Tutorials

DESIGN OF EXPERIMENT (DOE)

0 0 Beginner
DESIGN OF EXPERIMENT Design of experiment (DOE) is a body of knowledge, based upon statistical and other scientific disciplines, for efficient and effective planning of experiments and for making sound inferences from experimental data. In an experiment, we deliberately change one or more process variables (or factors) in order to observe the effect the changes have on one or more response variables. The (statistical) design of experiments (DOE) is an efficient procedure for planning experiments so that the data obtained can be analyzed to yield valid and objective conclusions. Design of experiment (DOE) defines the: 1 Population to be studied, 2 Randomization Process 3 Administration of Treatments, 4 Sample size requirement 5 Method of statistical analysis

Strucutural Optimization Analysis-Ansys Design Explorer

0 0 Expert
This tutorial focuses on optimization analysis to static analysis application. 1-Deciding input & output variables 2-What if analysis 3-Design points 4-DOE 5-Defining boundaries 6-Response surfaces 7-Sensetivity graphs 8-Defining objective function and constrains. 9-Validate the candidates