| Title |
Generation of disassembly plans and quality assessment based on CAD data |
| ID_Doc |
8720 |
| Authors |
Imen, B; Moncef, H; Moez, T; Nizar, A |
| Title |
Generation of disassembly plans and quality assessment based on CAD data |
| Year |
2020 |
| Published |
International Journal Of Computer Integrated Manufacturing, 33.0, 12 |
| DOI |
10.1080/0951192X.2020.1815852 |
| Abstract |
In complex machines, the generation of a Disassembly Plan (DP) which allows a minimum change of disassembly tools and directions, and permits an easy dismounting of wear parts is the main requirement to ensure an efficient design. The disassembly cost, in the maintenance case, is high, and needs to anticipate the restore tasks in the early design stages. Considering the disassembly line conditions in the DP generation makes it possible to reduce the cost and rapidity of dismantling. Taking into account all the cited parameters previously in the DP generation, from the early design phase, is a main tread in the accomplishment of the circular economy. A new disassembly approach based on the Failure Mode, Effects and Criticality (FMECA) concept allows the integration of disassembly direction and tool, easy access of wear part and disassembly line conditions. It begins by the research of subassemblies composing the mechanism. Then, it generates a variety of DPs based on the CAD data. Then, the obtained DPs are classified according to a quality index which is calculated using the FMECA method. The implementation and comparative study with the literature are detailed using an industrial mechanism containing multiple wear parts. |
| Author Keywords |
Disassembly plan; FMECA tool; disassembly plan evaluation; CAD data; quality index |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000572526400001 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Computer Science; Engineering; Operations Research & Management Science |
| PDF |
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