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Factor analysis and yield optimization of a billet manufacturing process: A case study.

机译:方坯生产过程的因素分析和产量优化:一个案例研究。

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摘要

There is a growing demand for iron and steel productions due to their fundamental role in various sectors of industry. Thus, iron and steel manufacturing plants thrive to increase the efficiency of their productions and increase the yield. One of the main challenges facing billet manufacturers is providing raw materials especially since iron ore is not accessible to many. Thus, various types of iron scrap are utilized as the raw material. Also, specific Ferro-alloys are added to the molten iron scrap in the induction furnace in order to increase the quality of the final yield. Although there are many variables affecting the final yield in a continuous casting process, such as facility layout, thermal conditions of melting iron, casting machine, cooling and cutting procedure, this study is focused on how composition of materials can affect the tonnage of final yield.;This research focuses on investigating two major points. Firstly, the researcher investigates any possible correlation between various types of iron scrap and the percentage of final yield. Secondly, the researcher studies if there is any relationship between various levels of Ferro-alloys and the final yield percentage. Raw material profile measurements were gained over one year in the billet manufacturing factory under study, including a detailed list of all Ferro- alloys added to various types of iron scrap in induction furnace as well as the various types of iron scrap utilized with their percentage in the total used raw materials.;The researcher applied statistical analysis via multivariate regression analysis considering various types of iron scrap as multiple variables for conducting regression in the first part of the methodology and various levels of Ferro- alloys as multiple variables for doing regression analysis in the second part. In both, final yield percentage is considered as the response (dependent) variable. Statistical analysis was used to investigate, theoretically, the effect of various variables on the product pattern including yield. In addition, process analysis was done in order to figure out various statistical features of the process. The final results show that certain composition and percentage of certain iron scrap types utilized as raw materials have a significant effect on the process yield. However, the results show that the Ferro- alloys levels are not significant predictors in explaining the variations in the yield percentage.
机译:由于钢铁在各行各业中的基本作用,因此对钢铁生产的需求不断增长。因此,钢铁制造厂蒸蒸日上,以提高生产效率并提高产量。方坯制造商面临的主要挑战之一是提供原材料,特别是因为铁矿石对许多人来说并不容易获得。因此,各种类型的废铁被用作原料。另外,将特定的铁合金添加到感应炉中的铁水废料中,以提高最终产量的质量。尽管有许多变量会影响连续铸造过程中的最终产量,例如设备布局,铁水的热条件,铸造机,冷却和切割程序,但本研究的重点是材料的组成如何影响最终产量的吨位。 。;本研究着重于研究两个要点。首先,研究人员调查了各种类型的废铁与最终成品率之间的任何可能的相关性。其次,研究人员研究了各种水平的铁合金与最终产率之间是否存在任何关系。所研究的方坯生产工厂在一年多的时间里进行了原材料轮廓测量,其中包括添加到感应炉中各种类型的铁屑中的所有铁合金的详细清单,以及所使用的各种类型的铁屑的百分比。研究人员通过多元回归分析应用统计分析,在方法的第一部分中将各种类型的废铁作为多个变量进行回归分析,而将不同水平的铁合金作为多个变量进行回归分析。第二部分。在两种情况下,最终产量百分比均被视为响应(因变量)。从理论上讲,使用统计分析来研究各种变量对产品模式(包括产量)的影响。另外,进行了过程分析以找出过程的各种统计特征。最终结果表明,用作原料的某些铁屑类型的某些组成和百分比对工艺产量有重大影响。但是,结果表明,铁合金含量不是解释产率百分比变化的重要预测指标。

著录项

  • 作者

    Davoudi Kakhki, Fatemeh.;

  • 作者单位

    Morehead State University.;

  • 授予单位 Morehead State University.;
  • 学科 Industrial engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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