using adams insight with adamsview

OverviewThis tutorial guides you through the process of designing an ADAMS/View experiment and evaluating the results using

ADAMS/Insight. Both products are part of the MSC.ADAMS® suite of software.

ADAMS/Insight is a stand-alone product that also works with ADAMS/View, ADAMS/Engine, ADAMS/Car, and ADAMS/Chassis. ADAMS/Insight lets you design sophisticated experiments for measuring the performance of your mechanical system model. It also provides a collection of statistical tools for analyzing the results of your experiments so that you can better understand how to refine and improve your model.

This guide assumes you know how to use ADAMS/View. We also assume that you are familiar with parametric modeling capabilities including creating, modifying, and using points and design variables. In addition, you should know how to specify design objectives. For information on ADAMS/View or other MSC.ADAMS products, see the online help.

This guide also assumes that you have a moderate level of knowledge about experimental design or Design of Experiments (DOE) and that you have access to in-depth references on them.

■ Introducing the Suspension Tutorial, 3

■ Creating and Running an Experiment, 11

■ Working with Results, 25

■ Using the Monte Carlo Method, 37

Using ADAMS/Insight with ADAMS/View

Using ADAMS/Insight with ADAMS/ViewCopyright2

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1 Introducing the Suspension Tutorial

OverviewThis chapter introduces you to the suspension tutorial and gets you started. The tutorial uses a simple automotive example to illustrate the basics of ADAMS/Insight. Even if you don’t have an interest in automotive parts as a regular part of your job, we think you’ll find these instructions sufficient to help you focus on the capabilities of ADAMS/Insight.

The sections in this chapter are:

■ About the Tutorial, 4

■ Starting ADAMS/View, 5

■ Creating a Modeling Database, 6

■ ADAMS/Insight Interface, 8

This tutorial takes about one hour to complete.

Using ADAMS/Insight with ADAMS/ViewIntroducing the Suspension Tutorial4

About the TutorialThis tutorial guides you through the process of creating an experiment and analyzing results. In the initial sections, you’ll run a model through a number of simulations that you set up in the experiment, fit your data against a polynomial to determine which factors most affect the performance of your model, and publish your results to an HTML page that you can view with a Web browser.

This first tutorial uses an experiment for a model of a simple automotive front suspension system that you’ll import from an examples library. The model is a Short Long Arm (SLA), independent front suspension that you’ll exercise through its range of motion while the steering input is held constant in the straight-ahead position. You’ll monitor aspects of the model while you make modifications to it. Table 1 describes the modifications.

Table 1. Modifying and Monitoring Your Model

Geometric locations you’ll modify:

Performance attributes you’ll monitor:

Description of event:

Outer tie-rod location

You’ll track the changes in toe angle as the suspension moves through its range of motion from jounce to rebound.

Toe angle is the projected angle the wheel plane makes with the ground when viewed from above the vehicle. Toe-in is considered positive, and toe-out is considered negative.

You’ll determine how modifying the geometric location of the outer tie-rod affects toe angle. A real-world application for this event includes:

■ Determining if exaggerated changes in toe angle result in aggressive tire wear.

■ Assessing your model against a manufacturing variation.

■ Assessing packaging requirements for your model.

Using ADAMS/Insight with ADAMS/ViewIntroducing the Suspension Tutorial 5

Starting ADAMS/ViewThe section provides instructions on how to start ADAMS/View on UNIX and Windows.

Note: On Windows, you may need to set the permissions to Full Control to edit the tutorial files.

To start ADAMS/View on UNIX:

1 Copy the install_dir/ainsight/examples/ain_tut_101_aview.cmd to your working directory, where install_dir is where the MSC.ADAMS software is installed. If you cannot locate this directory, please see your system administrator.

Note: You can skip this step if you previously used the Help Copy Examples To feature to copy all of the tutorials for ADAMS/Insight. Your working directory is ain_examples/aview.

2 Type the command to start the MSC.ADAMS Toolbar at the command prompt, and then press Enter.

3 Select the ADAMS/View tool .

The ADAMS/View main window appears.

