58
Slide 1 On the way to Planar Optronic Systems presented by: Prof. Dr.-Ing. Ludger Overmeyer SPIE DSS, Sensing Technology + Applications Plenary Presentation, Wednesday, May 7, 2014

On the way to Planar Optronic Systems - SFB/TRR 123 · On the way to Planar Optronic Systems ... technology Assumption: Optical systems will supplement ... Roth B. Planar integrated

  • Upload
    lemien

  • View
    219

  • Download
    0

Embed Size (px)

Citation preview

Slide 1

On the way to

Planar Optronic Systems

presented by:

Prof. Dr.-Ing. Ludger Overmeyer

SPIE DSS, Sensing Technology + Applications Plenary Presentation, Wednesday, May 7, 2014

Slide 2

Outline

Introduction

Vision of sensor concepts

Materials

Production methods

Characterization

Summary

Slide 3

Hypotheses

Light will be the main future media for signal

transmission.

Measured signals will be converted into light.

Electrical signals will be exchanged for light

signals.

A fully optical world?

What do we need to get there?

Slide 4

Why optical technologies?

Mobility Energy

Health

Environment

Communication Security

Optical technologies

Information technology

Electro mobility

Robotics

Bionics

Energy technology

Medicine technology

Assumption:

Optical systems will supplement/replace

electronic systems in many areas of

application.

Slide 5

Why using photons?

Variety of planar sensor concepts

Low energy consumption

High bandwidth

Electro-magnetic compatibility

Simple multiplexing

High integration density on various scales

8 μm

Stefan Rajewski/Fotolia.com

Schlemmer Group

Slide 6

Why planar?

mechanical

electronic

optical

Planarity is the key to the integration and

processability in parallel processes.

Slide 7

Why using polymers?

High functionality; versatile material class

Modifiable to the application

Efficient processability, even at high throughput,

e.g. reel-to-reel process

Simple build-up of large-scale systems

Small layer thickness = high resource efficiency

Hybrid-systems for trans-technology matrix

structures possible

MIT

Slide 8

Reel-to-reel production

Slide 9

Integration of electronics

Past Present

Past Present

Sony

ATI

Slide 10

Planar integration of optics

Waveguides

Active

elements

Beam

forming

8 µm

10 µm

Sandström et al.

Pang et al.

Slide 11

Outline

Introduction

Vision of sensor concepts

Materials

Production methods

Characterization

Summary

Slide 12

PlanOS animation

Slide 13

What about future applications?

Movie 3: Application example, biomedicine technology (Lindner, 2014).

Movie 4: Application example, construction surveillance (Lindner, 2014).

Slide 14

Possible and new sensor concepts

Interferometric sensors

Strain detection sensors

Temperature detection sensors

Whispering gallery mode sensors

Planar optical polymer foil spectrometer

Slide 15

S-bend

Mach-Zehnder interferometric sensor

Simulation for two bending paths

Cosine function

Sine function

LossCos < LossSin

l

zhzx

2sin2

2

)2

sin(l

z

l

zhzx

Fig. 15.1: S-bend funtions for Mach-Zehnder interferometer

(Hofmann, 2014).

Fig. 15.2: Transmission within S-bends (Hofmann, 2014).

(Hofmann, 2014)

Slide 16

Inverted rib

waveguide H = 500 nm

Rib

waveguide H = 500 nm

Mach-Zehnder interferometric sensor

(Hofmann, 2014) (Hofmann, 2014)

Yanfen Xiao, Elke Pichler, Meike Hofmann, Konrad Bethmann, Michael Köhring, Ulrike Willer, Hans Zappe, „Towards Integrated Resonant and Interferometric Sensors in

Polymer Films“, Procedia Technology (2014), accepted.

Slide 17

Planar integrated strain detection sensors

Kelb C, Reithmeier E, Roth B. Planar integrated polymer-based optical strain sensor. Proceedings of SPIE Photonics West 8977, 2014 MOEMS and Miniaturized Systems XIII,

89770Y (March 7, 2014)

Fig. 17.1 (top, bottom left and right): Readout strategy of the strain sensor, shown for one detection waveguide (Kelb et al., 2014).

