rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advanced machining processes
    sub title: innovative modeling techniques
  name:
    name part: Markopoulos, Angelos P.
    name part: 1976-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Davim, J. Paulo
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Modeling and machining are two terms closely related. The benefits of the application of modeling on machining are well known. The advances in technology call for the use of more sophisticated machining methods for the production of high-end components. In turn, more complex, more suitable, and reliable modeling methods are required. This book pertains to machining and modeling, but focuses on the special aspects of both. Many researchers in academia and industry, who are looking for ways to refine their work, make it more detailed, increase their accuracy and reliability, or implement new features, will gain access to knowledge in this book that is very scare to find elsewhere."--Provided by publisher
  table of contents: Chapter 1 A particle finite element method applied to modeling and simulation of machining processes -- chapter 2 Smoothed particle hydrodynamics for modeling metal cutting -- chapter 3 Failure analysis of carbon fiber reinforced polymer multilayer composites during machining process -- chapter 4 Numerical modeling of sinker electrodischarge machining processes -- chapter 5 Modeling of interaction between precision machining process and machine tools -- chapter 6 Large-scale molecular dynamics simulations of nanomachining -- chapter 7 Multiobjective optimization of support vector regression parameters by teaching-learning-based optimization for modeling of electric discharge machining responses -- chapter 8 Modeling of grind-hardening -- chapter 9 Finite element modeling of mechanical micromachining -- chapter 10 Modeling of materials behavior in finite element analysis and simulation of machining processes: Identification techniques and challenges.
  note: Angelos P. Markopoulos, J. Paulo Davim.
  note: Includes bibliographical references.
  subject:
    topic: Machine-tools
    topic: Numerical control
  subject:
    topic: Machining
    topic: Data processing
  subject:
    topic: Machines-outils
    topic: Commande numérique
  subject:
    topic: Usinage
    topic: Informatique
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Technical & Manufacturing Industries & Trades
  subject:
    topic: Machine-tools
    topic: Numerical control
  classification: TJ1189 .M289 2017eb
  classification: 671.3/5011
  related item:
    title info:
      title: Manufacturing design & technology
  related item:
    title info:
      title: Advanced machining processes
    name:
      name part: Markopoulos, Angelos P., 1976-
    origin info:
      publisher: Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T & F Informa, plc, [2017]
    identifier: (DLC) 2017026510
    identifier: (OCoLC)1005765750
  identifier: 9781315305257
  identifier: 1315305259
  identifier: 9781315305271
  identifier: 9781315305264
  identifier: 1315305267
  identifier: 9781315305240
  identifier: 1315305240
  identifier: 1315305275
  identifier: 9781138033627
  identifier: 1138033626
  identifier: 9781315305257 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 171129
    record change date: 20241108170218.4
    record identifier: in00005525761
    language of cataloging:
      language term: eng