To start ADAMS/View on Windows:



2 From the Start menu, point to Programs, point to MSC.Software, point to MSC.ADAMS 2005r2, point to Aview, and then select ADAMS - View.



Creating a Modeling DatabaseYou start this tutorial by creating a modeling database that contains a new model called Suspension Assembly.

To create a modeling database:

1 In the Welcome dialog box, select Import a file.

2 If the Start in text box doesn’t show the path to your working directory, select the

Browse button . Use the Select File dialog box to navigate to your working directory, and then select OK.

3 Select OK in the Welcome dialog box.

The File Import dialog box appears.

4 In the File to Read text box, enter ain_tut_101_aview.cmd or right-click and select Browse. You can then use the Select File dialog box to open ain_tut_101_aview.cmd.

5 Select OK.

ADAMS/View imports the file, and then displays the car suspension model. It also opens the Simulation Control dialog box.

Running a Simulation

Before you create your experiment, you’ll simulate the suspension model in ADAMS/View.

To simulate the model:

■ In the Simulation Control dialog box, select the Start tool , and wait for the simulation to finish.

ADAMS/View runs the simulation.


Starting ADAMS/Insight

In this section, you’ll open ADAMS/Insight from ADAMS/View and begin creating an experiment to measure the performance of a suspension model.

To start ADAMS/Insight from ADAMS/View:

1 From the Main menu in ADAMS/View, point to Simulate, point to ADAMS/Insight, and then select Export.

The ADAMS/Insight Export dialog box appears.

2 In the Experiment text box, enter a name for your experiment or use the default.

3 Leave the default values in the Model and Simulation Script text boxes.

4 Select OK.

ADAMS/View launches ADAMS/Insight and the ADAMS/Insight main window appears.

Note: On Windows systems, ADAMS/View opens a command prompt window to launch ADAMS/Insight. This window stays open until you close ADAMS/Insight. Do not manually close the command prompt window.


ADAMS/Insight InterfaceThis section describes what you see when ADAMS/Insight first opens. Figure 1 shows the main window as it appears when you first launch ADAMS/Insight. It includes the following items:

■ Menu bar - Contains pull-down menus for File, Edit, Define, Simulation, Tools, and Help.

■ Toolbars - Contain commonly used tools for accessing files, creating and modifying designed experiments.

■ Treeview - Displays a hierarchical list of objects that you can include in an experiment. The tree is especially useful for selecting and identifying objects when you are creating a design matrix.

■ Viewport - The area of the window that displays parameters for modifying the objects you select from the treeview.

■ Status bar - Displays messages and issues prompts during your ADAMS/Insight session.

Figure 1. ADAMS/Insight Main Window

Menu bar

Toolbars

ViewportTreeview

Status bar


ADAMS/Insight Toolbars

The ADAMS/Insight main window has four toolbars:

■ Main (Experiments) toolbar - Lets you execute basic commands.

■ Design Assistant (Experiments Contents) toolbar - Helps you build and execute your experiment.

■ Work Space toolbar - Lets you execute commands on the work space.

■ Report toolbar - Lets you generate and export a report.

If you hold your mouse pointer over any tool, tip text appears giving a short description of the tool.

Tools in toolbars are arranged in the order that you’ll use them in the process of creating and executing your designed experiment. Depending on where you are in the process of creating an experiment, ADAMS/Insight enables or disables the tools (you can always display and undisplay them if you need to). This feature alerts you to the correct order of procedures to follow. For example, the Run simulations tool is disabled until you define required elements for a design matrix.

For more information on the toolbars, see the ADAMS/Insight online help.

2 Creating and Running an Experiment

OverviewThis chapter guides you through the process of creating a design matrix and running the model through a number of simulations that you set up in the experiment.


■ Creating a Design Matrix, 12

■ Running Your Experiment, 23

Using ADAMS/Insight with ADAMS/ViewCreating and Running an Experiment12

Creating a Design MatrixIn this section, you’ll create a design matrix to measure the performance of the suspension model. This section includes:

■ Promoting Candidates, 12

■ Modifying Your Factors, 15

■ Promoting Responses, 16

■ Modifying Responses, 18

■ Setting Design Specifications, 20

Promoting Candidates

The first step required to creating your designed experiment is to select the factors that you want to include in your design matrix. You select factors from the Candidates list in the treeview, and then promote them to the Inclusions list. Promoting candidates to inclusions causes them to become part of your design matrix.

