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  Wear prediction for soft-ground tunneling tools – a new approach regarding the dominant influencing factors in the tribological system of tunneling tools

  The performance of a TBM is strongly dependent on the wear of the cutting tools. Worn tools decrease the advance rates, thus leading to increased tunneling times and project costs. Wear prediction models are thus used during the planning phase of a tunneling project. The disadvantage of commonly used wear tests, which are necessary to generate input parameters for the wear prediction models, is that the real tribological system, consisting of the tool/ground interaction, ambient medium (water, bentonite), and the load during tunneling is not considered precisely. To counteract these disadvantages, a new wear testing device has been developed that simulates the application-oriented tribological system. This device offers a unique setup to predict the wear rate of TBM tools based on the real tribological system. This work illustrates the possibilities of this newly developed testing method. The impact of machine data, soil parameters, and moisture content on the wear rate is investigated and discussed.

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