The Future of Dynamic and Interactive Material Data Sheets

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In-mold material characterization sensors for plastics manufacturing efficiency

sensXPERT empowers manufacturers in plastics industries to reach full production potential by tapping into a pool of high-quality data in real-time. sensXPERT Digital Mold unlocks existing data and leverages material data to identify high-impact optimization opportunities. Accelerate your quality control with extensive material know-how, combined with top-notch material characterization sensors. Reduce scrap, decrease cycle times and save energy plus having complete process control is now possible. Materials we support: thermosets, thermoplastics, elastomers, and composites.

A whole new raft of manufacturing capabilities

The complete sensXPERT product solution

Product integration of sensXPERT Digital Mold

The sensXPERT Dielectric Sensor

The sensXPERT Dielectric Sensor maintains direct contact with the raw material inside the mold, continuously collecting real-time data about the material’s behavior, calculates parameters like as the degree of cure, the degree of crystallization, a glass transition temperature, flow behavior or other relevant thermal/mechanical properties of the polymer being processed, and connects to the Edge Device. Durable in extreme conditions, it operates up to 280˚C and 400 bar pressure.

The sensXPERT Edge Device

Designed for close proximity to machinery, is compact and robust to meet industrial demands. It processes digital and analog signals, offers various industrial interfaces, and hosts machine learning models for dynamic process control. Plus, it provides direct remote customer support.

The sensXPERT Web App

Enables real-time monitoring by collecting and centralizing material data. Machine learning models predict material properties, and the Web App offers precise insights for informed real-time decisions during production.

The sensXPERT Cloud Service

In partnership with AWS, the sensXPERT Cloud Service empowers Manufacturing 4.0. It validates and stores data, provides process insights, and refines machine learning models. Users can remotely access and correlate data from multiple global sites and manage permissions.

Up to 50% reduction

of the existing rate of scrap produced

Up to 23% increase

in energy savings

Up to 30% reduction

in length of manufacturing cycle times

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Maximize your manufacturing profit with sensXPERT

Calculate the real value of sensXPERT to your manufacturing business

Considering sensXPERT for your business? Use our powerful ROI calculator, and see how much of a return this could make for your business.

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White Paper | November 8th, 2023

A Guide to Electronics Encapsulation: Optimizing Closed Mold Encapsulation Processes 

What is electronics encapsulation? How do closed mold encapsulation processes work? What challenges do manufacturers face when safeguarding electronic components? Read our white paper to find out.

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White Paper | October 4th, 2023

A Path to Recovery: Ramping Up the Aviation Industry

What was the impact of COVID-19 on aviation manufacturing? How is the industry preparing for a production ramp up? How can automation technologies help optmize existing processes? Read this white paper to find out.

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White Paper | September 29th, 2023

Investigating Automotive Plastics Manufacturing

What challenges has the automotive manufacturing industry faced? What trends are emerging? How can automotive manufacturers best optimize their processes? Find out about all that and more in this white paper.

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White Paper | September 7th, 2023

sensXPERT Deep Dive White Paper

Discover the Building Blocks of a Dynamic Process Control Solution

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White Paper | August 31st, 2023

Enabling Sustainability in the Plastics Industry

What does the European Green Deal mean for plastics processors? Learn how you can achieve a sustainable, yet cost-effective production while meeting the requirements prescribed by the new taxonomy legislation.

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White Paper | October 17th, 2022

Developing real-time, in-mold process monitoring

Learn about the next step toward the full digitization of plastics processing

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