Singular Solutions in Plasticity: SpringerBriefs in Applied Sciences and Technology
Autor Sergei Alexandroven Limba Engleză Paperback – 20 iul 2017
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Specificații
ISBN-13: 9789811052262
ISBN-10: 9811052263
Pagini: 120
Ilustrații: XI, 107 p. 40 illus.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.2 kg
Ediția:1st edition 2018
Editura: Springer
Colecția SpringerBriefs in Applied Sciences and Technology
Seria SpringerBriefs in Applied Sciences and Technology
Locul publicării:Singapore, Singapore
ISBN-10: 9811052263
Pagini: 120
Ilustrații: XI, 107 p. 40 illus.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.2 kg
Ediția:1st edition 2018
Editura: Springer
Colecția SpringerBriefs in Applied Sciences and Technology
Seria SpringerBriefs in Applied Sciences and Technology
Locul publicării:Singapore, Singapore
Cuprins
Introduction.- Rigid perfectly plastic material.- Rigid viscoplastic material.- Double shearing model.- Concluding Remarks.
Recenzii
“This monograph will serve as a useful fundamental or reference tools for the interested audience comprising practicing engineers, researchers and others working in the field of singular solutions in plasticity. The monograph is written in a lucid and concise manner. The value of the monograph is further enhanced by an extensive list of references and illustrative examples to exhibit the application of the numerical solution methodology to practical problems.” (Vinod K. Arya, zbMATH 1492.74003, 2022)
Textul de pe ultima copertă
This book deals with singular solutions that appear in the vicinity of maximum friction surfaces for several rigid plastic models. In particular, it discusses precise asymptotic expansions as a necessary ingredient for the development of efficient numerical methods to solve boundary value problems that involve the maximum friction law as a boundary condition. An applied aspect of the singular solutions considered is that these solutions are capable of predicting the development of narrow hard layers near frictional interfaces in manufacturing processes.
Caracteristici
Presents an efficient method for predicting the evolution of material properties in narrow hard layers Includes supplementary material: sn.pub/extras