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Analysis and Experience using Process Modeling for Developing New and Corrective Heat Treat Schedules for Deep Case Carburizing

机译:利用流程建模的分析与经验,用于开发新型和矫正热处理时间表的深案渗碳

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Achieving deep carburized cases in large parts, i.e. depths of 2mm or more, can often be problematic. Requiring long diffusion times at temperature, unanticipated furnace power fluctuations, changes in gas supply, inaccurate probe function, and/or atmosphere changes may result in insufficient case depth. Rising energy costs make methods for calculating efficient carburization schedules more critical. Methods used for shallow case applications may not be suitable for determining deep case schedules. The same holds for changes in alloy content, where shallow case prediction errors may be inconsequential, but highly influential for deep cases. This presentation will show new methods for calculating deep case carburizing schedules, as well as methods where corrective carburization is required when insufficient case depths are initially achieved. The computational modeling technique presented is validated against experience carburizing large AISI 3310 components for the mining industry. Practical utility of such modeling for deep case carburizing applications is presented.
机译:在大零件中实现深层渗碳盒,即2mm以上的深度,通常会有问题。在温度下需要长扩散时间,意外的炉电波动,气体供应变化,不准确的探针功能和/或大气变化可能导致案例深度不足。能源成本上升使得计算有效的渗碳时间表更为关键的方法。用于浅壳应用的方法可能不适合确定深层案例调度。对于合金含量的变化,相同的保持性,其中浅层案例预测误差可能是无关紧要的,但对于深度案例而言,具有高度影响力。本演示文稿将显示用于计算深壳渗碳时间表的新方法,以及最初达到不充分的情况深度时需要校正渗碳的方法。提出的计算建模技术被验证,以防止采矿业渗碳大型AISI 3310组件的体验。提出了这种深层筛选应用这种建模的实用效用。

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