Improving fuel utilization in steel mill operations using linear programming
Abstract This paper describes the use of linear programming to improve the fuel utilisation at a major Midwestern steel mill. In particular, linear programming is used to determine an efficient fuel allocation plan for this steel mill, which reduces the total fuel costs for the steel mill operations. The efficient fuel allocation plan that is developed utilises two externally purchased fuels: natural gas and fuel oil, and two gases: blast furnace gas and coke plant gas, which are internally generated as natural by-products of the production process. Test results from the application of the linear programming model are presented and discussed, and indicate that considerable cost savings can be achieved by utilizing a fuel allocation plan which more effectively utilizes the by-product gases which are produced within the steel making process.
Evaluation of a Coiling Temperature-Control Procedure for a Hot Strip Mill
The techniques of statistical data analysis, mathematical model building, and digital computer simulation have been discussed separately in the literature. However, collective application of these techniques for solving an industrial problem is not ofte..
Compressive strength comparison and crystal morphology of dental cements.
Three dental cements were aged as cylindrical specimens in distilled water for periods up to 2 years. Zinc phosphate cement showed no change in compressive strength over the aging time, while glass ionomer and polycarboxylate cements increased in compressive strength. Energy dispersive spectroscopy of the crystalline surface of the zinc phosphate cement samples indicated a wide range of crystalline structures and compositions.