IDENTIFICATION OF APPROXIMATE, GENERALISED VARIABLES FOR FORMULATION OF FIELD DATA BASED MODEL OF PVC MANUFACTURING PROCESS: THEROTICAL APPROACH

Abstract

The paper describes an approach for identification of approximate, generalized independent and dependent variables for formulation of field data based mathematical model (FDMM) for the process of PVC pipe manufacturing of an enterprise. The aim of field data based modeling for PVC pipe manufacturing process is to improve the performance of system by correcting or modifying the inputs for improving output. The work identifies major approximate, generalized process parameters and other workstation related parameters which will affect the production output and quality of the PVC pipe extrusion process using single screw extruder. Some of the identified parameters are raw materials, formation of PVC compound, in-barrel moisture, screw speed, barrel temperature, extrusion die characteristics, screw design, viscosity, torque, bulk density, die pressure, power, screw diameter, screw length, screw pitch, L/D ratio etc. Out of all the variables identified, dependent and independent variables of the PVC pipe manufacturing system are determined. A mathematical relationship is established between dependent variables as an output parameters and independent variables as a input parameters. The mathematical relationship exhibit in which input variables is to be maximized or minimized to optimize output variables. Once model is formulated it can be optimized using the optimization technique further. Sensitivity analysis is a tool which can be used to find out the effect of input variables on output variables. Simultaneously it would be interesting to know influence of one parameter over the other. The model will be useful for an entrepreneur of an industry to select optimized inputs so as to get targeted responses.