2018
DOI: 10.1016/j.procir.2017.11.128
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Life Cycle Engineering Based on Visual Analytics

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Cited by 19 publications
(7 citation statements)
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“…Energy and material data can either rely on empirical data, prospectively oriented engineering models, e.g. simulation studies, or a combination of both [14].…”
Section: Impacts Of Manufacturing Frp-based Lightweight Body Partsmentioning
confidence: 99%
“…Energy and material data can either rely on empirical data, prospectively oriented engineering models, e.g. simulation studies, or a combination of both [14].…”
Section: Impacts Of Manufacturing Frp-based Lightweight Body Partsmentioning
confidence: 99%
“…The methodology is organized in two pillars (A Life Cycle Assessment, B Conceptual Design) and four levels (i Data, ii Engineering models, iii Interpretation and visualization, iv Knowledge building). The pillars are associated to the involved disciplines, i.e., environmental impact evaluation based on Life Cycle Assessment (LCA) and conceptual design, whereas the levels are organized around a Visual Analytics-based LCE workflow as introduced by Kaluza et al [12]. This also includes a perspective on applied input data, e.g., background data like environmental impacts in material and energy supply, foreground data like the production and use scenario of the vehicle as well as part-related data regarding the part geometry, mechanical loading and design criteria.…”
Section: Design Of Eco-efficient Body Parts Considering Life Cycle Environmental Informationmentioning
confidence: 99%
“…Based on this definition, Fig. 18 proposes an LCE workflow illustrating interfaces between data acquisition, modelling, visualisation and interpretation, and knowledge generation [246]. For the case of lightweight structures, an interdisciplinary collaborative approach capturing the manifold interdependencies between design, manufacturing and LCE has been proposed [11].…”
Section: Future Research Directionsmentioning
confidence: 99%