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Adaptable design has the potential to improve product competitiveness through meeting customers' needs in the product life cycle. Design of open-architecture products has been proposed using the adaptable design method with open and adaptable as well as standard interfaces. Effective tools are required for engineers to apply the concept and approaches of the adaptable design in their daily design processes. This research proposes an optimization method of the adaptable design for open-architecture products. Mathematical models and algorithms considering both adaptability and openness have been developed to identify an optimal design of the adaptable product configuration considering the existing modules and products. An integrated system framework and optimization methods have been implemented as a cyber-enabled tool for the adaptable design of open-architecture products to enable users and vendors to participate in the product development processes using open, adaptable, and standard interfaces. Design of an industrial product was carried out to verify the proposed methods and tools. The system usability, effectiveness, and efficiency were also evaluated. [ABSTRACT FROM AUTHOR]

A novel micro-coordinate measurement machine (micro-CMM) is introduced as a viable device to be used with high precision and high accuracy measurement of part dimensions in micron scale. This design considers eliminating Abbé error, and is intended to achieve submicron accuracy for a work envelope of at least (100 × 100 × 100) mm. In this study, a prototype of the new micro-CMM was built; a mathematical measuring model to explicitly define the coordinate of the probe in x, y and z directions have been represented. An algorithm to find the workspace was implemented. The error model of the machine was created and the effect of structural errors on probe position was studied analytically. The significance of each geometric parameter was studied in order to minimize the measuring error and achieve the best machine design. Finally, the results of the analytical error model were confirmed through a Monte Carlo analysis. Moreover, the real measurements of the micro-CMM were compared with the error model. [ABSTRACT FROM AUTHOR]