Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Process Optimisation of Injection Moulding using Computer Simulation

Process Optimisation of Injection Moulding using Computer Simulation

Lin, Kyaw

Paperback

Technology & Engineering

ISBN10: 3640445554
ISBN13: 9783640445554
Publisher: Grin Verlag
Published: Oct 17 2009
Pages: 44
Weight: 0.15
Height: 0.11 Width: 5.83 Depth: 8.27
Language: English
Research Paper (postgraduate) from the year 2008 in the subject Engineering - Mechanical Engineering, University of South Australia, language: English, abstract: Determining optimal values of process control factors is critical in injection moulding process because of their influences on product quality, productivity and cost of production. In the past, many researchers exploited traditional and artificial methods but the limitations of different methods prevented to achieve optimal level of process design variables for multiple-input multiple-output (MIMO) injection moulding process. To bridge the gap, this study aims to develop a computer integrated optimisation system (CIOS). In this research, virtual reality (VR) technology is employed, in the first phase, for simulation purpose and combination of design of experiments (DOE) and SAPSO-based ANN method is used for optimising the simulation results in order to achieve global optimal solution for the control parameters. Apparently, the proposed approach is a new integration system that can help the users determine optimal parameter settings to accomplish the MIMO injection moulding process with competitive benefits of cost and production efficiency.

Also in

Technology & Engineering

View All