Mansur Akbari


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Akbari

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Mansur

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Publications 1 - 10 of 12
  • Akbari, Mansur; Smolenicki, Darko; Roelofs, Hans; et al. (2019)
    The International Journal of Advanced Manufacturing Technology
    Graphite inclusions in steel are easing chip breakage and act as in situ lubricants. Therefore, graphitized steels are claimed to perform excellent in machining processes. They are considered as environmentally friendly alternatives to widely used Pb-alloyed steels. However, the effectiveness of graphite inclusions in different machining processes is not well understood. With the support of computer simulation techniques, a deeper understanding about chip formation and the role of internal friction (or lubrication) can be obtained. To enter into numerical analysis of material flow and chip formation, the quality of the applied constitutive law is crucial for close-to-reality simulation. In the present work, a most accurate determination of the Johnson-Cook constitutive law of partially graphitized steel 50SiB8 (hardness 214 HB) is aimed for. Johnson-Cook parameters are identified from dynamical compression tests, performed at strain rates up to 20s−1 and temperatures up to 800 °C. The material parameters are derived from two different numerical methods. The first standard method is based on minimizing the sum of squares of the differences between calculation and measurement. The parameters identified from this method are used as initial values for the second method, an inverse material modeling. The second method is based on a multi-case polynomial metamodel optimization in combination with finite element techniques. By applying inverse material modeling, the maximum discrepancy between measurement and calculation is reduced from 12% (regression with standard method) to 1%. A reliable parameter set for the Johnson-Cook model for graphitic steel 50SiB5 as input for future modeling of the chip formation is now available.
  • Kliuev, Mikhail; Florio, Kevin; Akbari, Mansur; et al. (2019)
    Journal of Manufacturing Processes
  • Akbari, Mansur (2016)
  • Akbari, Mansur; Buhl, Sebastian; Leinenbach, Christian; et al. (2016)
    Journal of Materials Processing Technology
  • Akbari, Mansur; Kliuev, Mikhail; Boos, Jens; et al. (2018)
    The International Journal of Advanced Manufacturing Technology
    Analysis of the highest temperature in the machining processes, namely the flash temperature, helps to understand the physics of the process, to improve cutting tool geometry, and to achieve high performance machining. In the present work, the interaction between cutting grain and workpiece material in grinding process is analyzed. Single diamonds are considered for machining, which operates in comparison to other measurements in the range of grinding speed. The highest temperature in the grain-material interaction and cutting forces are measured. In order to measure the flash temperature, an innovative method to measure and analyze the temperature through the diamond grain in the cutting zone by a two-color pyrometer is proposed. Furthermore, cutting forces are measured simultaneously. In order to measure the temperature in the cutting zone, an accurate connection between diamond and pyrometer fiber is required. Thus, the diamond tool holders are manufactured by electrical discharge machining (EDM) milling in deionized water. A 0.5-mm-diameter hole is drilled in each holder to connect the diamond precisely to the pyrometer fiber. Machining processes are performed with 30 μm depth of cut, cutting length of 20 mm, and cutting speed of 65 m/s on Ti6Al4V. The cutting tool is fixed, and the shape of the rotating workpiece is optimized. The diamond holder with the specific shape is designed and manufactured. Quasi-static, dynamic, modal, and harmonic response analyses are performed in order to reduce vibrations and chattering. The measured flash temperature is 1380 °C and cutting normal, tangential, and axial forces are measured.
  • Akbari, Mansur; Knapp, Wolfgang; Wegener, Konrad (2016)
    CIRP Journal of Manufacturing Science and Technology
  • Imayasu, Shinya; Rӧthlin, Matthias; Akbari, Mansur; et al. (2015)
    Proceedings of the 8th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2015
  • Akbari, Mansur; Buhl, Sebastian; Leinenbach, Christian; et al. (2012)
    Mechanics of Materials
  • Maier, Markus; Rupenyan-Vasileva, Alisa Bohos; Akbari, Mansur; et al. (2020)
    Procedia CRIP
    In turning, process parameters such as feed rate and cutting speed are normally selected by an operator and adapted depending on the process requirements. In this study, autonomous process set-up of the turning process is investigated based on Bayesian optimization and Gaussian process models. Unconstrained Bayesian optimization is compared to an implementation with added constraint with simulated machining parameters. It is shown that constraint Bayesian optimization has a better performance in the turning process set-up. The method is suitable for measurements with uncertainty and typically results in reduced number of experiments.
  • Akbari, Mansur; Buhl, Sebastian; Leinenbach, Christian; et al. (2011)
Publications 1 - 10 of 12