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ADVANTAGE ISSUE 3/2022

ADVANTAGE ISSUE 3/2022
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ADVANTAGE ISSUE 3/2022

Product catalog summary
Editorial Overview
Ansys Advantage Issue 3 of 2022 highlights the integration of Ansys products, services, and partner ecosystems to tackle complex engineering challenges. It underscores the role of simulation in advancing product design and development, emphasizing Ansys' contribution to innovation across various industries.
Model-Based Systems Engineering (MBSE)
MBSE replaces traditional documents with digital models encapsulating system requirements, architecture, and interfaces, enhancing communication and decision-making throughout the product lifecycle. Ansys ModelCenter connects engineering analysis software to systems architecture, supporting this approach.
Autonomous Vehicles
MBSE improves the safety and cybersecurity of autonomous vehicles. A case study on Hitachi Industry & Control Solutions Ltd. illustrates the establishment of an MBSE Design Lab to balance functional safety and cybersecurity.
Digital Mission Engineering
Digital modeling, simulation, and analysis are used to incorporate operational environments and evaluate mission outcomes, crucial for informed engineering and planning decisions early in the product lifecycle.
Python Scripting with PyAnsys
PyAnsys integrates Ansys simulations into Python-based products, expanding the accessibility and application of Ansys technologies.
Cloud Computing with Ansys Gateway Powered by AWS
Ansys Gateway powered by AWS offers customizable cloud configurations to enhance collaboration among engineers, providing scalable access to Ansys simulation tools.
Digital Twins
Digital twins, facilitated by AWS IoT TwinMaker and Ansys Twin Builder, enable the creation of predictive and "living" models that drive greater industrial autonomy.
Artificial Intelligence and Digital Twins
Microsoft's use of machine teaching with digital twins showcases how AI can advise human operators on decision-making processes.
CFD in the Cloud
Professor Bert Blocken's team uses CFD to model Covid-19 aerosol flow in stadiums, demonstrating the application of cloud-based simulation in public health.
Robust Design Optimization
Ansys optiSLang optimizes design efforts by factoring in uncertainties and tolerance variations, ensuring optimal configurations for designs.
Technology and Channel Partners
Ansys' ecosystem of over 350 technology partners and global channel partners is crucial for delivering simulation solutions and fostering innovation.
Sustainability and Simulation
Combitech's use of Ansys Additive Suite to verify selective laser melting in manufacturing small cooling channels illustrates the role of simulation in sustainable practices.
Conclusion
The issue underscores the transformative power of simulation in engineering, emphasizing its role in digital transformation and innovation across industries.
Introduction to MBSE
MBSE is a methodology that replaces traditional document-based systems engineering with digital models, ensuring consistency and coordination throughout a system's lifecycle. It addresses issues such as document upkeep, human interpretation errors, and verifiability of system requirements.
Core Components of MBSE
1. System Architect Model (SAM): Represents the system's architecture and requirements using connected block diagrams.
2. Engineering Simulation Software: Used to verify if the system meets its requirements through various simulations.
3. Centralized Computation Center: Stores and executes all MBSE processes and results.
Implementation with Ansys Software
Ansys software supports MBSE by providing simulation tools that connect with the SAM. Ansys ModelCenter integrates these simulations, allowing for virtual verification of designs.
Benefits of MBSE
MBSE facilitates early problem identification, reducing costs and improving decision-making throughout the design lifecycle.
MBSE in Practice
MBSE has been adopted in various sectors, notably by the U.S. Department of Defense and the automotive industry.
Case Study: Hitachi Industry & Control Solutions
Hitachi has transitioned to MBSE to manage the development of complex automotive systems, utilizing Ansys tools to integrate safety and cybersecurity analyses.
Conclusion
MBSE represents a significant shift in systems engineering, offering a structured approach to managing complex systems across various industries.
Introduction to MBSE at Hitachi Industry & Control Solutions
MBSE is introduced as a method to manage complex systems by creating a system model that expresses the relationship between multifaceted requirements and functions.
The Three Axes of MBSE
Hitachi Industry & Control Solutions has developed an MBSE framework based on three axes: How to Proceed, How to Model, and How to Think.
Integration of Simulation in MBSE
MBSE facilitates frequent analysis and simulation in early product development stages, allowing for requirement confirmation and design alternative reviews before prototype investments.
Digital Mission Engineering
Digital mission engineering involves using digital modeling, physics-based simulation, and analysis to evaluate mission outcomes and effectiveness throughout the lifecycle.
Applications and Benefits
Digital mission engineering increases efficiency and reduces costs from product design through operations.
Introduction to Digital Mission Engineering
Digital mission engineering involves using simulations to gain insights without performing real-world tasks.
Simulation and PyAnsys
Simulation tasks are becoming more automated with tools like PyAnsys, which integrates Ansys-based simulations into Python projects.
Benefits of Using Python
Python's popularity and extensive libraries make it ideal for integrating with Ansys products.
Real-World Applications