(Kelb et al., 2014)

(Kelb et al., 2014)

Conversion of geometric

strain into intensity

modulation

Micro-lenses focus beam

Intensity dependent on

elongation, i.e. distance to

focus of beam

Slide 18

Planar integrated strain detection sensors

Convertion of geometric strain into

wavelength modulation

Strain detection threshold 1 ‰ with

CCD spectrometer

Sensitivity limited by dispersion of

uncollimated beam

Fig. 18.1: Chromatic strain

sensor with grating (Kelb, 2014).

Fig. 18.2: Experimental setup of chromatic strain sensor for proof of

concept (Kelb, 2014).

Slide 19

Negative thermo-optic coefficient Same order of

Positive thermal expansion magnitude

Material characterization extremely important

Small spectral shift (-7×10-3 nm K-1) → Detection?

dn/dT = -111×10-6 K-1

α = 75×10-6 K-1

(Weber, 2003) dn/dT = -120×10-6 K-1

α = 70×10-6 K-1

(Suhir et al., 2007)

Planar integrated temperature detection sensors

Suhir E., Lee Y. C., Wong C. P., Micro- and Opto-Electronic Materials and Structures: Physics, Mechanics, Design, Reliability, Packaging: Volume I, Springer, 2007.

Weber M. J. Handbook of Optical Materials, CRC Press, 2003.

Fig. 19.2: Simulation results in PMME according to Weber

(Sherman, 2014).

Fig. 19.3: Simulation results in PMME according to Suhir et al.

(Sherman, 2014).

Fig. 19.1:Concept for temperature sensor

based on fiber-Bragg grating (IMTEK, Freiburg).

Slide 20

Whispering gallery mode resonators

Foil integrated Whispering-gallery mode sensors

Resonant frequencies very sensitive to changes

on surrounding refractive index

Ultimate target sensitivity: single-molecule

detection in liquid phase

Figure 20.1: The microsphere is attached to

one waveguide, another waveguide detects the

transmitted signal.

(Wollweber, 2012)

Simulation with RSoft

Ring-resonator: inner diameter 4.5 µm, thickness 1 µm, n=1.59

The left waveguide is used as an excitation source: thickness 1 µm, n=1.46

In case of resonance: light is coupled into the ring-resonator, dip in the transmission signal

Figure 20.2: Build-up of the electromagnetic field in the WGM of a 1 mm thick ring resonator, l = 1089 nm (Petermann, 2014).

Slide 21

Planar optical polymer foil spectrometer - PolyAWG

Simulations for singlemode waveguides

Singlemode waveguide cores with either high

aspect ratio or small dimensions (< 700 nm)

ZnO nanowires in substrate against

mechanical strain

Fig. 21.3: Simulations performed with

PhotonDesing® FIMMWAVE, red bars represent

the single-mode region (TU Clausthal).

Fig. 21.2: Geometry (height x width) of the

simulated waveguides (TU Clausthal).

Koch J., Angelmar M., Schade W.: Arrayed waveguide grating interrogator for fiber Bragg grating sensors: measurement and simulation AO, Vol 51, 7718-7723 (2012).

Fig. 21.1: Sketch of an AWG (TU Clausthal).

multimode

ncore =1.6

singlemode

w

ncore

ncladding = 1.5

h

Slide 22

Decoupling by implementation of ZnO-nanowires

Adding of ammonia and PEI

(polyethylenimine) improved the growth

of ZnO nanowires

Ammonia produces Zn(OH)2 (s)

PEI inhibits the radial growth of the ZnO

nanowires.

Nanoclusters formed in growth solution

can be extracted more easily

Fig. 22.1: SEM image of ZnO nanowires (TU Clausthal). Fig. 22.2: ZnO nanowire growth principle

(TU Clausthal).

Slide 23

Outline

Introduction

Vision of sensor concepts

Materials

Production methods

Characterization

Summary

Slide 24

Target Development of polymers with tailored optical &

thermo-mechanical properties for polymer waveguides

Concept Prepolymer synthesis with respect to

adjustable physical properties

use in a variety of shaping/molding techniques

Prepolymer adjustable viscosity (10-3 – 102 Pa•s)

UV/Vis curing favorable

Polymer adjustable refractive index (1.39 < n < 1.65 @ 589 nm)

optical damping less than 1 dB/m

continuous operation temperature > 100°C

We need tailored polymers!

