1. Speed Increase through: THERMAL MANAGEMENT via
IR SENSING !

2. COMPANY PROFILE
Exergen designs and produces the world’s only self powered non-contact Infrared temperature sensors (IRt/c) with a high level of accuracy and repeatability to regulate and control various industrial OEM machine applications.
Offices
Veghel Netherlands
Global OEM Sales
Watertown USA
Production R&D

3. Increasing Speed and Quality in many OEM applications
Medical diagnostics
Digital Printing
Agricultural Industry
Automotive
Food Industry
Semiconductor Industry

4. Background WORKING MECHANISM AND PERFORMANCE

5. Dr. Francesco Pompei
Exergen’s founder and president, Dr. Pompei, holds 70 patents in non-invasive thermometry for medical and industrial applications, is the inventor of the IRt/c and the Temporal Artery Thermometer. He is a world expert in thermometry and thermodynamics.

6. Joke about not yet being dead
Fourier and LaPlace had no reason to solve their equations in this way, since they had no IR sensors, or high speed production lines
New method of using their equations to help us speed up production
NEW METHODE
New Method of Solution Leads to a General Equation for Non-Contact Temperature Monitoring of Internal Temperatures of Moving Materials

7. Principles of the Self-Powered IRt/c
Show the devices
Simplicity
Built to exacting standards
Demo on controller
Principles of the Self-Powered IRt/c
No Power Required
T/C Compatible
0.0001oC Resolution
0.01oC Repeatability
Intrinsically Safe
Simple, Rugged, Inexpensive mV
out
= c ( T T
- T S
) + 
( T -T CJ ) =
) when c =
= Seebeck coefficient

8. Principles of the Self-Powered IRt/c
Go far beyond to make IRt/c accurate in real world
We correct for reflected error
Without this, error is ~ 10 times higher
Principles of the Self-Powered IRt/c
Calibrated to Real World Surfaces to Reduce Errors Caused by Emissivity < 1
Optimum Temperature Range Selection for Highest Possible Accuracy in Real World Applications
Compensates for the Ambient
Reflections on Real Surfaces

9. Simple Elegant Design for High Reliability
Mathematical equations solved by drift-free passive components
No power requirement
Capable of withstanding harsh environments over indefinite times delivering accuracy
MBTF ~ 1000 yrs Vs Rs R3 R2 RT C1 R1 + V+ V-

10. Thermal Management:
SPEED BOOST

11. Jean Baptiste Joseph Fourier 1768-1830
Now that we know how to measure accurately, we can focus our attention to the thermal physics of the product itself
Fourier is the same that transform named after
Descibe variables
Jean Baptiste Joseph Fourier
Fourier’s Equation of Heat Conduction
Unsteady State Heat Conduction for Moving Materials

12. Pierre Simon Marquis de LaPlace 1749 -1827
Need his help to solve the heat transport equation
EE’s might recognized this method
Pierre Simon Marquis de LaPlace
Laplace Transform Method of Solution
Converts Partial Differential Equation to Ordinary Differential Equation

13. Joke about not yet being dead
Fourier and LaPlace had no reason to solve their equations in this way, since they had no IR sensors, or high speed production lines
New method of using their equations to help us speed up production
Francesco Pompei
New Method of Solution Leads to a General Equation for Non-Contact Temperature Monitoring of Internal Temperatures of Moving Materials

14. Which simplifies to

15. Deriving The SPEED BOOST Equation
Set the surface temperature equal to the center temperature, then the equation reduces to
Since K2/K1 is a function only of material properties and speed:

16. The SPEED BOOST Equation
The ratio can be formed, which then becomes:
The SPEED BOOST Equation
General Equation for Non-Contact IR Temperature Monitoring of Internal Temperatures of Moving Materials is Combined with Surface Temperature
Leads to Uniform Material Temperature When Controlled via the SPEED BOOST Equation
Which Forces the Control System to Apply Heat at an Optimally Balanced Rate

