Research Papers

Modeling and Validation of a Web Ontology Language Based Disassembly Planning Information Model

[+] Author and Article Information
Bicheng Zhu

Department of Mechanical Engineering,
Syracuse University,
900 South Crouse Ave.,
Syracuse, NY 13244
e-mail: bizhu@syr.edu

Utpal Roy

Department of Mechanical Engineering,
Syracuse University,
900 South Crouse Ave.,
Syracuse, NY 13244
e-mail: uroy@syr.edu

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received September 23, 2017; final manuscript received March 25, 2018; published online April 30, 2018. Editor: Satyandra K. Gupta.

J. Comput. Inf. Sci. Eng 18(2), 021015 (Apr 30, 2018) (11 pages) Paper No: JCISE-17-1194; doi: 10.1115/1.4039849 History: Received September 23, 2017; Revised March 25, 2018

Disassembly, a process of separating the end of life (EOL) product into discrete components for re-utilizing their associated residual values, is an important enabler for the sustainable manufacturing. This work focuses on the modeling of the disassembly planning related information and develops a disassembly information model (DIM) based on an extensive investigation of various informational aspects in the domain of disassembly planning. The developed DIM, which represents an appropriate systematization and classification of the products, processes, uncertainties, and degradations related information, follows a layered modeling methodology in which DIM is subdivided into layers with the intent to separate general knowledge into different levels of abstractions and reach a balance between information reusability and information usability. Two prototype disassembly planning related applications have been incorporated to validate the usability and reusability of the developed DIM.

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Fig. 1

The overall structure of DIM

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Fig. 2

Product information model for the disassembly planning

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Fig. 3

Comparisons between the graph model and the product model

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Fig. 4

The overall structure of the process model

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Fig. 5

AND/OR graph of a product

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Fig. 6

Comparison between the process model and the N-ary relation model

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Fig. 7

The structure of the uncertainty model

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Fig. 8

Product topological configuration

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Fig. 9

Product geometrical configuration: (a) example 1 and (b) example 2

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Fig. 10

Disassembly sequence generator information model

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Fig. 11

Examples of the Contactloop concept

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Fig. 12

An example of the ContactLoopCluster concept

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Fig. 13

Disassembly sequence generator application

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Fig. 14

Disassembly sequence generation process

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Fig. 15

An illustrative example




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