TY  - BOOK
AU  - Karakoc,T.Hikmet
AU  - Colpan,Can Ozgur
AU  - Dalkiran,Alper
ED  - SpringerLink (Online service)
TI  - Sustainable Materials and Manufacturing Techniques in Aviation
T2  - Sustainable Aviation,
SN  - 9783031629877
AV  - TL1-4050 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Aerospace engineering
KW  - Astronautics
KW  - Materials
KW  - Sustainability
KW  - Vehicles
KW  - Composite materials
KW  - Aerospace Technology and Astronautics
KW  - Materials Engineering
KW  - Vehicle Engineering
KW  - Composites
N1  - Selection of Composite Materials for Aircraft -- Biocomposites as Aircraft Materials -- Life Cycle Assessment of the Use of Sustainable Materials in Aviation -- Energy Savings From New Materials and Processes in Aviation -- Green Manufacturing in Aviation -- Additive Manufacturing in Aviation -- Manufacturing Techniques in Electrified Aircraft -- Artificial Intelligence and Machine Learning in the Manufacturing of Aircraft
N2  - This book offers comprehensive coverage of sustainable materials and manufacturing techniques in aviation that reduce fuel consumption, increase operational efficiency, and make more sustainable use of raw materials, energy, and water during manufacturing. Materials that enable the aircraft to be lightweight without compromising safety issues are covered. The sustainability aspects in selecting the materials and manufacturing techniques, as well as performance, cost, and environmental aspects are discussed. Artificial intelligence, machine learning, and digital twins in manufacturing are covered. Sustainable Materials and Manufacturing Techniques in Aviation will appeal to a broad readership in the aviation community, including students, engineers, scientists, and researchers, as a reference source for material science and modern production techniques. Offers guidance on the selection of sustainable materials for aircraft; Discusses additive manufacturing for aviation applications; Covers artificial intelligence and machine learning as well as digital twin in manufacturing.
UR  - https://doi.org/10.1007/978-3-031-62987-7
ER  -