Slide 25

Prepolymer MMA/PMMA/1,3-Butandioldimethacrylate (BDMA)

Polymer Poly(methylmethacrylate-co-1,3-butandioldimethacrylate)

Dopant Phenanthrene

Refractive index tailored hybrid polymers

Fig. 25.2: Refractive index change with dopant

concentration, 1.49 < n < 1.55, @589 nm, 20 °C

(IMTEK, Freiburg).

Fig. 25.1: Viscosity adjustment with prepolymer

concentration, 5 Pa·s > η > 0.15 Pa·s, @100 1/s, 60°C

(IMTEK, Freiburg).

Slide 26

Thermal properties of tailored polymers

OO OO

O

n m

OO

n m

S OO

N3

OO OO

O

n m

CF2

CF2

CF2

CF2

CF2

CF2

CF2

CF3

ON OO

O

n m

OO

n m

S OO

N3

PMMA

Tg

Tg,1

Tg,2

Tdec

Tm

Glass transitions and/or decomposition reactions are

monitored by Differential Scanning Calorimetry (DSC).

PMMA

(substrate material)

Tg = 124 °C (20 K/min)

PMMA-2,5%SSAz

Tg,1 = 130 °C (20 K/min)

Tdec = 205 °C

Tg,2 = 140 °C (20 K/min)

PFA-2,5%MABP

Tm = 78 °C

Prucker, IMTEK Prucker, IMTEK Prucker, IMTEK

Slide 27

TiO2 nanoparticle doped hybrid materials

Molecular weight has strong influence on embedding of

nanoparticles into the polymer matrix

Körner, IMTEK Körner, IMTEK

Körner, IMTEK Körner, IMTEK

Slide 28

Outline

Introduction

Vision of sensor concepts

Materials

Production methods

Characterization

Summary

Slide 29

A view on a starting setup

Fig. 29.1: Planar optronic sensor system; highlighted waveguide (Wang, 2014).

* Wang, Y., L. Overmeyer, „Low temperature Optodic Bonding for Integration of Micro Optoelectronic Components in Polymer Optronic Systems“, Procedia

Technology, Elsevier, (accepted).

Slide 30

Laser processes fs- laser processing

UV-photolithograghy

Hot embossing and nano imprint

Printing Offset

Flexographic

Inkjet

Lamination and surface coating

Production concepts for integrated waveguides

Slide 31

Direct writing of waveguides – a new approach

P = 400 mW

vwriting = 30 mm/s 10 µm

Fig. 31.1: Direct written structures in PMMA (Pätzold, 2014).

Moving

direction

150 µm

estimated focal spot size

2×107

pulses/spot

2×105

pulses/spot

2×106

pulses/spot

frep = 1 MHz frep = 100 kHz

Epulse = 80 nJ, NA = 0.55, stationary spots 200 µm below surface.

Size grows with decreased

repetition rate

⇒ most likely due to leakage from

Pulse Picker and linear

absorption

Some spots are missing

[1] Pospiech, PhD thesis, Strahlformung in der Femtosekundenlaser-Mikrostrukturierung, 2011.

(Pätzold, 2014)

Slide 32

Polymer processing with fs-laser and UV-lithography

Two-Photon-Polymerization (2PP) Microscope Projection

Photolithography (MPP)

Objective

CCD Camera

Red LED

(Long wavelength)

UV LED

Motorized translation stage XYZ

Chromium Masks

LZH

LZH

LZH

Slide 33

2PP vs. MPP

Fig. 33.3: SEM-image of MPP generated polymer waveguides

(Zywietz, 2014).

Fig. 33.1: Polymer waveguides on a glass substrate

(Zywietz, 2014).

20 µm

2,5 µm

n=1.56 (@ 632 nm)

50 µm

Fig. 33.2: Single polymer waveguide fabricated by 2PP

(Zywietz, 2014).

Fig. 33.4: Polymer waveguides on a highly flexible PMMA

substrate (Zywietz, 2014).

n=1.48 (@ 632 nm)

*Zywietz, U., C. Reinhardt, A.B. Evlyukhin, B.N. Chichkov, „Laser printing of silicon nanoparticles with resonant optical electric and magnetic responses“,

Nature Communications, 5, No. 3402, (2014).

