Loading

Representation of Information about Part on The Basis of Its Engineering Features
Elena Ivanovna Egorova

Elena Ivanovna Egorova, Kazan National Research Technical University named after A. N. Tupolev, KAI, Kazan, Russia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 4084-4089 | Volume-8 Issue-12, October 2019. | Retrieval Number: L36381081219/2019©BEIESP | DOI: 10.35940/ijitee.L3638.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Design stage of production processes for machining of parts is a nontrivial task, and technologists face considerable difficulties while selecting the best solution. Aiming at better selection of alternatives, it is important to apply intelligent systems to design production processes. Ontological model of information representation about production process is described using attribute graphs, which allows analyzing the form and spatial relationships between the structural elements of objects, and reduces the scope of interpretation of concepts and the number of interpretive functions.
Keywords: Ontological Model, Production Process, Attribute Graphs, Intelligent System for Designing Production Processes, Engineering Solution, Optimum Engineering Solution.
Scope of the Article: Production Engineering