Submitted by: Resit Unal, Professor Engineering Management Department Old Dominion University Ozgur Yeniay, Assistant Professor Department of Statistics Hace t t epe University Submitted to Technical Monitor: Roger A. Lepsch Vehicle Analysis Branch Aerospace Systems, Concepts and Analysis Competency National Aeronautics and Space Administration Langley Research Center, Mail Stop 365 Hampton, Vi...

Submitted by: Resit Unal, Professor Engineering Management Department Old Dominion University Ozgur Yeniay, Assistant Professor Department of Statistics Hace t t epe University Submitted to Technical Monitor: Roger A. Lepsch Vehicle Analysis Branch Aerospace Systems, Concepts and Analysis Competency National Aeronautics and Space Administration Langley Research Center, Mail Stop 365 Hampton, Vi...

The task of manufacturing process design is to determine a set of process parameters for a manufacturing task. The design is normally carried out to optimize process performance, such as, to minimize discrepancy from a prescribed shape or to maximize production efficiency. An optimal design, however, is often not the most robust or reliable design because inevitable uncertainties in input varia...

Many engineering systems represent challenging classes of complex dynamic systems. Lacking information about their system properties leads to model uncertainties up to a level where quantification of uncertainties may become the dominant question in modeling, simulation and application tasks. Uncertainty quantification is the prerequisite for probabilistic risk assessment and related tasks. Cur...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

The well-known quality improvement methodology, robust design, is a powerful and cost-effective technique for building quality into the design of products and processes. Although several approaches to robust design have been proposed in the literature, little attention has been given to the development of a flexible robust design model. Specifically, flexibility is needed in order to consider m...

Purpose – Robust design is a well-known quality improvement method that focuses on building quality into the design of products and services. Yet, most well established robust design models only consider a single performance measure and their prioritization schemes do not always address the inherent goal of robust design. In this paper, we propose a new robust design method for multiple quality...

treated sea water is the most significant source of water and surfactant floods. the various chemicals employed in treatment plants should be compatible with surfactant systems. based on surface tension experiments, the activity of these chemicals is examined over a wide range of concentrations in different solutions, including distillated water, sea water by using three types of surfactant mix...