基于联动机制理论自动化组合夹具规划 毕业论文外文文献翻译.doc
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1、Automated modular fixture planning based onlinkage mechanism theory1. IntroductionModular fixture is a kind of very promising flexible fixture devices in manufacturing. It is also used in assembly and verification processes. The use of modular fixture seems to be a trend in the manufacturing field a
2、s it can meet the desire for greater flexibility (i.e. it is able to deal with the workpieces with irregular shapes by combining modular fixture elements). By using modular fixtures, the flexibility and rapid response capability of manufacturing systems can be improved.However, modular fixture plann
3、ing is a very difficult problem, especially for the modular fixture with the dowel-pin system as the locators of such modular fixtures can only be inserted into the fixed doweled holes. That is why modular fixture planning is still performed by fixture designers in industries up to now, relying on d
4、esigners experiences and trial and error method. The main problem with manual planning of modular fixtures lies in that it is almost impossible for a designer to enumerate all the alternative fixture plans, which makes it extremely hard to find out the optimal fixture plan. Obviously it hinders the
5、use of modular fixtures with dowel-pin system in industries. One way to solve the above problems is to use computer to assist designers in performing modular fixture planning. In recent years, the research on automated modular fixture planning has been paid more and more attention, and several appro
6、aches have been proposed in this area. Asada and By 1 described the basic concept of an adaptable fixturing system and its hardware implementation. The analytic tool of the fixture was developed, including that of accessibility and detachability. The key components of this system are fixture base ta
7、ble with magnetic chucking capability. Such a system is adaptable for flexible assembly and the product with small batch size. Brost and Goldberg 2 and Brost and Peters 3 presented a “complete” algorithm for synthesizing modular fixtures for a polygonal workpiece. The basic assumptions of their meth
8、od are that a workpiece can be represented with simple polygons; locators can be represented by a circle whose radius is less than half of the grid spacing; the fixturing configurations are infinite and all contacts are frictionless. The output of the algorithm includes the positions of three locato
9、rs and the clamp point, as well as the linear displacement and rotational angle of the workpiece relative to the base plate. Their method for finding out the three locators of a given workpiece is based on the enumerative algorithm. Zhuang et al. 4 explored the existence of modular fixture solutions
10、 for a given fixture configuration model and a workpiece, and presented a class of polygons which cannot be fixed by modular fixtures with dowel-pin system. Wallack and Canny 5 developed an automated design algorithm for a fixturing toolkit called the fixture vise, which involves two fixture plates
11、mounted on jaws of a vise and modular fixture elements. They also proposed an output-sensitive algorithm. The algorithm first enumerates all the quartets of the jaw-specified edge segments capable of providing force closure, then for each edge quartet enumerates all the quartets of fixture positions
12、, verifies force closure, and generates all the configurations of a modular fixturing toolkit capable of immobilizing a given prismatic object. Penev and Requicha 6 studied the fixture fool proofing for polygonal workpieces and presented an algorithm for calculating the positions of fool proofing pi
13、ns that make the incorrect loading pose impossible. Overmars et al. 7 introduced a point/edge fixture paradigm wherein objects are immobilizing by a combination of one edge and twopoint contacts. Wagner et al. 8 studied the method of fixturing 3D faceted parts with seven modular struts. Wu et al. 9,
14、10 presented a systematic method for analyzing the geometry, accuracy, clamping and accessibility of a modular fixture. In their method, three locator-workpiece contact situations are determined according to the types of locating faces and the types of contacting faces of locators, and the assembly
15、relationships between locators and the workpiece are described by three triangle function equations. By solving the three equations, the position of the workpiece related to the fixture and the positions of three locators are obtained. Based on the degree-of-freedom analysis of 2-D objects, a step-b
16、y-step algorithm is developed to find out the possible clamp positions by enumerating all the possible clamping edges. Their method is feasible and systematic, but it is complicated and its computation efficiency needs to be further improved.The investigation on optimization algorithms of fixture de
17、sign is also related to this work. In this aspect, King and Hutter 11 presented a method for optimal fixture layout design, which uses the rigid body model of a fixtureworkpiece system but accounts for the contact stiffness. DeMeter 12,13 used a rigid body fixtureworkpiece model and the minmax load
18、criterion to achieve the synthesis of the optimal fixture layout and minimum clamp actuation intensity, and presented a finite element-based method of supporting layout optimization. However, these nonlinear programming methods can neither achieve “global” or “near-global” optimum solutions nor dete
19、rmine the locators and clamp positions explicitly. In addition, the models used are very sensitive to the initial feasible fixture layout. During the last decade, a few researchers utilized genetic algorithm to solve this problem. Wu and Chan 14 used the genetic algorithm to determine the most stati
20、cally stable fixture layout. Ishikawa and Aoyama 15 adopted the genetic algorithm to determine the optimal clamping condition for an elastic workpiece. Krishnakumar and Melkote 16 presented a method of achieving fixture layout optimization using genetic algorithm, in which a finite-element approach
21、is employed to evaluate the generated fixture layouts. Wang and Pelinescu 17 developed an algorithm of fixture layout optimization based on accurate localization, minimal locator contact force and balanced locator contact force. Mervyn et al. 18 presented an approach to automated synthesis of modula
22、r fixture designs using an evolutionary search algorithm. In general, the current achievements on computer-aided modular fixture design still have a certain distance from what industries expect. The main limitations of the current works include: (1) because the assembly relationships between locator
23、s and the workpiece are not described in an analytic way, the current methods of determining location plans are enumerative in nature and thus very time consuming; (2) the current approaches to determination of the side clamping positions are relatively complex; (3) the existing quality metrics abou
24、t fixture design do not consider the geometry structure of the workpiece and the assembly relationship between the workpiece and locators which also affect the quality of location plans. In this paper, we present a new approach to automated planning of modular fixtures with dowel-pin. The approach i
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