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April 2009

Challenges and Pitfalls of Temperature Measurement


challenges and pitfalls of temperature measurement

dr. rober moffat will be giving a very informative lecture at coolingzone's business & technology summit on august 18-19, 2010. he will focus on the problems that may arise during temperature measurement and provides practical advice on the methods to avoid them.

to be presented at coolingzone's business & technology summit 2010

challenges

(example)

response

(example)

understand the big picture

what is the overall temperature distribution?

full field imaging

ir camera; liquid crystals

understand your objective

what question am i trying to answer?

play devil’s advocate to develop a useful question

“when can i use ----?”today!

or

“under what conditions-----?”

understand your instrumentation

what kinds of errors might affect my instruments?

get experience – either real or by education

quick scan of literature, new and old.

find a mentor.

understand the flow

where is the coolant flow going, most likely?

visualize the flow

smoke lines, tufts, threads

pitfalls

(example)

to avoid

(example)

relying on sparse data

using one tc to measure cooling air temperature

use redundancy

uniform?��� use at least 2 tc’s

linear?������ use at least 3 tc’s

not base-lining the system

looking only at “troublesome” data

turn the world on a piece at a time

1st scan: no air, no power

2nd scan: air but no power

3rd scan: normal system, full on

4th scan: troublesome system

generalizing too much

treating a single occurrence as typical

make sure the problem you are addressing is real, and know when it arises

repeat with variations: when is there a problem, when is there not a problem

working in the noise

relying on data from tests with small temperature differences

be aware of the relative uncertainty in your result

things to know a little bit about (the 80/20 rule):

1.temperature instrumentation: thermocouples, rtds, thermistors, ir cameras, liquid crystals,

2.flow visualization techniques:smoke streams, smoke lines, bubbles, tufts, streamers

3.single-sample uncertainty analysis (by spreadsheet)

4.experiment planning: 4 questions - - - -

����������� “what question am i trying to answer?”

“what is the form of an acceptable answer?”

“how much uncertainty can i accept?”

“can i quit when i get the answer to that question?”

for more information on the 10th international business & technology summit click here

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