Master of Science (MS), Ohio University, 2014, Industrial and Systems Engineering (Engineering and Technology)

Product designers produce the design of the product to satisfy the product specifications by applying their own design intent. Due to the lack of semantic capability of the modern Computer aided Design (CAD) applications and standard formats (STEP) to store design data, the design intent of the designer is lost and only geometrical information remain in the design data (non-semantics aware design). Unavailability of the design purpose or the significance of the design in the design data makes It hard to integrate manufacturing design data with other applications of Computer Integrated Manufacturing (CIM). For this reason, it is important to interpret functional properties of design data. In this thesis, a structural analysis process is developed, which uses a novel algorithm from computational geometry to extract Degrees of Freedoms of each part in an assembly. These information is used to recognize translational properties of the parts. Along with it, functional design of a conceptual system, called SIDOS, is presented, which compares the expected behaviors, derived from the functional behaviors, which are in turn extracted from a non-semantics aware design, with the expected behaviors of a semantics-aware template design from the same product family to identify similar components between them and annotates the components of the non-semantics aware design with the matching semantics from the template design.

Committee: David Koonce (Advisor); Dusan Sormaz (Committee Member); Robert Judd (Committee Member); Gursel Suer (Committee Member); Vic Matta (Committee Member) Subjects: Industrial Engineering