Please use this identifier to cite or link to this item:
Title: Generation of Optimized Robotic Assembly Sequence Using Immune Based Technique
Authors: Biswal, B B
Pattanayak, S K
Mohapatra, R N
Parida, P K
Jha, P
Issue Date: Nov-2012
Publisher: ASME
Citation: Proceedings of the ASME 2012 International Mechanical Engineering Congress & Exposition IMECE2012 , November 09-15, 2012, Houston, Texas, USA
Abstract: Automated assembly using robots is being gainfully used to enhance the process capabilities in the manufacturing world because of the fact that it is faster, more efficient, precise and cost effective process than any conventional mechanized process. However in assembly operations it is essential to determine the assembly sequence that is feasible, stable and faster so that an economical process can be evolved. Since robotic system is a cost intensive one it is necessary to find out the correct and optimal sequence with the constraints of the process in mind while dealing with assembled products with large number of parts. One of the most critical situations is to detect the best assembly sequence for products having large number of different alternative solutions. In this paper, a new methodology has been developed to find out the best robotic assembly sequence among the feasible robotic sequences. The feasible robotic assembly sequences have been generated based on the assembly constraints and later, the Artificial Immune System (AIS) has been implemented to find out the best assembly sequence.
Description: Copyright for this proceeding belongs to ASME
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
ASME_IMECE2012-87374.pdf225.94 kBAdobe PDFView/Open    Request a copy

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.