What is DC-E DigitalClone for Engineering?

DigitalClone® for Engineering stands out as the sole software that seamlessly combines various scales of analysis within a unified platform. Recognized globally as the premier tool for predicting gearbox reliability, DC-E excels not only in its modeling and analysis capabilities specific to gearboxes and gear/bearing interactions but also uniquely incorporates fatigue life modeling through advanced, physics-based methodologies (US Patent 10474772B2).

By enabling the creation of a digital twin for gearboxes, DC-E encompasses every phase of an asset's lifecycle—from the optimization of design and manufacturing processes to the selection of suppliers, followed by thorough root cause analysis of failures and condition-based maintenance along with prognostics. This innovative computational environment significantly decreases both the time and costs associated with launching new designs and ensuring their long-term maintenance, ultimately enhancing operational efficiency. Moreover, it empowers engineers to make informed decisions at every stage, leading to improved performance and reliability.

Pricing

Price Starts At:
Upon request
Price Overview:
Depending on AWS based non-government and government operations
Free Version:
Free Version available.

Integrations

No integrations listed.

Screenshots and Video

Front end modelling 2D

Front end modelling 2D

Company Facts

Company Name:
Sentient Science Corporation
Date Founded:
2001
Company Location:
United States
Company Website:
sentientscience.com
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Product Details

Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
On-Site Training
Support
Standard Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Government
Startup
Supported Languages
English

DC-E DigitalClone for Engineering Categories and Features

Statistical Analysis Software

Statistical Process Control
Statistical Simulation

Engineering Software

2D Drawing
3D Modeling
Design Analysis
Mechanical Engineering