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Low-code cloud-native platform to automate engineering processes at scale:
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pSeven Enterprise allowed to automate the simulation processes inside different departments and after that link the dependencies between those simulations in one master workflow to create a full-scale digital prototype of a jet engine.
Repetitive manual operations during compressor map cunstruction such as building geometry models, mesh generation, post-processing of the results and data exchange between different software were automated in pSeven Enterprise.
pSeven Enterprise allows to capture even the most complex engineering processes, define its logic and collect, analyze and reuse engineering data thanks to powerful workflow engine and low-code approach.
pSeven Enterprise is a multi-user platform with simultaneous access and co-authoring of the workflows in the cloud. Shared workspaces are designed for departments or teams to share and edit workflows, results and files depending on the user roles - all in your browser in real-time.
pSeven Enterprise runs in a predefined and well-controlled IT environment on-premises or in a private cloud, and can be accessed from any browser or device. As a server-side web application, it allows running many resource-consuming studies simultaneously with a built-in resource manager, and running workflows offline without interruption. You can monitor, manage running process and analyze results anytime from anywhere. Execution of individual blocks is possible both on the Linux server and on remote Windows machines.
Workflows in pSeven Enterprise can be easily published and shared in a form of web apps with either automatically generated or custom developed GUI. These workflow-powered web apps serve as easy-to-use engineering calculators that hide unnecessary complexity and democratize the use of best practices for inexperienced users.
As a collaborative engineering platform, pSeven Enterprise is designed for automating complex simulation workflows and executing them in the cloud. All workflows are executed server-side in various predefined runtime environments with scalable resource management. All of that makes pSeven Enterprise a reliable backbone for PLM / SPDM systems in terms of handling simulation workflows.
pSeven Enterprise allows efficiently exploring model behavior with a wide range of techniques for Design of Experiments (DoE), solving multi-objective optimization problems and run Uncertainty Quantification (UQ) studies with both fast to evaluate analytical models and computationally expensive simulations.
By creating a predictive models from existing test, experimental and/or simulation data pSeven Enterprise allows to predict response values for new designs, accelerate complex simulations by many orders of magnitude and capture essential knowledge from vast amounts of data. Such models are also often called machine learning (ML) models, response surface models (RSM), reduced order models (ROM), approximation models, surrogate models, metamodels etc.
Predictive Modeling functionality is available through the use of pSeven Core.
pSeven Enterprise is equipped with a set of tools to efficiently explore model behavior using a wide range of Design of Experiments (DoE) techniques, solve multi-objective optimization problems and perform Uncertainty Quantification (UQ) studies with both fast-to-evaluate analytical models and computationally-expensive simulations.
By creating predictive models*, existing test, experimental, and/or simulation data can be used to predict response values for new designs, accelerate complex simulations by many orders of magnitude and capture essential knowledge.
* - Also often called machine learning models, response surface models (RSM), reduced order models (ROM), approximation models, surrogate models, metamodels etc.
Design Exploration
Explore various design alternatives and easily find optimal solutions with Design of Experiments and Design Optimization strategies.
Uncertainty Quantification
Improve quality and reliability of designed products and manage potential risks at early design, manufacturing and operating stages.
Predictive Modeling
Predict response values for new designs, accelerate complex simulations and capture knowledge by creating fast models from data.
Automatic choosing of algorithms in all tools thanks to SmartSelection technology
As a cloud-native collaborative platform, from day one pSeven Enterprise allows users to share their workflows with each other – to use “as is” in Run-only mode, modify them together in real time or build bigger stories, using shared workflows as references.
But what if a big team is working on one or several complex projects and person-to-person sharing is not enough? In recent releases we introduced Workspaces – a shared space on the platform, where members can truly collaborate.
With granular setup of permissions, you can now organize group work and enable many scenarios, like:
It is also important to mention that workspaces not only allow you to group users – they provide control over resources associated with the group. For example, you can set storage quota for each workspace, ensuring that it won’t occupy more than expected amount of the storage space on the server.
Go to page navigate_nextIn our daily engineering routines, we often use external resources, like:
And all of those resources may be used in automated workflows. Despite being different in purpose, they all have something in common – the user needs to provide credentials to access them: passwords, authentication keys etc.
pSeven Enterprise provides not only secure mechanics to store credentials but also allows to use them in the connector blocks in the workflows. Dedicated “Secret” datatype allows users to simply type their personal credentials as a string or select a previously used values that are stored in personal protected vaults.
However, the collaborative nature of pSeven Enterprise implies even more control over such settings. Imagine that you share a workflow with such credentials with your colleagues – you not only don’t want them to see your password (even if it's encrypted) and username, but you also want to force them to specify their own.
With the Personal Parameter (PP) setting you can mark any port of any block as your private setting and anyone who works with the same workflow in the shared mode will be forced to specify their own values for their own runs. Everyone will see and use only their own values, while using the same shared workflow!
Go to page navigate_nextAppsHub in pSeven Enterprise enables ultimate democratization of engineering routines. It is a corporate collection of workflow-powered web apps, which can be executed via user interface in your browser or via API to be used as simulation web services.
Release 2025.02 concludes the series of updates in Appshub, intended to address various topics:
The eBook highlights the challenges industrial companies of all sizes face in deploying simulation across domains and how pSeven addresses those challenges.