Short answer

Incorporate predictive models for simulated skin temperature into thermal manikin testing protocols to enhance the accuracy of clothing evaporative resistance measurements and, consequently, thermal comfort assessments.

Field: Human Factors
Source: Lund University Publications (Lund University) (2010)
Method: Empirical modelling and experimental validation.
Sample: 12 skin tests for each skin combination (total of 24 tests). Specific number of temperature sensors: 6.
Evidence: Strong effect

Accurately predicting sweating skin surface temperature on thermal manikins is crucial for precise measurement of clothing evaporative resistance, directly impacting the assessment of thermal comfort. This human factors research insight is drawn from a 2010 study published in Lund University Publications (Lund University). Using Empirical modelling and experimental validation. with 12 skin tests for each skin combination (total of 24 tests). Specific number of temperature sensors: 6., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate predictive models for simulated skin temperature into thermal manikin testing protocols to enhance the accuracy of clothing evaporative resistance measurements and, consequently, thermal comfort assessments.

Study

Human FactorsHigh ImpactStrong effect

Sweating skin temperature prediction for thermal manikins improves clothing comfort accuracy by up to 35.9%

Lund University Publications (Lund University) · 2010

Key Findings

01The temperature difference between the manikin surface and the sweating skin surface can lead to significant errors (up to 35.9%) in clothing evaporative resistance calculations.
02Empirical equations can be developed to predict sweating skin surface temperature, thereby reducing errors in evaporative resistance measurements.

Application

Design takeaway

How to apply

When using thermal manikins for clothing evaluation, consider implementing or developing empirical equations to account for the temperature difference between the manikin's surface and the simulated sweating skin, especially in warm environments.

Project actions

01When designing a thermal manikin test, consider how to accurately simulate skin temperature.
02Explore existing research on thermal manikin calibration and temperature prediction models.

Method & Evidence

AimTo develop empirical equations that accurately predict the sweating skin surface temperature on thermal manikins under warm environmental conditions.

MethodEmpirical modelling and experimental validation.

ProcedureTwo types of sweating simulations were conducted on a thermal manikin: one using a Gore-tex skin over a pre-wetted cotton skin (senseless sweating simulation) and another using a pre-wetted fabric skin over a Gore-tex skin (sensible sweating simulation). Temperature sensors were attached to the outer skin surface at six locations to record skin surface temperature. Data was collected for multiple tests under each skin combination.

Sample12 skin tests for each skin combination (total of 24 tests). Specific number of temperature sensors: 6.

ContextThermal comfort evaluation of clothing ensembles using thermal manikins in warm environments.

Variables

IV["Type of sweating simulation (e.g., Gore-tex over cotton, fabric over Gore-tex)","Environmental conditions (warm environment)"]

DV["Sweating skin surface temperature","Clothing evaporative resistance (implied)"]

CV["Thermal manikin model","Location of temperature sensors","Method of pre-wetting fabric"]

Strengths & Limitations

Strengths

+Addresses a significant source of error in thermal manikin testing.
+Provides a practical solution (empirical equations) for improving accuracy.

Limitations

The accuracy of the predictive equations might be limited to the specific materials and configurations tested. Real-world human sweating can be more complex than simulated sweating.

Reliability & validity

Reliability would be assessed by repeating tests under identical conditions. Validity is enhanced by directly measuring skin temperature and comparing it to predicted values, and by linking it to the accuracy of evaporative resistance calculations.

Think critically

How might the complexity of human physiological responses (e.g., varying sweat rates, individual differences) further complicate the interpretation of thermal manikin test results, even with improved temperature prediction?

Design Principles

"Accurate simulation of physiological responses is critical for valid performance testing of human-centric products."

Thermal manikins are essential tools for evaluating garment performance in design and research. By developing empirical equations to predict skin temperature, designers and researchers can achieve more accurate assessments of how clothing will perform in real-world conditions, leading to better product development and user satisfaction.

What This Means for Your Design

When testing clothes on a fake body (thermal manikin) that sweats, the temperature of the fake skin can be different from the manikin's surface. This difference can make it seem like the clothes are better or worse at letting sweat evaporate than they really are. This study found a way to predict the fake skin's temperature to get more accurate results.

How to use in your project

1.Reference this study when discussing the methodology for thermal comfort testing using a thermal manikin, particularly when explaining the importance of accurate skin temperature simulation.

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Quick Cite

Paragraph starter

This study highlights the critical need for accurate simulation of skin temperature in thermal manikin testing. The authors developed empirical equations to predict sweating skin surface temperature, demonstrating that discrepancies between manikin surface temperature and actual sweating skin temperature can lead to significant errors (up to 35.9%) in clothing evaporative resistance measurements, which is a key factor in thermal comfort.

Source

Lund University Publications (Lund University)

Development of Empirical Equations to Predict Sweating Skin Surface Temperature for Thermal Manikins in Warm Environments.

journal · 2010

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Questions About This Research

What does the research say about sweating skin temperature prediction for thermal manikins improves clothing comfort accuracy by up to 35.9%?: Incorporate predictive models for simulated skin temperature into thermal manikin testing protocols to enhance the accuracy of clothing evaporative resistance measurements and, consequently, thermal comfort assessments. Evidence: Lund University Publications (Lund University) (2010).
Why does "Sweating skin temperature prediction for thermal manikins improves clothing comfort accuracy by up to 35.9%" matter for design?: Thermal manikins are essential tools for evaluating garment performance in design and research. By developing empirical equations to predict skin temperature, designers and researchers can achieve more accurate assessments of how clothing will perform in real-world conditions, leading to better product development and user satisfaction.
How can designers apply this research?: Incorporate predictive models for simulated skin temperature into thermal manikin testing protocols to enhance the accuracy of clothing evaporative resistance measurements and, consequently, thermal comfort assessments.
What were the main findings?: The temperature difference between the manikin surface and the sweating skin surface can lead to significant errors (up to 35.9%) in clothing evaporative resistance calculations.. Empirical equations can be developed to predict sweating skin surface temperature, thereby reducing errors in evaporative resistance measurements.
What research method was used?: Empirical modelling and experimental validation. with 12 skin tests for each skin combination (total of 24 tests). Specific number of temperature sensors: 6..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2010 journal from Lund University Publications (Lund University).
What should I do differently in my next project?: When using thermal manikins for clothing evaluation, consider implementing or developing empirical equations to account for the temperature difference between the manikin's surface and the simulated sweating skin, especially in warm environments.
What are the limitations?: The study focused on specific types of sweating simulations and a particular thermal manikin. The applicability of the derived equations to different manikin designs or sweating conditions may vary.