Abstract

Currently, the available evaluation methods for determining the chip breakability in the industry are mainly based on subjective visual assessment of the chip formation by an operator during machining or on chips that were collected after the tests. However, in many cases, these methods cannot give us accurate quantitative differences for evaluation of the chip breakability of similar steel grades and similar sets of machining parameters. Thus, more sensitive methods are required to obtain more detailed information. In this study, a new method for the objective assessment of chip breakability based on quantitative determination of the weight distribution of chips (WDC) was tested and applied during machining of stainless steels without Ca treatment (316L) and with Ca treatment (316L + Ca). The obtained results show great consistencies and the reliability of this method. By using the WDC method, significant quantitative differences were obtained by the evaluation of chips, which were collected during the machining process of these two similar grades of steel at various cutting parameters, while, visually, these chips look very similar. More specifically, it was found that the Ca treatment of steel can improve the chip breakability of 316L + Ca steel in 80% of cutting trials, since a fraction of small light chips (Type I) from this steel increased and a fraction of large heavy chips (Type III) decreased accordingly. Moreover, the WDCs that were obtained at different cutting parameters were determined and compared in this study. The obtained results can be used for the optimization of chip breakability of each steel at different cutting parameters. The positive effect of Ca treatment of stainless steel was discussed in this study based on consideration of the modification of different non-metallic inclusions and their effect on the chip breakability during machining.

Highlights

  • During the last six decades, steelmakers have developed a considerable amount of new steel grades with low-level impurities, which significantly improved the mechanical properties of steel

  • In the previous study [16], a quantitative method of evaluation of chip breakability, which was based on measurement of weight distribution of chips (WDC) obtained during machining of two similar stainless steels, was tested

  • The chip breakability during machining of similar steels at acceptable cutting conditions, which are chip breakability breakabilityduring duringmachining machining of similar steels at acceptable conditions, which are of similar steels at acceptable cuttingcutting conditions, which are difficult to obtain while using conventional evaluation methods

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Summary

Introduction

During the last six decades, steelmakers have developed a considerable amount of new steel grades with low-level impurities, which significantly improved the mechanical properties of steel. There are some other complex evaluation methods to determine the chip breakability, like a fuzzy rule-based system, to describe chip breakability performance [15] When it comes to the problem of the sensitive quantitative comparison of similar steel grades (such as modified steels and reference steels) or during optimization of chip breakability of steel at different cutting parameters, the results from these methods often look quite similar. In the previous study [16], a quantitative method of evaluation of chip breakability, which was based on measurement of weight distribution of chips (WDC) obtained during machining of two similar stainless steels, was tested. The present study aims to develop and test a sensitive and quantitative evaluation method that is based on measurements of the chip weights to estimate the chip breakability of different steels and comparison of obtained results with the results obtained by using the standard chip charts. The weight distributions of chips that were obtained at different cutting parameters were investigated and compared for industrial 316 stainless steels produced without and with Ca-treatment

Workpiece Materials and Cutting Tool
Conventional Evaluations of Chip Breakability
Investigation of Non-metallic
Methods
Classification
Distribution
Chip Distributions
The of the
Conclusions
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