100 µm

n=1.51 (@ 632 nm)

8 mm

Slide 34

Manufacturing of coupling

structures and waveguides in

350 µm-thin polymer foils

Different coupling structures

have been tested

Fig. 34.1: Fabricated optical waveguides

through hot embossing (Rezem, 2014).

Fig. 34.2: Waveguide structures on a

silicone embossing stamp

(Rezem, Akin, 2014)

Hot embossing of micro-optical components

Rezem, M., A. Günther, M. Rahlves, B. Roth, and E. Reithmeier, „Hot embossing of polymer optical waveguides for sensing applications“, Procedia Technology,

Elsevier, (accepted).

Cladding

Cladding

Core

Residual

layer

200 µm

Fig. 34.3: Waveguide transmission

losses as a function of the bend radius

simulated in Zemax and RSoft

(Rezem, 2014).

0

5

10

15

20

25

0,3 0,4 0,5 0,6

Zemax RSoft

Fig. 34.4: Hot-embossing tool currently under development

(Kelb, 2014).

Bend radius [mm]

Tra

nsm

issio

n loss [

dB

]

Slide 35

Demand: Manufacture of planar waveguide network on polymer foil

High throughput production of optical waveguides

Fig. 35.1: Flexographic printed waveguides; acrylate on PVC

substrate (Wolfer, 2013).

Wolfer, Bollgruen, Mager, Overmeyer, Korvink (2014). Flexographic and inkjet printing of polymer optical waveguides for fully integrated sensor systems. Technology

Procedia, Elsevier.

OE-A Roadmap for Organic and Printed Electronics, 5th ed., VDMA Verlag, 2013

Process requirements for

large scale production:

high throughput

high resolution

Approach:

Combination of two printing processes

Flexographic printing for prestructuring of films

with high throughput

Inkjet printing for individual complement with

high resolution

Fig. 35.2: Process limits of printing methods (OE-A Roadmap).

Slide 36

Flexographic printing machines

Process development in laboratory scale

Verification on modified industrial scale printing machine

Inkjet printing machines

High throughput production of optical waveguides

Fig. 36.2: Printing machine Speedmaster SM52

(Source: Heidelberger Druckmaschinen AG).

Fig. 36.4: Dimatix DMP 2831 (Source: Dimatix)

OE-A Roadmap for Organic and Printed Electronics, 5th ed., VDMA Verlag, 2013

Fig. 36.1: Flexographic printing machine in

laboratory scale, IGT F1 UV

Fig. 36.3: Pixdro LP 50 (Source: Meyer Burger)

Slide 37

High throughput production of optical waveguides

Flexographic printing sequence:

1. Inking of anilox

2. Polymer transfer to printing plate

3. Mirror inverted reproduction on

substrate

Additive manufacturing for cost and

resource efficiency

Process chain from layout to printing results:

Wolfer, Overmeyer (2013): Flexographic Printing of Polymer Optical Waveguides, Proceedings of the Distributed Intelligent Systems and Technologies Workshop, St.

Petersburg, Russia, July 1-4.

Fig. 37.1: Operating principle of flexographic printing

(Wolfer, 2013).

Fig. 37.2: Process chain from layout to print results (Wolfer, 2014).

Slide 38

Printing of multimode optical waveguides

Waveguide setup in layers with parabolic shape

High throughput production of optical waveguides

Fig. 38.1: Computed 3D model of printed waveguide

(Wolfer, 2013).

Fig. 38.2: Possible waveguide concepts by combining the core and cladding layers (Wolfer, 2014).

Wolfer, Bollgruen, Mager, Overmeyer, Korvink (2014). Flexographic and inkjet printing of polymer optical waveguides for fully integrated sensor systems. Technology

Procedia, Elsevier.

Property Value

Width 20-1,000 mm

Height 4-110 mm

max. Aspect ratio 0.5

Speed of operation 50-260 m²/h

Surface roughness 12.5 nm

Table 2: Typically achieved process properties (Wolfer, 2014).

Slide 39

High throughput production of optical waveguides

Fig. 39.3: Cross sectional polish of printed optical

waveguide on PVC substrate (Wolfer, 2014).

Resulting geometries and properties

Layer wise application (up to 50 cycles)

Characteristic cross section: parabolic

shape

Overmeyer, Wolfer, Wang, Schwenke et al., (2013). Polymer Based Planar Optronic Systems. Proceedings of LAMP2013 - the 6th International Congress on Laser

Advanced Materials Processing, Niigata, Japan.

