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Processing Maps: A Status Report

机译:处理地图:状态报告

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摘要

In the last two decades, processing maps have been developed on a wide variety of materials including metals and alloys, metal matrix composites, and aluminides, and applied to optimizing hot workability of materials and for process design in bulk metal working. Processing maps consist of a superimposition of efficiency of power dissipation and the instability maps, the former revealing the "safe" domain for processing and the latter setting the limits for avoiding undesirable microstructures. The dynamic materials model, which forms the basis for processing maps, is discussed in relation to other materials models. The application of dynamical systems principles to understanding of deterministic chaos in the system will help in achieving a greater degree of microstructural control during processing. The patterns in the hot working behavior as revealed by the processing maps of several classes of alloys relevant to technology are reviewed briefly. Processing maps have also been applied to analyze several industrial problems including process optimization, product property control, and defect avoidance, and a few examples are listed. With the processing maps reaching a matured stage as an effective tool for optimizing materials workability, expert systems and artificial neural network models are being developed to aid and prompt novice engineers to design and optimize metal processing without the immediate availability of a domain expert, and the directions of research in this area are outlined.
机译:在过去的二十年中,已经针对多种材料(包括金属和合金,金属基复合材料和铝化物)绘制了加工图,并将其用于优化材料的热加工性以及用于批量金属加工中的工艺设计。加工图包括功耗效率和不稳定性图的叠加,前者显示了要处理的“安全”域,而后者则设置了避免不良微结构的限制。动态材料模型构成了处理贴图的基础,并与其他材料模型进行了讨论。动力学系统原理在理解系统中确定性混沌中的应用将有助于在加工过程中实现更大程度的微结构控制。简要回顾了与技术相关的几种合金的加工图所揭示的热加工行为模式。加工图也已用于分析一些工业问题,包括过程优化,产品性能控制和避免缺陷,并列举了一些示例。随着加工图成为优化材料可加工性的有效工具的成熟阶段,正在开发专家系统和人工神经网络模型,以帮助和提示新手工程师设计和优化金属加工,而无需立即提供领域专家。概述了该领域的研究方向。

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