Photothermal Analysis of Transparent Samples Using Transparency Factor

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Solution Overview

Problem

Existing photothermal examination methods face challenges in accurately determining thermal material parameters, particularly thermal conductivity and diffusivity, for transparent samples due to complex physical-mathematical models and numerous model parameters, leading to reduced accuracy.

Innovation Solution

A method and device utilizing a pulsed laser or xenon flash lamp to generate an excitation pulse with specific wavelength and duration, combined with infrared detection, and a modified mathematical model that accounts for transparency factors to estimate thermal conductivity and diffusivity with improved accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a conventional photothermal examination method is used for transparent samples, then the measurement can be performed, but the determination accuracy of thermal material parameters deteriorates due to complex physical-mathematical models with numerous model parameters

Engineering Contradiction:
Improvedetermination accuracy of thermal material parametersVSAvoidcomplexity of physical-mathematical models
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and isolates the transparency factor η as a separate, distinct parameter from the complex system of model parameters. By identifying this single dominant factor that characterizes sample transparency, the method simplifies the evaluation process while maintaining accuracy for transparent samples, directly resolving the contradiction between measurement precision and model complexity

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces a transparency factor η that quantifies the degree of sample transparency, transforming the qualitative distinction between opaque and transparent samples into a quantitative parameter. This parameter change allows the use of a unified evaluation approach that adapts to different sample types, improving measurement precision across both opaque and transparent samples while avoiding the need for completely different complex models

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If the number of model parameters is increased to account for transparency, then the applicability to transparent samples is improved, but the statistical uncertainty and accuracy of parameter determination worsens

Engineering Contradiction:
Improveapplicability to transparent samplesVSAvoidaccuracy of parameter determination
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent extracts the transparency factor η as a single dominant parameter that captures the essential physics of transparent sample behavior. By focusing on this one key parameter rather than increasing the number of model parameters, the method maintains high statistical accuracy while achieving universal applicability to both opaque and transparent samples

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates a universal evaluation method that works for both opaque and transparent samples through the introduction of the transparency factor η. When η = 0, the method reduces to the conventional approach for opaque samples; when η > 0, it automatically adapts to transparent samples, providing a single unified solution that improves versatility without sacrificing accuracy

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables precise determination of thermal conductivity and diffusivity for transparent samples by minimizing heat losses and using a novel model that reduces statistical uncertainty, achieving high accuracy in material parameter estimation.

Implementation Method 1

a pulsed laser or a xenon flash lamp to generate an excitation pulse... irradiating a first side ('front') of the sample with a short electromagnetic excitation pulse

Methodology Applied
Scientific EffectElectromagnetic radiation heating: Absorption (EM radiation)

Implementation Method 2

detecting thermal radiation emitted from a second side ('back') of the sample opposite the first side as a result of the excitation pulse (as a measure of the temperature on the second side)

Methodology Applied
Scientific EffectThermal radiation: Thermal Radiation

Implementation Method 3

an infrared detector to detect heat radiation emitted from a 'detection side', here the back side of the sample

Methodology Applied
Scientific EffectInfrared detection: Infrared Radiation

Data Source

PatentEP3165910B1Method and device for the photothermal analysis of a sample
Publication Date: 2020.12.09 NETZSCH GERATEBAU GMBH
  • EP3165910B1 patent drawingFigure 1
  • EP3165910B1 patent drawingFigure 2
  • EP3165910B1 patent drawingFigure 3

AI summary

The invention proposes a method for the photothermal investigation of a sample (P), comprising: irradiating a first side (16) of the sample (P) with an electromagnetic excitation pulse (18); detecting thermal radiation (26) emitted from a second side (24) of the sample (P) opposite the first side (16) as a result of the excitation pulse (18);Evaluating the detected thermal radiation (26) based on a model defined by the following equations: ∂2T/∂x2=1/α×∂T/∂tfu¨r0 <x<L,t> 0 k×∂T/∂x−h×T=−Et+ηʹ×T0t−TLtfu¨rx=0,t>0 k×∂T/∂x+h×T=−ηʹ×T0t−TLtfu¨rx=L,t>0 Tx0=0fu¨rt=0 where: T denotes the temperature of the sample, L the thickness of the sample, x the position coordinate considered in the thickness direction of the sample, with x=0 at the first side of the sample and x=L at the second side of the sample, t the time, with t=0 at the time of the excitation pulse, E(t) the radiation flux density of the excitation pulse, α the thermal diffusivity of the sample, k the thermal conductivity of the sample, h the heat transfer coefficient at the sample surfaces, η' a "general transparency factor", where a mathematical least squares calculation is performed is used to estimate the aforementioned parameters α, k, h, η' of the model based on a time course of the temperature T(L,t) on the second side (24) of the sample (P) determined from the recorded thermal radiation (26).