TITLE:
Comparison of DOE Programs
AUTHORS:
Mani Bharadwaj Tirupathi, Yousuf Pasha Shaik, Jens Schuster
KEYWORDS:
Design of Experiments (DOE), Injection Molding, Extrusion, Vartm, 3D Printing, Significance, Minitab
JOURNAL NAME:
Open Access Library Journal,
Vol.11 No.3,
March
29,
2024
ABSTRACT: The Design of Experiments (DOE) approach is a way of applying statistics to experimentation in a methodical manner. Because experimenting is so common in industries, most engineers (and scientists) end up analyzing their trials with statistics. Although there is a general set of rules and processes for performing the design of experiments (DOE), the literature lacks a recommended course of action for identifying and selecting the optimal design of experiments from a vast number of viable designs. As a result, the primary goal of this project is to evaluate four manufacturing methods, namely injection molding, extrusion, vacuum-assisted resin transfer molding, and 3D printing. Each process’s input and output parameters have been examined out of which four input parameters and four output parameters of every process have been chosen to evaluate them by altering their characteristics and determining the significance of the processes using “Minitab” ANOVA analysis. This will aid future perception of the optimization function employed in statistical analysis.