• DocumentCode
    36957
  • Title

    Data-Driven Robust Design for a Curing Oven

  • Author

    Xinjiang Lu ; Han-Xiong Li ; Minghui Huang

  • Author_Institution
    State Key Lab. of High Performance Complex Manuf., Central South Univ., Changsha, China
  • Volume
    4
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    1366
  • Lastpage
    1373
  • Abstract
    If no external control is employed, the cure performance will be fully dependent on the oven design. Design of such a system is challenging because of its inherent complexity: complex heat transfer, unknown relationship between design variable and curing performance, unknown boundary conditions and large parameter variation, and so on. In this paper, a novel data-based robust design approach is proposed to design a new curing oven with simple structure. First, a modeling method with hybrid singular value decomposition and response surface method is developed to extract the system model from experimental data. The coupling influence between design variable and model parameter is also separated to make the design simpler, because only the part affected by design variable will be considered in the design. A robust design method is then developed to minimize the influence of parameter variation on the performance. Finally, the effectiveness of the proposed method is demonstrated in the design of the new curing oven.
  • Keywords
    curing; heat transfer; ovens; product design; response surface methodology; singular value decomposition; curing oven; data-driven robust design; heat transfer; response surface method; singular value decomposition; Curing; Data models; Design methodology; Heat transfer; Heating; Ovens; Robustness; Design for manufacture; design methodology; semiconductor device manufacture; semiconductor device modeling; semiconductor device modeling.;
  • fLanguage
    English
  • Journal_Title
    Components, Packaging and Manufacturing Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2156-3950
  • Type

    jour

  • DOI
    10.1109/TCPMT.2014.2321131
  • Filename
    6825870