DC-E DigitalClone for Engineering

DC-E DigitalClone for Engineering

Sentient Science Corporation
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About

DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2). DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.

About

MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Designers and analysts of gearboxes, gears, bearings and associated materials and lubricants.

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Upon request
Depending on AWS based non-government and government operations
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Sentient Science Corporation
Founded: 2001
United States
sentientscience.com

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Alternatives

GearBox by IRIS

GearBox by IRIS

Strategic Marketing Support IRIS

Alternatives

Cybernetica CENIT

Cybernetica CENIT

Cybernetica
GearBox

GearBox

Auvoria Prime
MapleSim

MapleSim

Waterloo Maple
COLUMBO

COLUMBO

PiControl Solutions
Gearbox Protocol

Gearbox Protocol

Gearbox Foundation
INCA MPC

INCA MPC

Inca Tools
AVEVA APC

AVEVA APC

AVEVA

Categories

Digital Twin Supported
Engineering Supported
Simulation Supported

Categories

Engineering Features

2D Drawing Supported
3D Modeling Supported
Chemical Engineering Not Supported
Civil Engineering Not Supported
Collaboration Not Supported
Design Analysis Supported
Design Export Not Supported
Document Management Not Supported
Electrical Engineering Not Supported
Mechanical Engineering Supported
Mechatronics Not Supported
Presentation Tools Not Supported
Structural Engineering Not Supported

Statistical Analysis Features

Analytics Not Supported
Association Discovery Not Supported
Compliance Tracking Not Supported
File Management Not Supported
File Storage Not Supported
Forecasting Not Supported
Multivariate Analysis Not Supported
Regression Analysis Not Supported
Statistical Process Control Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization Not Supported

Integrations

Python Not Supported
Ubuntu Not Supported

Integrations

Python Supported
Ubuntu Supported
Claim DC-E DigitalClone for Engineering and update features and information
Claim DC-E DigitalClone for Engineering and update features and information
Claim MPCPy and update features and information
Claim MPCPy and update features and information