OPTIMUM POWER FOR ER-70S-2 AND SS400 DISSIMILAR CDW JOINT

Q3 Engineering

Journal of Applied Engineering Science Pub Date : 2023-03-22 DOI:10.5937/jaes0-39068

D. B. Darmadi, F. Gapsari, Steamy Renergia Dirman, M. Talice

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引用次数: 0

Abstract

Selecting the right cutting tool material for the type of workpiece material plays a very important role in the machining process. The efficiency of the machining process is greatly influenced by this selection. The tables in the manuals or the manufacturer's instructions are commonly used documents for the selection of cutting tool materials. Within each of these document types, the cutting tool materials were described by different criteria. So, tool selection is considered as a multi-criteria decision-making activity. The values of the criteria for each type of cutting tool can be a number or a certain range. This study proposes a new method to rank and select cutting tools. First, a ranking of the solutions for each criterion will be performed. This ranking is based on the mean value of the criteria in each solution. Therefore, this method is called “Ranking the Solutions based on the Mean Value of Criteria - RSMVC”. The RSMVC method was proven to be a highly reliable method for ranking the cutting tool materials. These results were successfully verified when solving the problems in different cases of cutter material selection.

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er-70s-2和ss400异型CDW接头的最优功率

针对工件材料类型选择合适的刀具材料在加工过程中起着非常重要的作用。这种选择对加工过程的效率有很大的影响。使用手册中的表格或制造商的使用说明是选择刀具材料的常用文件。在每一种文档类型中，用不同的标准描述切削刀具材料。因此，工具选择被认为是一个多准则的决策活动。每种刀具的标准值可以是一个数字或一定的范围。提出了一种新的刀具排序和选择方法。首先，将对每个标准的解决方案进行排序。该排名基于每个解决方案中标准的平均值。因此，这种方法被称为“基于标准均值的解决方案排序- RSMVC”。RSMVC方法是一种可靠的刀具材料排序方法。这些结果在解决刀具材料选择的不同情况下得到了成功的验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Engineering Science Engineering-Engineering (all)

CiteScore

2.00

自引率

0.00%

发文量

122

审稿时长

12 weeks

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