Mechanical Product Disassembly Sequence and Path Planning Based on Knowledge and Geometric Reasoning

2002 ◽  
Vol 19 (9) ◽  
pp. 688-696 ◽  
Author(s):  
D. Hu ◽  
Y. Hu ◽  
C. Li
2015 ◽  
Vol 813-814 ◽  
pp. 1165-1169
Author(s):  
B. Josephin Sajo ◽  
J. Jayaprakash

Disassembly sequence planning not only reduces product life cycle cost, but also greatly influences environmental impact. Industrial recycling and remanufacturing involves product disassembly to retrieve the desired parts and/or subassemblies by separating a product into its constituents. Disassembly has recently gained a great deal of attention in the literature due to its role in product recovery. Disassembly sequencing and planning is more challenging than assembly because its terminal goal is not necessarily fixed, but may depend on product usage and market demands for used parts and recycled materials. Moreover, disassembly is accompanied by more uncertainty in system structures and component conditions than is assembly. This paper presents recent methods for sequencing and process planning in disassembly and the applications to industrial products. This research is aimed at determining the optimal disassembly sequence as well as the helps to find the sequence dependent cost.


2013 ◽  
Vol 572 ◽  
pp. 340-343 ◽  
Author(s):  
Wei Lin Wang ◽  
Xian Jie Shi

Disassembly of scrap product is a necessary procedure of products recycling and reusing, which is an important part of whole life cycle of the products. Scrap product disassembly process planning can reduce the cost of disassembly operation. It can also improve operation efficiency and the enterprise competitiveness. A new improved algorithm is developed based on the basic ant colony algorithm, which is poisoning ant colony algorithm. Poisoning ant colony algorithm is applied to realize the search and optimization for feasible disassembly sequence solution set with disassembly root diagram. Finally, the optimal sequence is obtained based on evaluation objective function. Toxic environment and life value are also introduced to this algorithm. The characteristics of the algorithm are preferable search and convergence property.


2013 ◽  
Vol 291-294 ◽  
pp. 2789-2793
Author(s):  
Jun Fang Xue ◽  
Ying Li Zhang ◽  
Xin Jian Zhang

In order to assess product’s disassembly sequences simply and effectively, we present the objective adaptive entropy way, which judge information according to the difference of the evaluation indexes, and get the importance of each evaluation index in the comprehensive assessment of the project (i.e. weight of indexes). So we in turn get the comprehensive evaluation method which is based on the product disassembly sequences of information entropy .This method offers the optimal result and provides the objective weight of each index. So that the designers can improve the relative devises and plan the resource of disassembly. Thereby we can get the best disassembly sequences. At last, taking the example of the 9 kinds of optimal disassembly sequence of a certain type air-condition’s outdoor, we can verify the availability of this method.


Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 663
Author(s):  
Cheng Zhang ◽  
Amir Mohammad Fathollahi-Fard ◽  
Jianyong Li ◽  
Guangdong Tian ◽  
Tongzhu Zhang

Product disassembly and recycling are important issues in green design. Disassembly sequence planning (DSP) is an important problem in the product disassembly process. The core idea is to generate the best or approximately optimal disassembly sequence to reduce disassembly costs and time. According to the characteristics of the DSP problem, a new algorithm to solve the DSP problem is proposed. Firstly, a disassembly hybrid graph is introduced, and a disassembly constraint matrix is established. Secondly, the disassembling time, replacement frequency of disassembly tool and replacement frequency of disassembly direction are taken as evaluation criteria to establish the product fitness function. Then, an improved social engineering optimizer (SEO) method is proposed. In order to enable the algorithm to solve the problem of disassembly sequence planning, a swap operator and swap sequence are introduced, and steps of the social engineering optimizer are redefined. Finally, taking a worm reducer as an example, the proposed algorithm is used to generate the disassembly sequence, and the influence of the parameters on the optimization results is analyzed. Compared with several heuristic intelligent optimization methods, the effectiveness of the proposed method is verified.


Author(s):  
Zahed Siddique ◽  
David W. Rosen

Abstract An important aspect of Design for the Life Cycle is assessing the disassemblability of products. A product designed for disassembly can be quickly and easily broken down so its components can be recycled or refurbished. The use of virtual prototyping is proposed to aid the assessment of product disassembly by enabling the designer to virtually disassemble the product. A virtual prototype is a model of a product and a process that the product undergoes. Virtual prototyping is defined as the generation of a virtual prototype and its simulation or assessment. Factors involved in generating product disassembly processes include: determining the disassembly sequence of a product, the disassembly paths of components, tool change sequences, etc. In recent years, disassembly processes have been generated either by using interactive or automated approaches, but these have limitations. However, by combining the two approaches, disassembly processes of complex assemblies can be generated without extensive user input. This type of interaction can be facilitated by using virtual prototyping. The purpose of this paper is to illustrate the development of a virtual environment that will support the generation of virtual prototypes for evaluating product disassembly. Issues involved in transformation of CAD models to virtual prototypes for disassembly are also discussed. Application to an automotive center console is illustrated.


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