This work aims to develop technical solutions that allow providing the specified parameters of the accuracy of the shape of parts in the cross-section during processing on a CNC machine. Experimental studies were performed on a screw-cutting lathe. An acoustic signal in the range from 6 to 12 kHz was used as a diagnostic sign to assess the wear of the cutting tool, since during preliminary studies, it was found that this range is most sensitive to changes in processing modes. Studies were performed at different values of wear of the cutting tool (estimated by the width of the wear chamfer). For estimating the life of a cutting tool, a neuro-fuzzy model has been developed. Using models of this class allows adjusting to specific conditions (machine, tool), and correctly evaluating the tool life. The model error for the test sample does not exceed 10%. The test results showed that using the proposed solutions makes it possible to increase the accuracy of the manufacturing of shut-off valve parts by 20-30%.

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The article discusses the issues of risk management in the road transport of petroleum product. We analyze the main risk assessment methodologies; propose to use the hierarchy analysis method to improve quantitative risk assess ment. The identification and assessment of risks are one of the key points in the development of preventive measures to reduce accidents. The use of traditional methods for risk analysis and assessment has a drawback in that they don't imply the possibility of ranking risk assessment criteria by importance depending on the specifics of the task being solved. Because of the fact that calculations are in relative units, the issue of ranking risks to critical, significant and insignificant is solved automatically.

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