17. Applying The SPEED BOOST Equation
Fortunately we can simplify it quite a bit
When this equation holds, temperature gradients will be minimized through the material
Applying The SPEED BOOST Equation

18. Example SPEED BOOST: Laminating
Only a small change in roll temp is required to increase speed
However note that variations in material feed temp will dramatically change the availble speed
Usually causes speeds to be reduced to insure quality
Example SPEED BOOST: Laminating
Too To Ts
Existing Set-up:
Too = 105 C
Ts = 85 C
To = 25C
New Set-up:
Too = 110 C
Potential Speed Increase*:
25%
*Assuming all other factors are permitting

19. Example SPEED BOOST: Drying
Increasing heating temp may not be possible due to material limitations
Preheat is a very attractive method
Example SPEED BOOST: Drying
Existing Set-up:
Too = 260 C
Ts = 85 C
To = 25 C
New Set-up:
To = 40 C (with preheat)
Potential Speed Increase*:
33% To
Too Ts
*Assuming all other factors are permitting

20. Example SPEED BOOST: Heat Sealing
Heat sealing speed can be increased either by raising heater temp or preheat
Only modest preheat makes a dramatic difference
Start-up is tracked very accurately, reducing time and material daramatically
Example SPEED BOOST: Heat Sealing
Existing Set-up:
Too = 150 C
Ts = 120 C
To = 25 C
New Set-up:
To = 45 C (with preheat added)
Potential Speed Increase:
27% To
Too Ts

21. Product Surface - setpoint Heat Source Temperature
Simple control implementation by using surface temp as controlled variable, but checking the balance to prevent non-uniformities.
If stage 4 implemented, then actively preheat to balance the eq.
SPEED BOOST Equation
Above Can Be a Simplified Control Algorithm
Keep Equation Balanced to Within a Few % to Avoid Non-Uniformity in Material Temperature
Product Surface - setpoint
Heat Source Temperature
Product Input
Control Loop Gain

22. Case Study on Tire Production
Vulcanizing Temperature = 200C.
Green tire storage temperature varies from 0 to 20C.
~10% Throughput increase for ~$100 million plant for cost of ~$100K

23. The role of Exergen We don’t ‘just’ supply sensors, we provide
Custom Specific Assemblies and developments
Technical support in the R&D phase and beyond
Huge knowledge and experience in thermodynamic processes.
Assistance in sensor read-out electronics: the most accurate, fast and cheap solution
Wireless sensor readout solutions
How does Exergen’s technology fit in YOUR
application or system?

24. THANK YOU
AND REMEMBER… YOU WILL BE OUR CUSTOMER…BUT YOU JUST DON’T KNOW THAT YET. !!!!!

25. Principles of the IRt/c: With Heat Balance
Automatically Computes Heat Balance, Using Material Properties Alone
Can be Configured for Unpowered IRt/c or Powered Smart IRt/c Configurations mV
= c((T
- T
)(1/k)
) + a (T S
- T CJ )
out C S = a (T
- T
) when c = ( a k) C CJ a
= Seebeck coefficient

26. Non-Invasive Fluid Temperature in Tubing via IRt/c Heat Balancew
Radiation +
Convection
Heat Transfer q   T R f t o s a   

27. DX-Series: Measure True Temperature for Calibration
Reflective cup provides true emissivity-free, and reflection-free temperature measurement
Primary standard for calibration of IR sensor installations

28. DX-Series: Unique Automatic Emissivity Compensation System (AECS)

29. Speed Boost Equation is Generally Linear for Most Applications
Note that the permissible speed increases as the delt T bar increases
Speed Boost Equation is Generally Linear for Most Applications 50
% Increase 25 25 50
Speed % Increase

30. Implementing Speed Boost to Include Non-Linearities
Speed Changes Followed by Renormalization
Apply step-wise speed increases in accordance with speed boost equation, and renormalize at new operating condition to account for property changes.
For variable speed systems, program to follow the characteristic curve.
% Increase 50 25 25 50
Speed % Increase