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- 저자 : Gül E. Okudan Kremer (검색결과 2 건)
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Sarath C. Renjith,Kijung Park,Gül E. Okudan Kremer 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.2
Additive manufacturing has emerged as an integral part of modern manufacturing because of its unique capabilities in various application domains. As efforts to effectively apply additive manufacturing, design for additive manufacturing (DfAM) has risen to provide a set of guidelines based on a practical design framework or a methodology during the product design process of additive manufacturing. However, most existing DfAM methods do not effectively consider the capabilities of extant additive manufacturing technologies in the early design stages, and therefore it is hard to map functional requirements from customer needs onto a product design for additive manufacturing. Moreover, available DfAM methods tend to rely on the direct application of a specific decision method rather than a systematic approach with appropriate deployment and transformation of available design decision methods considering the additive manufacturing environment. Consequently, existing DfAM methods lack suitability for use by additive manufacturing novices. To tackle these issues, this study develops a design framework for additive manufacturing through the integration of axiomatic design and theory of inventive problem-solving (TRIZ). This integrated approach is effective because the axiomatic design approach can be used to systematically define and analyze a design problem, while the TRIZ problem-solving approach combined with an additive manufacturing database can be used as an idea generation tool to generate innovative solutions for the design problem. A case study for a housing cover redesign is presented to apply and validate the proposed design framework.
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An Investigation on Process Capability Analysis for Fused Filament Fabrication
Elif Elçin Günay,Anusha Velineni,Kijung Park,Gül E. Okudan Kremer 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.4
Additive manufacturing (AM) has become a popular manufacturing technology today. Many companies have been investingin AM technologies and skill development to carefully integrate them into their capabilities. Despite its benefi ts, AM hasseveral disadvantages that require in-depth analysis and process engineering. This research focuses on the reproducibilityissue of fused fi lament fabrication (FFF) for polylactic acid printing to reveal whether the AM technology can produce partscomparable to those by traditional or subtractive manufacturing. For this purpose, identifi cation of optimal process parametersand process capability analysis are integrated to achieve repeatable minimum deviation from target dimensions. First,a design of experiments is planned and performed to determine the optimal combination of signifi cant factors to ensuredimensional accuracy. Then, process capability analysis under optimal factor settings is performed to examine whether theprinted part dimensions satisfy the target performance levels. Findings from this study show the FFF process can match thereproducibility of manufacturing parts produced by traditional manufacturing technologies.
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