Abstract The advancement of materials science during the last few decades has led to development many hard-to-machine materials, such as titanium, stainless steel, high-strength temperature-resistant alloys, ceramics, refractories, fibre-reinforced composites, and superalloys. Titanium is a prominent material widely used for several industrial applications. However, it poor machinability hence ...

This paper highlights an integrated approach to solve the correlated multi-response optimization problem through a case study in submerged arc welding (SAW). The proposed approach has been presented to overcome different limitations and drawbacks of existing optimization techniques available in literature. Traditional Taguchi optimization technique is based under the assumption that quality res...

Three phases are considered for multiple response optimization (MRO) problems. They are design of experiments, modeling and optimization. Committee machines (CM) as a set of some experts such as some artificial neural networks (ANNs) can be applied for modeling phase. Then, genetic algorithm (GA) determines the final solution with object maximizing the global desirability as optimization phase....

This paper deals with the optimization of external roller burnishing operation using a CNC lathe for Mg-SiC metal matrix. Magnesium was alloyed 10% (w/w) SiC particles as reinforcement. The Stir casting process used to cast bars. turning then performed on these bars prepare them process. parameters considered during are speed, feed rate, force and number tool passes. Surface roughness, microhar...

optimization of reservoir parameters is an important issue in petroleum exploration and production. the ant colony optimization(aco) is a recent approach to solve discrete and continuous optimization problems. in this paper, the ant colony optimization is usedas an intelligent tool to estimate reservoir rock properties. the methodology is illustrated by using a case study on shear wave velocity...

In this paper parallel universes are defined by their relation to multi-criteria optimization combined with an explicit or implicit link for the unambiguous identification of an optimum. As an explicit link function the desirability index is introduced. Desirabilities are also used for restricting the Pareto set to desired parts.

This paper presents a methodology for requirement prioritization. The approach provides a flexible and realistic approach that considers all attributes of particular requirements and fuses them into a unified metric, representative of all quality criteria identified for a specific software project. The derived quality measurement can be used as the main metric for requirements prioritization. T...