Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (3)
  • Open Access

    ARTICLE

    An Improved Model to Characterize Drill-String Vibrations in Rotary Drilling Applications

    Yong Wang, Hongjian Ni*, Ruihe Wang, Shubin Liu

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.5, pp. 1263-1273, 2022, DOI:10.32604/fdmp.2022.020405

    Abstract A specific model is elaborated for stick-slip and bit-bounce vibrations, which are dangerous dynamic phenomena typically encountered in the context of rotary drilling applications. Such a model takes into account two coupled degrees of freedom of drill-string vibrations. Moreover, it assumes a state-dependent time delay and a viscous damping for both the axial and torsional vibrations and relies on a sawtooth function to account for the cutting force fluctuation. In the frame of this theoretical approach, the influence of rock brittleness on the stability of the drill string is calculated via direct integration of the model equations. The results show… More >

  • Open Access

    ARTICLE

    Comparative Study on Tool Fault Diagnosis Methods Using Vibration Signals and Cutting Force Signals by Machine Learning Technique

    Suhas S. Aralikatti1, K. N. Ravikumar1, Hemantha Kumar1,*, H. Shivananda Nayaka1, V. Sugumaran2

    Structural Durability & Health Monitoring, Vol.14, No.2, pp. 127-145, 2020, DOI:10.32604/sdhm.2020.07595

    Abstract The state of cutting tool determines the quality of surface produced on the machined parts. A faulty tool produces poor surface, inaccurate geometry and non-economic production. Thus, it is necessary to monitor tool condition for a machining process to have superior quality and economic production. In the present study, fault classification of single point cutting tool for hard turning has been carried out by employing machine learning technique. Cutting force and vibration signals were acquired to monitor tool condition during machining. A set of four tooling conditions namely healthy, worn flank, broken insert and extended tool overhang have been considered… More >

  • Open Access

    ABSTRACT

    3D finite element analysis of hot ultrasonically assisted turning of modern alloys

    R. Muhammad*, A. Maurotto, M. Demiral, A. Roy and V.V. Silberschmidt

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.3, pp. 95-96, 2011, DOI:10.3970/icces.2011.019.095

    Abstract Analysis of the cutting process in machining of modern engineering materials (Ti- and Ni-based alloys), which are hard-to-cut materials, is a challenge that needs to be addressed. Machining of these alloys with conventional techniques is difficult and often results in tool failure due to the high cutting forces imposed on the tool. In a machining operation, cutting forces causes severe deformations in the proximity of the cutting edge, producing high stresses, strain, strain-rates and temperatures in the workpiece.
    Ultrasonically assisted turning (UAT) is an advanced machining process, which has shown several advantages especially in the machining of high strength… More >

Displaying 1-10 on page 1 of 3. Per Page