Afficher la notice abrégée

dc.contributor.editorZhang, Guoqing
dc.contributor.editorZhao, Zejia
dc.contributor.editorYIP, Wai Sze
dc.date.accessioned2023-01-05T12:36:29Z
dc.date.available2023-01-05T12:36:29Z
dc.date.issued2022
dc.identifierONIX_20230105_9783036560342_100
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/95871
dc.description.abstractMetal manufacturing is a fundamental and indispensable technology in the processing of raw metals into desired products, which significantly promotes the development of industry and society overall. This book presents original research and a state of the art review of contemporary metal manufacturing processes, especially in the modeling, optimization, and design of the manufacturing processes. This book covers topics such as machine learning algorithms in manufacturing metal products, the fabrication and optimization of mechanical properties of metals, and numerical simulations and experiments in the machining of metals. The book presents some essential theories and successful manufacturing techniques for the low-cost and highly efficient production of metals.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategyen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industriesen_US
dc.subject.othermachine learning
dc.subject.otherreinforcement learning
dc.subject.otherQ-learning
dc.subject.othersteelmaking process CAS-OB
dc.subject.otherdecision-support system
dc.subject.otheroptimisation algorithm
dc.subject.other3D auxetic structures
dc.subject.otherselective laser melting
dc.subject.othermicro assembled
dc.subject.otherstructural surface layer model
dc.subject.otherA380 alloy
dc.subject.otherCa
dc.subject.otherAlFeSi phase
dc.subject.otherrefine
dc.subject.othermicro-cutting
dc.subject.othergrain size
dc.subject.othersurface integrity
dc.subject.othercutting forces
dc.subject.otherchip formation
dc.subject.otherOFHC copper C102
dc.subject.otheramorphous alloys
dc.subject.otherFe-based amorphous alloys
dc.subject.otherdifficult-to-machine
dc.subject.otherassisted machining
dc.subject.otherhigh-frequency PCB
dc.subject.otherdrilling
dc.subject.othercoating technology
dc.subject.othertool wear
dc.subject.otherhot filament chemical vapor deposition
dc.subject.otherPCBN tool
dc.subject.othergray cast iron
dc.subject.othersurface quality
dc.subject.othertemperature prediction
dc.subject.otherweighted regularized extreme learning machine
dc.subject.otherjust-in-time learning
dc.subject.othersample similarities
dc.subject.othervariable correlations
dc.subject.othertool edge preparation
dc.subject.otherorthogonal cutting
dc.subject.othernumerical simulation
dc.subject.otherANOVA
dc.subject.othertemperature
dc.subject.otherstress
dc.subject.otherECAP
dc.subject.othermetallic materials
dc.subject.otherprocessing parameters
dc.subject.otherdeformation mechanism
dc.subject.othern/a
dc.titleModeling, Optimization and Design Method of Metal Manufacturing Processes
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-6033-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036560342
oapen.relation.isbn9783036560335
oapen.pages214
oapen.place.publicationBasel


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

https://creativecommons.org/licenses/by/4.0/
Excepté là où spécifié autrement, la license de ce document est décrite en tant que https://creativecommons.org/licenses/by/4.0/