Tag: DSC • NETZSCH – the Thermal Analysis Blog

One Click AutoEvaluation for Dilatometer Signals (dL) Improved

September 20, 2021September 16, 2021 by Dr. Alexander Schindler and Aileen Sammler

AutoEvaluation is an intelligent software algorithm and part of the NETZSCH Proteus® software, which automatically and autonomously evaluates thermo-analytical measurement curves. It has already been introduced and successfully applied for Differential Scanning Calorimetry and Thermogravimetric Analysis and is also available for dL signals as generated by dilatometers (DIL) and thermomechanical analyzers (TMA). As an improvement, the mean CTE (Coefficient of Thermal Expansion) values are evaluated additionally before and after the glass transition.

Thermoplastisches Automated Fiber Placement (TAFP): Bestimmung des Kristallinitätsgrades in Abhängigkeit der Prozesskette

August 30, 2021 by Thomas Zenker (Fraunhofer ICGV) and Dr. Natalie Rudolph

Der Einsatz von endlosfaserverstärkten Kunststoffen mit thermoplastischen Matrixsystemen in der Luftfahrtbranche erfordert die Entwicklung geeigneter Fertigungstechnologien für diese Materialkombination. Ein potentialträchtiges Verfahren ist in diesem Kontext Automated Fiber Placement (AFP). Lernen Sie mehr über die Prozessketten zur Herstellung von Strukturbauteilen und warum der Kristallinitätsgrad entscheidend ist.

Thermoplastic Automated Fiber Placement (TAFP): Determination of the Degree of Crystallinity based on Position within the Process Chain

September 7, 2021August 30, 2021 by Thomas Zenker (Fraunhofer ICGV) and Dr. Natalie Rudolph

The use of continuous fiber-reinforced plastics with thermoplastic matrix systems in the aviation industry requires the development of suitable manufacturing technologies for this material combination. One promising process in this context is Automated Fiber Placement (AFP). Learn more about the process chains for the production of structural components and why the degree of crystallinity is decisive.

Vorhersage von Materialverhalten unter Brandbedingungen

August 16, 2021 by Aileen Sammler

Auch aus Gründen der Sicherheit ist es sehr wichtig, die Eigenschaften von vermeintlich nicht brennbaren Materialien unter Brandbedingungen zu kennen: Was passiert mit dem Baumaterial? Wie beständig ist die Baukonstruktion? Wir zeigen Ihnen, wie Sie mit Hilfe von Kinetics Neo das Materialverhalten unter Brandbedingungen vorhersagen können.

Prediction of the Material Behavior under Fire Conditions

August 16, 2021 by Aileen Sammler

For safety reasons, it is very important to know the behavior of supposedly non-combustible materials under fire conditions: What happens with the building material? How durable are the building constructions? We show how to use the Kinetics Neo software to predict the material behavior under fire conditions.

Magnesiumstearat – ein Material, unterschiedliche Zusammensetzungen: mit Dynamischer Differenzkalorimetrie (DSC) einfach differenzierbar

September 3, 2021August 3, 2021 by Dr. Gabriele Kaiser

Magnesiumstearat ist einer der am häufigsten verwendeten pharmazeutischen Hilfsstoffe. Erfahren Sie mehr über den Hydratationszustand und wie dieser sichtbar gemacht werden kann.

How Fillers Affect the Crystallization Behavior of SLS Powders

May 17, 2021 by Dr. Natalie Rudolph and Dr. Stefan Schmölzer

NETZSCH AM Copper Fillers Crystallization

Due to the still limited number of available materials for the Selective Laser Sintering process, there is a constant demand for materials with different properties. The addition of any filler to SLS powder typically has an effect on the processing behavior. Today, we investigate the crystallization behavior of PA12 powder filled with copper spheres and flakes.

How to Detect Cure State of Pre-Cured Composite Samples

April 15, 2021 by Milena Riedl

Popular materials for lightweight applications are glass and carbon fiber-reinforced plastics. The properties of the composite material are determined by the manufacturing process conditions. Therefore, it is crucial to know the curing state reached during manufacturing as well as the correlation between the glass transition temperature and degree of cure.

Measuring Specific Heat Capacity to Simulate SLS Processes

April 6, 2021 by Dr. Natalie Rudolph and Dr. Stefan Schmölzer

Significant efforts have been made to model and simulate the Selective Laser Sintering process as information about the temperature field in lower layers is difficult to measure. Learn how specific heat capacity can help!

How Photo-DSC Advances Test Protocols of Liquid Samples for Additive Manufacturing

March 16, 2021March 15, 2021 by Milena Riedl

Photopolymers have gained increased importance in many industries. Digital Light Synthesis (DLS), an Additive Manufacturing Technology, is a prime example for the usage of photopolymers. Learn why the NETZSCH Photo-DSC is a proven method to optimize the Additive Manufacturing process.