Neural dynamic assembly sequence planning

Author(s):  
Kristof Kitz ◽  
Ulrike Thomas
Author(s):  
Pongsak Dulyapraphant ◽  
Tulga Ozsoy

Abstract Because of their intuitive interface, mating conditions have been prevalently used in assembly modelling. Besides their use for modelling purposes, other type of information, such as spatial relationships between parts and local degrees of freedom, can be directly derived from mating conditions. This information in turn can be used in various engineering analysis applications, such as kinematics analysis or automatic tolerance chain generation for tolerance analysis. In this paper, application of mating conditions in an assembly sequence-planning task is investigated. The proposed approach mainly engages the mating information represented in the CAD assembly model to automatically generate sequence plans based on the minimization of the number of assembly directions.


Author(s):  
G. Bala Murali ◽  
Pradip Kumar Sahu ◽  
B.B.V.L. Deepak ◽  
B.B. Biswal

2011 ◽  
Vol 411 ◽  
pp. 388-392 ◽  
Author(s):  
Yun Long Li ◽  
Jian Min Gao ◽  
Lei Shi ◽  
Song Wang

In order to improve the efficiency of assembly modeling and provide a complete assembly model for assembly sequence planning (ASP), a method of assembly modeling based on polychromatic sets (PS) is proposed. Firstly, the assembly information of 3D Component is obtained by API function in SolidWorks. In addition, assembly incident matrix, information matrix and mapping matrix are built. On the basis of these matrixes, a method of location modeling is explored. The interference relation matrix is developed by judging the spatial location and analyzing dynamic interference relation among parts. Finally, a case study is given to verify the method.


2018 ◽  
Author(s):  
M. A. Abdullah ◽  
M. F. F. Ab Rashid ◽  
Z. Ghazalli ◽  
N. M. Z. Nik Mohamed ◽  
A. N. Mohd Rose

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