To promote factors from candidates to inclusions:

1 In the treeview, select the + in front of Factors. Factors expands to reveal Inclusions and Candidates.

2 Continue by expanding Candidates, tut_101_aview, ground, and hpl_tierod_outer. Under hpl_tierod_outer, you’ll see a list of design variables that you can include in your design matrix.

Note: The treeview displays the full object hierarchy for each design variable. This tutorial will only refer to the variable name. For example, the variable hpl_tierod_outer.x appears as ground.hpl_tierod_outer.x in the treeview.

Using ADAMS/Insight with ADAMS/ViewCreating and Running an Experiment 13

3 Select the candidate, hpl_tierod_outer.x, and then move your cursor to the Design

Assistant toolbar and select the Promote to inclusion tool .

The candidate hpl_tierod_outer.x moves to the Inclusion list under Factors in the treeview.

Tip: To select more than one factor, hold the Ctrl key as you click. To promote the factors directly from the treeview, press the shortcut key F5.

4 Continue promoting the following factors:

■ hpl_tierod_outer.y

■ hpl_tierod_outer.z

The factors move from the Candidates to the Inclusions list.

The factors appear in your treeview as shown in Figure 2 on page 14.


Figure 2. Treeview Showing Factors

Name of your experiment

Factors you promoted fromCandidates to Inclusions


Modifying Your Factors

After you promote your factors, you define parameters for them in the Factor form. To learn more about factor parameters, press the F1 key from the Factor form.

To modify your factors:

1 In the treeview, find the factors in the Inclusions list. Select the factor hpl_tierod_outer.x.

The Factor form appears in the viewport, as shown next.

2 In the Factor form, set Abbreviation to tierod_outer.x


3 In the Description tab, set Units to mm.

The Units parameter is for annotation purposes. The units entered do not affect factor values.

4 In the Settings tab, enter the following:

5 Use the defaults for all remaining fields.

6 Select Apply.

ADAMS/Insight saves your factor modifications.

7 Modify the parameters for the remaining factors, hpl_tierod_outer.y and hpl_tierod_outer.z, just as you did in Step 2, above, using appropriate abbreviations for each.

Promoting Responses

Now that you have finished promoting and modifying your factors, the next step is to promote your responses for the experiment.

To promote responses from candidates to inclusions:

1 In the treeview, select the + in front of Responses.

The levels nested under Responses expand to reveal Inclusions and Candidates.

Tip: You can select the minus (-) sign in front of Factors to collapse that section of the treeview and save screen space.

2 Continue expanding the levels under Candidates and tut_101_aview. Under tut_101_aview, you’ll see a list of responses that are potential candidates you can include in your design matrix.

■ Type: Continuous

■ Delta Type: Relative

■ Settings: -5, 5


3 Select and promote the following responses just as you promoted the factors in Step 3 on page 13:

■ toe_left_REQ

■ toe_right_REQ

The responses move from the Candidates to the Inclusion list.


Modifying Responses

The modifications you’ll make to the responses are minor. You’ll add units and change one of the parameters. To learn more about response parameters, press the F1 key from the Response form.

To modify responses:

1 In the treeview, under Responses, in the Inclusions list, select the response, toe_left_REQ.

The Response form appears, in the viewport, as shown next.


2 In the Response form, enter or verify the following:

Note: Output characteristics are grayed out when you use ADAMS/Insight with ADAMS/View and other MSC.ADAMS applications. The output characteristic is set by the originating CAE application, and is displayed in the Response form for information only.

Use the defaults for all remaining fields.

3 Select Apply.

ADAMS/Insight saves your response modifications.

