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Study of the Thermal Decomposition for Different Feedstocks Powder Injection Moulding

机译:不同原料粉末注射成型热分解的研究

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Powder injection molding (PIM) is a suitable technology for manufacturing of complex shapes stainless with 316L stainless steel and has a great potential in many applications. In this paper, thermogravimetric analysis (TGA) is employed to analyze thermal debinding behaviour (under argon atmosphere). Feedstocks have been elaborated with a mixture of polymers composed of paraffin wax, polypropylene and stearic acid for the binder system. The thermal debinding behaviour has been analysed for 316L 5μm feedstocks with different powder volume loadings in the range 60, 62 and 64% at different heating rates 2, 5 and 10°C/min. The Arrhenius parameters (activation energy and preexponential factor) for thermal decomposition reaction estimated by Ozawa method and Kissinger method reveal a proper correlation. A kinetic model assuming a first order reaction rate is used to set up the numerical simulations of the thermal debinding cycle using MATLAB code. The parameters identification in MATLAB code permits to get simulation results close to the experimental ones.
机译:粉末注射成型(PIM)是一种合适的技术,用于制造复杂的形状不锈钢,具有316L不锈钢,在许多应用中具有很大的潜力。在本文中,采用热重分析(TGA)来分析热脱模行为(在氩气氛下)。已经阐述了原料,用由石蜡,聚丙烯和硬脂酸为粘合剂体系组成的聚合物的混合物。在不同加热速率2,5和10℃/ min的范围内为316L5μm原料分析了316L5μm原料的316L5μm原料。 Arhenius参数(激活能量和PREEXPONENTION系数)用于欧扎瓦方法和基辛格方法估计的热分解反应揭示了适当的相关性。假设第一阶反应速率的动力学模型用于使用MATLAB代码建立热驱动周期的数值模拟。 MATLAB代码中的参数标识允许获得仿真结果接近实验结果。

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