Flexible fixturing for workpiece positioning and constraining

Shirinzadeh, Bijan

doi:10.1108/01445150210423143

Cited by 40 publications

(20 citation statements)

References 8 publications

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“…The SoV model is applied to estimate the impact that those potential control actions will have on the quality of the final product. Active control for variation reduction requires two enablers [21]: in-line dimensional measurement sensors to measure actual part deviation, and realtime actuators such as CNC machining stations or flexible tooling [29] to act on the manufacturing process. By these enablers, dimensional quality control can be based on feed-back control or feed-forward control [21].…”

Section: Dimensional Quality Controlmentioning

confidence: 99%

Manufacturing variation models in multi-station machining systems

Abellán-Nebot

Romero

Mira

2012

Int J Adv Manuf Technol

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In product design and quality improvement fields, the development of reliable 3D machining variation models for multi-station machining processes is a key issue to estimate the resulting geometrical and dimensional quality of manufactured parts, generate robust process plans, eliminate downstream manufacturing problems and reduce ramp-up times. In the literature, two main 3D machining variation models have been studied: the Stream of Variation (SoV) model, oriented to product quality improvement (fault diagnosis, process planning evaluation and selection, etc.), and the Model of the Manufactured Part (MoMP), oriented to product and manufacturing design activities (manufacturing and product tolerance analysis and synthesis). This paper reviews the fundamentals of each model and describes step by step how to derive them using a simple case study. The paper analyzes both models and compares their main characteristics and applications. A discussion about the drawbacks and limitations of each model and some potential research lines in this field are also presented.

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Section: Dimensional Quality Controlmentioning

confidence: 99%

Manufacturing variation models in multi-station machining systems

Abellán-Nebot

Romero

Mira

2012

Int J Adv Manuf Technol

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“…This is a cyberphysical challenge that requires the careful design of functions, components and their interfaces be they of a material, energetic or informatic nature. Some of this work includes modular machine tools and material handlers (Heilala and Voho 2001;Landers et al 2001;Shirinzadeh 2002;Müller et al 2013) and distributed automation (Brennan and Norrie 2001;Vyatkin 2007;Lepuschitz et al 2010;Vallee et al 2011). Additionally, a wide set of artificially intelligent paradigms such as multi-agent systems (Shen and Norrie 1999;Shen et al 2000;Leitao 2009; Leitao and Restivo 2006;Leitao et al 2012;Ribeiro and Barata 2013;Lin et al 2013;Trappey et al 2013), and Holonic manufacturing systems (Babiceanu and Chen 2006;Marik et al 2002;McFarlane and Bussmann 2000;McFarlane et al 2003) have emerged.…”

Section: Introductionmentioning

confidence: 99%

Measures of reconfigurability and its key characteristics in intelligent manufacturing systems

Farid

2014

J Intell Manuf

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In recent years, the fields of reconfigurable manufacturing systems, holonic manufacturing systems, and multi-agent systems have made technological advances to support the ready reconfiguration of automated manufacturing systems. While these technological advances have demonstrated robust operation and been qualitatively successful in achieving reconfigurability, limited effort has been devoted to the measurement of reconfigurability in the resultant systems. Hence, it is not clear (1) to which degree these designs have achieved their intended level of reconfigurability, (2) which systems are indeed quantitatively more reconfigurable and (3) how these designs may overcome their design limitations to achieve greater reconfigurability in subsequent design iterations. Recently, a reconfigurability measurement process based upon axiomatic design knowledge base and the design structure matrix has been developed. Together, they provide quantitative measures of reconfiguration potential and ease. This paper now builds upon these works to provide a set of composite reconfigurability measures. Among these are measures for the key characteristics of reconfigurability: integrability, convertibility, and customization, which have driven the qualitative and intuitive design of these technological advances. These measures are then demonstrated on an illustrative example followed by a discussion of how they adhere to requirements for reconfigurability measurement in automated and intelligent manufacturing systems.

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“…In the past decade or so, a great deal of attention has been increasingly directed toward the design, analysis and synthesis of flexible fixturing systems. There are a number of strategies in order to achieve flexibility (Shirinzadeh, 2002), but this paper mainly focused on the reconfigurable fixtures designed for machining operations of thin shell parts.…”

Section: Introductionmentioning

confidence: 99%

Location Issues of Thin Shell Parts in the Reconfigurable Fixture for Trimming Operation

2014

J.Aerosp. Technol. Manag.

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The location of thin shell parts is always a knotty problem during machining, welding, forming, assembling and inspection operations. This paper mainly focuses on the special location issues in the digital and flexible trimming process for aircraft skins fastened by reconfigurable fixture. Firstly, in view of the dynamic change of effective locators, the "X-2-1" location principle was proposed with reference to the "3-2-1" and "N-2-1" location schemes. Secondly, the standard procedure for solving location parameters was summarized in consideration of location admissibility, holding posture, locator layout and so on. Thirdly, a locating experiment was conducted to investigate the positional accuracy of the reconfigurable fixture and the calculation accuracy of location parameters solution. Fourthly, a quantitative evaluation method to evaluate the dynamic stiffness of the fixturing system was put forward. Moreover, the effects of location layout on the dynamic stiffness were analyzed using the finite element simulation system for the trimming process. A noticeable appearance had been observed that the cliff effect of the dynamic stiffness of the flexible fixturing system may be induced due to the dynamic change of effective locators. Finally, some conclusions and discussion on future works were given.

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Flexible fixturing for workpiece positioning and constraining

Cited by 40 publications

References 8 publications

Manufacturing variation models in multi-station machining systems

Manufacturing variation models in multi-station machining systems

Measures of reconfigurability and its key characteristics in intelligent manufacturing systems

Location Issues of Thin Shell Parts in the Reconfigurable Fixture for Trimming Operation

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