scholarly journals Near Optimal Disassembly Sequence Generation for Large Equipment in Nuclear Plant

2019 ◽  
Vol 26 (2) ◽  
pp. 111-118
Author(s):  
Atsuko ENOMOTO ◽  
Hiroshi SEKI ◽  
Takuya YOSHIDA ◽  
Junya TAHATA ◽  
Mitsutaka IMAMURA ◽  
...  
Sadhana ◽  
2021 ◽  
Vol 46 (1) ◽  
Author(s):  
Bala Murali Gunji ◽  
Sai Krishna Pabba ◽  
Inder Raj Singh Rajaram ◽  
Paul Satwik Sorakayala ◽  
Arnav Dubey ◽  
...  

2002 ◽  
Vol 40 (13) ◽  
pp. 3183-3198 ◽  
Author(s):  
Rahul Rai ◽  
Varun Rai ◽  
M. K. Tiwari ◽  
Venkat Allada

2007 ◽  
Vol 45 (18-19) ◽  
pp. 4537-4554 ◽  
Author(s):  
Yoshiaki Shimizu ◽  
Kyohei Tsuji ◽  
Masayuki Nomura

2000 ◽  
Vol 19 (2) ◽  
pp. 73-82 ◽  
Author(s):  
Hsin-Hao (Tom) Huang ◽  
Michael H. Wang ◽  
Michael R. Johnson

Author(s):  
Louisa Issaoui ◽  
Nizar Aifaoui ◽  
Abdelmajid Benamara

Disassembly sequencing is a concurrent research subject in design for life-cycle. Many past and recent researches are made to give practical methods for disassembly sequencing. The problem of assembly information’s modeling is one of the important sub-problems of disassembly simulation. The problem includes connection determination, disassembly direction identification, and part mobility state definition. In the present paper, the authors propose a new representation model of disassembly directions, starting from geometric and assembly data of computer aid design models. This model is based on a mobility matrix definition for every part. This matrix is also called disassembly direction matrix. The model gives information about the mobility state of a part during disassembly sequencing by updating its mobility matrix. Mobility state data are used in a practical computing of disassembly sequence feasibility. In this paper, theoretical explication of this modeling is given and validated by computational results. In the validation section, the model is applied to a computer aid design mechanism using a selective disassembly.


2009 ◽  
Vol 419-420 ◽  
pp. 69-72
Author(s):  
Wei Lin Wang ◽  
Jia Tai Zhang

Optional disassembly could fulfill the process that parts remove from assembly, which is useful for product maintain, discarding and recycle. Total disassembly planning algorithm can be obtained through proper analysis and evaluation, however that is a difficult process. It is hard to obtain optimal solutions when a huge number of parts are to be removed from an assembly. Exponential explosion during the process of disassembly sequence generation has become a bottleneck for a long time due to over large number of parts included in the product. To solve this problem, an approach based on the modulization is proposed in the paper to generate the disassembly sequence. To partition modules of manufacture equipments, the module identifying method based on multi-rule decision can effectively solve the explosive problem. This method deals with the restrictions and limits of parts before disassembly, hence making disassembly more like the situation of the fact which is limiting the quantity of disassembly combinations, enhancing the efficiency of disassembly and making disassembly much easier.


2018 ◽  
Vol 17 (03) ◽  
pp. 353-373 ◽  
Author(s):  
B. B. V. L. Deepak ◽  
G. Bala Murali ◽  
Sandeep Kumar Pandey

Supply chains have been more serious for environmental issues for not only the reduction of CO2 emission but also for material starvation. To enhance a closed loop supply chain for assembled product, a disassembly system is required. At end-of-life, the assembly products at recycling organization should be disassembled environmentally and economically for not only low carbonization but also of material circulation. This recycling and reusing of product enables to reduce CO2 release because the virgin materials which release CO2 volumes caused by production and logistics can be saved by the usage of the recovered materials. Parts with higher recycling and CO2 saving rates ought to be chosen and physically disassembled, but the manual disassembly brings a higher cost, rather than discarding the parts. Therefore, material recovery value is also to be considered for parts selection during the assembly operation. Parts information like material recovery value, CO2 release, weight, precedence relationships are required for environmental and economic parts selection. This study proposes a CAD based approach for environmental and economic parts selection for disassembly using solid works sustainability. It considers higher CO2 saving rate, higher recycling rate and higher material recovery value as environmental and economic criteria for parts selection.


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