Companies like Bewind GmbH use PyAnsys to automate workflows, improving accuracy and efficiency.
Ansys Gateway Powered by AWS
Ansys Gateway, powered by AWS, offers a scalable cloud solution for deploying Ansys applications.
Conclusion
PyAnsys and Ansys Gateway powered by AWS represent significant advancements in simulation technology.
Ansys Gateway Powered by AWS
Ansys Gateway powered by AWS is designed to enhance customer experience by providing a secure, reliable, and customizable remote simulation processing environment.
Tested Performance
The performance of Ansys Gateway powered by AWS has been validated by demanding customers like Emirates Team New Zealand.
Digital Twins and Industrial Autonomy
Ansys and AWS are collaborating to advance digital twin technology, which is crucial for industrial autonomy.
Ansys Twin Builder and AWS IoT TwinMaker
Ansys Twin Builder allows engineers to create physics-based digital twins with hybrid analytics.
Unlocking Simulation Investments
By integrating Ansys Twin Builder with AWS IoT TwinMaker, organizations can maximize their simulation investments.
Introduction
This document discusses the integration of AI and digital twins in industrial automation, focusing on the collaboration between Microsoft and Ansys Twin Builder.
Machine Teaching vs. Machine Learning
Machine learning traditionally relies on large datasets for pattern recognition, while machine teaching mimics human learning by breaking down processes into smaller tasks.
The Role of Digital Twins
Digital twins simulate physical processes, generating data for AI training more efficiently than physical machines.
How It Works
Engineers use Ansys Twin Builder to create system-level models combining various modeling techniques.
Application in Cabin Pressure Control Systems
The document illustrates the use of digital twins in a cabin pressure control system (CPCS) for aircraft.
CFD Simulations and COVID-19 Aerosol Flow
The document also covers the use of computational fluid dynamics (CFD) simulations to study COVID-19 aerosol flow in stadiums.
Conclusion
The integration of digital twins and AI represents a significant advancement in industrial automation.
Simulation of Aerosol Dispersion in Stadiums
Professor Bert Blocken and his team used CFD simulations to study aerosol dispersion in the Johan Cruijff ArenA.
Robust Design Optimization with Ansys optiSLang
Ansys optiSLang is a PIDO solution that integrates robust design optimization algorithms into Ansys Workbench and AEDT.
Open Ecosystem and Technology Partnerships
Ansys emphasizes an open ecosystem through its Technology Partner Program, which includes over 350 partners.
Tackling Server EMI
Electromagnetic interference (EMI) is a significant challenge in the electronics industry.
Ansys and NVIDIA: Faster Simulation, Lower Hardware Cost
Ansys and NVIDIA have partnered to optimize simulation performance using NVIDIA's GPUs.
Ansys and Microsoft: Boosting Chip Development
In collaboration with Microsoft, Ansys Cloud Direct allows IC designers to perform high-fidelity simulations of RFIC designs.
NI and Ansys: Joint Solutions for Customers
Ansys and NI have partnered to enhance design accuracy through joint solutions.
Digital Mission Engineering in Motion
STK provides a comprehensive simulation platform for mission planning.
Upcoming Missions Made Possible
NI's validation solutions, combined with Ansys' simulation tools, enable the exploration of unprecedented scenarios.
Channel Partners and Their Role
Channel partners play a crucial role in ensuring customer success and sustainable growth for Ansys.
Strength in Numbers
Channel partners significantly bolster Ansys's presence globally.
Specialization and Vertical Integration
As Ansys's product portfolio grows, some channel partners have specialized in high-demand products.
Long-term Relationships
Ansys has a long history of working with channel partners, some relationships spanning over 30 years.
Digital Cockpit and Infotainment Systems
The integration of digital technologies in vehicles is transforming the driving experience.
Challenges and Solutions in High-Speed Signal Measurement
High-speed signals in infotainment systems pose measurement challenges.
Future of In-Vehicle Functionality
Looking ahead, the integration of in-vehicle functionalities is expected to deepen.
Signal Integrity in Automotive Cockpits
Signal integrity (SI) is crucial in automotive cockpits.
Additive Manufacturing and Sustainability
Additive manufacturing (AM) is a key trend in sustainable manufacturing.
Simulation in Additive Manufacturing
Combitech uses Ansys software to simulate production processes.
Environmental Impact and Efficiency
Vinnova's SIP Production2030 program supports projects like Combitech's to enhance sustainability in manufacturing.
Metamaterials and Direct Functional Modeling
Nature Architects uses metamaterials to incorporate advanced physical functions into products.
Introduction
The document discusses the innovative use of integrated plastic honeycomb structures in product design.
Technological Advancements
Nature Architects utilizes DFM (Design for Manufacturing) technology and advanced simulations through the Ansys Startup Program.
Structural Design
The engineering plastic plate features a perforated structure that conforms to the human body.
Solutions in Action
DFM technology enhances traditional functional modeling by generating metamaterial structures.
Applications and Collaborations
Nature Architects provides metamaterials and DFM solutions to manufacturers.
Metamaterials and Innovation
Metamaterials are crucial to DFM solutions, offering properties tailored to specific applications.
Conclusion
Nature Architects leverages conventional manufacturing methods and Ansys simulations to innovate product designs.
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Catalog excerpts