4 Select the second response toe_right_REQ, and make the similar modifications as in Step 2, above.

■ Output Char.: Average

■ Abbreviation: toe_left_REQ

■ Units: degrees


Setting Design Specifications

In this section, you’ll set the design objective and design type for your experiment. To learn more about setting design specifications, press the F1 key from the Design Specification form.

To specify your design objective:

1 In the Design assistant toolbar, select the Set design specification tool , or in the treeview, expand the levels under Design, and then select Specification. You can also select the Define menu, point to Experiment Design, and select Set Design Specification.

The Design Specification form appears, in the viewport, as shown next.


2 In the Design Specification form, make or verify the following selections:

Use defaults for all remaining options.

3 If you made any changes, select Apply.

4 Select the Define menu, point to Experiment Design, and then select Create Design Space.

5 Select the Define menu, point to Experiment Design, and then select Create Work Space.

Note: Selecting the Generate Work Space tool in the Design Assistant toolbar performs Steps 4 and 5.

The Work Space appears in the viewport as shown in Figure 3 on page 22. This table displays the work space matrix for the full-factorial experiment that you defined above. ADAMS/View will run a simulation for each trial defined in this matrix. The column headings are sortable and sizeable. You can also select Work Space Review to view summary information for each factor and response in your experiment.

In the treeview, at the Design level, the letters D:W appear to indicate that the Design contains a successfully generated design work space.

■ Investigation Strategy: DOE Screening (2 Level)

■ Model: Linear

■ DOE Design Type: Full Factorial


Figure 3. Work Space Matrix Before Running Trials in ADAMS/View

Note: Columns appear in the work space matrix in the order that you promote factors for inclusion.

Tip: Put your mouse pointer over column headings to display key information about the abbreviation shown.

Factors ResponsesRuns


Running Your ExperimentOnce you’ve verified the information in the Work Space, you’re ready to run the simulations.

To run the simulation:

1 In the Design Assistant toolbar, select the Run simulations tool . You can also select the Simulation menu, point to Build-Run-Load, and then select All.

ADAMS/View opens and runs the simulations defined by your experiment. The ADAMS/View Status bar displays messages showing simulation progress. The Message window also appears and displays warnings about joint locations, which you can ignore for this tutorial.

Note: This procedure builds, runs, and postprocesses all of the simulations within the ADAMS/View session. We recommend that you break up the process flow into its separate phases using the MDI INSIGHT BUILD and MDI INSIGHT LOAD commands. This is especially important when you have more than 30 trials.

2 In the information box that appears, select OK.

3 Working with Results

OverviewThis chapter guides you through reviewing the results of your analysis, fitting your data to a polynomial to determine which factors most affect model performance, and publishing results to an HTML or SYLK file.


■ Reviewing Results, 26

■ Fitting Results, 27

■ Optimizing Results, 30

■ Publishing Results, 33

Using ADAMS/Insight with ADAMS/ViewWorking with Results26

Reviewing ResultsAfter ADAMS/View completes the trials defined in your design matrix, you return to the ADAMS/Insight interface to view the results.

To return to ADAMS/Insight:

1 From the Main menu in ADAMS/View, select Simulate, point to ADAMS/Insight, and then select Display.

The ADAMS/Insight Display dialog box appears with the name of your current experiment.

2 Select OK.

ADAMS/View undisplays and the ADAMS/Insight window opens.

To view your simulation results:

■ In the treeview, under Design, select Work Space.

Simulation results from ADAMS/View appear in the design matrix as shown in Figure 4 on page 27.

■ In the treeview, under Design, select Work Space Review.

The Work Space Review offers another means of reviewing the raw data found in the work space.

Using ADAMS/Insight with ADAMS/ViewWorking with Results 27

Figure 4. Work Space Matrix After Running Trials in ADAMS/View

Fitting ResultsNow that ADAMS/View has completed the trials defined in your work space matrix, you can use ADAMS/Insight to fit your results to a polynomial or a response surface. The purpose of fitting your results is to establish a relationship between the factors and responses that you selected for the work space matrix. Fitting results includes a multiple regression. You will be able to investigate the parts of the regression in the Summary (located in the treeview under Analysis) after completing the steps on page page 27. For more information on this topic, refer to the ADAMS/Insight online help.

