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Mechanical Assembly Packing Problem Using Joint Constraints

Mechanical Assembly Packing Problem Using Joint Constraints
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摘要 The three-dimensional packing problem is generally on how to pack a set of models into a given bounding box using the smallest packaging volume. It is known as an NP-hard problem. When discussing the packing problem in mechanical field, the space utilization of a mechanism is low due to the constraint of mechanical joints between different mechanical parts. Although such a situation can be improved by breaking the mechanism into components at every joint, it burdens the user when reassembling the mechanism and may also reduce the service life of mechanical parts. In this paper, we propose a novel mechanism packing algorithm that deliberately considers the DOFs (degrees of freedom) of mechanical joints. With this algorithm, we construct the solution space according to each joint. While building the search tree of the splitting scheme, we do not break the joint, but move the joint. Therefore, the algorithm proposed in this paper just requires the minimal number of splits to meet the goal of space utilization. Numerical examples show that the proposed method is convenient and efficient to pack three-dimensional models into a given bounding box with high space utilization. The three-dimensional packing problem is generally on how to pack a set of models into a given bounding box using the smallest packaging volume. It is known as an NP-hard problem. When discussing the packing problem in mechanical field, the space utilization of a mechanism is low due to the constraint of mechanical joints between different mechanical parts. Although such a situation can be improved by breaking the mechanism into components at every joint, it burdens the user when reassembling the mechanism and may also reduce the service life of mechanical parts. In this paper, we propose a novel mechanism packing algorithm that deliberately considers the DOFs (degrees of freedom) of mechanical joints. With this algorithm, we construct the solution space according to each joint. While building the search tree of the splitting scheme, we do not break the joint, but move the joint. Therefore, the algorithm proposed in this paper just requires the minimal number of splits to meet the goal of space utilization. Numerical examples show that the proposed method is convenient and efficient to pack three-dimensional models into a given bounding box with high space utilization.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2017年第6期1162-1171,共10页 计算机科学技术学报(英文版)
基金 The work was supported by the National Key Research and Development Program of China under Grant No. 2017YFC0804401, the National Natural Science Foundation of China under Grant Nos. 61472370, 61672469, 61379079, 61322204, and 61502433, the Natural Science Foundation of Henan Province of China under Grant No. 162300410262, and the Key Research Projects of Henan Higher Education Institutions of China under Grant No. 18A413002.
关键词 NP-hard problem packing problem search tree NP-hard problem packing problem search tree
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