Notes for Manufacturing Instructors

From Class to Workshop

AvDiego Carou,J. Paulo Davim

Inbunden, Engelska, 2024

Del i serien Materials Forming, Machining and Tribology

1 698 kr

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Beskrivning

The book comprises 14 chapters covering a wide range of subjects, including design and simulations, various manufacturing processes such as additive manufacturing, injection molding, forming, machining, casting, and non-conventional machining, as well as process monitoring, metrology, and inspection using computed tomography.

Produktinformation

Utgivningsdatum:2024-01-24
Mått:155 x 235 x 23 mm
Vikt:731 g
Format:Inbunden
Språk:Engelska
Serie:Materials Forming, Machining and Tribology
Antal sidor:321
Förlag:Springer International Publishing AG
ISBN:9783031484674

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Mer om författaren

Diego Carou holds the position of Associate Professor at the Universidade de Vigo in Spain. He earned his Ph.D. in industrial engineering from the Universidad Nacional de Educación a Distancia (UNED) in 2013. With international postdoctoral experience in manufacturing processes across various European universities, his research interests encompass Industry 4.0, manufacturing, and sustainability. J. Paulo Davim is a Full Professor at the Universidade de Aveiro, Portugal. He is also distinguished as an honorary professor in several universities/colleges in China, India, and Spain. He has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical, and Industrial Engineering, with special emphasis in Machining and Tribology. He has also interest in Management, Engineering Education, and Higher Education for Sustainability.

Innehållsförteckning

Introduction.- Design for sustainability.- Design for additive manufacturing.- Machining using.- Plastic injection simulation.- Conventional machining: turning, drilling or milling.- Non-conventional machining.- Powder metallurgy.- Metal forming.- Finishing processes.- Foundry.- Mechanical fastening.- Adhesive joining.- Welding processes.- Coordinate measuring machines methodologies.- Tolerancing.- Design of experiments.- Machine learning.