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ESTIMATION TECHNIQUE OF MECHANICAL PRODUCTS QUALITY LEVEL IN DESIGN PROCESS

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The paper considers the challenges of providing mechanical systems quality at the design stages. The engineering solution choice in the design of mechanical systems has a significant impact on the product quality. It is noted that in practice a developer often resorts to an expert estimation when solving choice problems. Known methods of quality forecasting are based mainly on statistical data. This leads to limited application possibilities for these methods in practice for quality forecasting in the development process of original single-piece mechanical products with the new engineering solutions built in them. Proposed method is based on the relative qualitative and quantitative evaluation of different design options for developed products aimed at reasonable choosing of optimal engineering solution from a number of alternative ones. The final scope of proposed and considered method is quality improvement of the mechanical products being developed. A distinguishing feature of the method is determination of the main quality indicator, the basic quality indicators, and the usage of reference basic technical solution to estimate and compare development solutions. The base for qualitative assessment of options is modified expert evaluation method. Quantitative assessment of options is based on the analysis of constructive and technological parameters that influence the main quality indicator and basic quality indicators. The proposed method is examined on the example of operating mechanism gears, optical-mechanical systems and automatic gripper of a cluster fuel assembly. The proposed technique enables to increase the product development quality due to lowering the developer subjectiveness, increase of information analysis quality and the usage of staff engineering potential concerning the aspects of engineering solution choice from a number of alternative ones.  The algorithm for proposed methodology is described, its distinguishing features are highlighted, and the conclusions about advisability of this methodology application in practice are made.

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