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: Down miling trimming process optimization for carbon fibre reinforced plastic (CFRP)
  name:
    name part: Jailani Ismail
    role:
      role term: creator
    role:
      role term: author
  name:
    name part: Universiti Sultan Zainal Abidin
    name part: Faculty of Innovative Design and Technology
  type of resource: text
  genre: Dissertations, Academic
  origin info:
    place:
      place term: my
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xvii, 103 leaves : some colour illustrations ; 30 cm.
  abstract: Two different materials subjected to machining can behave differently when cutting them with the same tool, at the same cutting speed and feed rates, using the same machine, and working under similar condition. Some may produce long curly chips (like mild steel); some may produce short chips (like cast iron); some may get a smooth finish; some may end up with a rough urface; some may produce chatter and some may produce lots of heat and quickly blunt the tool. The use of advanced materials which are commonly composed of carbon fibre, polimers and metal has increased due to their special mechanical and physical properties such as in the aeronautical, aerospace, automotive, biomechanical, mechanical and other industrie . As a re ult of the e properties and potential applications, there exists an urgent need to understand questions associated with the machinability of these materials. Obviously, for Carbon Fibre Reinforced Plastic with Aluminum grade 2024 (CFRP/AI2024) composites material, integrating into one single machining operation has proved to be more challenging due to the anisotropic and non-homogeneou tructure ofCFRP and ductile nature of Aluminum. This introduces several types of damage like matrix cracking and thermal alterations, fiber pullout and fuzzing during drilling and trimming which affect the quality f machined surface. Many of these problems occured due to inappropriate use ofvari u cutting tool designs materials and cutting parameters. The research project aims to study and model machined surface quality of CFRP/AI2024 using Two Level Full Factorial Design experiment. This research project has three objective. First, to perform the trimming process using down milling. Second, to statistically and graphically analyze the influence and interaction of cutting parameters. Third, to optimize cutting parameters in order to get the surface texture quality ofCFRP/AI2024 to les than 111m. The trimming process was carried out via down milling on a stack of…
  note: Jailani Ismail
  note: Thesis (Degree of Master of Science) - Universiti Sultan Zainal Abidin, 2016
  note: Includes bibliographical references (pages 89-96)
  subject:
    name:
      name part: Universiti Sultan Zainal Abidin
    topic: Dissertations
  subject:
    name:
      name part: Universiti Sultan Zainal Abidin
    topic: Faculty of Innovative Design and Technology
    genre: Dissertations
  subject:
    topic: Composite materials
  classification: TA418.9.C6 J35 2016
  record info:
    record content source: UniSZA
    record creation date: 170821
    record change date: 20220216093000.0
    record identifier: 0000093683