Statistical modeling and investigation of the changes of Thickness and process time in thermo-mechanical tube spinning Process using design of experiments

Abstract

Tube spinning technology is one of the effective methods of manufacturing large diameter thinwalled shapes. In this research, effects of major parameters of thermomechanical tube spinning process such as preform's thickness, percentage of thickness reduction, mandrel rotational speed, feed rate, solution treatment time and aging treatment time on the process time and changes of thickness for fabrication of 2024 aluminum spun tubes are studied using Design Of Experiments (DOE). The statistical results are verified through some experiments. Results of experimental evaluation are analyzed by variance analysis and a mathematic model for predicting process time and changes of thickness is obtained. Finally using this model, input parameters for optimum production are achieved. Copyright © (2008) by Computers & Industrial Engineering.