In his pioneering work on product and process improvement, Taguchi (1986) emphasizes two types of factors that effect product quality: “control factors” are those variables that can be (easily) manipulated by the manufacturer and “noise factors” are those variables that represent either different environmental conditions that affect the performance of a product in the field or (uncontrollable) ...

Taguchi's emphasis on instilling quality at the design stage has been important in a number of situations and deserves careful attention. His specific robust design approach has yielded good results in many instances, but recent studies indicate that more classical designs can serve the same purposes-sometimes, at least, doing so more efficiently, albeit less understandably for the technically ...

An important issue in multi-channel manufacturing (MCM) design is the channel formation process. In this study, the control parameters that affect the performance of genetic algorithms (GAs) developed to solve channel formation problem, are examined and the optimum values of such parameters are explored using Taguchi method. Two types of problems were taken into account in terms of machines, pa...

By the grey-based Taguchi methods, this study attempts to analyze the process parameters pertinent to the multiple performance characteristics of linear motion guides and obtain the multiple performance characteristics of the noise level, push force value and horizontal combination precision of the linear motion guide with multiple qualities. Optimal process parameters are determined by using t...

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 ...

the three methods of design of experiment: taguchi ,classic and shainin can solve quality problem ,diagnosis the roots of quality problem and make improvement . to use of these methods ,we should recognize the strengths and weakness of them. recognizing notes of these methods by comparison with a case study ,we will understand them deeper. in this study three mentioned methods were compared aft...

This paper presents the results of an effort to optimize a conceptual design of a conical (wingedcone) single-stage-to-orbit launch vehicle. The vehicle employs a rocket-based combined-cycle (RBCC) engine capable of four different operating modes ejector, ramjet, scramjet, and rocket. The RBCC engine offers higher engine thrust-to-weight ratios than competing airbreathing engine cycles while ma...

Resistance spot welding process is one of the very useful and widely utilized joining processes in automobile industry due to its high working speed, high productivity, flexibility and economical cost operation. In this paper various optimization techniques like Taguchi method, Artificial neural network (ANN), Genetic algorithm (GA) etc. and their applications are discussed to get the optimum w...

This paper describes the tool life prediction model with end milling EN31 tool steel using P30 Tungsten uncoated carbide tool. The data set from the Taguchi method design is taken. For discussion the effects of cutting speed, feed rate and depth of cut on tool life of P30 are considered. This paper suggests a novel technique for the tool wear measurement based on machine vision. Tool images are...

To simultaneously optimize the parameter robust design of dynamic multiple responses is difficult due to product complexity; however, the design is what determines most of the production time, cost, and quality. Although several methods tackling this problem have been published, they have proven unable to effectively resolve the situation if a system has continuous control factors. This work pr...