Unique thermophysical property measurement and prediction for complex materials.

Discover data that accelerates R&D timelines, reduces engineering costs, and enhances simulations by providing deep insights into material behavior.

Let’s discuss your application requirements.

Dynamic Thermal Conductivity

Dynamic Thermal Conductivity (DTC) is a suite of proprietary and patented measurement hardware and supporting physics models that unlock a deep understanding of your material’s behavior, shorten R&D timelines, and reduce engineering costs related to thermal management system and material design.

10 - 25%

improvement in thermal conductivity estimations

Measurements for understanding

Dynamic thermal conductivity bridges the gap between transient and steady-state techniques. Frustrating measurement method disagreements are understood by characterizing both transient and steady-state regimes, and every point in between, in a single measurement. The thermal conductivity functions that are measured can be used in simulation and material design to improve accuracy and predict performance.

New classes of functional materials with dynamic thermal properties can be developed, and existing thermal management materials can be tuned to specific applications. Dynamic thermal conductivity allows you to do more with your thermal conductivity data.

Heat flow in a highly filled polymer

Dynamic thermal conductivity measurement of highly filled polymer

Next-generation, trustworthy data

When your thermal simulations account for the change in a material’s dynamic thermal conductivity, the entire system’s thermal behavior is impacted. Our data improves the accuracy of thermal simulations, enabling you to predict material behavior and control thermophysical properties with greater precision.

Thermal simulations using DTC data can help you optimize thermal properties of a material relevant for its application with unmatched accuracy.

Let’s discuss your application.

Thermal Homogeneity

Thermal Heterogeneity

Thermal Heterogeneity Detection

Thermally heterogeneous materials cause key assumptions of transient methods to be violated, leading to erroneous data. Error in measurements of highly filled materials is often significantly outside of expected instrument accuracy.

30% error in thermal conductivity leads to component temperatures 10°C above predicted values.

Applicability of transient methods

Our proprietary thermal heterogeneity detection method measures goodness of fit of transient thermal properties as measured by transient methods such laser flash analysis and transient plane source. Materials which appear geometrically homogeneous under a microscope, can contain thermal heterogeneity with preferred paths for heat flow. Thermal heterogeneity detection measures both the flux of heat into and out of samples, and steady state thermal properties allowing for comparisons of thermal properties as measured with different techniques. Thermal heterogeneity detection allows you to understand potential measurement errors and increase the confidence in your thermal conductivity data.

Thermal Contact Resistance (TCR)

Uncharacterized thermal contact resistance (TCR) degrades the integrity of thermal conductivity measurements and is a primary source of error in high-precision thermal simulations.

Our patented Thermal Contact Resistance (TCR) measurements can improve your thermal simulations, by reducing error in contact resistance estimation and its effect on heat transfer between materials in your system.

Patent: CA3083666A

Our data solutions provide a true understanding of material behavior to alleviate challenges in material design and simulation for complex applications.

Contact Us About Your Project

At Forsta Varme, our-cutting edge knowledge and in house R&D on new thermal measurement instrumentation, physical models, and simulation science provides us with the skills and know-how to help you. From standardized testing to measurements made by the people who designed the method, Forsta Varme can maximize your projects thermal property outcomes.