A review of machining feature recognition methodologies

Verma, Arvind; Rajotia, Sunil

doi:10.1080/09511921003642121

Cited by 99 publications

(37 citation statements)

References 91 publications

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“…The recognised cylindrical-and conical-based features are very useful for process planning. A more comprehensive review about feature recognition can be found in a recent study by Verma and Rajotia (2010).…”

Section: Feature Recognition From Free-form Surface Modelmentioning

confidence: 99%

Definition and recognition of rib features in aircraft structural part

Wang

Liu

et al. 2013

International Journal of Computer Integrated Manufacturing

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In this research, a new type of manufacturing feature that is commonly observed in aircraft structural parts, known as ribs, is defined and implemented using the object-oriented software engineering approach. The rib feature type is defined as a set of constrained and adjacent faces of a part which are associated with a set of specific rib machining operations. Computerized numerical control (CNC) operation experience and the machining knowledge are leveraged by analysing typical geometry interactions when generating machining tool paths where such knowledge and experience are abstracted as rules of process planning. Then those abstracted machining process rules are implemented in a feature recognition algorithm on top of an existing and holistic attribute adjacency graph solution to extract seed faces, identify individual local rib elements and further cluster these newly identified local rib elements into groups for the ease of machining operations. Out of the potentially different combinations of local rib elements, those optimised cluster groups are merged into the top-level rib features. The enhanced recognition algorithm is presented in details. A pilot system has already been developed and applied for machining many advanced aircraft structural parts in a large aircraft manufacturer. Observations and conclusions are presented at the end.

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Section: Feature Recognition From Free-form Surface Modelmentioning

confidence: 99%

Definition and recognition of rib features in aircraft structural part

Wang

Liu

et al. 2013

International Journal of Computer Integrated Manufacturing

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“…At the design phase, the manufacturing parameters of features can be gotten by the method of feature mapping from design parameters (Dong and Vijayan 1997;Lin, Lin, and Cheng 1997;Nagarajan and Reddy 2010;Verma and Rajotia 2010). SEC j (Specific energy consumption) is the energy consumption of removing per unit material in the jth process.…”

Section: Estimation Of Theoretical Cutting Energy Consumption Of a Fementioning

confidence: 99%

Estimating machining-related energy consumption of parts at the design phase based on feature technology

Hu¹,

Tang²,

He³

et al. 2014

International Journal of Production Research

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To overcome the difficulties in previous researches about energy-efficient design of parts, a method to estimate machining-related energy consumption of parts at the design phase is proposed. The binary tree is constructed to describe the structure of a part, and each node in the binary tree represents one feature in the part. The material embodied energy, theoretical cutting energy consumption and air-cutting energy consumption of a feature can be calculated based on its design and manufacturing parameters. At the design phase, manufacturing parameters of a feature can be obtained by the method of feature mapping from design parameters. By adding up above three types of energy consumption, total energy consumption of a feature can be calculated. Further, by adding up total energy consumption of all features in a part, the energy consumption of this part can be estimated. The proposed method was demonstrated by estimating the energy consumption of a shaft part designed by an auto parts manufacturer, and meanwhile the measured energy consumption of the shaft part was acquired by experimental measurement. The estimation accuracy is analysed and verified by comparing the estimated value and measured value. IntroductionEnergy is indispensible for the development of this modern society. Due to energy crisis and environmental pollution in energy generation (e.g. electricity generation by combustion of fossil fuels), the reduction of energy consumption not only benefits energy security and sustainable development of society but also improves environmental performances (Li, Hong, and Xing 2013; Rajemi, Mativenga, and Aramcharoen 2010). Therefore, energy efficiency has become increasingly vital (Seow, Rahimifard, and Woolley 2013). Particularly, products, for example machine tools, automobiles, turbines, account for a significant high proportion of total global energy consumption in their lifecycles. It has been proved that the reasonability of product design can exert a profound influence on reducing energy consumption of products in their future phases, such as manufacturing, transportation, usage and maintenance (Bonvoisin et al. 2013;Ingeneer, Mathieux, and Brissaud 2012), so energy-efficient design of products can play a key role in energy saving.Research suggests that energy-efficient design of products could start with predicting energy consumption of product design schemes in future phases, such as manufacturing phase, transportation phase and use phase, and further the product design schemes can be optimised based on the prediction information (Cao et al. 2012). In previous researches, energy-efficient design of products tends to be considered from the perspective of the whole life cycle rather than one or few phases, and these researches can be categorised into three aspects: (1) modelling the energy consumption for the product design scheme(Vinodh and Rathod 2010; Yang and Song 2009), (2) calculating the energy consumption for the product design scheme (Chen et al. 2012; Song and Lee 2010) and (3) optimising th...

