# Microsoft PowerPoint - 5 Assignement and lab tutorial

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8/7/2019 Microsoft PowerPoint - 5 Assignement and lab tutorial

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Tutorial #4

1. Assignment #3 help2. Lab preparation / help

3. Tutorial questions

Step1: Baseline the existing state

Run the simulation 15 times(with the input set at thenominal value)

Run a descriptive stats tounderstand the existingmean, standard deviation anddistribution.

1 5 1. 5 1 5 2. 0 1 5 2. 5 1 53 .0 1 5 3. 5 1 5 4. 0

95% Confidence Interval for Mu

152 .0 152.2 152.4 152 .6 152.8 153.0 153 .2 153.4

95% Confidence Interval for Median

Variable: Initial base

A-Squared:P-Value:

MeanStDevVarianceSkewnessKurtosisN

Minimum1st QuartileMedian3rd QuartileMaximum

152.312

0.607

152.095

0.3570.407

152.7710.829

0.686770-4.9E-02-1.16296

15

151.510152.080152.920153.380154.130

153.230

1.307

153.350

Anderson-Darling Normality Test

95% Confidence Interval for Mu

95% Confidence Interval for Sigma

95% Confidence Interval for Median

Descriptive Statistics

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Step 2: Design a 2-level experiment using

Minitab Explain why you selected the

resolution you did. ( I would not recommend a

full factorial OR a resolutionIII.)

Step 3: Run the DOE

If you selected a resolution IV you will have 16 runsto complete. (In this case) Run 1 will require allControl factors to be set to their minimum value.

Run 1 is with allsettings at -1

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Step 4: Analyze the data

Add a column entitled Response and inputthe value from each DOE simulation.

Step 4: Analyze the data

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Step 5: Main effect plot

Youll need toenter the setuppage.

Step 6: Create System Model From the analysis

determine whichparameters arerelevant.

From the sessionwindow inMinitab identifythe constant termsfor the relevantparameters.

100500

B

C

AE

A

AC

AB

AF

AD

G

F

AG

D

E

BD

Pareto Chart of the Standardized Effects(response is Response, Alpha = .10)

A: AB: BC: CD: DE: EF: FG: G

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Step 6: Create System Model

Under the tools menu Solver Select the target cell (what you want to maximize, minimize or solve

to a value). Select the cells which are independent (the cells that can change). List the constraints on the changing cells. (in this case all cells must

be between 1 and 1) Hint: Select coded units (1,0,-1)in Minitab and convert to actual

values later.

Step 7: Rerun the optimal setting

Excel solver willidentify the ideal valuefor each input X.Rescale it from

-1 1 to the true range.

Enter this into thesimulation tool andobtain the distributionof the optimized value.

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Commonly Asked Questions Are the CF in the assignment continuous?

Yes, because the control factors are quantitymeasurements as opposed to discrete items

Once you have your optimal value in coded units (+1and -1) then interpolate to get this into "real values"(the numbers that fit into simulation).

For example if you get A=-1 for the optimal soln thenconvert this to A= 609.7

Helicopter Lab

Robust DesignStatic Taguchi DOE

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The Helicopter LabLearning Objectives:

Develop a helicopter concept prototype Conduct a Robust Design DOE Two step optimization using an L9 array.

Materials

Light weight paper (Provided) Heavy weight paper (Provided) Scissors (Bring 2 pairs per group) Stop watches (Bring 1 per group)

Creativity

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The Voice of the Customer A helicopter that will always rotate . The helicopter to stay in the air as long as possible Customers will use different paper types since a

common type of paper will not always be available(noise).

Due to time and cost constraints you must use an L9.

Develop your Control Factors & levels

You must pick 4 Control Factors (To fit an L 9 array).

For each Control Factor you must select 3levels.

You may need to find creative ways to

include all contributing factors.

Watch out for Interacting ControlFactors!!!

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Information about the L9 Array Columns 3 & 4 are confounded/aliased with

Columns 1 & 2! So if there are interactions between factors

in columns 1 & 2 they will be confoundedwith the factors in columns 3 & 4

What does this mean to you?

Noise Factors

Noise 1

Heavy WeightPaper

Noise 2

Light WeightPaper

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What are the responses? Will always rotate

Minimum specified RPS

Stay in the air as long as possibleMaximize air time

Analyzing the Data

Identify the Control Factors that willmaximize S/N

Identify the Control Factors that willshifting to target

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Confirmation Experiment Using the optimized set points for your

Control Factors and with the mean shiftedto maximize flight time and S/N

Check does your confirmation run matchyour predicted run?

How to Build a Helicopter

Start with a strip ofpaper cut per marksabove

Fold the wing andbody

Drop from requiredheight.

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Pre-Lab Work:Prior to the lab please hand in the following:1. Various concept (Include as an appendix)2. P-diagram

A comprehensive list of possible noisesA list of CP candidates

A list of possible responses.Input type

3. A suggested approach to testing (full factorial, Taguchi matrix, etc) alongwith justification

4. A strategy to handle the noises (compounded, worst case noise, Taguchi,etc) along with justification. (1 page max)

5. Explore the various concepts (Create models and try out a few). You dontneed to hand this in but you should have an idea of what you would like topursue once you begin the lab.

6. Bring the following: A ruler, pencil, scissors and a stopwatch.

YOU MUST TRY A FEW CONCEPTS BEFORE COMING!!!!