Validation, Workpiece Selection and Clamping of Complex 2.5D Components

Yue, Yong; Murray, James L.

doi:10.1016/b978-0-444-81600-9.50014-6

Cited by 11 publications

(3 citation statements)

References 45 publications

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“…The 1990s saw the beginning of research and development of fixtures in computer programs dedicated to the solution of planning, selection, assembly, and fixture validation problems. The result was a variety of models based on computational programs with varying levels of automation, ranging from specialized systems based on different functional principles to sophisticated software programs for structural analyses (Kumar et al, 1992;Siong et al, 1992;Pereira and Cunha, 1996;Hirsch et al, 1994;Yue and Murray, 1994;Ngoi and Leow, 1994;Sayeed and Meter, 1994).…”

Section: Bibliographical Reviewmentioning

confidence: 99%

An approach to fixture systems management in machining processes

Consalter

Boehs

2004

J. Braz. Soc. Mech. Sci. & Eng.

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Starting from the premise that the management of fixture systems in the area of machining has been somewhat neglected from the standpoint of its technological development, the work reported on herein focuses on the development of a methodology for the management of these systems. Based on the findings of a survey carried out at companies operating in this sector and on a review of the literature on the subject, both of which confirm this lack, hypotheses are drawn up and supporting data compiled to underpin the development of a systematic, extensive and flexible model. The model, founded on principles of standardization and modularity, basically consists of four main stages: the company's definition/characterization of fixtures management, selection of the type of fixture suitable for the company, rationalization and organization of the area, and the construction of planning and control architectures within the company. We foresee that the formalization of the scientifically-based management support model proposed here will contribute significantly to productive and R&D sectors, computerizing the fixtures management methods used by companies and integrating their managerial philosophies and procedures for machining tools and fixtures

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Section: Bibliographical Reviewmentioning

confidence: 99%

An approach to fixture systems management in machining processes

Consalter

Boehs

2004

J. Braz. Soc. Mech. Sci. & Eng.

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“…Therefore, much research has been done on generative approaches, and a number of experimental systems have been developed for various aspects of process planning [10,13,15,24]. Unfortunately, generative process planning has proved quite difficult in practice, due to the interaction among various aspects of the problem, such as workpiece fixturing, process selection, and process sequencing.…”

Section: Process Planningmentioning

confidence: 99%

Challenges in feature-based manufacturing research

Mäntylä¹,

Nau

Shah

1996

Commun. ACM

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“…The workpiece is simply the MEB. Yue and Murray (1994) used a similar method to choose workpieces for 2.5D machined components. In this case, the problem was reduced to a two-dimensional problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of automatic workpiece selection for machining from bar stock inventories

Leonard

Shah

1996

J Intell Manuf

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Given a feature-based CAD model of a part's geometry, the problem is to select the shape, size and cut-off length of bar stock from which the part can be made. The standard stock shapes and sizes available in any shop vary, so the task is to select the best-suited stock geometry from the available inventory. The requirements of a system to perform this task are presented along with several alternative methods: shape coding, shrinking bounding box, silhouette projection, extremal point network, principal machining directions, and face extension. None of these methods was found to be completely satisfactory, so a hybrid method was synthesized and implemented. A coding scheme is used to select the workpiece shape, based on primary features and their relationships. Prismatic workpieces are selected by a silhouette projection method using quadtree-based matching. Pure rotational parts are distinguished from those with major axes deviations by a face extension method that looks for intersections with a candidate rotational shape. Once the overall part shape has been determined, it is matched with available workpiece shapes. The workpiece is then sized using a version of the bounding box method.

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Validation, Workpiece Selection and Clamping of Complex 2.5D Components

Cited by 11 publications

References 45 publications

An approach to fixture systems management in machining processes

An approach to fixture systems management in machining processes

Challenges in feature-based manufacturing research

Investigation of automatic workpiece selection for machining from bar stock inventories

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