Machine capability and fixturing constraints-imposed automatic machining set-ups generation

Göloğlu, Cevdet

doi:10.1016/j.jmatprotec.2004.01.043

Cited by 41 publications

(21 citation statements)

References 11 publications

(10 reference statements)

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“…Mokhtar and Xu (2011) in particular, suggest the need for sequencing machining operations based on two types of classified constraints: machining operation specific constraint and part geometry-related precedence constraint. An automatic setup planning module for machining of prismatic parts was developed by Gologlu (2004). Machining and fixturing constraints are considered simultaneously by the CAPP system prototype to ensure the effective generation of process plans.…”

Section: Overview Of Related Research Workmentioning

confidence: 99%

“…One of the rules for the assignment of features to setups is the consideration of tool approach directions (TAD) as presented, among others, in research papers of Gologlu (2004) or Liu and Wang (2007). As indicated in these papers, features with the same TAD can be grouped into feature clusters and machined within one setup.…”

Section: Overview Of Related Research Workmentioning

confidence: 99%

“…In most CAPP-related publications, geometric interactions between features, the data sets concerning dimensions and tolerances are used for sequencing features within each individual setup, as assumed in the design schemes of Gologlu (2004), and also Liu and Wang (2007). The problem of embedding, in current CAD models, non-geometric technological information, such as dimensional and geometric tolerance, surface roughness and hardness, that is necessary for CAPP, is also discussed by Zhou et al (2007).…”

Section: Overview Of Related Research Workmentioning

confidence: 99%

“…Some of the features can be additionally restricted in terms of machining due to machine-fixture relationships as noted in the publication of Gologlu (2004). Alternatives of fixture elements and machines are represented in this paper by alternative machining systems.…”

Section: Overview Of Related Research Workmentioning

confidence: 99%

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Feature-based generation of machining process plans for optimised parts manufacture

Deja

Siemiątkowski

2012

J Intell Manuf

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Efficacious integration of such CAx technologies as CAD, CAM and CAPP still remains a problem in engineering practice which constantly attracts research attention. Design by feature model is assumed as a main factor in the integration effort in various engineering and manufacturing domains. It refers principally to feature clustering and consequently operation sequencing in elaborated process plan designs. The focus of this paper is on CAPP for parts manufacture in systems of definite processing capabilities, involving multi-axis machining centres. A methodical approach is proposed to optimally solve for process planning problems, which consists in the identification of process alternatives and sequencing adequate working steps. The approach involves the use of the branch and bound concept from the field of artificial intelligence. A conceptual scheme for generation of alternative process plans in the form of a network is developed. It is based on part design data modelling in terms of machining features. A relevant algorithm is proposed for creating such a network and searching for the optimal process plan solution from the viewpoint of its operational performance, under formulated process constraints. The feasibility of the approach and the algorithm are illustrated by a numerical case with regard to a real application and diverse machine tools with relevant tooling. Generated process alternatives for complex machining with given systems, are studied using models programmed in the environment of Matlab software.

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Section: Overview Of Related Research Workmentioning

confidence: 99%

Section: Overview Of Related Research Workmentioning

confidence: 99%

Section: Overview Of Related Research Workmentioning

confidence: 99%

Section: Overview Of Related Research Workmentioning

confidence: 99%

See 2 more Smart Citations

Feature-based generation of machining process plans for optimised parts manufacture

Deja

Siemiątkowski

2012

J Intell Manuf

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“…Kumar et al [24] developed a classification model and classification rules for conceptual design of fixture in milling and drilling process, for prismatic parts. Gologlu [25] presented a rule-based reasoning methodology for setup planning and datum selection incorporating machining and fixturing constraints. Liqing and Kumar [26] developed internetenabled CBR system for fixture design and implemented in client-server mode architecture.…”

Section: Introductionmentioning

confidence: 99%

Intelligent design and optimization of machining fixtures

et al. 2016

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Original scientific paper This work presents an integral system for machining fixture layout design and optimization. The optimization module of this system allows determination of optimal positions of locating and clamping elements, which provides required accuracy and surface quality, while at the same time guarantees design of collision-free fixtures. The design module performs selection of required fixture elements based on a set of predefined production rules. Adequate criteria for the selection of fixture elements are defined for locating, clamping, tool guiding, and tool adjustment elements, as well as for fixture body elements, connecting elements and add-on elements. The system uses geometry and feature workpiece characteristics, as well as the additional machining, and process planning information. It has been developed to accommodate machining processes of turning, drilling, milling, and grinding of rotational and prismatic workpieces. A segment of output results is also shown. Finally, conclusions are presented with directions for future investigation. Keywords: artificial intelligence; fixture; process planningInteligentno projektiranje i optimizacija konstrukcija naprava za strojnu obradu Izvorni znanstveni rad U radu je predstavljen integralni sustav za projektiranje i optimizaciju konstrukcije naprava za strojnu obradu. Dio sustava za optimizaciju omogućuje, s jedne strane, određivanje optimalnih pozicija elemenata za baziranje i stezanje kako bi se postigla potrebna točnost i kvaliteta obrađene površine izratka, a s druge strane, generiranje konstrukcije naprava bez kolizija. Dio sustava za projektiranje osigurava izbor pojedinih elemenata naprava na osnovi prethodno definiranih produkcijskih pravila. Prilagođeni kriteriji izbora definirani su za elemente za baziranje, elemente za stezanje, elemente za vođenje alata, elemente za podešavanje položaja alata, elemente tijela naprava, elemente za povezivanje i nadogradne elemente. Sustav je baziran na geometrijskim karakteristikama i karakterističnim obilježjima djela, kao i dodatnim informacijama o obradi i informacijama iz tehnološkog procesa. Sustav je razvijan za operacije tokarenja, bušenja, glodanja i brušenja koje se izvode na rotacijskim i prizmatičnim radnim predmetima. U radu su djelomično prikazani izlazni rezultati razvijenog sustava. Na kraju rada dani su odgovarajući zaključci i istaknuti mogući pravci daljih istraživanja.

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