Industrial Engineering

Biography

Biography: N S V Kameswara Rao

Abstract

Several Scientific, Engineering and Natural Phenomena are complex and are not amenable for exact solutions. These phenomena are broadly classified in terms of the following mathematically different classes of problems: Equilibrium problems; Eigen value problems; Propagation problems and other problems not covered in these categories. Analysis of industrial structures and components of different shapes, sizes operating under diverse environments is the starting step for proper design and subsequent optimization processes. These components usually are in static or dynamic equilibrium besides thermal or other influences. Their analysis falls mostly in one or more of the above categories of problems. With the ready availability of high performance PCs, they are usually analyzed either by Finite Element methods (FEM) or efficient numerical procedures. Suitable algorithms have to be identified and or developed for implementation of these numerical procedures logically for computing the desired solutions. An algorithm is the sequence of logical steps required to perform a specific task such as solving a problem. It is analogous to a recipe. Important phenomena in Science and Engineering pertaining to the above classes of problems are reviewed. Algorithms commonly used for solving these phenomena are highlighted. Application of these phenomena for solving specific problems of industrial structures and components are outlined. Several examples of each of these classes of problems are illustrated. The vastly different and distinctive features of these problems are identified. The various numerical procedures available (besides the above commonly adopted algorithms) for solving these distinctive mathematical equations are presented. The algorithms and their characteristics for possible application to these problems are discussed. The usual shortcomings of these algorithms, error analysis, diagnostic and remedial measures are indicated. The need for developing efficient and accurate algorithms is stressed. Quality control aspects are discussed. Flow charts for these algorithms are presented for ready application in the analysis of Science and Engineering problems in general and industrial structures and components in particular.