Dielectric characterization of electro-coagulated boron waste

WOS: 000330143000055The source of electro-coagulation boron waste (ECBW) is wastewater. In order to remove boron from wastewater, boron carried to mud in the form of industrial solid waste is rinsed through electrocoagulation method. The dielectric dispersion properties of the ECBW were analyzed determining the parameters such as complex dielectric functions, dissipation factor and surface conductivity. It is found that at lower frequencies, ECBW sample exhibits a high dissipation factor. The Cole-Cole plots of the sample indicate that the dielectric dispersion mechanism is a Debye type. The boron waste exhibits a high resistance material behavior with a value of 1.03 x 10(9) ohm/sq. and this result is consistent with the electrical behavior of ECBW plate. This study has shown that due to its high resistance and high dielectric dissipation factor, ECBW can be a valuable material for use in many industrial applications which require electrostatic dissipation or electromagnetic shielding. (C) 2013 Elsevier Ltd. All rights reserved.Yildiz Technical University [2011-01-01-KAP01]This work was partially supported by Yildiz Technical University through the project number is 2011-01-01-KAP01

Electrical Behavior of Probertite by Dielectric Spectroscopy

WOS: 000345899000008In this work of the material investigation, electrical parameters, which are real part and imaginary part of modulus, dielectric constant, dissipation factor, and conductivity, in the bulk pellet of probertite sample is presented. Electrical properties were investigated via temperature and frequency dependent dielectric spectroscopy. Real and imaginary part of dielectric parameter properties of the probertite were measured at frequencies from 100 to 15M Hz in the temperature range of 25 to 150 degrees C. Temperature dependence of the real part of the dielectric constant suggests that these compounds exhibit strong electromagnetic absorption and broadband electrical behavior

A Multi Perspective Framework for Enhanced Supply Chain Analytics

Supply chain analytics, especially in the field of food supply has become a strategic business function. Monthly executive sales and operation planning meetings utilize supply chain analytics to inform strategic business decisions. Having identified gaps in the strategic management of food supply chains, a multi perspective supply chain analytics framework is developed incorporating process and data attributes to support decision making. Using Design Science as the research methodology, a novel framework with a supporting IT artefact is built and presented with early evaluation results. The resulting multi perspective supply chain analytics framework equips practitioners to identify strategic issues, providing important decision support information. The case study further illustrates the framework has applicability across all integrated food supply chains. This research has highlighted gaps in the application of process science to the supply chain management domain, particularly in the area of simultaneous assessment of process and data. The outcomes contribute to research in this domain providing a framework that will enhance the significant reference modelling and operational management work that has occurred in this field.</p