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Descripción

Mechanical and Chemical Engineering in the Age of Artificial Intelligence is a comprehensive guide on the integration of artificial intelligence (AI) technologies. The book addresses the critical need to adapt to data-driven approaches, moving beyond traditional deterministic methods. Covering a wide array of topics, from generative design and predictive maintenance to smart manufacturing and sustainability initiatives, this book equips students, academics, and industry professionals with the essential knowledge to thrive in an AI-driven landscape. Delving into specifics, the book begins with an introduction to AI's role in Industry 4.0 and progresses through practical applications in robotics, energy systems, and process optimization.

It then explores the revolutionary impact of AI on drug discovery, green engineering, and the circular economy, while also addressing the challenges of adopting these technologies. Each chapter is designed to provide actionable insights, ensuring readers can implement AI solutions to real-world engineering challenges effectively.

  • Explores artificial intelligence (AI) methodologies, including machine learning, neural networks, and optimization techniques
  • Provides practical guidance on implementing AI solutions to address real-world engineering challenges
  • Discusses emerging trends in AI, such as generative AI and reinforcement learning
  • Evaluates AI-enabled sustainability initiatives
  • Guides engineers in preparing for the evolving technological landscape

1. 1. Introduction to mechanical and chemical engineering by the advances in artificial intelligence - p. 1 2. 2. The role of artificial intelligence in Industry 4.0 - p. 27 3. 3. Generative design and prototyping using artificial intelligence - p. 61 4. 4. Artificial intelligence in robotics, automation, and predictive maintenance for mechanical systems - p. 77 5. 5. Artificial intelligence in energy systems, sustainability, and decarbonization - p. 107 6. 6. Process optimization in chemical engineering using artificial intelligence - p. 137 7. 7. The future of drug discovery and biotechnology by the recent advancements in artificial intelligence - p. 157 8. 8. The role of artificial intelligence in smart manufacturing in chemical and mechanical engineering - p. 181 9. 9. Educational evolution in mechanical and chemical engineering in the artificial intelligence era: The change of teaching philosophy - p. 215 10. 10. Artificial intelligence in fluid mechanics and thermal engineering - p. 241 11. 11. The role of artificial intelligence in circular economy and waste management - p. 275 12. 12. Artificial intelligence in research methodologies and challenges for mechanical and chemical engineering - p. 305 13. 13. A vision for mechanical and chemical engineering in 2050 - p. 335 14. Index - p. 359

Descripcion
Descripción

Mechanical and Chemical Engineering in the Age of Artificial Intelligence is a comprehensive guide on the integration of artificial intelligence (AI) technologies. The book addresses the critical need to adapt to data-driven approaches, moving beyond traditional deterministic methods. Covering a wide array of topics, from generative design and predictive maintenance to smart manufacturing and sustainability initiatives, this book equips students, academics, and industry professionals with the essential knowledge to thrive in an AI-driven landscape. Delving into specifics, the book begins with an introduction to AI's role in Industry 4.0 and progresses through practical applications in robotics, energy systems, and process optimization.

It then explores the revolutionary impact of AI on drug discovery, green engineering, and the circular economy, while also addressing the challenges of adopting these technologies. Each chapter is designed to provide actionable insights, ensuring readers can implement AI solutions to real-world engineering challenges effectively.

  • Explores artificial intelligence (AI) methodologies, including machine learning, neural networks, and optimization techniques
  • Provides practical guidance on implementing AI solutions to address real-world engineering challenges
  • Discusses emerging trends in AI, such as generative AI and reinforcement learning
  • Evaluates AI-enabled sustainability initiatives
  • Guides engineers in preparing for the evolving technological landscape

1. 1. Introduction to mechanical and chemical engineering by the advances in artificial intelligence - p. 1 2. 2. The role of artificial intelligence in Industry 4.0 - p. 27 3. 3. Generative design and prototyping using artificial intelligence - p. 61 4. 4. Artificial intelligence in robotics, automation, and predictive maintenance for mechanical systems - p. 77 5. 5. Artificial intelligence in energy systems, sustainability, and decarbonization - p. 107 6. 6. Process optimization in chemical engineering using artificial intelligence - p. 137 7. 7. The future of drug discovery and biotechnology by the recent advancements in artificial intelligence - p. 157 8. 8. The role of artificial intelligence in smart manufacturing in chemical and mechanical engineering - p. 181 9. 9. Educational evolution in mechanical and chemical engineering in the artificial intelligence era: The change of teaching philosophy - p. 215 10. 10. Artificial intelligence in fluid mechanics and thermal engineering - p. 241 11. 11. The role of artificial intelligence in circular economy and waste management - p. 275 12. 12. Artificial intelligence in research methodologies and challenges for mechanical and chemical engineering - p. 305 13. 13. A vision for mechanical and chemical engineering in 2050 - p. 335 14. Index - p. 359

Indice
Autores
Muestra
Ficha Técnica