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Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is typically a manual and time-consuming process. Manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. A method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios.

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Transition towards circular-economy model is a must to sustain the planet resources. Under circular economy model wastewater is transformed from a waste into a resource. Therefore, a comprehensive circular economy index; the Circonomics Index, is proposed to measure circularity of wastewater industry. The component indicators of the index are linked directly to the three Rs; reduce, reuse and recycle, of circular economy. The novelty of the proposed Index is that it uses objectively constructed weights that reflect the environmental benefits of the treatment process, and the index captures the reuse and recycling efficiency of an WWTP, which reflect the specific nature of wastewater. The findings show that treatment technology is a major factor in determining the production efficiency, reuse rate and recycling performance of a WWTP. The results of using the Circonomics Index have profound implication for policy makers to speed up the process of moving to a circular economy.

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