Graph-based set-up planning and tolerance decomposition for computer-aided fixture design

Zhang, Y.; Hu, Weixin; Ye, Rong; Yen, David W.

doi:10.1080/00207540110056171

Cited by 71 publications

(23 citation statements)

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“…[ 81] PR W uetal. [82] PR, DC, UR Xiong et al [83] P R ,T R ,D C Wu et al [43] PR, TR, DC Zhang et al [77] PR,TR N ela t urietal. [14] P R,DC,CP Zhou et al [1] P R ,D C ,C P FP% 28% 28% 28% 23% 40% UD Nee et al [60] PR, TR, DC, UR An et al [45] PR Cecil [84] P R , D C B o y l e e t a l .…”

Section: Intelligent Approaches To Fixture Design Systemsmentioning

confidence: 99%

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Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Hashemi

Shaharoun

Izman

et al. 2014

Advances in Mechanical Engineering

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Fixture design is an important issue in the process of manufacturing. As a critical design activity process, automation in fixture design plays an integral role in linking computer aided designs and computer aided manufacturing. This paper carries out a literature review of computer aided fixture design (CAFD) developments using intelligent methods that have been commonly utilized in automation in the last two decades. The first part of this review considers the steps of fixture design along with the significant researches and requirements of fixtures over time. After that, the paper presents important and relevant research carried out in the field of CAFD using intelligent approaches and the working principles surrounding this issue. The following section concentrates on the details of case based reasoning (CBR) approach, the most successful approach in CAFD. The examination of this approach is carried out based on applications, stages of CBR based systems fixture design, working principles, and pertinent proposed approaches. Lastly, the present drawbacks of the current methods and shortfalls in research are identified for future studies.

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Section: Intelligent Approaches To Fixture Design Systemsmentioning

confidence: 99%

“…[ 81] PR W angetal. [31] PR,CR,UR Wu et al [43] P R , D C Zhang et al [77] PR,TR W uetal. [82] P R ,T R ,A R Zhou et al [78] P R ,T R Y a oe ta l .…”

Section: Intelligent Approaches To Fixture Design Systemsmentioning

confidence: 99%

Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Hashemi

Shaharoun

Izman

et al. 2014

Advances in Mechanical Engineering

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show abstract

“…And process planning and scheduling could also be recorded in an AND/OR graph where each node of the AND/OR graph represented an operation which could be processed on alternative machines, directed edge denoted the precedence relationship between two consecutive operations (Wong et al 2012).Setup planning bridges gap between product designing and product manufacturing, and plays an important role in integrating design with process planning and fixture design. In order to do setup planning automatically, directed graph was used to express features and tolerance relationships, where the manufacturing features were defined as the vertexes and the relative tolerances relations were defined as the directed edges (Zhang et al 2001;X. Sun et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Typical process discovery based on affinity propagation

Wang

Zhang

Zhong

2016

JAMDSM

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A lot of repeated work existed in the design of manufacturing process for similar parts, and many kinds of process knowledge which were not reused effectively contained in the historical process data. In these conditions, in order to reuse the typical process effectively and enhance design efficiency, typical process discovery was studied. The problem of typical process discovery was described firstly, the attributed directed graph was used to model the process. And the similarity between processes could be measured with the similarity between process cells and the similarity between process routes by the process model. Based on the process similarity, affinity propagation method was used to cluster the process. For the purpose of getting the effective clustering results and making sure the best number of clusters, the Silhouette index and the in-group proportion index were separately adopted in the clustering analysis. Finally, we have experimented the validity of the discovery algorithm by clustering typical process of machining process for satellite plate.

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“…Zhang and Lin (1999) introduced the concept of hybrid graph and used tolerance as the critical constraint for set-up planning. Zhang (2001) applied tolerance decomposition, fixture design and manufacturing resource capability to set-up planning. Ong et al (2002) proposed a hybrid approach to set-up planning optimisation using genetic algorithms (GAs) and simulated annealing, based on a precedence relationship matrix.…”

Section: Introductionmentioning

confidence: 99%