3D scanning in automotiveandaerospace · 2017-08-31 · 3. KEYEVOLUTIONSIN 3D SCANNING 1.Precision

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PROCESS INNOVATIONTHROUGH MEASUREMENT

INTEGRATION

OVERVIEW - TRENDS3D scanning in automotive and aerospace

2017-08-29

Geert Creemers, CEO ARGON Measuring Solutions

Advantages3D scanning

CONTENTS

ARGONIN A NUTSHELL

Technologies

Keyprogression

areas

Global picture

Move toproduction

line

ExamplesAt-LineIn-line

ChallengesConclusion

2

ABOUT ARGON

A LEADER IN: • 3D measurement services• Automated 3D inspection solutions• Unique mix of 3D technology know how• Software solutions & fixturing

TO ACHIEVE: more efficient manufacturing processes forbetter 3D quality:• faster product launches, • more stable series production

CURRENT FOOTPRINT: • Offices in Belgium, The Netherlands and Germany• 40 staff – network of partners• Focus on automotive and aerospace

3

1. TECHNOLOGY OVERVIEW (1)

– Portable CMMs Precision 0.1mm – 0,01mmArticulated Arm, Laser Tracker, Laser Radar

4

1. Tactile measurements

– CMM Precision 0.1mm – 0,001mm

1. TECHNOLOGY OVERVIEW (2)

2. 3D scanning– Line Scanners Precision 0.1mm – 0,03mm

5

– Structured Light Precision 0.1mm – 0,005mm

1. TECHNOLOGY OVERVIEW (3)

2. 3D scanning

– Time of flight Precision 0.1mm – 0,03mm

6

Surphaser –Accurate Long Range scanner

Accurate 3D (discrete) measurements

Used in combination with StructuredLight Scanning

– Photogrammetry Precision 0.1mm – 0,05mm

2. ADVANTAGES 3D SCANNING (1)

1. Information

7

2. ADVANTAGES 3D SCANNING (2)

2. Speed of acquisition

3D scanner mounted on a robot

leads revolutionises manufacturing

8

3. KEY EVOLUTIONS IN 3D SCANNING

1. Precision <0,1 mm2. Dealing with reflection/colours3. Automation

1990 2000 2010 2020

9

These advances opened up dramatically the use of 3D scanning

‘80% quality control by 3D scanning in 2025’ - Mr. Neukirch, VW

4. GLOBAL PICTURE (1)

10

Key Findings - 3D Metrology MarketMarketsandMarkets study 2016:

– DRIVERS• Need to capture 3D data for modelling and analysis• Increasing focus on Quality Control

– CONSTRAINTS• High cost• Lack of expertise

– OPPORTUNITIES• Growing need for services• Need for highly automated systems

– CHALLENGE• Offer simplified software solutions

10

4. GLOBAL PICTURE (2)

Strongest growth expected in services because of technological complexity

• after sales service• measurement service – consulting/programming

11

4. GLOBAL PICTURE (3)

12

Automation and precision key drivers for accelerated adoption of ODS

*ODS = Optical Digitizer & Scanners VMM: 3D Video Measuring Machines

4. GLOBAL PICTURE (4)

13

Strongest growth of ODS in Architecture – Construction

4. GLOBAL PICTURE: INDUSTRY 4.0

14

Sensor movements - Reporting Part handling

Feeding information fastly to relevant stakeholdersIntegrated into client MES

Human Machine Interfaces Easy-to-use Easy-to-understand

5. MOVE TO THE PRODUCTION LINE

15

QC Lab

At-line Cel

In-line Cel

1. R&D

1 - 5 days feedback

1-5 hr feedback

2” – 6’ feedback

1.

2.

3.

4.

Reduced feedbackloops

Areas of use of 3D scanning

2. QC • First Article Inspection• Tooling

4. In-line series inspection

3. QC Series Inspection

Examples

At-line implementations

16

6. EXAMPLES – AT LINE

17

Introduction of scanbox concept:• Standardised cells• ‘Optical CMM’• 1 – 14 day installation

Future trends:• Software improvement:

Autoprogramming

AUTOMATED3D INSPECTION CELL

FOR AIRFOILS

90’

MMT measurement

BEFORE

15’

measurementcycle

WITH ARGON

UP TO 6x

FASTER

AUTOMATICINSPECTION

6. EXAMPLE – AT LINE - AEROSPACE

NoTraining

Slide 18

NLB7 This is not the Good picture. We should show a picture of the Pylon itself. Maybe put bigger the sketch (Bravo Machine) and a photo of the cell?Nicolas Lachaud Bandres, 16/06/2017

AUTOMATED3D INSPECTION CELLFOR AIRBUS PYLONS

90’

manual measurement

BEFORE

45’

measurementcycle

WITH ARGON2xFASTER

HEXAGON TECHNOLOGY:DEA BRAVO HA

AUTOMATICINSPECTION

6. EXAMPLE - AT-LINE - AEROSPACE

No Training

Slide 19

NLB7 This is not the Good picture. We should show a picture of the Pylon itself. Maybe put bigger the sketch (Bravo Machine) and a photo of the cell?Nicolas Lachaud Bandres, 16/06/2017

Examples

In-line implementations

20

6. EXAMPLES IN-LINE - AUTOMOTIVE

21

• Highly automated - robots• Two types of in-line measurements

– Expensive sensors (100k euro/head)• global measurements feedback to operators - engineers

– Cheap 3D sensors (10k euro)• local measurements feedback to machines - robots

6. EXAMPLES IN-LINE – AEROSPACE

22

Final Assembly:• Manual systems: used by operators• Automation:

– Only starting now – (cost coming down)– First Cobot projects

• Human Machine Interfaces are critical

MEASUREMENTASSISTEDASSEMBLY

ASSEMBLY ASSISTANCE FOR THE A330 WINGBOX ASSEMBLY

3 operators 1 measurement

services assistant

BEFORE

2 operators can perform

the assembly tasks

WITH ARGON200%EFFICIENCY

IMPROVEMENT

6. EXAMPLE – WINGBOX ASSEMBLY

LASERGUIDANCE

UP TO 1H30 (in worst case) to park A380 in the Garage

BEFORE WITH ARGON

10 MIN. parking

in any case

HEXAGON TECHNOLOGY:LEICA ICON robot I50LEICA GEOCOM

900%FASTER

6. EXAMPLE – PARKING AIRPLANES

7. CHALLENGES

26

3D scanning is able to deliver Comprehensive – Insightful information,

but challenges remain

1. Data overload • Data versus Actionable Information

2. Easy to use• Predictive analytics• Custom applications which directly yield simple results

3. Easy to access• Cloud solutions• Connected

7. CONCLUSION

27

3D scanning in automotive and aerospace:

Mainly Line Scanning and Structured Light scanning

Reached turning point in terms of by 2013• Precision• Automation

Strongest growth expected • 3D scanning • Services• Software applications

Move to in-line measurement unstoppable

Challenges remain:• Data overload• Easy to use• Easy to access

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