeper will impact the directivity/sidelobe level trade-off. In this work, null placement in Dolph-Chebychev arrays through element position perturbation is carried out based on Taguchi method whil...

Support Vector Machines (SVM) is a powerful classification technique in data mining and has been successfully applied to many real-world applications. Parameter selection of SVM will affect classification performance much during training process. However, parameter selection of SVM is usually identified by experience or grid search (GS). In this study, we use Taguchi method to make optimal appr...

In this study, an experiment is conducted to optimize the machining parameters of the Electric Discharge Machining on EN 31 tool steel with copper as an electrode considering the performance characteristics using the Taguchi method. Performance characteristics Material Removal Rate has been chosen to evaluate the machining effects. Parameters selected in this study are Pulse on time, Pulse off ...