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DESIGN

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ADDITIVE MANUFACTURING

 * 3D Printing
 * 3D Scanning
 * Design for Additive
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DIGITAL THREAD

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DE · Topics · Resources · Engineering Resource Center







WELCOME TO THE ADVANCED PRODUCT DEVELOPMENT RESOURCE CENTER





The Advanced Product Development Resource Center's mission is to help design
engineers capitalize on the amazing technological advances in product design
that are driving digital disruption in manufacturing.


ENGINEERING RESOURCE CENTER NEWS

CAM Embraces GPU Acceleration
New CAM software releases leverage NVIDIA RTX GPU power to provide faster
results.




AI at the Edge
At Autodesk University 2024, Dell and NVIDIA will outline the role of
professional workstations for AI-enabled...




SIGGRAPH 2024: NVIDIA Releases Microservices to Empower AI Apps and Robot
Training
NVIDIA NIMs expected to attract developers to NVIDIA Omniverse™




GPUs Lift Heavy Simulation Load
Using Altair EDEM and NVIDIA RTX™ GPUs, Astec Industries has improved and
accelerated its DEM...




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ENGINEERING RESOURCE CENTER RESOURCES



AI-Powered Engineering
In this Special Digital Issue, we look at how AI is being incorporated into
simulation...



Artificial Intelligence for Design and Engineering Workflows
In this white paper, learn how artificial intelligence and machine learning can
improve design and...





Engineering Resource Center Resources


LATEST NEWS


America Makes Names New Members of Executive Committee



CONTACT Software Expands PLM Module



Exactech Uses 3D-Printed Tibial Implants in Ankle Surgeries



Academic Program Expands Knowledge of Data Management



Wayland Connect In-Process Monitoring Software Available



Securing the Future of Medical Devices for Connected Health 



All posts










BY DE EDITORS




Produced in partnership with Dell and NVIDIA, the Advanced Product Development
Resource Center is an ever-growing repository of information to help design
engineering teams capitalize on digital disruption through the use of today’s
most advanced computing, design, simulation and visualization technologies.

 

Access the Resource Center

 

Our coverage of immersive design (VR/AR, real-time rendering, real-time
simulation, photorealistic material rendering, toolpath simulation), design
complexity (larger models, system design, multiphysics, cyber-physical systems),
mobility (mobile workstations, cloud computing, virtual machines), digital
disruption (big data/IoT; digital twins; AI/machine learning; automation/smart
factories), collaboration (connectivity, 5G, data exchange, VR, PLM), and
increased productivity (VAR certification, workstation configuration, GPU
accelerated computing) is divided among five stages of the product development
cycle.

 

 * Conceptual Design
 * Detailed Design
 * Simulation & Analysis
 * Visualization
 * CAM

 


CONCEPTUAL DESIGN

Even the napkin sketch to get initial ideas onto paper has gone digital.
Designers and engineers can sketch out concepts for form, fit, function and
interactivity on the screen. Digitization means those concepts can be easily
stored for future use so no idea is lost, quickly shared with collaborators and,
when the time is right, exported into CAD. Conceptual design software has
advanced to the point where generative design algorithms can recommend designs
they may never have considered.


DETAILED DESIGN

Traditional computer-aided design (CAD) software has taken advantage of
ever-increasing computing power to enable globally dispersed design engineering
teams to work with larger, more complex components that comprise the
interconnected mechanical, electrical and software systems of today's products.
As CAD programs have expanded to include useful initial simulation
functionality, data visualization, data management, rendering features and more,
workstations, servers, clusters and cloud-computing advances ensure design
engineers can innovate at the speed of thought.


SIMULATION & ANALYSIS

The lines separating CAD and computer-aided engineering (CAE) simulation &
analysis software continue to blur, but experts employing numerical engineering
simulation techniques such as structural finite element analysis (FEA),
computational fluid dynamics (CFD) and multibody simulation save significant
time and money that would otherwise be spent on physical testing, engineering
change orders from manufacturing and even product recalls. Predictive
engineering technologies driven by advances in computing and graphics are
allowing engineers to optimize product design spaces to meet specific
requirements, which enables true simulation-led design.


VISUALIZATION

Simulation can predict how a product will perform under various conditions, but
in today's experience economy, the way a product looks, feels and interacts with
users is just as important. Visualization software uses powerful graphics
processing advances to create photorealistic renderings of the product,
including the varied materials inherent in products and how they react to
different real-world lighting conditions. Visualization also improves
collaboration by showing stakeholders how a product will look and perform—even
to the point of allowing users to experience the product in virtual reality (VR)
and augmented reality (AR). Today's virtual prototypes have become so realistic
that products can be marketed before they're even physically produced.


COMPUTER-AIDED MANUFACTURING (CAM)

Advances in 3D printing/additive manufacturing and computer-aided manufacturing
are having a significant impact on the design cycle. Design engineers use
hardware and software that can simulate CAM toolpaths and ease design for
additive manufacturing (DFaM) learning curves to create functional prototypes
and short-run products to help avoid any design issues that could bottleneck the
manufacturing process.

 
 


PLUS +

The design cycle is not a simple circle. It consists of a multitude of data
points flowing in many different directions along the product lifecycle that
prompt decisions to be made and actions to be taken in parallel. Connected
products that make up the digital disruption driving businesses today—the
internet of things (IoT), the industrial IoT, autonomous cars, digital twins and
the factory of the future—all start with design engineering, but design
engineering doesn't end at manufacturing. Those connected products are
collecting big data about how and where they are used that can be parsed using
artificial intelligence (AI) to help design engineers develop the next
generation of improved products.

The Advanced Product Development Resource Center's mission is to help design
engineers capitalize on the amazing technological advances in product design
that are driving digital disruption in manufacturing. Visit the resource center
for the latest developments on technological advances, videos, white papers and
more from DE, Dell and NVIDIA.

 

Access the Resource Center






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LATEST NEWS


America Makes Names New Members of Executive Committee



CONTACT Software Expands PLM Module



Exactech Uses 3D-Printed Tibial Implants in Ankle Surgeries



Academic Program Expands Knowledge of Data Management



Wayland Connect In-Process Monitoring Software Available



Securing the Future of Medical Devices for Connected Health 



All posts







ABOUT THE AUTHOR


DE Editors


DE’s editors contribute news and new product announcements to Digital
Engineering.
Press releases may be sent to them via DE-Editors@digitaleng.news.

Follow DE



RELATED TOPICS

Resources   Engineering Resource Center   APDRC   All topics


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 Digital Engineering Topics
 
 
 
 
 




DESIGN

 * CAD
 * Electronic CAD
 * Rendering
 * Generative Design
 * Conceptual Design
 * CAM
 * Virtual Reality and
   Augmented Reality


SIMULATE

 * CFD
 * Design Exploration
   and Optimization
 * FEA
 * NVH
 * System Simulation
 * Visualization
 * 3D Printing Simulation
 * Pre-processing
   and Meshing
 * Multiphysics
 * Robotics


ADDITIVE

 * 3D Printing
 * 3D Scanning
 * Design for Additive
 * Materials
 * Rapid Prototyping
 * Post-Processing
   and Finishing




DIGITAL THREAD

 * PLM
 * IoT
 * Compliance
 * Digital Twin
 * Collaboration


COMPUTING

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 * Graphics
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 * Cloud Computing
 * Cluster Computing
 * Peripherals
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