• DocumentCode
    1508692
  • Title

    Energy Modeling of Machine Tools for Optimization of Machine Setups

  • Author

    Bi, Z.M. ; Lihui Wang

  • Author_Institution
    Indiana Univ. Purdue Univ. Fort Wayne, Fort Wayne, IN, USA
  • Volume
    9
  • Issue
    3
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    607
  • Lastpage
    613
  • Abstract
    In this paper, a new energy model is developed based on the kinematic and dynamic behaviors of a chosen machine tool. One significant benefit of the developed energy model is their inherited relationship to the design variables involved in the manufacturing processes. Without radical changes of the machine tool´s structure, the proposed model can be readily applied to optimize process parameters to reduce energy consumption. A new parallel kinematic machine Exechon is used as a case study to demonstrate the modeling procedure. The derived energy model is then used for simulation of drilling operations on aircraft components to verify its feasibility. Simulation results indicate that the developed energy model has led to an optimized machine setup which only consumes less than one-third of the energy of an average machine setup over the workspace. This approach can be extended and applied to other machines to establish their energy models for green and sustainable manufacturing.
  • Keywords
    aerospace components; design for environment; design for manufacture; drilling; energy consumption; machine tools; optimisation; sustainable development; Exechon machine; aircraft component; design variable; drilling operation; energy consumption; energy modeling; green manufacturing; machine setup optimization; machine tool; machine tool dynamic behavior; machine tool kinematic behavior; manufacturing processes; process parameter; sustainable manufacturing; Drilling machines; Energy consumption; Green design; Machining; Optimization; Power demand; Dynamics; energy modeling; green manufacturing; kinematics; metrics; optimization; parallel kinematic machine;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2012.2195173
  • Filename
    6194975