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Three-dimensional CAD Model Information Processing For Mechanical Structure Morphology

Posted on:2019-10-29Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhouFull Text:PDF
GTID:2382330566959744Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of science and technology,computer technology advancement and the arrival of economic globalization,a variety of three-dimensional CAD models are also produced in large numbers.How to obtain the information of mechanical three-dimensional CAD model conveniently and accurately and quickly and reuse it is the key to improve the design efficiency and shorten the product development cycle.At present,many extraction methods developed at home and abroad have certain uniqueness and subtlety,but they lack general guidelines.At the same time,mechanical product design involves multidisciplinary knowledge,many non-mechanical designers need to use machine-related knowledge when designing,they often lack the mechanical expertise and it is difficult to design reasonable machinery,but often have a general sense of design modality for machines that meet their functional design requirements.This paper proposes a three-dimensional model information processing method for the morphological characteristics of mechanical structures.By expressing the mechanical structure model in the form of a mechanical structure,only the similarity calculation of the mechanical structure shape is required,and the information processing of the original CAD model is repeatedly avoided.Non-mechanical designers can also search for similar-looking CAD models to improve the structural design of the mechanical structure to complete the product model design.(1)Briefly introduces the development status and trends of three-dimensional CAD technology,studies the knowledge of three-dimensional CAD model information extraction and knowledge representation,and based on the analysis of mechanical structure morphology and geometric expression method,explores the theoretical basis,characteristics,and construction principles of mechanical structure morphology.(2)Deeply analyzes the program development functions and features of Pro/ENGINEER secondary development kit Pro/TOOLKIT,combines the geometrical elements of the mechanical structure to study the extraction method of the base surface,sweeping wire and outline constraint line of the basic geometric solid,designs geometric solid body structure information extraction process.(3)Through the study of the characteristics of knowledge representation methods,predicates logical representation and spatial state representation to study the knowledge representation of geometric information of mechanical structure morphology,and studies the knowledge acquisition of basic geometric solid morphology based on rule inference,completes the knowledge representation of mechanical structure information.(4)The mechanical structure morphological information processing system is constructed to realize the extraction and storage of geometric information of the mechanical structure morphology,and verifies the feasibility of the three-dimensional model information processing method for mechanical structure morphology through examples,and provides basic data for modeling the mechanical structure morphology.The study of mechanical structural morphology is beneficial to solve the problems existing in the reuse of complex mechanical structures in the model,and to increase the reuse rate of mechanical structural models and the design efficiency of mechanical structures in mechanical design,the simplification of the three-dimensional model retrieval process and the satisfaction of non-mechanical designer design are of great significance,The three-dimensional model information processing method for mechanical structure morphology will provide a theoretical basis for the retrieval and reconstruction of three-dimensional models.
Keywords/Search Tags:Structure morphology, secondary development, basic geometric solid, information extraction, knowledge representation, inference rules
PDF Full Text Request
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