ADVANTAGE ISSUE 3/2022-1

EXCELLENCE IN ENGINEERING SIMULATION 6 Model-Based Systems Engineering Explained PyAnsys: Tap into Ansys Simulation with Python Introducing Ansys Gateway Powered by AWS Ansys Advantage

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ADVANTAGE ISSUE 3/2022-2

COMPLETE SIMULATION’S NEW MISSION MBSE ENHANCES THE SAFETY AND CYBERSECURITY OF AUTONOMOUS VEHICLES ACCESS THE POWER OF ANSYS WITH PYTHON Discover how Ansys’ integrated products, services, and partner ecosystem make it easier to connect your digital thread to meet the complex engineering challenges that will advance society as a whole. SYSTEMS ENGINEERING MODEL-BASED SYSTEMS ENGINEERING EXPLAINED Learn how MBSE enables you to replace static documents with “intelligent” digital models that contain everything important about the system — the requirements, architecture, and interfaces between system...

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ADVANTAGE ISSUE 3/2022-3

TEACHING ‘BRAINS’ USING DIGITAL TWINS A LINK AROUND THE WORLD ARTIFICIAL INTELLIGENCE See how Microsoft is using machine teaching, not machine learning, to train “brains” that can be used to advise a human operator on the best decision to make. SIMULATION PREDICTS COVID-19 AEROSOL FLOW IN STADIUMS Follow Professor Bert Blocken’s team as they use CFD to understand how Covidcontaining aerosols travel throughout crowded stadiums, leading to a predictive model that could minimize future stadium closures. ROBUST DESIGN OPTIMIZATION OPTIMIZE DESIGN OPTIMIZATION EFFORTS Learn how Ansys optiSLang factors...

