This roundtable discussion will explore the power of computational design in promoting sustainable development. We'll provide practical knowledge of the tools and techniques used to implement circular design principles, and we'll evaluate the ethical and social implications of using data analytics and modeling to evaluate the environmental impact of design decisions. This topic highlights the importance of resource conservation and regeneration and promotes a more sustainable future. The concept of the circular economy has gained momentum in recent years as a more sustainable and efficient model for resource use. In this context, computational design has emerged as a key enabler of the circular economy by optimizing material usage and reducing waste.

In this course, the Evangelist Team will share how Fusion 360 software and Autodesk Generative Design tools in Fusion 360 can be used as part of a design exploration strategy for industrial designers, expediting the process from conceptual development to product development, helping to make decisions on the design strategy and aesthetic directions of a product.

ChatGPT is an artificial intelligence chatbot that OpenAI developed and released in November 2022 with an $11+ billion investment from Microsoft. Going from a prototype we developed during an Autodesk Hackathon, you'll learn how you can use ChatGPT to create modeling objects or take action on your existing model design by either voice or text input. You will also get a chance to hear firsthand about the benefits and challenges we learned while integrating this developing technology into a flagship application.

In the right hands, generative design in Fusion 360 has enormous capability to radically transform and improve your design process, using the power of intelligent algorithms to create complex, high performing designs in a fraction of the time it would take manually. To get there however, you need to learn to speak the language of generative design, understand how it works, when to use it, and to master some of the techniques and tools which are unique to this design process. In this hands on lab, we'll equip with a variety of practical tools and techniques you can use to get better results from generative design whether you're just starting out, or further along on your journey. We'll delve into some of the lesser used features that can have a huge impact on the quality of your final outcome and take your designs from good to great. Throughout, we'll focus on demonstrating these tools on a variety of relevant applications from a variety of different industries, so that you can have a better idea of where and how you can apply generative design to your own work.

To meet global demand for affordable and sustainable housing, the architecture, engineering, and construction (AEC) industry must streamline the design-to-construction process. Modular builders—like Factory_OS—are doing just that by productizing their building systems to generate customizable buildings from a catalog of construction-ready unit types. With Factory_OS, Autodesk Research has developed new design methods that connect their building unit catalog with AI-powered generative design to create multiple design options. This case study demonstrates how new procedural design systems enabled rapid, no-code design exploration while balancing trade-offs between cost, carbon, and habitability. The study also showcases how the prototype made it onto Autodesk Forma using the developer extension model to deliver customized novel design functionality and metrics. Going beyond existing capabilities, Autodesk Research and Autodesk Forma enabled Factory_OS to rapidly and intuitively evaluate new development projects in a data-informed manner.

Building configurators are essential in the industrialized construction (IC) space. By using tools like Dynamo with Revit software, we can efficiently create an assembled building using basic design for manufacture and assembly (DfMA) assumptions. A configurator enables us to quickly search libraries for company assemblies and their parameter values, suggest previously engineered products (assemblies), and place these suggested products in their assumed project locations. Using this tool reduces a three-week process to one hour, and it unifies data with design, all while creating a reliable model. In this class, you'll learn the techniques involved in building a configurator with Revit and Dynamo software. You'll also learn how to evolve the process for continuous optimization, create custom searches for your products, filter methods that mimic DfMA logic and how to consume other massing inputs. Lastly, we will share lessons learned in our own experiences building configurators and discuss what resources were needed.

In this class, you'll learn how to use generative design in Civil 3D software through Refinery. Starting with the prerequisite packages and initial setup, you will discover how to create a Dynamo graph for generative design purposes. You'll also learn how to create a study, assign methods, set constraints, and explore outcomes. This class assumes basic knowledge of Dynamo for Civil 3D. Join this class and take your design skills to the next level.

