3D scanning in automotive and aerospace OVERVIEW - TRENDS

Transcription

1 PROCESS INNOVATION THROUGH MEASUREMENT INTEGRATION 3D scanning in automotive and aerospace OVERVIEW - TRENDS Geert Creemers, CEO ARGON Measuring Solutions

2 CONTENTS ARGON IN A NUTSHELL Technologies Advantages 3D scanning Key progression areas Global picture Move to production line Examples At-Line In-line Challenges Conclusion 2

3 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 for better 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

4 1. TECHNOLOGY OVERVIEW (1) 1. Tactile measurements CMM Precision 0.1mm 0,001mm Portable CMMs Precision 0.1mm 0,01mm Articulated Arm, Laser Tracker, Laser Radar 4

5 1. TECHNOLOGY OVERVIEW (2) 2. 3D scanning Line Scanners Precision 0.1mm 0,03mm Structured Light Precision 0.1mm 0,005mm 5

6 1. TECHNOLOGY OVERVIEW (3) 2. 3D scanning Time of flight Precision 0.1mm 0,03mm Surphaser Accurate Long Range scanner Photogrammetry Precision 0.1mm 0,05mm Accurate 3D (discrete) measurements Used in combination with Structured Light Scanning 6

7 2. ADVANTAGES 3D SCANNING (1) 1. Information 7

8 2. ADVANTAGES 3D SCANNING (2) 2. Speed of acquisition 3D scanner mounted on a robot leads revolutionises manufacturing 8

9 3. KEY EVOLUTIONS IN 3D SCANNING Precision <0,1 mm 2. Dealing with reflection/colours 3. Automation These advances opened up dramatically the use of 3D scanning 80% quality control by 3D scanning in Mr. Neukirch, VW 9

10 4. GLOBAL PICTURE (1) Key Findings - 3D Metrology Market MarketsandMarkets 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 10

11 4. GLOBAL PICTURE (2) Strongest growth expected in services because of technological complexity after sales service measurement service consulting/programming 11

12 4. GLOBAL PICTURE (3) Automation and precision key drivers for accelerated adoption of ODS *ODS = Optical Digitizer & Scanners VMM: 3D Video Measuring Machines 12

13 4. GLOBAL PICTURE (4) Strongest growth of ODS in Architecture Construction 13

14 4. GLOBAL PICTURE: INDUSTRY 4.0 Sensor movements - Reporting Part handling Human Machine Interfaces Easy-to-use Easy-to-understand Feeding information fastly to relevant stakeholders Integrated into client MES 14

15 5. MOVE TO THE PRODUCTION LINE days feedback QC Lab 3. At-line Cel 1-5 hr feedback Areas of use of 3D scanning 1. R&D 2. QC First Article Inspection Tooling 4. In-line Cel 2 6 feedback Reduced feedback loops 3. QC Series Inspection 4. In-line series inspection 15

16 Examples At-line implementations 16

17 6. EXAMPLES AT LINE Introduction of scanbox concept: Standardised cells Optical CMM 1 14 day installation Future trends: Software improvement: Autoprogramming 17

18 6. EXAMPLE AT LINE - AEROSPACE AUTOMATED 3D INSPECTION CELL FOR AIRFOILS AUTOMATIC INSPECTION BEFORE 90 UP TO 6x FASTER WITH ARGON 15 MMT measurement No Training measurement cycle

19 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

20 6. EXAMPLE - AT-LINE - AEROSPACE AUTOMATED 3D INSPECTION CELL FOR AIRBUS PYLONS AUTOMATIC INSPECTION BEFORE 90 2x FASTER WITH ARGON 45 HEXAGON TECHNOLOGY: DEA BRAVO HA manual measurement No Training measurement cycle

21 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

22 Examples In-line implementations 20

23 6. EXAMPLES IN-LINE - AUTOMOTIVE 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 21

24 6. EXAMPLES IN-LINE AEROSPACE Final Assembly: Manual systems: used by operators Automation: Only starting now (cost coming down) First Cobot projects Human Machine Interfaces are critical 22

25 6. EXAMPLE WINGBOX ASSEMBLY ASSEMBLY ASSISTANCE FOR THE A330 WINGBOX ASSEMBLY BEFORE 200% EFFICIENCY IMPROVEMENT WITH ARGON 3 operators 1 measurement services assistant 2 operators can perform the assembly tasks MEASUREMENT ASSISTED ASSEMBLY

26 6. EXAMPLE PARKING AIRPLANES LASER GUIDANCE BEFORE UP TO 1H30 (in worst case) to park A380 in the Garage 900% FASTER WITH ARGON 10 MIN. parking in any case HEXAGON TECHNOLOGY: LEICA ICON robot I50 LEICA GEOCOM

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28 7. CHALLENGES 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 26

29 7. CONCLUSION 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 27