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PROCESS OPTIMIZATION FOR AN ENERGY EFFICIENT HEAT TREATMENT OF ADI

机译:ADI的节能热处理过程优化

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Austempered ductile iron (ADI) materials show a good combination of mechanical properties, with high tensile strength levels (800 - 1600 MPa) and an elongation at fracture of up to 10%. Due to its high fracture toughness as well as high fatigue resistance, ADI is a very attractive material group for applications under cyclic loads. However, the material properties are very sensitive to the applied process conditions during heat treatment. The basis for a substantial increase in the application of ADI materials in the industry requires the establishment of a predictable and robust process design. Here, an integrated process simulation of the heat treatment process coupled to required information about the as-cast quality of the component would aid in understanding process dependencies and defining a robust process window. For the austenitization step, the simulation can be used to determine the needed treatment times and temperatures. In the process simulation software MAGMA~5, a new fast and efficient algorithm for heat exchange between thermally coupled diffusely radiating interfaces has been implemented and can be used for heat treatment simulation. The accuracy and computational performance of this new radiation model for the heat treatment of ADI is illustrated here for a real industrial suspension part. The steering knuckle is heated in a typical heat treatment box. Surface-to-surface radiation between the parts and with the surrounding furnace results in inhomogeneous temperature distributions. Integrated capabilities to perform virtual experiments and automatic optimization are used to determine optimal process conditions to meet both the quality requirements and the minimum required treatment time during austenitization.
机译:奥氏体型球墨铸铁(ADI)材料显示出机械性能的良好组合,具有高抗拉强度水平(800-1600MPa)和骨折伸长率,高达10%。由于其高骨折韧性以及高疲劳性耐疲劳,ADI是在循环负载下应用的非常有吸引力的材料组。然而,材料特性对热处理期间施加的工艺条件非常敏感。在业内ADI材料应用的大幅增加的基础需要建立可预测和强大的过程设计。这里,热处理过程的集成过程模拟耦合到关于组件的AS铸造质量的所需信息将有助于了解处理依赖性并定义强大的过程窗口。对于奥氏体化步骤,模拟可用于确定所需的处理时间和温度。在处理仿真软件岩浆〜5中,已经实现了一种新的快速高效的热交换炼热算法,其已经实现并且可用于热处理模拟。此处示出了这种新的ADI热处理辐射模型的准确性和计算性能,用于真正的工业悬架部分。转向节在典型的热处理箱中加热。部件与周围炉之间的表面到表面辐射导致不均匀的温度分布。用于执行虚拟实验和自动优化的集成能力用于确定最佳过程条件,以满足奥氏体化期间的质量要求和最低要求的治疗时间。

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