مورد إلكتروني
Geometric distortion analysis using a combination of the contour method and machining simulation
العنوان: | Geometric distortion analysis using a combination of the contour method and machining simulation |
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بيانات النشر: | RISE - Research Institutes of Sweden (2017-2019), IVF GKN Aerospace AB, Sweden KTH Royal Institute of Technology, Sweden 2018 |
تفاصيل مُضافة: | Werke, Mats Wretland, Anders Ottosson, Peter Holmberg, Jonas Machens, Michael Semere, Daniel |
نوع الوثيقة: | Electronic Resource |
مستخلص: | During machining the material removal releases residual stresses introduced by previous process steps. This causes geometric machining distortions and thereby high rejection rates and costs. By simulating the process chain it is possible to predict this type of distortions. However, this requires advanced material models and accurate process- and material data for the individual processes. In order to simplify the modelling efforts a methodology that combines the contour method with machining simulation is proposed. The methodology is validated for an aerospace component using deep layer removal X-ray diffraction and CMM measurements. The methodology will improve possibilities to reduce machining distortions. © 2018 The Authors. |
مصطلحات الفهرس: | Contour method, Finite Element Analysis, GOM measurements, Machining distortions, Modelling methodology, residual stresses, XRD measurements, Coordinate measuring machines, Finite element method, Advanced materials, Aerospace components, Geometric distortion, Machining distortion, Machining simulation, Manufacture, Other Natural Sciences, Annan naturvetenskap, Conference paper, info:eu-repo/semantics/conferenceObject, text |
DOI: | 10.1016.j.procir.2018.03.213 |
URL: | Procedia CIRP, p. 1481-1486 |
الإتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
ملاحظة: | application/pdf English |
أرقام أخرى: | UPE oai:DiVA.org:ri-34545 0000-0001-8200-1370 0009-0005-7340-9223 0000-0003-2991-2911 doi:10.1016/j.procir.2018.03.213 Scopus 2-s2.0-85049577513 1248697325 |
المصدر المساهم: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
رقم الأكسشن: | edsoai.on1248697325 |
قاعدة البيانات: | OAIster |
DOI: | 10.1016.j.procir.2018.03.213 |
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