Generative artificial intelligence (AI) and large language models (LLMs) are bringing disruption across industries, changing the way we create images, text, and code. Within architecture, engineering, and construction (AEC), these tools will transform the design and construction process. Professionals in AEC must stay informed of this fast-moving technology to remain competitive and aware of the innovative design-and-make software. TileGPT is an LLM-powered prototype developed within Autodesk Research to generate optimized designs using intuitive and flexible text-based input. This session will cover the technical capabilities of this generative AI system, which uses optimization to enable rapid design exploration. It presents example use cases within AEC design, including performance-driven generation of building massing, site design, facade layouts, and more. With generative AI, Autodesk Research is expanding what's possible within design tools, and showcasing new design experiences that are fast, intuitive, and accessible.

Generative Design technology in Autodesk Fusion 360 software is becoming a household name for those who want to achieve better engineering outcomes in less time. In this session, you'll get a look at how Generative Design technology in Fusion 360 has matured in 2023, and we'll take a deep dive into how these improvements will help enable your success in the future. In addition to our technology discussion, we will also review examples where Generative Design technology has played a role in helping customers achieve new levels of success.

Generative design is used as an optimization technique to achieve a reasonable trade-off between weight and reliability for the control arm plate of a double wishbone suspension assembly of a Formula Student race car. Generative design is applied in order to develop a low-weight design alternative to a standard control-arm-plate design. In addition to an optimal material distribution, the generative design methodology provides several design outcomes for different materials and fabrication techniques. Based on the generative design recommendation, the print was developed with Ti-6Al-4V using SLM 280 2.0, which deposits layers of 60 ?m thickness, by employing a bidirectional powder recoating technology. The entire printing process is conducted in an inert atmosphere, filled with argon gas, with two 400 W IPG fiber lasers that scan the layers at a build rate of 113 cubic cm/hr. And the support removal is conducted using wire cutting.

Increased renewable energy in power grids has reduced the load factor of coal-based power plants. Independent thermal power producers face regulations to shut plants or operate at reduced load. However, there are grid stability and availability issues with solar and wind power. To address both, existing thermal power plants need to operate flexibly. In this mode, a plant quickly ramps down from 100% load to as low as 30% and ramps back up, based on renewable surplus or deficit, respectively. This deviation from actual design parameters leads to thermal mechanical stresses in equipment, impacting equipment life and site personnel safety. Material residual life is studied under such adverse operating conditions. Challenge is handled by modeling and simulating wide variations in steam process conditions on thick-walled piping. Autodesk Fusion 360 and Autodesk CFD software help us understand transient thermal behavior. This talk will focus on new business prospects, and how to predict equipment life and ensure grid stability.

Generative design is an innovative AI-powered design technology that enables designers and engineers to drive innovation, improve efficiency, and stay competitive by exploring design possibilities beyond their imagination. However, there is a common misconception that it only creates organic "bird bone” type structures that have no business in the real world, let alone in traditional manufacturing and its machinery. In reality, generative design can optimize structures for many common manufacturing methods. In this class, we'll demonstrate how Autodesk Fusion 360 software's Generative Design technology is used in real-world use cases via cost-effective 2-axis and 2.5-axis manufacturing methods. The session will cover the significant impact of constraints within a generative design setup, and we'll cover pain points in the manufacturing process using real-world examples. If you're interested in generative design for traditional manufacturing, this class is for you!

Have you ever thought about flow path optimization? Do you have great ideas that could change the world, but no fluid mechanics knowledge, time, or expensive CFD tools? All you need is Generative Fluids in Autodesk Fusion 360 software! We'll present a set of case studies in this session. The first ones will explain the basic aspects of flow path optimization. We'll discuss pressure drop, its reasons, and minimalization solutions in an easy-to-understand way. Then, we'll discuss more-complex designs in order to show how to use Fusion 360 capabilities and change inner flow paths into outer shells that are fully manufacturable parts. And we'll bring a few of our 3D-printed designs so you'll have a chance to handle them! By the very end, you'll understand the full potential of Generative Fluids optimization possibilities. This is the beginning of your flow optimization journey!