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“…rozpoznawanie cech w komercyjnych systemach CAM Dostępnych jest szereg metod rozpoznawania cech technologicznych [1][2][3][4]. Producenci systemów CAM nie informują o wybranej metodzie rozpoznawania.…”

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Functionality of machining feature recognition in commercial CAM systems

Pobożniak¹,

Sobieski²

2016

Mechanik

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Celem pracy było przedstawienie funkcjonalności rozpoznawania cech technologicznych w komercyjnych systemach CAM. Omówiono powody ograniczające aktualnie dostępne rozwiązania. Zaproponowano dwa rozwiązania zwiększające tą funkcjonalność: wykorzystanie wiedzy technologicznej w procesie rozpoznawania oraz rozpoznawanie stanów pośrednich przedmiotu obrabianego. SŁOWA KLUCZOWE: CAM, CNC, rozpoznawanie cech technologicznychThe goal of the work was to present the functionality of machining feature recognition in commercial CAM systems. The reasons limiting the nowadays solutions were discussed. Two solutions increasing this functionality are proposed: the use of manufacturing knowledge in the recognition process and the recognition of intermediate states of parts. KEYWORDS: CAM, CNC, machining feature recognitionPowszechność stosowania obrabiarek sterowanych numerycznie (OSN), dostępność dokumentacji konstrukcyjnej w postaci plików systemów CAD oraz rosnąca złożoność przedmiotów obrabianych są powodem szerokiego stosowania systemów CAM (Computer Aided Manufacturing). Zdecydowana większość komercyjnych systemów CAM dostępnych obecnie na rynku, włączając w to systemy Catia firmy Dassault Systemes, NX CAM firmy Siemens czy CAMWorks firmy Geometric Ltd., oferuje funkcję rozpoznawania cech technologicznych. Funkcja ta grupuje elementy geometryczne, tworzące model geometryczny w systemie CAD, takie jak powierzchnie, krawędzie, punkty, itd. w jednostki informacji istotne z punktu widzenia programowania obrabiarek OSN, tzn. grupuje je w cechy technologiczne, takie jak: kieszenie zamknięte, kieszenie otwarte, rowki przelotowe, rowki nieprzelotowe, otwory, itp. Rozpoznawanie cech technologicznych jest istotne z dwóch powodów. Po pierwsze, pozwala znacznie zredukować czas programowania w przypadku przedmiotów posiadających dużą liczbę prostych cech obrabianych (np. otworów) i/lub cech składających się z wielu powierzchni, jak na przykład kieszenie posiadające wiele powierzchni bocznych. Wynika to z faktu, że programista jest zwolniony z obowiązku żmudnego wskazywania poszczególnych cech czy powierzchni. Drugi istotny powód to możliwość budowy baz wiedzy technologicznej w formie reguł. Reguły te sprawdzają parametry cech technologicznych, jak: średnica otworu, rodzaj otworu (przelotowy, nieprzelotowy), czy rodzaj pogłębienia i wybierają odpowiednie cykle obróbki [6]. Dzięki temu można skrócić czas programowania, a dodatkowo korzystać z wiedzy technologicznej przedsiębiorstwa. . Metoda logiczna analizuje przede wszystkim powierzchnie pod kątem występowania na nich tzw. wewnętrznych ciągów krawędzi. Występowanie takie ciągu informuje o istnieniu cechy typu wklęsłego (np. kieszeń czy otwór) albo cechy wypukłej (np. trzpień lub wyspa na dnie kieszeni). Rodzaj cechy jest określany poprzez badanie kąta pomiędzy powierzchnią, na której leży ciąg krawędzi, a powierzchniami bocznymi szukanej cechy. Metoda hint based reasoning wyszukuje w reprezentacji elementów świadczących o możliwości występowania danej cechy. Przykładowo, występowanie ...

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A review of machining feature recognition methodologies

Cited by 99 publications

References 91 publications

Definition and recognition of rib features in aircraft structural part

Definition and recognition of rib features in aircraft structural part

Estimating machining-related energy consumption of parts at the design phase based on feature technology

Functionality of machining feature recognition in commercial CAM systems

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