Chinaplas 2025German Exhibitors NETZSCH Process Intelligence GmbH

NETZSCH Process Intelligence GmbH

Booth number: HALL 10 - A05
www.sensxpert.com

About us

Founded in 2021, sensXPERT is a technology brand of NETZSCH Process Intelligence GmbH, a corporate venture of the NETZSCH Group. sensXPERT provides data-driven manufacturing solutions that help customers in the plastics processing industry increase their productivity in real time.

The company combines advanced measurement hardware and material science with the artificial intelligence of machine learning software to characterise material behaviour in sync with the machine and cavity, increasing process efficiency, reliable reproducibility and consistent product quality by detecting, evaluating and controlling all critical influencing factors. The intelligent technology supports all major thermoset, thermoplastic and elastomer processing techniques.

Headquartered in Selb, Germany, sensXPERT builds on over 50 years of materials expertise and experience in sensor technology and is supported by a group-wide talent pool of more than 4,000 employees.

The dielectric sensors measures important material parameters

sensXPERT is fully integrated and offers various benefits

Address

NETZSCH Process Intelligence GmbH
Gebrüder-Netzsch-Str. 19
95100 Selb
Germany

E-mail: info@sensxpert.com
Phone:  +49 9287 750
Internet: www.sensxpert.com

Contact person:

Dr Alexander Chaloupka
Managing Director
E-mail: alexander.chaloupka@sensxpert.com
Phone: +49 9287 919181

Products & Services

Injection Moulding Machines
Measuring, Control and Test Equipment
Reaction Moulding Machinery and Plants

sensXPERT by NETZSCH Process Intelligence GmbH provide process control solutions developed out of over 50 years of experience in plastics manufacturing. The technology gives manufacturers valuable insight, process transparency, and the ability to act decisively before producing scrap. Additionally, benefits such as a digital thread per part produced can aid manufacturers in complying with reporting requirements. Overall, sensXPERT achieves a decrease of up to 50% in existing scrap, an increase of up to 23% in energy savings, and up to 30% cycle time reduction.

sensXPERT Digital Mold

sensXPERT Digital Mold is an end-to-end, integrated Equipment-as-a-Service solution is highly valuable for plastics processors to digitize and optimize their production. With a combination of advanced measuring hardware and material science with artificial intelligence, the state-of-the-art technology provides in-mold material characterization and process data to forecast the impact of internal and external mold conditions on final part quality and performance.

The sensXPERT solution is comprised of four main components; material characterization sensors, an accompanying edge device, an edge device interface, and a digital Cloud service. The material characterization sensors are at the heart of the sensXPERT system. The sensors use dielectric analysis to measure the material behavior of various materials, including thermosets, thermoplastics, fiber-reinforced polymers, elastomers, and sands or stones bonded with resin. Moreover, the sensors transfer all collected data to the sensXPERT edge device. The powerful IPC excels in its mathematical and physical/chemical models of material behavior and the machine learning algorithms that consistently scan incoming data to detect patterns and deviations in the process. The algorithms translate all raw sensor data into predictive quality criteria, present them to operators via the edge device interface and empower manufacturers to adjust their process parameters in real time. Furthermore, all data is displayed in the sensXPERT Cloud service, thus allowing manufacturers to visualize and compare historical process data across multiple production sites.   

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sensXPERT Edge Device installed at a customer's facility

sensXPERT Dielectric Sensor

The cloud interface provides all historic data across all plants and production lines

The WebApp interface shows the real-time material behavior during production

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