In this session, we’ll discuss how design for additive manufacture (DFAM) can influence the performance of additively manufactured parts. This session will focus primarily on laser powder-bed fusion, but concepts can be transferable to other additive techniques. We’ll explore lattices, hollow geometries, and thin walls as common features in lightweight designs, including the challenges that these can pose in design, post processing, and actual performance. Autodesk Research is currently undertaking research to characterize how as-built features perform (mechanically) compared to idealized conditions—generic bulk-material values found in literature. This will enable better representation of these features at the design stage to facilitate more accurate simulation and optimization. Attendees will leave more familiar with DFAM, considerations during the design process, and the impacts these have on overall part performance.

Challenging the deconstruction and decontamination of a former industrial site: the refinery of Dunkerque in France. From a huge data sets of 30 000 old plans and a dynamic scan of a 90Ha area, the low LOD Revit models were made manually but also automatically using IA with image recognition. The representations of the contamination and lithology is modelled with voxels and informed using interpolation scripts with Dynamo directly from georeferenced boreholes stored in excel datasheets. The aim of this BIM model is to create scenariis of depollution depending of what is located underground : pipes, concrete and pollutants.

While you make analyses using Inventor Nastran software, you do many things correctly (assigning the right connection types, applying the loads correctly, and so on). But if you aren't sure of the accuracy of the results, this class is for you. When you direct your parts or assemblies to the Inventor Nastran tab, by choosing the most accurate analysis type, you can simplify your assemblies for analysis, use the suitable mesh types, and define specific settings before analysis to bring results closer to reality. This class will show you how to choose the analysis and mesh type, what methods will simplify assemblies, and how to define settings to bring results closer to reality.

The demand for medical devices is rapidly growing with a forecast of global annual sales to reach nearly US$800 billion by 2030. But a one-size-fits-all approach in surgery often results in major complications such as infection, delayed or incomplete healing, and revision surgeries that contribute to diminishing clinical outcomes. A new approach with design thinking is now necessary to help solve these challenges. Researchers at University of Birmingham, Autodesk, Manufacturing Technology Centre (UK), and the University Hospitals Birmingham NHS Trust have developed a novel design framework to create personalized knee implants from a CT scan using generative design for treating arthritis. This class will showcase how generative design can be implemented in an all-encompassing digital workflow to explore customized devices and make a positive impact to improve patient outcomes. The team will also discuss the fabrication of functional prototypes using cutting-edge manufacturing, post-processing, and validation techniques.

Do you want to know how it's possible that the von Mises stress is twice as big as the yield point value and the model doesn't fail? Do you want to learn how to quickly prepare a simulation without errors? And, most importantly, do you want to learn how to correctly evaluate the results? This is the session just for you. FEA simulation software has been on the market for years, offering advanced analysis capabilities. However, knowledge from engineering practice is still lacking. These days, time moves faster than our traditional engineering workflow. Times have changed and now there is no time for trying. It's necessary to prepare a model with good mesh quality and results convergence in the first iteration. We will present good practices as well as tips and tricks for the simulation workflow. We'll look at complex and real industry examples in Autodesk Fusion 360 software and Inventor Nastran software.

This session will cover how Simulation and Generative Models allow you to create multiple shape variations in Simplify and Edit Model workspaces. In Design Workspace, Configurations allow users to quickly create multiple variations of a design based on feature parameters, physical material, and suppression, to name a few. Configurations created in the Design Workspace can be seamlessly consumed in Simulation and Generative Design. Using this, one can create multiple simulation studies quickly for analysis and compare them in the results workspace. In Generative Design this is useful to quickly create multiple studies involving different setup parameters resulting in a richer design space to explore outcomes.

Evolved Structures, a technology based on generative design and digital manufacturing, has the potential to revolutionize spaceflight system components. This presentation explores "prompt engineering" for guiding generative design artificial intelligence (AI) using textual and geometric information to create parts that meet functional, structural, and manufacturing requirements. By integrating essential design elements, engineers can maximize AI-driven optimization for innovative, high-performance spaceflight systems that are cost-effective and efficient to produce. The presentation will also showcase examples of fabricated hardware developed using this approach, which are slated for integration in future NASA missions.