tailieunhanh - Crankshaft Optimization Using Behavior Modeling Pro/ENGINEER Wildfire 2.0

Sensitivity Analysis Sensitivity analysis allows you to analyze how various measured quantities (parameters) vary when a model dimension or an independent model parameter is varied within a specified range. The result is a graph for each selected parameter showing the value of the parameter as a function of the dimension. This provides for understanding exactly how geometric changes to your model will affect your engineering goals or specifications. | njtt ME-430 INTRODUCTION TO COMPUTER AIDED DESIGN Crankshaft Optimization Using Behavior Modeling Pro ENGINEER Wildfire Dr. Herli Surjanhata The engine designer has a requirement to keep the crank in balance and an objective of reducing the crank mass to enable quicker engine startup. Four basic studies will be performed on the crankshaft model Analysis Features Sensitivity Study Feasibility Study Optimization Study Sensitivity Analysis Sensitivity analysis allows you to analyze how various measured quantities parameters vary when a model dimension or an independent model parameter is varied within a specified range. The result is a graph for each selected parameter showing the value of the parameter as a function of the dimension. This provides for understanding exactly how geometric changes to your model will affect your engineering goals or specifications. Feasibility and Optimization Studies Feasibility and optimization studies allow you to have the system compute dimension values that cause the model to satisfy certain user-specified constraints. In a feasibility study you define the following A set of model dimensions to vary. A range within which each dimension can vary. A set of constraints that you want the design to satisfy. The analysis constraints are defined as equalities or inequalities that use parameters which are the result of an analysis feature and constant values. A sample constraint may appear as follows length or distance 11. To perform a feasibility study the system does the following 1 The system attempts to find a set of dimension values within the specified ranges that satisfies all of the constraints. If a solution is found the model display changes to show these dimensions modified to the new values. You can either accept these new dimensions or undo the changes. The model can be reverted to its state before the feasibility study. There can be many solutions in a feasibility study that satisfy all constraint. The system converges