0

5

10

15

20

25

30

35

40

-200 -150 -100 -50 0 50 100 150 200

Laye

r th

ickn

ess in

mic

rons

Half width in microns

Number ofprinting cycles

Fig. 39.2: Cross sections of printed waveguides after different

amounts of printing cycles (Wolfer, 2013).

Standard deviation width: 20.65 µm

Fig. 39.1: Confocal microscopy of printed waveguide

(Wolfer, 2014).

Slide 40

Simulation of printed waveguides

Multiple printing cycles lead to:

Larger contact angle

Higher waveguide geometry

Geometry susceptible to manipulation

Ray tracing simulation to estimate

and optimize optical attenuation

Ray tracing using Zemax

Source @ 638 nm

Numerical aperture 0.27

Contact angle variation 15-90 degree

Fig. 40.2: Ray tracing simulation (Zemax), light intensity in dependence of contact angle and waveguide heigth (Wolfer, 2014).

Fig. 40.1: Optical attenuation vs. contact angle according

to ray tracing simulation (Wolfer, 2014).

Slide 41

Approach for smoother surfaces: self alignment of polymer by local

variation of surface energy

Decrease of surface

roughness

Decrease of lateral

undulations

Higher contact angle

Higher aspect ratio

Lower attenuation expected

Sources of roughness

Substrate surface

Interface of core layers

Interface core/cladding

Considered in ray tracing as

Gaussian scattering

Fig. 41.1: Ray tracing simulation (Zemax), roughness

considered as Gaussian scattering (Wolfer, 2014).

10 mm

substrate

Fig. 41.2: Left: Conditioned PVC substrate with distributed acrylate. Right:

Confocal miscroscopy of self aligned polymer (acrylate)

Raw PVC

substrate

Lines for local

variation of

surface energy

(acrylate)

Printing varnish

(acrylate)

1 mm

Simulation of printed waveguides

Slide 42

Successful lamination of COC and

PMMA foils using an interlayer of a

sulfonazide containing polymer

Production of nano-composites and

continuous transitions from polymer to

oxide with sputtering methods

Ta2O5 nano-particles produced by a gas

aggregation source on a layer of ion-

beam sputtered PTFE

The size of the nano-particles is between

16 nm and 24 nm

Reactive lamination and functionalized surfaces

Fig. 42.1: Partially laminated COC and PMMA foils (Rother,

2014).

Fig. 49: SEM image of Ta2O5 nanoparticles (Gauch, 2014).

Fig. 42.3: SEM image of Ta2O5 nanoparticles (Gauch, 2014).

Fig. 42.2: Ion beam sputtering (Gauch, 2014).

Slide 43

What about active optical systems?

Fig. 43.1: Planar optronic sensor system; highlighted diodes (Wang, 2014).

Slide 44

High success rate

95 %

Short process time

app. 10 s

Mechanical strength

23 N/mm2

Electrical conductivity

panacol 4732: 0.292 Ω

Dymax OP-29: 0.169 Ω

Dymax OP-29-Gel: 0.112 Ω

Dymax OP-24-Rev-B: 0.110 Ω

Delo GB368: 0.286 Ω

Vacuum

Chip

UV-curing

adhesive

Transparent

polymer substrate

UV-radiation

Mirror

UV reflective coating

Bonding

head

UV LED lamp

Bonding head

Optodic bonding as bridging technology

Fig. 44.1 (right): Schematic illustration

of optode for sideway irradiation

(Wang, 2014)

Fig. 44.2: Photo of realized optode, (Low Temperature Optodic Bonding for

Integration of Micro Optoelectronic Components in Polymer Optronic

Systems, Wang et al., SysInt 2014, accepted).

Slide 45

Fig. 45.3: Bare Laser diode

CHIP-650-P5 (Wang 2013). Fig. 45.4: Image from confocal

microscopy (Wolfer and Wang 2013).

