assembly feature
Recently Published Documents


TOTAL DOCUMENTS

31
(FIVE YEARS 3)

H-INDEX

4
(FIVE YEARS 0)

2018 ◽  
Vol 38 (1) ◽  
pp. 97-112 ◽  
Author(s):  
Mahmood Reza Khabbazi ◽  
Jan Wikander ◽  
Mauro Onori ◽  
Antonio Maffei

Purpose This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts’ design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and sequence planning in assembly design. Design/methodology/approach The assembly feature data requirements are studied and definitions are analyzed and redefined. Using object-oriented techniques, the assembly feature data structure and relationships are modeled based on the identified requirements as five UML packages (Part, three-dimensional (3D) models, Mating, Joint and Handling). All geometric and non-geometric design data entities endorsed with assembly design perspective are extracted or assigned from 3D models and realized through the featured entity interface class. The featured entities are then associated (used) with the mating, handling and joints features. The AssemblyFeature interface is realized through mating, handling and joint packages related to the assembly and part classes. Each package contains all relevant classes which further classify the important attributes of the main class. Findings This paper sets out to provide an explanatory approach using object-oriented techniques to model the schema of assembly features association and artifacts at the product design level, all of which are essential in several subsequent and parallel steps of the assembly planning process, as well as assembly feature entity assignments in design improvement cycle. Practical implications The practical implication based on the identified advantages can be classified in three main features: module-based design, comprehensive classification, integration. These features help the automation and solution development processes based on the proposed models much easier and systematic. Originality/value The proposed schema’s comprehensiveness and reliability are verified through comparisons with other works and the advantages are discussed in detail.


Author(s):  
Yu Wang ◽  
Shouwen Yao ◽  
Qingdong Yan ◽  
Jilin Liu ◽  
Qinghua Zhang

Generally, there is clearance between internal and external spline for the convenience of assembly. Because of the error caused by the process of production and assembly, the clearance is not consistent. This causes nonuniformity of load distribution among spline teeth, which reduce the service life of spline and influence the quality of transmission. In order to analyze these phenomenon, a contact dynamic model based on spline assembly feature is presented. Here, an information model called spline assembly feature, which contains the information of dimension, tolerance and material, is established. Based on Dimensional and Geometrical Product Specification and Verification (GPS), the deviation of minor diameter face and tooth flank is calculated, and the specification surface model is generated based on Small Displacement Theory (SDT). The contact situation of spline engagement is analyzed. With the use of collision algorithm, actual contact state is simulated and the penetration depth of contact zone is obtained. Material mechanics analysis is performed to acquire the rigidity of teeth meshing. With the work above, a multi-rigid dynamic model of spline is established based on continuous contact force theory and Hertz contact theory. Two indexes are introduced to evaluate the nonuniformity of load on spline teeth under stable condition and impact condition. Results show that the model is more accurately to predict dynamic performance.


Sign in / Sign up

Export Citation Format

Share Document