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Features Extraction from CAD as a Basis for Assembly Process Planning
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).ORCID iD: 0000-0002-9551-0104
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).ORCID iD: 0000-0002-7550-3134
2017 (English)In: TECHNOLOGICAL INNOVATION FOR SMART SYSTEMS / [ed] CamarinhaMatos, LM ParreiraRocha, M Ramezani, J, SPRINGER-VERLAG BERLIN , 2017, p. 144-153Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a novel approach to recognize product features, which are significant for Assembly Process Planning (APP). The work presented in this paper is a part of a larger effort to develop methods and tools for a more automated and bidirectional link between product CAD and the different processes and resources applied in APP. APP is the phase, in which the required assembly processes and resources are determined in order to convert a product to fully assembled or semi-assembled product. Product features will be extracted from the SolidWorks (SW) CAD file using SW- Application Programming Interface (API). SW-API is an interface that allows the exchange of data between CAD design and different software applications. The work includes automatic recognition for assembly knowledge, geometry and non-geometry knowledge (dimensions, geometrical tolerances, and kinematic constraints) in assembly design, which are relevant for assembly process and resources. Recognition algorithms have been developed by using visual basic. Net (VB.net). A case-study example is included for illustration of the proposed approach.

Place, publisher, year, edition, pages
SPRINGER-VERLAG BERLIN , 2017. p. 144-153
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238 ; 499
Keywords [en]
Features, Form features, Assembly Process Planning, CAD, SolidWorks, API
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-211429DOI: 10.1007/978-3-319-56077-9_13ISI: 000425842300013Scopus ID: 2-s2.0-85018184400ISBN: 978-3-319-56076-2 (print)OAI: oai:DiVA.org:kth-211429DiVA, id: diva2:1129109
Conference
8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, MAY 03-05, 2017, Costa de Caparica, PORTUGAL
Note

QC 20170801

Available from: 2017-08-01 Created: 2017-08-01 Last updated: 2022-06-27Bibliographically approved
In thesis
1. An Ontological Approach to support Knowledge Sharing between Product Design and Assembly Process Planning (APP)
Open this publication in new window or tab >>An Ontological Approach to support Knowledge Sharing between Product Design and Assembly Process Planning (APP)
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Modern manufacturing organizations have to cope with several critical issues arising from the need for mass customization such as short product life-cycles, an increasing number of product variants and frequently changing customer requirements. One of the main factors that could aid overcoming those challenges is the use of information and communication technology (ICT) applications over a collaborative manufacturing environment, in which all stakeholders share and exchange knowledge across different manufacturing domains and applications. However, the use of ICT applications over a collaborative manufacturing environment is limited at the domain level by semantic conflicts arising from the use of different ways to describe the same objects and facts arising from different conceptualizations. Similarly, ICT usage is limited on the application level by interoperability problems arising from diverse heterogeneity between different ICT applications and tools.This research presents a semantic approach to support knowledge sharing within the assembly domain. More specifically, this research is focusing on capturing and sharing assembly design knowledge and integrating the assembly design domain and the Assembly Process Planning (APP) domain. Assembly design and APP are very important engineering domains for successful manufacturing system design, which requires an efficient collaborative environment for best utilization of the assembly resources. However, though these domains represent different perspectives in understanding of the same concepts, both domains use different software applications, which might cause interoperability issues.In this thesis, a novel integration approach has been proposed; this approach is composed of two stages: the first stage includes modelling and recognition of assembly knowledge semantics from SolidWorks (SW) CAD software by using SolidWorks’ Application Programmable Interface (SW-API). The second stage includes sharing the recognized assembly knowledge semantics by using a knowledge-based system in the form of a three-layer ontology architecture which provides a common semantic base to support knowledge sharing across assembly design and APP both on the domain and the application level. Each ontology layer shares a set of concepts from the most generic level to the most specialized level. The foundation ontology layer represents the general key concepts in the assembly design and APP domains. More specialized assembly design concepts and APP concepts are represented both in the domain ontology layer, and the application ontology layer. In the latter, concepts related to SolidWorks CAD software and to assembly robotic devices are represented.

Abstract [sv]

Moderna tillverkande företag måste hantera flera utmaningar som uppstår när massproduktion och hög grad av kundanpassning kombineras, t.ex. kortare livscykler, ett ökande antal produktvarianter och ständigt förändrade kundbehov. Modern tillämpning av informations- och kommunikationsteknik (IKT) kan erbjuda verktygsstöd som gör att olika intressenter i värdekedjan kan dela och utbyta kunskap på ett mer systematiskt sätt. Användningen av IKT-tillämpningar över en samverkande produkt- och produktionsutvecklingsmiljö är dock idag begränsad eftersom produkter, produktionsutrustningar och dess egenskaper modelleras, beskrivs och kommuniceras på olika sätt i olika delar av värdekedjan, t ex i produktutveckling respektive utveckling av monteringssystem. På liknande sätt uppstår kompatibilitetsproblem mellan de olika datorbaserade stödsystem som används.I denna avhandling presenteras en metod för att stödja semantisk kunskapsdelning mellan produktutveckling och utveckling av monteringssystem. Mer specifikt fokuserar forskningen på att fånga och dela kunskap mellan produktutveckling och modellering/planering av tillhörande monteringssystem och processer. Produktutveckling med tydlig hänsyn till monteringsaspekter och motsvarande planering av monteringsprocesser är viktiga områden för framgångsrik realisering av produkter och produktionssystem där både utvecklings- och produktionsresurser utnyttjas på ett effektivt sätt.I avhandlingen föreslås en ny datorbaserad metod för integration av produkt- och produktionssystemutveckling. Denna metod består av två steg där det första steget innefattar identifiering och semantisk modellering av den produkt- och komponentinformation som är relevant för montering, direkt från SolidWorks CAD-programvara genom att använda SolidWorks gränssnitt för applikationsprogrammering. Det andra steget innebär att den modellerade monteringsrelaterade produktkunskapen delas med hjälp en utvecklad hierarkisk ontologistruktur (kunskapsbaserat system i tre nivåer). Kunskapssystemet erbjuder en gemensam bas för kunskapsdelning mellan produktutveckling och produktionsutveckling, såväl på domännivå som på verktygsnivå. Respektive hierarkisk nivå i ontologin delar en uppsättning koncept och begrepp. Från den mest generella nivån till den mest specialiserade nivå förfinas dessa koncept och begrepp till alltmer detaljerad information. Den översta nivån representerar de mest generella koncepten inom CAD respektive monteringssystem. Specialisering av dessa koncept och begrepp återfinns på domän och applikationsnivån. På den lägsta nivån (applikationsnivån) återfinns koncept och begrepp relaterade direkt till SolidWorks CAD-modeller och till modeller av produktionsutrusning.En fallstudie verifierar att den implementerade metodiken stöder kunskapsdelningen mellan produktutveckling och utveckling produktionssystem med tillhörande monteringsprocesser.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. p. 59
Keywords
knowledge sharing, Ontology, semantics, assembly knowledge, assembly design and assembly process planning.
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-221103 (URN)978-91-7729-646-1 (ISBN)
Public defence
2018-01-26, Gladan, Brinellvägen 85, våningsplan 1, Maskin, KTH Campus, Stockholm, 10:30 (English)
Opponent
Supervisors
Note

QC 20180115

Available from: 2018-01-15 Created: 2018-01-14 Last updated: 2022-06-26Bibliographically approved

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Hasan, BahaWikander, Jan

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