Optical coupling of single mode waveguide

Thickness < 1 µm

Challenge

Optodic bonding as bridging technology

Success r

ate

in %

Irradiation time in s

100

90

80

70

60

50

40

30

20

10

0 70s 50s 30s 10s 5s 3s

Arith

metic m

ean a

nd

sta

ndard

devia

tion in O

hm

Irradiation time in s

1,0

0,9

0,8

0,7

0,6

0,5

0,4

0,3

0,2

0,1

0 70s 50s 30s 10s 5s 3s

Fig. 45.2: Electric resistance of optodic bonded chips dependent on

irradiation time, intensity of 7070 mW/cm2 (Wang, 2014)

Fig. 45.1: Success rate of optodic bonded chips dependent on

irradiation time, intensity of 7070 mW/cm2 (Wang, 2014)

Slide 46

Waveguide integrated device for detection at

634 nm ITO on polymer waveguide

Structure optimization for high responsivity

Optical simulations of OPD/waveguide

structures Mode distribution

Waveguide losses (loss channels)

Integration of OLEDs and OPDs into waveguide systems

(TU Braunschweig)

(TU Braunschweig)

(TU Braunschweig)

Slide 47

Photodetector operation parameters

1E-5 1E-4 1E-3 0.01 0.1 1 10 100 1000

1E-3

0.01

0.1

1

10

100

cu

rre

nt [µ

A]

power [µW]

Device

D2

B2

B1

Measured @ 635 nm

Dark current:

1 nA (best)

= 33 nA/cm²

Responsivity:

320 mA/W @ -1V

63% EQE, commercial

Si ~ 80%

Bandwidth:

1 MHz

(limited by setup)

0 1 2 3 40.00

0.01

0.02

0.03

0.04@ 300 kHz

RC

= 0,35 µs

voltage [m

V]

time [µs]

RC

= 0,4 µs

102

103

104

105

106

107

1

10

voltage [V

]

f [Hz]

3 dB

(TU Braunschweig)

(TU

Braunschweig)

(TU

Braunschweig)

T. Otto, T. Rabe, S. Döring, W. Kowalsky, “Organic Solar Cells as Polymer Waveguide integrated Photodetectors”, Procedia Technology, 2014, (accepted)

Slide 48

Laser-active waveguides

Laser

NP

Liquid

Fig. 48.1: Laser-active

nanoparticle generation

(Sajti, 2013).

Fig. 48.2:

Homogenous particle

embedding (Sajti,

2013).

Fig. 48.3: Laser-active

polymer waveguide

(Sajti, 2013).

Fig. 48.4: Flexible laser

module (Kwon et al., 2008).

Nd:YVO4; 0.1 wt% Nd ablated in water 0.1 wt%

Nd ablated in Acetone 1 wt%

inte

nsity [

a.u

.]

emission wavelength [nm]

Fig. 48.7: SEM-image of Nd:KGW

embedded ormosil waveguide (Sajti, 2013). Fig. 48.5: Laser-active particles

in colloidal (Sajti, 2013). form

Nd:KGW nanocrystals dispersed waveguide

Fig. 48.6: Size distribution of

laser-active particles (Sajti, 2013).

nanoparticle size [nm]

rel. f

requency [a.u

.]

5 µm

300 µm

Kwon, Y.K., J.K. Han, J.M. Lee, Y.S. Koo, J.H. Oh, H.-S. Lee, E.-H. Lee, „Organic–inorganic hybrid materials for flexible optical waveguide applications“, J. Mater. Chem.,

18, 579-585, DOI: 10.1039/B715111J, (2008).

Slide 49

Outline

Introduction

Vision of sensor concepts

Materials

Production methods

Characterization

Summary

Slide 50

Measurement of optical transmission properties

Attenuation of waveguides

Refraction index distribution

Light dispersion in waveguides

Coupling efficiency between interfaces

Some examples of spectral measurement

equipment

Slide 51

Light sources

LED, including confocal pattern for end face characterization

Diode laser (638 nm, 140 mW)

Numerical aperture steplessly

variable within 0.1-0.5

Aperture sizes: 1-1,000 mm

Identification of length-independent attenuation

Fig. 51.2: Optical measurement setup (Dumke, ITA, 2014).

Wolfer, Bollgruen, Mager, Overmeyer, Korvink (2014). Flexographic and inkjet printing of polymer optical waveguides for fully integrated sensor systems. Technology

Procedia, Elsevier (accepted).

Fig. 51.1: End face of printed waveguide in optical

measurement setup with focused LED spot

(Wolfer, 2014).

