Products

Products Developed at Intugent

Products

Our Products

Intugent specializes in digital transformation of the innovation process in the material science industries with the end goal to increase the innovation velocity and reduce the development times and costs. Our products can be employed individually or through a streamlined and fully digitalized work process. Each system is custom designed for the partner and the material science industry segment.

Intugent ensures data security and fast response times by using an optimum balance of cloud and edge computing and by designing a strong work engine that seamlessly integrates all databases, models and other utilities. Engineers and researchers do not need to have any background in Artificial Intelligence, Finite Element Analysis, or Math Modeling in order to use any of Intugent's software.

Digitalized Innovation Process (DIP)

A typical work process begins with a visual search of the commercialized formulations / solutions as well as those tested on the experimental scale in the past by our partners. A formulation / solution that meets the critical to quality (CTQ) requirements is then used in the industrial process simulation to ensure that reactions will complete under the industrial application conditions and that the desired properties will be achieved. A new formulation / solution is designed only when a gap in our partner's offerings is identified.

New formulation / solution is designed on the innovation canvas (user interface) where researchers get real-time feedback from a combination of predictive models. The scientific Artificial Intelligence (sAI) and material science math models predict properties of the materials after completion of the reactions. The Process Scaleup Models simulate the application process to ensure that the reactions will complete under the industrial application conditions.

The standard innovation process is customized for each partner and the material industry segment.

I-Rheo

I-Rheo is the process simulation software for applications of thermoset polymers. It was first commercialized in 2022. The latest generation of software allows engineers to search the database for thermoset polymer systems that meet the desired properties, select up to five different thermoset systems, and compare their performance in industrial applications such as pultrusion, filament winding, adhesives, coatings, sealants, elastomers, and many others. Engineers can optimize application process for the desired pot life, minimum viscosity during the application, gel time, green strength times and other processing parameters.

The module "Process Simulation with Given Time-Temperature Profile" is used for applications in which time-temperature profiles through the application process are fairly well known. Examples of such processes are thin coatings, adhesives, and filament winding. As engineers enter the time-temperature profile, I-Rheo visually displays the degree of cure (reaction), viscosity, and glass transition temperature for the selected thermoset systems. For applications such as pultrusion where the time-temperature profile is not known, heat transfer equations must be solved along with reaction kinetics and rheology equations. The pultrusion module has a state-of-the-art computational engine to solve these equations in matter of seconds for up to five thermoset systems at a time. The "New Model Development" module allows models to be trained to new thermoset system using 2-5 DSC scans and 1-3 rheology scans.

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I-PU

I-PU is a Digitalized Innovation Process (DIP) software that can help engineers and scientists to speed up the innovation process and to improve the odds to be successful in the very first industrial trial. I-PU was first commercialized in 2023. It includes all the digitization and digitalization tools needed for the innovation process in the polyurethane applications. All these tools are seamlessly integrated with user interface shown as Intelligent Design Canvas in the figure below.

Visual data analyses and search tools allow researchers to search for preexisting formulation / solutions. Using Process Scaleup Models, they can ensure that the formulation will process as desired under the industrial application conditions. If a new innovation is needed, design canvas provides a natural work platform. The scientific Artificial Intelligence (sAI) models and physics-based (material science) models, such as R-Value model, predict the final properties at the completion of reactions. Using Process Scaleup Models, they train models for new formulations, save, and use them to simulate the application process under the industrial application conditions.

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Contractual Research and Consultation

The subject matter experts (SMEs) at Intugent have extensive experience and outstanding achievements in the material science industry. They can guide our partners to develop new technologies, get over a roadblock, run special simulations, and increase the innovation velocity.

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