Course Assessment — Introduction to Methods for PIDO in Ansys optiSLang
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Question 1 of 11
1. Question
What is needed to start Process Integration in Ansys optiSLang? Select the two best options.
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Question 2 of 11
2. Question
We can connect Ansys tools, third-party tools, and in-house tools to Ansys optiSLang. State whether this statement is true or false.
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Question 3 of 11
3. Question
Process Integration means to automate the manual CAE process. With Ansys optiSLang you can work _____. Select the option which completes the statement.
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Question 4 of 11
4. Question
The Solver Wizard helps in Ansys optiSLang to set up an automatized CAE workflow which uses _____ to connect to your CAE tools. Select the best option which completes the statement.
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Question 5 of 11
5. Question
The optimization algorithms in Ansys optiSLang change design parameters to improve an existing design. What we want to improve, is formulated as _____ and additional restrictions may be given as Constraints. Select the best option.
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Question 6 of 11
6. Question
In a Sensitivity Analysis in Ansys optiSLang, the Design of Experiment (DoE), the Metamodel of optimal Prognosis (MOP) and the Sensitivity measures are generated _____. Select the best option.
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Question 7 of 11
7. Question
What are the advantages of a Sensitivity Analysis in Ansys optiSLang? Select the best options.
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Question 8 of 11
8. Question
In a development process, with Sensitivity Analysis and Optimizations you learn step by step. Based on the first results you may adjust e.g., the Simulation Model, the Parameterization or the Algorithm. State whether this statement is true or false.
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Question 9 of 11
9. Question
If we formulate two separate objectives and one constraint to improve performance, reduce cost and to keep the mass under a given limit. This is a _____. Select the best option to complete the statement.
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Question 10 of 11
10. Question
Optimization has to be conducted using _____. Select the best option to complete the statement.
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Question 11 of 11
11. Question
Optimization on the Metamodel of Optimal Prognosis (MOP) can be done in case of good prognosis quality and the best design(s) can be validated with the real solver automatically. What are the advantages of MOP usage in the optimization? Select the two best options.