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Amjad B. Abdulghafour , Salman Hussien Omran , Zina J. Ghulam , Musaab K. Rashed (2017). Quality Improvement of Petroleum Products Using Fuzzy Control Charts. International Journal of Natural Sciences Research, 5(1): 8-21. DOI: 10.18488/journal.63.2017.51.8.21
Quality improvement is one of the most important requirements to strengthen a competitive position in our markets today. So improving the quality, will lead to decrease variations, shrinkages and so production costs hence the customers acquire the appropriate products and services to use. Control charts have an effective usage field to keep the process under control. Control charts are illustrated as graphical analysis method which defines the products whether to stay in the acceptable limits or not and as a graphical analysis technique that specifies a signal in the state of product to be out of that limits. In this paper by detecting basic concept and essentials beyond the control charts usage and the improvement; so it combined with fuzzy approach to detect the optimal limits. Hence the application of the proposed fuzzy control chart is in Al–Dura Refinery to monitor variable quality characteristics. The proposed fuzzy control chart is under vague, imprecise, uncertain, and incomplete data and based on ?-level fuzzy midrange for ? – cut approach. As a result of the application, it’s rational to say that constructing fuzzy control charts have a more flexible, a more convenient mathematical characterization concept and have more reasonable results than the traditional quality control chart techniques.
The paper's primary contribution is finding a way to improve the quality of petroleum products in Al- Dura refinery / Baghdad/ Iraq. This can be achieved by applying fuzzy control charts to monitor the petroleum products specification which is rarely mentioned in relative literature.
Fuzzy Control of Hydrogen Generation by the Reaction of Activated Aluminum Particles and Water
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The purpose of this paper is to design a fuzzy control system for
generating hydrogen at a desired level by a reaction between water and
activated aluminum particles. The activated aluminum particles are
produced shredded aluminum sawdust. It is difficult to characterize the
reaction quantitatively because the characteristics of hydrogen
generating reaction vary as depending on the samples, the environment of
the reaction and so on. The experimental system consists of a fuel cell
(FC) of 100[W], a water tank, a reaction vessel, pressure sensors, a
water pump, a radiator and a one-chip microcomputer. The fuzzy control
system is designed to determine the quantum of water which is supplied
to the activated aluminum particles. The error forms a desired value of
the pressure of the reaction vessel and the change of the error are
chosen as the labels of the fuzzy membership functions. The proposed
fuzzy control system is applied to maintain the pressure of the reaction
vessel of the developed hydrogen generation system at a certain level.
The developed hydrogen generation system is confirmed to provide
hydrogen to the FC by experiments under various conditions.