Predictive design analysis utilizing ansys in an internet environment

Research output: Contribution to conferencePaper, not in proceeding


During recent years the increasing power of computers and communications has led to the development and use of more advanced analysis techniques. Design of Experiment (DOE) has been used together with Finite Element (FE) analysis software such as ANSYS, see e.g. Johnson and Heald (1998) and Eriksson et al. (1998). Predictive Design Analysis (PDA) is an mechanical engineering design, or design for short, approach in which the final behavior of a product is predicted, at least to some extent, by combining information from different analysis techniques, see Eriksson and Burman (1999). This work presents an implementation of PDA consisting of DOE together with ANSYS.
The implementation is developed as a World Wide Web (WWW) Client/Server application. The user interface is constructed as a standard HTML page that can be viewed in a standard web. Java scripts and Java Applets are used to verify the data given by the designers or analysts before it is sent to a Common Gateway Interface (CGI) application on the server for evaluation. The result delivered from the CGI application is VRML files of selected responses along with GIF images and data based on the statistical evaluation of the studied responses.
The issue of decreasing the computation time is addressed in this work by running the FE analyses in parallel. The fact that all analyses based on DOE are performed independently of each other makes them well suited for distributed processing, for example on a cluster of computers connected through a network. Studies of the implementation regarding the timesaving of distributed computations are performed and documented. This application serves as a powerful tool for the designer or analyst at all levels of abstraction in the design process, when examining the influence of different design variables on the product studied.


  • Martin Eriksson
  • Åke Burman
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Production Engineering, Human Work Science and Ergonomics


  • Finite Element Analysis, Client/Server, Design Of Experiment, Statistics, Distributed Computing, DOE, WWW, FEA, Parallel processing, Internet/intranet
Original languageEnglish
Number of pages10
Publication statusPublished - 2000
Publication categoryResearch
EventANSYS 2000 Technical Conference - Pittsburg
Duration: 2000 Aug 28 → …


ConferenceANSYS 2000 Technical Conference
Period2000/08/28 → …

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