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Robust Design: Reducing Variation and its Impact

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Robust Design:

Reducing Variation and its Impact

Design Production Measurement Reliability Thomas J. Howard

Head of Robust Design Group

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2014 CT Scanning , Munich – Robust Design

2 DTU Mechanical Engineering

Exemplifying Robust Design

Functional Performance: Chair must not rock more than 2 mm

Design Parameters:

1. Length of legs 2. Angle of legs 3. Flatness of seat 4. Flatness of

ground 5. …

Design Parameters:

?

Functional ∝

Variance Design

Sensitivity Parameter

Variance 𝐱𝐱

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Six Theta ®

Robust Design

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Six Theta ® Robust Design: Design Clarity

Parts have intended constraining surfaces, but too many potential and unnecessary

constraining surfaces lead to a lack of predictability in terms of how the part will actually function.

The intended and actual number of

constraining surfaces can be visualised in a cockpit, thereby providing an overview of the current state of sensitivity in the design.

Impact of ambiguous interfaces:

• Variation in performance

• Unclear tolerance chains

• Unclear load transmission

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Six Theta ® Robust Design Methods

Issues faced

Unpredictable wear and life of turbines, costly and frequent maintenance Posible quality issues damaging premium brand image, missing launch dates

Long rampup times, delayed launches and low yields due to safety critical product

Kinematic design

Design Clarity

Six Theta methods Theta Six

KPIs Lagging

Indicators

Axiomatic

Design Tolerance

Design Production

Yield Customer

Complaints

Service Requests Defect ID

Parameter

Sensitivity Monte Carlo

Planning Concept

Design System

Design Detail

Design Testing Ramp

Up Use Mainte

nance Disposal

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Six Theta ® Robust Design Indicators

Planning Concept

Design System

Design Detail

Design Testing Ramp

Up Use Mainte

nance Disposal

Issues faced

Kinematic design

Design Clarity

Unpredictable wear and life of turbines, costly and frequent maintenance

Posible quality issues damaging premium brand image, missing launch dates

Long rampup times, delayed launches and low yields due to safety

critical product

Parameter Sensitivity

Axiomatic

Design Tolerance Design

Predicta -bility Index Theta

Value Mobility

Coupling Degree

Tolerance Index

Production

Yield Customer

Complaints Service Requests Defect ID

Monte Carlo Yield Estimate

Six Theta methods Theta Six

KPIs Lagging

Indicators

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In general Robust Design focusses on the Design phase removing reliability issues before production or

measurement. However, some nasties sneak through from

time to time, where CT scanning could assist.

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GM Ignition Switch Recall

• fine of $35 million

• recall of 2.6 million vehicles

• death of at least 13 people.

8

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Ignition Swtich Mode of Action

9 START

OFF

ACC

ON

towards START

Rotational movement of switch plate Locking switch positions

The position of modes “ON” (or Run) and

“Accessory” are defined by notches in the switch plate. A plunger, forced by a spring, extends into the notches, intending to hold the mechnism stable until the key is turned.

Slipping/Bouncing

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McSwain Engineering CT Scans

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McSwain Engineering CT Scans

Failed Product (2005) New Version (2008)

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2005 – 3.68mm

McSwain Engineering images

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2006 – 3.71mm

McSwain Engineering images

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2007 – 3.95mm

McSwain Engineering images

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2007 – 4.77mm

McSwain Engineering images

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16 DTU Mechanical Engineering

2008 – 5.08mm

McSwain Engineering images

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The new chevy – 8.00mm

McSwain Engineering images

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McSwain Engineering images

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Minimal constraints theory!!

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LONG contact surfaces

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15,7 15,8 15,9 16,0 16,1 16,2 16,3 16,4 16,5 16,6 16,7

1 2 3 4 5 6 7 8 9 10 11

38,18 38,22 38,26 38,30 38,34 38,38 38,42

1 2 3 4 5 6 7 8 9 10 11

Specified nominal values Measured variation of example ignition switches

h 1 =16,3 mm

Dimensions of components

Dimensions of assembled device

h 2 =38,2 mm

Source: Eifler T., Olesen J.L. and Howard T.J.: Robustness and Reliability of the GM Ignition Switch - A forensic Engineering case.

In: Howard T.J. and Eifler T.: Proceedings of the International Symposium on Robust Design - ISoRD14. Copenhagen, Denmark.

Switch number

Switch number Height h2 [mm]

Nominal value

Nominal value Height h1 [mm]

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CT Image by DTI

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CT Image by DTI

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McSwain Engineering CT Scans

McSwain Engineering images

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CT Scanning as a great tool for Forensic Engineering to uncover sources of variation…

…when the product is not robust

enough!

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GMσD

Global Manufacturing Variatiσn Database

Horizon 2020 application

Factories of the Future (FoF-14-2015)

Topic: Integrated design and management of production machinery and processes Deadline: Feb 2015

Duration: 4years

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Challenges in Industrial Practice

Current practices rely on subjective jugement

or pilot production

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Aim – Design to Process Capabilities (DtPC)

Conceptual Design

Pilot Production

Ramp Up / Production

Measurement reports

Evaluation of Production capabilities

MσD

Detail Design

Tolerance Activities

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PMσD Structure

(Local Manufacturing Variation Database)

Manufacturing

Pr od uct d evel op m en t

Assembly

Planning

Concept Design System Design

Detail Design

PMσD

Measurement reports Design Guidelines/

Interface/CAD plugin

PM σD: Benefits & Challenges for the generalisation of data

feature-based variation data with reference to GD&T annotation

Interaction effects – Influence of product characteristics

Interaction effects – Influence of machinery design

 Alignment of measurement procedures and (advanced) technologies

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S h eet m et al for mi ng

mandrel roller tool

blank

GMσD Structure

(Global Manufacturing Variation Database)

In ject io n moul di ng

Anonomysed variation data

GMσD

Design Interface

Quantifying manufacturing capabilities across processes and

industries, leading to a new standard for tolerance allocation.

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Questions?

Thomas J. Howard

Head or Robust Design Group Email: thow@mek.dtu.dk

Tel: 0045 45 25 47 41

Skype: thomas-james-howard

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