A methodology to develop ontology of additive manufacturing using formal attributes specification template (FAST)

Mohd Hashim, Syazwani (2015) A methodology to develop ontology of additive manufacturing using formal attributes specification template (FAST). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Additive Manufacturing offers design creativity and freedom in product developing process. As a result, large number of design information is generated and accumulated. This resulting a time consuming for designer in searching the right information. In this project the additive manufacturing processes have been classified according to their attributes and an ontology of additive manufacturing is developed. Ontology allows the designers to obtain knowledge from previous method to be shared and reused for future references. The key point in developing the AM ontology is the combination of Formal Concept Analysis (FCA) and attribute that is obtained using a systematic guidelines called Formal Attributes and Specification Template (FAST). The attributes are characterized in terms of its mereological and topological structure and its involvement with one or more processes. FAST express the formal attributes in terms of: (1) inputs (a.k.a objects that are always changed by the process); (2) outputs (a.k.a objects that are always produced by the process); (3) participating physical objects (including locations, agents, and performer) other than inputs and outputs; (4) sub-activities (a.k.a sub-activities that compose the process). FCA is a method based on applied lattice and order theory, is selected as the taxonomy generator (class hierarchy).The developed class hierarchy was evaluated by homogeneous cluster analysis. The results of evaluation show that FAST method allow the finding of similarities between classes.

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