Two new soft computing models, namely genetic programming (GP) and genetic artificial algorithm (GAA) neural network (a combination of modified genetic algorithm and artificial neural network methods) were developed in order to predict the percentage of shear force in a rectangular channel with non-homogeneous roughness. The ability of these methods to estimate the percentage of shear force was investigated. Moreover, the independent parameters' effectiveness in predicting the percentage of shear force was determined using sensitivity analysis. According to the results, the GP model demonstrated superior performance to the GAA model. A comparison was also made between the GP program determined as the best model and five equations obtained in prior research. The GP model with the lowest error values (root mean square error ((RMSE) of 0.0515) had the best function compared with the other equations presented for rough and smooth channels as well as smooth ducts. The equation proposed for rectangular channels with rough boundaries (RMSE of 0.0642) outperformed the prior equations for smooth boundaries.
Automated Titration Analysis Enhances Productivity - White Paper
Multi-Parameter Analysis and Enhanced Productivity by the Consolidation of Inorganic Wet Chemistry Methods Summary Multi-tasking and time allocations are key components to running an efficient laboratory and decreasing the cost per analysis for pH, conductivity, alkalinity, chloride, fluoride and ammonia. The cost of analysis has risen over the years while revenue from these parameters has remained the same. Much of the high cost is due to the use of multiple instruments, multiple trained technicians and...
Emerging Asian Economies Drive the Increase in World Energy Use from 2015 to 2040
World energy consumption is projected to increase by 28% by 2040, according to the International Energy Outlook 2017 (IEO2017), released today by the U.S. Energy Information Administration (EIA). Most of the world`s growth in energy demand is projected to take place in countries outside of the Organization for Economic Cooperation and Development (OECD). China and the other non-OECD Asia nations alone account for more than 60% of the projected increase in world energy demand (Figure 1). "Transportation energy...
Application note issue #5 - Cement Analysis August 2017
Cement analysis using FP program (Fundamental Parameters) Cement is a blend of several minerals. It is critical to control the elemental composition and properties such as strength, setting, time and color. ED-XRF is being used to analyze the raw components, raw meal, clinker, and the final cement product (Na, Mg, Al, Si, S, K, Ca, and Fe in Cement, Clinker, and Raw Meal).XRF is at the heart of the control of the production process in any modern cement works and is central to the ability of the cement maker...
Analysis of precious metals in jewelry
AbstractFor thousands of years, man learned the craft of making jewelry from gold. Gold is a noble metal which does not react with the air and has a shiny yellow color.Over the years, alloying of the gold was necessary to improve its properties since pure gold is too soft to be used for jewelry. Alloying of the gold is usually by low-cost metals such as copper, zinc, silver or nickel. Since different metals have different financial value, which determines the value of the jewelry, it is important to accurately...
Quantitative Analysis of Geological Samples- X-Calibur
Abstract Quantitative and qualitative analysis of geological samples (rocks and river sediments) was performed on Xenemetrix EDXRF Benchtop Spectrometer System, model X-Calibur Objective: Perform XRF measurements on certified geological reference materials to build calibration curves for the major oxides (Na2O, MgO, SiO2, Al2O3, SiO2, P2O5, SO3, K2O, CaO, TiO2, MnO and Fe2O3) and for trace elements Cr, Co, Ni and Pb in these samples. Quantify geological samples of unknown concentrations with respect to...