To fit your results:

1 From the Design Assistant toolbar, select the Fit results tool . You can also select

the Tools menu, and then select Fit New Model.

The Model Properties Summary window appears. Here, you can enter information on your model.

2 In the Regression column, select the response, toe_left_REQ.

3 In the Display column, select the type of results you want to view. For example, Figure 5 shows an example of the Fit table.

Factors ResponsesRuns


Figure 5. Results Table with Fit for Regression

For definitions of the items in the results tables, refer to the online help.

The tables also provide you with a color code that indicates the soundness of your results:

Green indicates that all fit criteria meet or exceed highest fitting thresholds

Yellow indicates that the fit criterion may bear investigation

Red indicates that the fit criterion should be investigated


To review the fit:

Here is a suggested list of steps that you can use to view and modify the fit. For more information on evaluating the fit, refer to Evaluating the Fit in the ADAMS/Insight online help.

1 Check R2 and interpret the ANOVA table.

■ Verify residuals

■ Remove outliers, if any

■ Remove terms, if necessary


■ Transform response, if necessary

■ Change model order, if needed


4 Monitor error DOF in the fit display.

As you attempt these suggestions, go back through the following steps:

1 Running a Simulation on page 6

2 Starting ADAMS/Insight on page 7

3 Promoting Candidates on page 12

4 Promoting Responses on page 16

5 Modifying Responses on page 18

6 Setting Design Specifications on page 20

7 Running Your Experiment on page 23

8 Reviewing Results on page 26

9 Fitting Results on page 27


Optimizing ResultsYou can perform single-objective and multi-objective optimization using ADAMS/Insight. Single-objective optimization involves trying to achieve a target for one scalar response; multi-objective optimization involves more than one scalar response.

You can optimize your results by:

■ Updating Factor Settings, 30

■ Updating Design Objective (Response) Settings, 32

Updating Factor Settings

Here you will learn how to optimize your model by changing factors.

To optimize your model by changing factors:

1 From the Tools menu, select Optimize Model.

The window displays your model’s factors and responses (design objectives). Only scalar responses are shown in the window. Composite responses are not displayed.


Figure 6. Optimization Window

2 Modify the current value of one or more factors.

To change the values, use the sliders next to each factor, or enter new values in the corresponding Value text boxes.

3 Press Update.

ADAMS/Insight updates the responses to reflect the changes you made to the factors. Use the Reset button to return to the nominal values for each factor. Use Reload to reload all of the optimization settings.

Note: To save your results, select Write and enter the name of the file to which you want to save. You can save to a number of different formats, including a .cmd file, which can then be read back into ADAMS/View to set the model using the specified factor settings.


Updating Design Objective (Response) Settings

Here you will learn how to optimize your model by changing design objectives (responses).

To optimize your model by changing design objectives:

1 Modify the response values as appropriate. You can change the following values:

❖ Oper: Changes the operator.

❖ Target: Changes the target value for the response.

❖ Weight: Applies a higher priority in achieving optimization for that factor. Weight values can range from 0.0 to 1.0, where 1.0 indicates greater importance.

Note: The in the slider area identifies the current value.

2 Select Fixed next to any factor that you don’t want changed during the optimization.

3 Press Run.

ADAMS/Insight updates the factor values to reflect the changes you made to the responses. Use the Reload button to return to the nominal values for each factor/response.

Note: To save your results to a text file, select Write and enter the name of the file and file type to which you want to save.


Publishing ResultsADAMS/Insight lets you save your results in .html, .slk, .bas (Visual Basic), and .m (MATLAB) formats. Once saved, you can use other utilities, such as a browser or spreadsheet program, to modify factors and see the effect on responses without performing full simulations.

To publish your results:

1 In the treeview, under Analysis, select Model_01, and then go to the Design Assistant

toolbar, and select the Export to Web, SLK, etc. tool . You can also select the File

menu, point to Export, and then select Model. In the window that opens, set the File Type to HTML File.

