Computer-Aided Design and Optimization of Fixtures for Plastic Parts Machining

Vukelić, Đorđe; Šimunović, Goran; Šarić, Tomislav; Matin, Ivan; Savković, Borislav; Lazarević, Milovan; Tadić, Branko

doi:10.24867/jpe-2018-01-049

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Therefore, the time required in conceptualizing and manufacturing fixtures possesses an enormous contribution to the production. They share an appreciable part of the total time (cost) required for production preparation [49,50]. The costs associated with the design and manufacture of fixtures are considerable, taking about 10-20% of the total cost of a manufacturing system [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated system for automation of process, fixture and inspection planning

Nasr

Al-Ahmari

Khan

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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A novel planning system which can automatically accomplish machining plans with the appropriate fixture setup and inspection strategies have been presented. In this work, the primary steps that are required to achieve an automated process scheme, modular fixture design, and inspection planning have been described. The object-oriented approach has been employed to attain automation and integration of the design process, including fixtures and inspection modules. This kind of system is unique as it provides an integrated platform for three important manufacturing activities, namely process planning, fixture design, and inspection. The STEP has been employed as an input to the proposed framework. The computer-aided process planning module consists of geometric and dimensional data, machining feature recognition information and process planning files. The modular fixture layout design has been developed using the set of defined rules, search strategies and the graphical database of various fixturing components. The computer-aided inspection planning module automatically generates an inspection plan and Dimensional Measuring Interface Standard code for coordinate measuring machines. It is noticeable from the reported case study and its outcomes that the developed integrated environment can effectively be employed in different manufacturing industries for automated process planning, fixture design, and inspection.

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Section: Literature Reviewmentioning

confidence: 99%

Integrated system for automation of process, fixture and inspection planning

Nasr

Al-Ahmari

Khan

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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“…Nasr et al [6] developed a series of rules based on factors such as part shape, primary reference surfaces, tool path trajectories, and constraints to determine locating schemes for different types of workpieces. Vukelic et al [7] employed criteria such as workpiece shape, dimensions, characteristics of locating surfaces (shape, integrity, quality, type, feature dimensions) as judgment information. They utilized a set of predefined rules ensuring locating error constraints to facilitate the selection of locating references and layout planning of locating points.…”

Section: Introductionmentioning

confidence: 99%

Locating Scheme Planning Algorithm based on Positioning Normal Line and Analytical Hierarchy Process

Zhang,

Wang,

Wang

et al. 2024

Preprint

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Planning methods tailored for individual stages of locating schemes often fall short of achieving overall optimization. Therefore, by employing the positioning normal line as a medium and based on the geometric theorem of workpiece locating concerning the positioning normal line, the relationship between workpiece degrees of freedom and the positioning normal line can be deduced. This enables the acquisition of positioning normal line information for the freedom constraint model, consequently deriving an initial layout for the locating points. This initial layout sieves through all surfaces of the workpiece, establishing a set of candidate locating references. The intrinsic conditions of the workpiece surfaces, alongside the corresponding clamping surface quality, are utilized as measures to gauge their locating capabilities. Aiming for optimal locating capabilities, the Analytic Hierarchy Process (AHP) is employed to ascertain a comprehensive, optimal vector encompassing the combined locating capabilities of various workpiece surfaces, aiding in the selection of locating references. The feasibility of this method is validated through practical examples. Results demonstrate that the layout of locating points planned using this method, in conjunction with the positioning normal information provided by different characteristic types as summarized in this paper, effectively guides machining personnel in formulating locating schemes.

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