ONTOLOGY-BASED FRAMEWORK TO SUPPORT VARIANT DESIGN OF ROTATIONAL CONNECTION

Abstract

An ontology is a clear formal conceptualization of a specific area of interest. Ontologies are being used in an increasing number of domains, such as knowledge management, information extraction, and the semantic web. The task of evaluating an ontology from the perspective of a certain application criterion is known as ontology evaluation. This is usually done to ascertain which of multiple ontologies would be most appropriate for a given scenario. An overview of the state of the art in ontology evaluation is given in this study. The process of modifying current design demands to meet new limitations and goals is known as "variant design." To achieve an instantly responsive manufacturing environment, it would be beneficial if present computer aided design systems specifically supported variant design methodologies. Members of the marketing, design, and manufacturing teams concurrently generate the needs from three different elements, in contrast to the usual cascade deployment. The deployment results-driven charts yield very feasible design concepts by allowing queries based on a product's function, specification, and module. Preparing drawings takes longer than actually addressing problems when creating technical documentation for rolling rotational connectors. Adaptive or variant design techniques are used for the majority of element development. The time required may be reduced with computer support. It is important for the designer to keep the big picture of the issue in mind. A high degree of creativity, the capacity to modify form, technology, and rules within broad bounds, high reliability, and continuous control over the design process are all things that an effective CAD system should offer the designer. In order to create rotating connections and workshop documentation, a CAD system that is considered "intelligent" is studied in this study along with the potential design process approaches that might be employed. When a material adopts a shape that was developed by humans and is determined by the material's performance, its performance changes. In this work, we present Suh's design axioms (SDA), Multiple Attribute Utility Theory (MAUT), and Analytical Hierarchy Process (AHP) in order to study Hazelrigg's decision-based design (DBD) framework and its simultaneous material and geometric variable selection. In this case study, the spur gear reduction unit consists of two stages, and the design space is discrete. SDA is not an acronym in the traditional sense. It is reduced to SDA for the purpose of the illustration and to make it consistent with other abbreviations. In SDA, functional requirements are converted from client requirements to produce alternatives that adhere to geometric restrictions.