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Introduction to Generative Design for Aerospace Applications: From the Creative Process to Manufacturing [Pehme köide]

  • Formaat: Paperback / softback, 73 pages, kõrgus x laius: 235x155 mm, 15 Illustrations, color; 2 Illustrations, black and white; XII, 73 p. 17 illus., 15 illus. in color., 1 Paperback / softback
  • Sari: Manufacturing and Surface Engineering
  • Ilmumisaeg: 02-Jun-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031890523
  • ISBN-13: 9783031890529
Teised raamatud teemal:
  • Pehme köide
  • Hind: 48,70 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 57,29 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 73 pages, kõrgus x laius: 235x155 mm, 15 Illustrations, color; 2 Illustrations, black and white; XII, 73 p. 17 illus., 15 illus. in color., 1 Paperback / softback
  • Sari: Manufacturing and Surface Engineering
  • Ilmumisaeg: 02-Jun-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031890523
  • ISBN-13: 9783031890529
Teised raamatud teemal:

This book provides a comprehensive introduction to generative design in the aerospace sector, guiding readers from initial creative concepts to the final stages of manufacturing. It offers a thorough exploration of sustainable production methods, cutting-edge technological advancements, and the principles of generative design. With a focus on artificial intelligence's role in optimizing design and manufacturing, this book also delves into topology optimization, offering valuable insights for both newcomers and experienced professionals in the field. Through practical examples and a structured approach, readers will gain a solid understanding of the innovations shaping the future of aerospace design.

1. Introduction.-
2. The creative trail.-
3. Sustainable production.-
4.
All about the technology.-
5. Structural optimization.-
6. Generative
design.-
7. Concluding remarks and conclusions.