Abstract
The study addressed the problem of selecting the appropriate microassembly
techniques according to the micro-part features. Actually, in the micro-domain, the choice of
the correct assembly technique is highly dependent on the micro-part characteristics such as shape,
geometry and material. Approach: Since there was an incomplete and unstructured knowledge about
the micro-assembly, the study proposed a Decision Support System (DSS) as solution for assisting the
designer in the correct selection of the most suitable micro-assembly strategies. The first step was
establishing a structured correlation between micro-assembly techniques and part features. In particular
the phases grasping and releasing were adopted as test-study for their importance in the microassembly
process. The second step was the set up of a multistage model for the selection of the
grasping-releasing technique and the implementation of the model in an Expert System as a set of
rules. Results: The DSS was tested on some common micro-parts producing a scored list of selected
grasping-releasing methods. Conclusion: The DSS proved quite valuable in the selection and the
scoring of the micro-assembly principles that suit specific applications.
Original language | English |
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Pages (from-to) | 718-722 |
Number of pages | 5 |
Journal | American Journal of Engineering and Applied Sciences |
Volume | 3 |
Issue number | 4 |
Publication status | Published - 2010 |
Bibliographical note
Neo (niet eerder opgevoerd)Keywords
- academic journal papers
- Vakpubl., Overig wet. > 3 pag