Slide 52

Ellipsometer (Sentech)

Thickness and refractive index measurement of thin

Layers (up to 100 µm)

Operating Wavelength 280 – 1700 nm

Refractive Index Profilometer (Rinck)

Refractive index measurements of transparent materials

Different wavelengths (405, 635, 850, and 1320 nm)

Measurement area: 500 µm x 500 µm

FTIR-spectrometer with

halogen light source

Light source: Xe-lamp (UV/VIS)

Goniometer Sample stage

Analyzer

Autocollimation-

scope

Fig. 52.2: Refractive Index Profilometer

(Günther, 2014).

Fig. 52.1: FTIR Ellipsometer Sentech SE 850 (Kelb, 2014).

Optical characterization in cleanroom environment

Lens

Sample stage

Sample

Reference

glass Detector

Slide 53

Fig. 53.1: Epocore waveguides structured on a silicon

wafer (Günther, 2014).

Fig. 53.2: Waveguide written by laser direct writing

into the substrate (Günther, 2014).

Refractive index measurements

fs-laser direct writing Hot embossing

Reference glass (n = 1.51)

Immersion oil (n = 1.497)

SiO2 (n=1.456)

Epocore waveguide

(n = 1.451)

100 mm

50

mm

Substrate

(n = 1.501)

Waveguide

(n = 1.53 - 1.66)

6 mm

3 m

m

Epocore waveguides

structured on a silicon wafer Substrate: silicon

Core material: epocore

Resolution 1.25 µm/pixel

Profilometer specifications Refractive index resolution up to 10-4

Spatial resolution: 0.5 µm

Wavelength: 405 nm, 635 nm, 845 nm,

1320 nm

Slide 54

Outline

Introduction

Vision of sensor concepts

Materials

Production methods

Characterization

Summary

Slide 55

Sensors for excellent flight performances …

Fig. 55.1: Illustration of nerve tracks on bat wing

(Türk, 2014).

Slide 56

… and for stress and temperature surveillance

Fig. 56.1: Illustration of planar sensor foil on airplane

wing (Türk, 2014).

Movie 5: Application example, structural monitoring of wing (Lindner, 2014).

Slide 57

Summary

Planar sensors concepts for measurement of Temperature

Strain

Liquid and gaseous analytes

Development of thermo-mechanical and chemical

stable as well as refractive index tailored polymers

High throughput production of waveguides in reel-

to-reel process - a combination of Printing

Hot embossing

Laser processing

Lithography

Optodical bonding as bridging technology

Equipment available for characterization of Refractive index

Thickness

Attenuation

Form stability

Glass transition temperature

Slide 58

The PlanOS science team (alphabetical order):

Meriem Akin, Tobias Birr, Patrick Bollgrün, Kort Bremer, Wei Cheng, Boris

Chichkov, Ayhan Demircan, Sebastian Dikty, Sebastian Döhring, Henrik

Ehlers, Ludmila Eisner, Farzaneh Fattahi Comjani, Melanie Gauch, Uwe

Gleissner, Axel Günther, Thomas Hanemann, Meike Hofmann, Dominik

Hoheisel, Kirsten Honnef, Christian Kelb, Ann-Katrin Kniggendorf, Michael

Köhring, Martin Körner, Jan Gerrit Korvink, Wolfgang Kowalsky, Tobias

Krühn, Dario Mager, Uwe Morgner, Claas Müller, Gregor Osterwinter,

Torsten Otto, Ludger Overmeyer, Malwina Pajestka, Welm Pätzold, Ann

Britt Petermann, Elke Pichler, Oswald Prucker, Torsten Rabe, Maik

Rahlves, Holger Reinecke, Carsten Reinhardt, Eduard Reithmeier, Maher

Rezem, Lutz Rissing, Detlef Ristau, Raimund Rother, Bernhard Roth,

Jürgen Rühe, Laszlo Sajti, Wolfgang Schade, Thomas Schmidt, Anne-

Katrin Schuler, Andreas Schwenke, Andreas Seifert, Stanislav Shermann,

Yixiao Wang, Ulrike Willer, Tim Wolfer, Merve Wollweber, Hans Zappe,

and Urs Zywietz.

Funded by German Research Foundation

(Deutsche Forschungsgemeinschaft)

Acknowledgements