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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.

What is DC-AM DigitalClone for Additive Manufacturing?

DigitalClone for Additive Manufacturing (DCAM) offers an extensive range of simulation and modeling tools specifically for metal additive manufacturing, facilitating a smooth process for design and analysis. Utilizing a multiscale and multi-physics analysis methodology, DC-AM effectively connects the process with the microstructure and fatigue characteristics of additively manufactured components, which allows for a thorough computational evaluation of their quality and performance. By providing unparalleled insights into build conditions and the attributes of the final products, DC-AM promotes the integration of additive manufacturing within safety-critical industries. This innovative approach not only reduces both time and costs associated with production but also streamlines the qualification processes for parts, ultimately enhancing efficiency in manufacturing practices. Additionally, the capabilities of DC-AM empower engineers to make informed decisions, thereby improving overall product reliability and safety standards.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Upon request
Depending on AWS based non-government and government operations
Free Version

Pricing Information

Upon request
Depending on AWS non-government and government operations

Supported Platforms

SaaS

Supported Platforms

SaaS
iPhone

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Company Facts

Organization Name

Sentient Science

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Categories and Features

Digital Twin

Not specified

Engineering

2D Drawing
3D Modeling
Design Analysis
Mechanical Engineering

Root Cause Analysis

Not specified

Simulation

Not specified

Statistical Analysis

Statistical Process Control
Statistical Simulation

Categories and Features

3D Printing

Pre-Print Simulations

Engineering

3D Modeling
Design Analysis
Mechanical Engineering

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