1 The Save dialog box appears and prompts you to save your results as xxx.htm, where xxx is the name of your file.

2 Enter a name for your file and specify the path where you would like it to reside, and then select Save.

ADAMS/Insight saves your file in the directory that you specified.

3 Continue with the next section, Modifying Values Using a Web Browser, 33, to learn how to view and use the results in the HTML file.

Modifying Values Using a Web Browser

Using the HTML page that you saved (see Step 1 through Step 3 above), you can modify the input factor values of your experiment and see the changes instantly reflected in the column that lists estimated responses. To learn more about making modifications to your experiment using an HTML or SYLK page, refer to the ADAMS/Insight online help.

To modify your factors in an HTML page:

1 If not already displayed, display the Report toolbar by right-clicking a blank space in the toolbar area, and then selecting Report.

2 Select the Display last exported item tool .

Your default browser opens the HTML page you created for your experiment.


Make sure the browser you use is able to read JavaScript.

The results of your experiment appear as shown in Figure 7 on page 34.

Figure 7. HTML Page of Results

3 Change the value for the first factor hpl_tierod_outer.x from 417 to 420, and then select Update.

The estimated responses adjust to reflect the new factor values. Notice that the value for only one of the responses, toe_left_REQ, reflects a change. Because the MSC.ADAMS model you’re working with is an independent suspension, in which the right tie rod is not coupled with the left tie rod, the changes in the factor values you made only affect the left side of the suspension.


4 You can continue to vary the factor values and investigate how changes to them affect your responses. To learn more about analyzing the results of your experiment and publishing your results to HTML or SYLK pages, refer to the ADAMS/Insight online help.

5 Close your browser window.

6 Exit ADAMS/Insight.

7 Exit ADAMS/View.

Additional Information on the Web Page

In addition to the basic factor and response information that appears when you first open the HTML file in your Web browser, you can view response statistics and response effects as a function of each factor. To view this information, use the check boxes below the list of factors. The check boxes are:

■ Contributions - This check box appears if you specified a non-zero tolerance for any factor. When present and selected, this check box displays the Tolerance Contributions table that provides the percent contribution of each factor to the tolerance of each response.

■ Stats - Displays R2, R2 adjusted, P, and R/V statistics for each response.

■ Effects - For each response, displays effects caused by varying each factor from its minimum to maximum value.

■ Nonscalar - Displays composite responses in addition to the scalar responses.

■ Plots- Opens a new window that displays a plot for each composite response (providing you specified composite responses).

■ Info - This button displays a separate window that provides summary information about the DOE parameters for the current page. It also provides Web environment information that is valuable if you need to contact MSC.ADAMS technical support.

For more information on the controls and information provided by the HTML page, refer to the ADAMS/Insight online help.

4 Using the Monte Carlo Method

OverviewThis chapter introduces you to the Monte Carlo method of analysis. The tutorial uses a launch vehicle/spacecraft separation example to illustrate the mechanics of the solution.


■ Introducing the Monte Carlo Method, 38

■ Starting ADAMS/View, 38

■ Creating a Modeling Database, 39

■ Running the Simulation, 41

■ Starting ADAMS/Insight, 42

■ Creating a Design Matrix, 43

■ Running the Experiment, 47

■ Reviewing Results, 47

This tutorial takes about one hour to complete.

Using ADAMS/Insight with ADAMS/ViewUsing the Monte Carlo Method38

Introducing the Monte Carlo MethodThe Monte Carlo method of analysis as applied to mechanical systems involves several runs with varying parameters. The goal is to provide a statistical basis for predicting mechanism performance. The foundation of the method involves characterizing parameters with a Probability Density Function (PDF). This function must be specified for each parameter that will be varied in the analysis. Examples of parameters include spring stiffnesses, damping rates, and initial rotation rates.

To learn more about the Monte Carlo method, consult a technical library. The following book is an excellent reference:

■ James E. Gentle. Random Number Generation and Monte Carlo Methods. Springer-Verlag, 1998.

You can also refer to the following online references:

■ Introduction to Monte Carlo Methods at http://csep1.phy.ornl.gov/mc/mc.html.

■ Numerical Recipes at http://www.nr.com.

