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Development of a methodology for the extension and deflection-based calibration of an axis-position sensitive process force model

Development of a methodology for the extension and deflection-based calibration of an axis-position sensitive process force model
开发一种用于轴位置敏感过程力模型的延伸和基于偏转校准的方法
批准号:
403392440
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:
Research Grants
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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英文摘要
Process simulations enable an improved design of milling processes in order to achieve the required workpiece quality and high productivity. For example, geometric physically-based process simulations are used to predict the resulting surface quality and avoid chatter vibrations. These simulations use models of the compliance of the production system and the process forces. The empirical calibration of the cutting force models is performed using various optimization techniques, such as evolutionary algorithms, on the basis of force measurements for the analyzed combination of material and tool. The parameterization of a force model is ambiguous, as different parameter value combinations can lead to a comparably good modeling of the process forces. However, these different calibrations can result in the prediction of different deflections when simulating vibrations. Furthermore, the dynamometers used for force measurement limit the range of process parameter values which can be used in the investigations due to their transfer behavior and compliance.In this project, a new methodology for the parameterization of process force models will be developed. By taking into account tool deflections measured in the process, the unambiguous determination of process force coefficients will be enabled. Based on the physical interactions between the tool deflections and the exciting process forces, it is possible to draw conclusions from the deflections to the process forces, considering the known compliance of the system. After an initial parameterization based on force measurements for a material-tool combination, the parameter optimization should then be carried out based on deflection measurements. In contrast to force measurements, these are performed contact-free using, e.g., eddy current sensors and have no influence on the process behavior.To ensure sufficient prediction accuracy for the simulation of milling processes with tools with spherical form elements, an extended force model is to be developed. Based on the cutting force model according to Kienzle, both, the tool orientation and the varying engagement conditions along the cutting edge will be taken into account. Furthermore, investigations on the transferability of the model calibration to other materials (using steel and aluminum materials as examples) and tools are planned. The new methodology for calibrating the extended force model based on measured deflections is expected to achieve an unambiguous prediction of process forces and tool deflections and an extended range of validity of the models.
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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:
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:
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:
国内基金
海外基金
基于成份法的致洪暴雨过程组织化深厚湿对流机理研究