Thesis
Automatic selective disassembly time computation and product architecture redesign suggestion
Washington State University
Master of Science (MS), Washington State University
2013
Handle:
https://hdl.handle.net/2376/100228
Abstract
The goal of this research is to develop automated tools to estimate disassembly time and suggest changes in the product in order to reduce the disassembly time. Disassembly is a critical process in the end-of-life stage of a product. Disassembly is usually followed by sorting and then material recovery for recycle or part recovery for remanufacturing. Manual estimation of disassembly time based on how the components of a product are assembled is time consuming. To the best of our knowledge, no automatic disassembly time estimation method and tool currently exists. The methodology utilized to estimate disassembly time is based on metrics from assembly graph and is also based on the assumption that disassembly is inverse process of assembly. Solid Works Application Programming Interface (API) and C# is chosen as the language to demonstrate the tool and algorithms. The assembly graph consists of components as nodes and edges as relationships/mates between components. The assembly graph is extracted from Solid Works mate list of a Product. Selective disassembly is introduced as a time saving method to recovery particular components or material from a product. Material selective disassembly time estimation is based on modifying the assembly graph by merging the nodes that have same material and are neighbors (nodes with direct edges connecting one another) in the assembly graph. The merge nodes (representing group of components) can be disassembled as one group. The principle for providing guidelines to designer is based on reducing the disassembly time. These guidelines are generated by traversing the assembly mate list and finding neighbors and non-neighbor components of different material and same material, respectively. In order to achieve component selective disassembly time estimation, ray tracing is used to identify accessibility to the component. Destructive disassembly-based guidelines are provided for selectively disassembling the components that limited or no accessibility. Four case studies are presented to demonstrate the tool developed for complete disassembly, material selective disassembly and component selective disassembly time estimation.
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Details
- Title
- Automatic selective disassembly time computation and product architecture redesign suggestion
- Creators
- Yang Hu
- Contributors
- Gaurav Ameta (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525065101842
- Language
- English
- Resource Type
- Thesis