Starting ADAMS/ViewThe section teaches you how to start ADAMS/View on UNIX and Windows.

To start ADAMS/View on UNIX:



2 Type the command to start the MSC.ADAMS Toolbar at the command prompt, and then press Enter.

3 Select the ADAMS/View tool .


http://csep1.phy.ornl.gov/mc/mc.html

http://www.nr.com

Using ADAMS/Insight with ADAMS/ViewUsing the Monte Carlo Method 39

To start ADAMS/View on Windows:



2 From the Start menu, point to Programs, point to MSC.Software, point to MSC.ADAMS 2005r2, point to Aview, and then select ADAMS - View.


Creating a Modeling DatabaseYou start this tutorial by creating a modeling database that contains a new model.

To create a modeling database:

1 In the Welcome dialog box, select Import a file.

2 If the Start in text box doesn’t show the path to your working directory, select the

Browse tool . Use the Select File dialog box to navigate to your working directory, and then select OK.

3 In the Welcome dialog box, select OK.

4 In the File to Read text box, enter ain_tut_141_aview.cmd or right-click and select Browse. You can then use the Select File dialog box to open ain_tut_141_aview.cmd.

5 Select OK.

ADAMS/View imports the command file, and then displays the launch vehicle model.


6 Zoom in on the top portion of the vehicle. Note the four forces between the adapter frustum and the spacecraft (they’re circled in the following figure).


Running the SimulationBefore you create your experiment, you’ll simulate the launch vehicle model in ADAMS/View. Here, you will run and animate the simulation.

To simulate the model:

1 From the Simulate menu, select Scripted Controls.

2 In the Simulation Script Name text box, enter .separation.Sep_script. Use defaults for all other simulation options.

3 Select the Play tool , and wait for the simulation to finish.

ADAMS/View runs the simulation.

4 From the Review menu, select Animation Controls.

5 Select the Play tool and wait for the animation to finish.

Note that the four forces push the spacecraft off of the launch vehicle.

6 Close the Animation Controls dialog box.

Identifying Measures

Here, you will identify the measures in the model.

To identify the measures:

1 From the Build menu, point to Measure, and then select Display.

The Database Navigator opens, displaying the four measures for the model: three angular velocity components and a translational separation velocity component.

For information on measures, refer to the ADAMS/View online help.

2 Close the Database Navigator.

3 From the Simulate menu, point to Design Objective, and then select Modify.

The Database Navigator opens.


4 Select separation.

The Database Navigator displays the four objectives representing the ending simulation values for each measure.

For information on design objectives, refer to the ADAMS/View online help.

5 Close the Database Navigator.

Starting ADAMS/InsightIn this section, you’ll open ADAMS/Insight from ADAMS/View and begin creating an experiment to measure the performance of a launch vehicle model.

To start ADAMS/Insight from ADAMS/View:

1 From the Main menu in ADAMS/View, point to Simulate, point to ADAMS/Insight, and then select Export.

2 Complete the ADAMS/Insight Export dialog box as shown below:

3 Select OK.

ADAMS/View launches ADAMS/Insight and the ADAMS/Insight main window appears.

Note: On Windows systems, ADAMS/View opens a command prompt window to launch ADAMS/Insight. This window stays open until you close ADAMS/Insight. Do not manually close the command prompt window.

In the treeview of ADAMS/Insight, note that the model has eight factors and four responses.


Creating a Design MatrixIn this section, you’ll create a design matrix to measure the performance of the launch vehicle model. This section includes:

■ Promoting Candidates, 43

■ Modifying Factors, 45

■ Setting Design Specifications, 46

Promoting Candidates

The first step required to creating your designed experiment is to select the factors that you want to include in your design matrix. You select factors from the Candidates list in the treeview, and then promote them to the Inclusions list. Promoting candidates to inclusions causes them to become part of your design matrix.

To promote factors from candidates to inclusions:

1 In the treeview, select the + in front of Factors. Factors expands to reveal Inclusions and Candidates.

2 Continue by expanding Candidates, and then separation. Under separation, you’ll see a list of design variables that you can include in your design matrix.

