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Real-Time Assessment for Architectural CAD/CAM: Knowledge-Based-Methodology Approach

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Global Design and Local Materialization (CAAD Futures 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 369))

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Abstract

This paper proposes a methodology that assesses in real-time the various impacts of the application of a CAD / CAM logic, to assist the designer in making objective considerations about the efficiency of a given manufacturing logic. A forecast of this nature enables the designer with the power to identify and quantify the strengths and weaknesses of a case versus others, and allows him to detect what are the configurations and processes that have potential to be optimized. The next chapters will show how the use of integration of knowledge-based-methodology (KBM) in the implementation of CAM to systematize the selection of different designs and operations, can improve the construction/fabrication practice depending on the fabrication equipment, material selection and other indicators. The adoption of the above-mentioned methodology is particularly pertinent for decision makers, since it can be deployed in a variety of different processes. It harvests information to compare and optimize the manufacture outline, and supports the screening and assortment of appropriate tool paths or combination of fabrication tools based on environmental/cost data, user-specified requirements and context characteristics.

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© 2013 Springer-Verlag Berlin Heidelberg

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Portugal, V. (2013). Real-Time Assessment for Architectural CAD/CAM: Knowledge-Based-Methodology Approach. In: Zhang, J., Sun, C. (eds) Global Design and Local Materialization. CAAD Futures 2013. Communications in Computer and Information Science, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38974-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-38974-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38973-3

  • Online ISBN: 978-3-642-38974-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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