Representation, Generation, and Analysis of Mechanical Assembly Sequences With k-ary OperationsSource: Journal of Computing and Information Science in Engineering:;2012:;volume( 012 ):;issue: 001::page 11001DOI: 10.1115/1.3617441Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A new methodology is presented to generate all of the assembly sequences for a production system configured as a N-station assembly line with kn (n = 1, 2,…, N) parts or subassemblies to be assembled at stations 1, 2,…, N, respectively. This expands current approaches in sequence generation applicable for binary assembly process to a k-ary assembly process by including: (i) nonbinary state between two parts, i.e., multiple joints between two parts or subassemblies, is taken into consideration, and (ii) simultaneous assembly of Y (Y≥3) parts or subassemblies. The methodology is based upon proposed k-piece graph and k-piece mixed graph approaches for the assemblies without and with assembly precedence relationship, respectively. Compared with the currently used liaisons graph (or datum flow chain) representation which shows part-to-part assembly relations, the k-piece graph (or k-piece mixed graph) shows all of the feasible subassemblies and their constituent parts and joints (pairs of mating features). Based upon the k-piece graph or k-piece mixed-graph approach, all of the feasible subassemblies for a predetermined assembly line configuration are identified, and all of the sequences for a k-ary assembly process are generated. Case studies are presented to illustrate the advantages of the presented methodology over the state-of-the-art research in assembly sequence generation.
keyword(s): Manufacturing ,
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contributor author | Haixia Wang | |
contributor author | Dariusz Ceglarek | |
date accessioned | 2017-05-09T00:48:57Z | |
date available | 2017-05-09T00:48:57Z | |
date copyright | March, 2012 | |
date issued | 2012 | |
identifier issn | 1530-9827 | |
identifier other | JCISB6-26040#011001_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/148414 | |
description abstract | A new methodology is presented to generate all of the assembly sequences for a production system configured as a N-station assembly line with kn (n = 1, 2,…, N) parts or subassemblies to be assembled at stations 1, 2,…, N, respectively. This expands current approaches in sequence generation applicable for binary assembly process to a k-ary assembly process by including: (i) nonbinary state between two parts, i.e., multiple joints between two parts or subassemblies, is taken into consideration, and (ii) simultaneous assembly of Y (Y≥3) parts or subassemblies. The methodology is based upon proposed k-piece graph and k-piece mixed graph approaches for the assemblies without and with assembly precedence relationship, respectively. Compared with the currently used liaisons graph (or datum flow chain) representation which shows part-to-part assembly relations, the k-piece graph (or k-piece mixed graph) shows all of the feasible subassemblies and their constituent parts and joints (pairs of mating features). Based upon the k-piece graph or k-piece mixed-graph approach, all of the feasible subassemblies for a predetermined assembly line configuration are identified, and all of the sequences for a k-ary assembly process are generated. Case studies are presented to illustrate the advantages of the presented methodology over the state-of-the-art research in assembly sequence generation. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Representation, Generation, and Analysis of Mechanical Assembly Sequences With k-ary Operations | |
type | Journal Paper | |
journal volume | 12 | |
journal issue | 1 | |
journal title | Journal of Computing and Information Science in Engineering | |
identifier doi | 10.1115/1.3617441 | |
journal fristpage | 11001 | |
identifier eissn | 1530-9827 | |
keywords | Manufacturing | |
tree | Journal of Computing and Information Science in Engineering:;2012:;volume( 012 ):;issue: 001 | |
contenttype | Fulltext |