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Determination of manufacturability and machining parameters based on a new classification of machinability.

机译:根据可加工性的新分类确定可加工性和加工参数。

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摘要

This research discusses a new representation method to represent the machinability of materials. A classification approach is suggested that classifies materials into groups according to their similarities in mechanical properties, metallurgical structure, and chemical compositions. Classified information is then represented by using numerical codes. Materials having the same code means they may have similar microstructure, chemical composition, and property. Also classified are tool wear rates and machining parameters (speed, feed, and depth of cut). The relationships among tool wear rates, machining data, and materials can be illustrated by codes, which are converted by discrete quantitative information.; This method incorporates both qualitative and quantitative information in metal cutting operations. With such a method, the data from metal cutting operations can be simplified and organized. Also revealed from the result is the inadequacy of the current material classification standard in representing the machinability of materials. With the newly proposed classification method, meaningful analysis can possibly be derived that can hardly be achieved with the original classifications standards.; In this research, a set of tool wear rate data is used as an example to build a machinability database. A simplified cutting economic problem is used as a demonstration to show the use of the database and the procedure to find the optimal cutting parameters. Finally, current problems of the proposed method are discussed together with its future extensions.
机译:这项研究讨论了一种新的表示方法,以表示材料的可加工性。建议使用一种分类方法,根据材料在机械性能,冶金结构和化学组成方面的相似性将其分类。然后使用数字代码表示分类信息。具有相同代码的材料意味着它们可能具有相似的微观结构,化学组成和性能。还分类了刀具磨损率和加工参数(速度,进给和切削深度)。刀具磨损率,加工数据和材料之间的关系可以通过代码说明,这些代码通过离散的定量信息进行转换。这种方法在金属切割操作中既包含定性信息又包含定量信息。使用这种方法,可以简化和组织来自金属切割操作的数据。结果还表明,当前的材料分类标准不足以表示材料的可加工性。使用新提出的分类方法,可能会得出有意义的分析结果,而原始的分类标准很难做到这一点。在这项研究中,以一组刀具磨损率数据为例来构建可加工性数据库。以简化的切削经济问题为例,演示了数据库的使用以及寻找最佳切削参数的过程。最后,讨论了所提出方法的当前问题及其未来的扩展。

著录项

  • 作者

    Chao, Ping Yi.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Industrial.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 162 p.
  • 总页数 162
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;
  • 关键词

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