Smart Thermal Analysis (Part IIb): Identify… the Most Comprehensive Database in Thermal Analysis

Identify is the most comprehensive database system in Thermal Analysis! In a nutshell, Identify can be used for the recognition and comparison of measurement curves. Signals of types DSC, TGA, DIL/TMA and are supported, curves can be found and overlaid easily. This article highlights the great database contents of Identify (status 11/2019): The Identify database already contains about 2300 database entries!

Shown in the figure 1 are the NETZSCH libraries covering various application fields: ceramics, inorganics, metals, alloys, organics, pharma, food, cosmetics and polymers (see also figure 2). Available as an option is the KIMW database developed by the Kunststoffinstitut Lüdenscheid, Germany, with DSC curves for 1000 different commercially available polymer grades reflecting 157 different polymer types. Information about the polymer supplier, color and filler material/content is available.

NETZSCH library overview displaying thermal analysis database contents with entry counts for various material categories. — Fig. 1: Identify database contents: NETZSCH libraries which are always included, the optional KIMW library, and an exemplary library created by a user.

Pie chart showing distribution of materials in the Identify database: ceramics/inorganics, metals/alloys, polymers, pharma/food/cosmetics, organics, and chemical elements. — Fig. 2: Identify database contents (without optional KIMW part): Distribution regarding materials.

Identify does not only contain measurements, but also a great variety of literature data (see figure 3). And most of such literature data entries contain several material properties (T_g, T_m, α, c_p, mass changes) at once!

Distribution of data and measurement types in the Identify database, highlighting literature data and measurement percentages. — Fig. 3: Identify database contents (without optional KIMW part): Distribution regarding data and measurement types.

Of course, users can also build up their own Identify libraries (in the example above: “Phase Change Materials”) and share them with their colleagues on the computer network!

Please feel free to visit earlier blog articles:

Smart Thermal Analysis (Part I): Automatic Evaluation of DSC, TGA and STA Measurements - NETZSCH Analyzing & Testing

Smart Thermal Analysis (Part II): Identification of Measurements via Database Search - NETZSCH Analyzing & Testing

Smart Thermal Analysis (Part III): Automatic Evaluation of DIL and TMA Curves - NETZSCH Analyzing & Testing

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