AI for Computational Design and Manufacturing

AI for Computational Design and Manufacturing: Smart Workflows for High-Volume, Customized Product Design" is an advanced guide for engineers, designers, and AI professionals seeking to leverage artificial intelligence for next-generation design and manufacturing solutions. As industries demand greater efficiency, mass customization, and innovative product development, AI-driven computational design has become a key enabler for smart workflows and scalable automation.

This book explores the intersection of artificial intelligence, machine learning, and algorithmic design to help professionals create optimized, adaptive, and intelligent design systems. Readers will learn how to apply AI for generative design, predictive modeling, and design automation while integrating these strategies into advanced manufacturing workflows. With real-world case studies and a focus on both conceptual and practical knowledge, this book empowers readers to harness AI for innovation and competitiveness in modern industry.

Inside this book, you will learn:

Comprehensive insights into AI-driven computational design frameworks, showing how artificial intelligence enables generative design, topology optimization, and data-driven modeling for high-performance products.

Detailed coverage of smart workflows for design and manufacturing integration, explaining how AI-based systems streamline customization, automate repetitive tasks, and accelerate product development cycles in Industry 4.0 environments.

Practical applications of AI and machine learning in generative design, offering strategies for creating innovative structures, reducing material waste, and improving design efficiency across multiple industrial sectors.

Exploration of algorithmic design principles combined with AI automation, illustrating how computational design and advanced algorithms enhance creativity while maintaining manufacturability and scalability.

Case studies demonstrating the impact of AI in high-volume, customized manufacturing, providing real-world examples from industries such as automotive, aerospace, and consumer products where AI delivers measurable improvements.

Forward-looking discussion on artificial general intelligence and its potential role in design optimization, helping readers understand the future trajectory of AI-powered computational design and its implications for global manufacturing.