3 Select all of the candidates by holding down the Ctrl key while mouse-clicking each candidate.

4 Move your cursor to the Design Assistant toolbar and select the Promote to inclusion

tool .

The candidates move to the Inclusion list under Factors in the treeview.

Tip: To promote the factors directly from the treeview, press the shortcut key F5.


5 In the treeview, select the + in front of Responses.

The levels nested under Responses expand to reveal Inclusions and Candidates.

Tip: You can select the minus (-) sign in front of Factors to collapse that section of the treeview and save screen space.

6 Continue expanding the levels under Candidates and separation. Under separation, you’ll see a list of responses that are potential candidates you can include in your design matrix.

7 Select and promote all of the responses just as you promoted the factors in Step 3 on page 43.

The responses move from the Candidates to the Inclusion list as shown inFigure 8.

Figure 8. Treeview Showing Inclusions

Responses youpromoted from

Name of your experiment

Factors you promoted fromCandidates to Inclusions

Candidates to Inclusions


Modifying Factors

After you promote your factors, you define parameters for them in the Factor form. To learn more about factor parameters, press the F1 key from the Factor form.

To modify your factors:

1 In the treeview, find the factors in the Inclusions list. Select the factor spacecraft_lxx.

2 In the Factor form, select the Variation tab.

3 Set Distribution to Normal.

4 Select the Calculator tool next to the Standard Deviation text box.

The Specify Variation Characteristics dialog box appears.

5 Select Tolerance, enter 40 in the corresponding text box, and then select OK.

6 Select Apply in the Factor form.

ADAMS/Insight saves your factor modifications.

7 Modify the parameters for the remaining factors as follows. Be sure to select Apply after modifying each factor.

Factor: Variation Distribution:

Tolerance:

spacecraft_lyy Normal 30

spacecraft_lzz Normal 35

spacecraft_mass Uniform 23

spring_rate_nx Normal 200

spring_rate_nz Normal 200

spring_rate_px Normal 200

spring_rate_pz Normal 200


Setting Design Specifications

In this section, you’ll set the design objective and design type for your experiment. To learn more about setting design specifications, press the F1 key from the Design Specification form.

To specify your design objective:

1 In the Design assistant toolbar, select the Set design specification tool.

2 Complete the Design Specification form as shown next.

3 Select Apply.

4 To create the work space, select the Generate Work Space tool.

The Work Space appears in the viewport. Note that the response columns are empty.


5 From the treeview, under Design, select Work Space Review.

6 Select a factor and view its histogram plot.

Running the ExperimentOnce you’ve verified the information in the Work Space, you’re ready to run the simulations.

To run the simulation:

1 In the Design Assistant toolbar, select the Run simulations tool. You can also select the Simulation menu, point to Build-Run-Load, and then select All.

ADAMS/View displays and runs the simulations defined by your experiment.

2 In the information window that opens, select OK.

Note: This procedure builds, runs, and postprocesses all of the simulations within the ADAMS/View session. We recommend that you break up the process flow into its separate phases using the MDI INSIGHT BUILD and MDI INSIGHT LOAD commands. This is especially important when you have more than 30 trials.

Reviewing ResultsAfter ADAMS/View completes the trials defined in your design matrix, you return to the ADAMS/Insight interface to view the results.

To return to ADAMS/Insight:

1 From the Main menu in ADAMS/View, point to Simulate, point to ADAMS/Insight, and then select Display.

The ADAMS/Insight Display dialog box appears.

2 Verify the name of your current experiment, and then select OK.

The ADAMS/Insight window replaces the ADAMS/View window.


To view your simulation results:

1 In the treeview, under Design, select Work Space.

Simulation results from ADAMS/View appear in the response columns.

2 In the treeview, under Design, select Work Space Review.

3 Select the first response, r_01.

The histogram for this response appears above the table as shown in Figure 9. The table includes mean, variance, standard deviation, minimum, maximum, and range values for each factor and each response.

4 Select the other responses to view their histograms.

Figure 9. Histogram Plot for r_01

using adams insight with adamsview

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