Feature-based assembly modeling and sequence generation
Computers and Industrial Engineering
A neural-network approach for an automatic LED inspection system
Expert Systems with Applications: An International Journal
Optimisation of assembly plan through a three-stage integrated approach
International Journal of Computer Applications in Technology
An information criterion for optimal neural network selection
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A Meta heuristic approach for performance assessment of production units
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Chaotic particle swarm optimization for assembly sequence planning
Robotics and Computer-Integrated Manufacturing
Nested partitions method for assembly sequences merging
Expert Systems with Applications: An International Journal
Survey on assembly sequencing: a combinatorial and geometrical perspective
Journal of Intelligent Manufacturing
Mechanical assembly planning using ant colony optimization
Computer-Aided Design
Hi-index | 12.06 |
This study develops a three-stage integrated approach with some heuristic working rules to assist the planner in generating a best and most effective assembly sequence. In the first stage, Above Graph and transforming rule are used to create a correct explosion graph of the assembly models. In the second stage, a three-level relational model, with geometric constraints and assembly precedence diagrams (APDs), is generated to create a complete relational model graph and an incidence matrix. In the third stage, the back-propagation neural network is employed to optimize the available assembly sequence. Two real-world examples are utilized to evaluate the feasibility of the proposed model in terms of the difference of assembly sequences. The results show that the proposed model can facilitate assembly sequence optimization and allows the designer to recognize the contact relationship and assembly constraints of three-dimensional (3D) components in a virtual environment type.