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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的热分解研究

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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 5um 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 pre-exponential 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。在不同的加热速率2,5和10℃/ min的60,62和64%的范围内的316L 5um原料分析了316L 5um原料的热脱脂行为。 Arhenius参数(激活能量和预指数因子)用于欧扎川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®代码建立热驱动循环的数值模拟。 Matlab®代码中的参数识别允许将仿真结果接近实验结果。

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