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ADVANTAGE ISSUE 3/2022-4

Complete Simulation’s New Mission By Jane Trenaman, Senior Director, Product Management, Ansys When Ansys began, more than 50 years ago, our goal was to help you use structural simulation to verify physical tests. Over the years, simulation came to be defined by the physics challenges being solved — structural, thermal, fluidic, optical, electromagnetic – and the Ansys product portfolio expanded, incorporating bestin-class physics simulation capabilities across a broad spectrum of engineering disciplines. Our goal was to help you answer the engineering challenges you faced. Today, our goal is...

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ADVANTAGE ISSUE 3/2022-5

tap into the cloud compute strength of Microsoft Azure. Our new Ansys Gateway powered by AWS offering enables you to use your existing AWS cloud subscription to support your use of Ansys simulation. You can read how Ansys Cloud was used to simulate airflow in an entire stadium on page 34 and see how Emirates Team New Zealand is using Ansys simulation to help design its winning America’s Cup yachts via Ansys Gateway powered by AWS on page 22. Ansys and third-party tools, as well as your in-house solutions, to automate simulation workflows. CAPTURE AND MANAGE THE DATA More simulation means more...

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ADVANTAGE ISSUE 3/2022-6

MODEL-BASED SYSTEMS ENGINEERING EXPLAINED By Tim Palucka, Managing Editor, Ansys Advantage Model-based systems engineering (MBSE) is a methodology that focuses on creating and exploiting digital system and engineering domain models as the primary means of exchange of information, feedback, and requirements, rather than relying on documents. It involves the entire process of capturing, communicating, and making sure all the digital models we use to represent a system are coordinated and maintained throughout the entire life cycle of the system. Ansys Advantage Ansys Advantage

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ADVANTAGE ISSUE 3/2022-7

and integrating the simulation into this “Automating allows the team to rapidly identify potential system model issues with changes to mission requirements ... The overall improvement versus the original process was about a 7X speedup in turnaround time. — Phathom Atena Donald, Systems Engineer, Lockheed Martin Space rior to about 2010, a system engineering design was likely to be a bunch of related papers and documents containing drawings, diagrams, mathematical formulas, requirements, and other specifications for how the system would work. But around that time, projects became too large to...

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ADVANTAGE ISSUE 3/2022-8

Ansys ModelCenter’s Behavior Execution Engine (BEE) integration ensures that system design meets behavioral requirements early in the development life cycle. comprehensive list of qualities that the system is required to have or functions it is required to perform (i.e., the requirements). SAMs are created using specialized software programs and utilize purpose-built languages for describing system architectures. 2. Engineering simulation software. A SAM can be compared to a computer-aided design (CAD) drawing — it describes the system in detail, but there is no way to tell from the SAM alone...

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ADVANTAGE ISSUE 3/2022-9

As the design cycle progresses and the product design is refined, engineers can use Ansys MBSE technology to assess whether the as-designed system meets the specified requirements, or whether changes have to be made. When changes are made to the requirements or the SAM, the entire procedure can repeat until results satisfy specifications, verifying that the design will work as intended throughout the product’s lifetime. Only after these requirements have been satisfied will the team build a physical prototype of the design to perform physical tests on it. The value of MBSE is that it enables...

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ADVANTAGE ISSUE 3/2022-10

MBSE Enhances the Safety and Cybersecurity of Autonomous Vehicles By Tim Palucka, Managing Editor, Ansys Advantage The continuing enhancement of automobiles with advanced driver assist systems (ADAS) and the ongoing quest to produce fully autonomous vehicles (AVs) that communicate with each other on the road leads to larger, more complex systems. Simultaneously, it demands more safety and security in automobile systems design. But safety and security requirements can sometimes clash. To make a car safer requires additional components to monitor the operation of the vehicle, but these components...

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ADVANTAGE ISSUE 3/2022-11

o support development of such large, complex systems and provide a robust development framework for automotive system designs, Hitachi Industry & Control Solutions, Ltd. (Hitachi Industry & Control Solutions) of Japan established a specialized department called the MBSE Design Lab in 2019. It expanded to become the MBSE Design Center in October 2022. This model-based systems engineering (MBSE) Design Center features Ansys SCADE embedded software and Ansys medini analyze functional safety and cybersecurity simulation software as key elements of their approach to designing safe and secure automobiles....

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