AI Generative Design Transforms Engineering
Heventhal says this new approach to engineering, known as “generative design,” is going to revolutionize manufacturing over the next decade. Generative AI can be used in interior design and architecture to generate new ideas for room layouts, furniture placement, and color schemes. The algorithms can be trained to generate designs based on specific styles, such as modern, minimalist, or rustic, and can then be used to quickly create new designs for homes or commercial spaces. Convergence Consulting’s AI-driven generative design solutions have been successfully implemented in numerous projects, resulting in tangible benefits for its clients. CAD is a type of software that helps designers create 3D models of parts and products. It is useful for creating virtual prototypes and performing simulations to test the strength, stability, and durability of a product.
The starter kit includes models for fine-tuning object shapes and styles, enabling quick customizations to initial designs. Empower your customers to edit products with the creation of customer-facing design tools. Generative design plays a significant role in Yakov Livshits manufacturing by automatically generating design options that meet your requirements, improving efficiency. This is especially important when parts or tools must fit into an established workflow or pipeline, where retooling can be disruptive and expensive.
Applications of Generative design
Integration with advanced manufacturing technologies such as additive manufacturing (3D printing) and robotics will enable the seamless transition from design to production, further streamlining the engineering process. Secondly, AI-driven generative design optimizes designs based on specific goals and constraints, resulting in highly efficient and functional products. By simulating and analyzing performance factors such as stress, weight, airflow, and heat transfer, engineers can identify the most optimal design configurations that meet or exceed the desired criteria.
For example, in the automotive industry, generative design has been used to create lightweight components that reduce fuel consumption and emissions. By optimizing the design of a car’s chassis or suspension system, engineers can create vehicles that are lighter, stronger, and more fuel-efficient. Similarly, in aerospace, generative design has been used to create lighter and more efficient aircraft components, leading to significant reductions in fuel consumption and greenhouse gas emissions. As a forward-thinking company at the forefront of technological advancements, Convergence Consulting has embraced AI-driven generative design as a core component of its engineering process. By integrating cutting-edge AI algorithms and sophisticated simulation tools, Convergence Consulting has unlocked the full potential of generative design to deliver exceptional value to its clients.
Use Generative AI To Design Now — It’s The Beginning Of A Major Transformation
More choices give us more opportunities to make the wrong decision, which is something we fear. Automated detailing is set to revolutionize construction through its use of robotics and digital fabrication. This is because AI breaks down the limits to creativity and minimizes human error. AI can help design medical implants or prosthetic devices that are tailored to individual anatomies, ensuring better compatibility and performance.
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.
With 20+ years of experience and unmatched industry expertise, AMC Bridge enables digital transformation for clients in engineering, manufacturing, and AEC industries. We do it by creating custom software solutions that eliminate data silos, connect complex applications, unlock and promote internal innovation, and democratize cutting-edge technologies. These advancements reshape the idea-to-design journey, reducing reliance on 3D designs as the sole means of conveying intent. Traditional designs, whether 2D or 3D, have historically translated customer needs into products. However, this hampers the industry by confining insights, constraints, and goals within an opaque design, hindering quick adjustments and innovation adoption like 3D printing.
We dive into “generative design,” a fancy term for using computer programs to create really complex designs and make them better in certain ways (like cheaper, lighter, or more efficient). Overall, generative AI can increase efficiency, creativity, and accuracy in the design process and offer new opportunities for designers to enhance their work. Overall, generative AI can streamline the design process, generate novel design options, and offer insights into various aspects of the design process. Generative AI can be used in marketing to automate the creation of designs for advertisements, logos, or websites. The algorithms can be trained to generate designs based on a specific brand’s style and colors, and can then be used to quickly create designs for new marketing campaigns.
These AI algorithms sift through countless possibilities and produce novel solutions that most human designers might overlook. AI-driven generative design represents a significant breakthrough in the engineering industry, enabling engineers to redefine the design process and push the boundaries of what is possible. Convergence Consulting’s leadership in this field, coupled with its expertise in AI and engineering, positions the company at the forefront of this transformative technology. Sidewalk Labs has unveiled Delve, a new generative design tool that aims to help developers, architects and urban designers identify better neighborhood design options. It uses machine learning to reveal optimal design options from a series of core components, including buildings, open spaces, amenities, streets, and energy infrastructure. By applying machine learning, it explores millions of design possibilities for a given project while measuring the impact of design choices.
Generative design is also making an impact in the aerospace industry, where new aircraft part designs are unlocking greater efficiency, performance, and safety. Like the automotive industry, aerospace is leveraging generative design to create more lightweight parts for better fuel efficiency. To summarize, generative design can generate various design options based on inputs such as geometrical shapes and constraints. Generative design tools that could rely on a real-time CFD solution would show the clear advantage of working on the simultaneous exploration of new shapes and their simulation.
But the numbers are not the only thing differentiating these two processes. What topology optimization doesn’t account for is that any design developed through traditional means is essentially biased. Autodesk is one of the leading generative software companies in the world, and they are not just spearheading the use of generative design in space. What’s more, GAN technology is capable of detecting 3D objects from 2D images.