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Tool and Process Optimization for efficient Ejector Deep-Hole Drilling-Processes using Smoothed Particle Hydrodynamics (SPH)

Tool and Process Optimization for efficient Ejector Deep-Hole Drilling-Processes using Smoothed Particle Hydrodynamics (SPH)
使用平滑粒子流体动力学 (SPH) 优化工具和工艺,实现高效喷射器深孔钻削工艺
批准号:
439917965
负责人:
Professor Dr.-Ing. Dirk Biermann
金额:
$0.0万
依托单位国家:
德国
项目类别:
Priority Programmes
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

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中文摘要
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英文摘要
Ejector deep hole drilling allows to exploit the process-typical advantages of deep hole drilling, such as high metal removal rates as well as low straightness deviations, on conventional machining centers for industrial applications at relatively low cost, because no expensive special machines with complex sealing for the cooling lubricant supply are required for the process. Another advantages of ejector deep hole drilling lie in the excellent surface qualities and bore quality that can be achieved compared to conventional drilling methods. The guide pads on the drill head generate a smoothing of the roughness peaks on the bore surface by plastic deformation of the bore wall, so that typically no reworking of the bores, e.g. by reaming, is required. In addition, the removal of chips through the inner tube of the tool prevents damage to the bore wall produced. Ejector deep hole drilling offers great potential for making the use of cooling lubricant (coolant) more energy- and resource-efficient with regard to the main functions of cooling, lubricating, and transporting chips, thus contributing to an increase in efficiency and a shortening of the process chain in production. In the first stage of the research project, the grid-free simulation approach of Smoothed Particle Hydrodynamics (SPH) in combination with current experimental and measurement analysis methods was used to develop an in-depth understanding of the interactions of the flow conditions and to implement it in a physical simulation model. The results of the successful interdisciplinary collaboration of the research institutes have already been published in various scientific publications. An essential goal of the second phase of this project is to extend the simulation model by a parallel Incompressible Smoothed Particle Hydrodynamics (ISPH) algorithm in order to realize a coupling with the thermal tool and workpiece loads. With the aid of the simulation model and a static load analysis based on the tool load determined experimentally during the drilling process, the design of the drill head is adapted to allow an improved coolant supply to the cutting edge and the occurrence of the ejector effect at lower coolant volume flows, as well as to improve chip removal. Finally, the flow-optimized ejector tools are additively manufactured and used.
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Fundamental investigations on the effect of structured functional surfaces of milling tools regarding process dynamics
  • 批准号:
    426468684
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2020
  • 负责人:
    Professor Dr.-Ing. Dirk Biermann
  • 依托单位:
Fundamental investigations on the development of a single-phase CO2-lubricant solution to support deep-hole drilling processes for difficult to cut materials by using a cryogenic CO2 snow-lubricant-jet
  • 批准号:
    452408713
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2020
  • 负责人:
    Professor Dr.-Ing. Dirk Biermann
  • 依托单位:
Fundamental analysis of surface finishing using flexible foams coated with diamonds
  • 批准号:
    423137098
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2019
  • 负责人:
    Professor Dr.-Ing. Dirk Biermann
  • 依托单位:
Simulation-based design of high performance internal grinding processes
  • 批准号:
    403857741
  • 项目类别:
    Research Grants (Transfer Project)
  • 资助金额:
    $0.0万
  • 财政年份:
    2019
  • 负责人:
    Professor Dr.-Ing. Dirk Biermann
  • 依托单位:
国内基金
海外基金
Neural Process模型的多样化高保真技术研究
磁转动超新星爆发中weak r-process的关键核反应
多臂Bandit process中的Bayes非参数方法
  • 批准号:
    71771089
  • 项目类别:
    面上项目
  • 资助金额:
    48.0万元
  • 批准年份:
    2017
  • 负责人:
    吴贤毅
  • 依托单位: