Comparative Characteristics of Ductile Iron and Austempered Ductile Iron Modeled by Neural Network.

Borislav Savkovic,Dragan Rodic,Nedeljko Ducic,Pavel Kovac,Branko Strbac,Branislav Dudic,Michal Gregus

doi:10.3390/ma12182864

Borislav Savkovic, Dragan Rodic + Show 5 more

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https://doi.org/10.3390/ma12182864

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Abstract

Experimental research of cutting force components during dry face milling operations are presented in the paper. The study was provided when milling of ductile cast iron alloyed with copper and its austempered ductile iron after the proper austempering process. In the study, virtual instrumentation designed for cutting forces components monitoring was used. During the research, orthogonal cutting forces components versus time were monitored and relationship of cutting forces components versus speed, feed and depth of cut were determined by artificial neural network and response surface methodology. An analysis was made regarding the consistency of the measured cutting forces and the values obtained from the model supported by an artificial neural network for the investigated interval of the cutting regime. Based on the results, an analysis of the feasibility of the application of austempered ductile iron in the industrial sector with the aspect of machinability as well as the application of the models based on artificial intelligence, was given. At the end of the presentation, the influence of the aforementioned cutting regimes on cutting force components is presented as well.

Highlights

The development of modern machining certainly cannot be viewed without affecting the economic and ecological indicators of production
For trials, trials,This provides sufficient methodology of thesavings three factorial designs of thematerial experiment methodology in addition in workpiece and time for provides aa sufficient reliable model between input and output parameters of the cutting process. That this methodology addition to making savings in the tool, workpiece material and time for trials, provides a sufficient reliable model between input and output parameters of the cutting process. That this methodology is good good model enough can be seen seen in literary literary studiesof that dealt with the creation creation ofmethodology appropriate reliable between input and output parameters thedealt cutting process
That this is enough can be in studies that with the of appropriate regression models in the processes of material removal. In addition to these simpler models, is good enough can be seen in literary studies that dealt with the creation of appropriate regression models in the processes of material removal [13,14]

Summary

Introduction

The development of modern machining certainly cannot be viewed without affecting the economic and ecological indicators of production. Implementation and development of sustainable production processes like dry machining or minimum quantity lubrication machining, is certainly interesting for research [1,2,3,4]. Application of dry or partially dry machining, requires measures to control the cutting fluid, switch the chip and regulate the adhesion between the tool and workpiece material [5]. In addition to the investigation of dry processing, further development directions have been taken to investigate difficult to cut materials and to measure their output characteristics during the chip removal process. This paper is discussed on cutting forces and surface roughness [6], as well as tool wear [7,8]. A wear test of the diamond-coated tool is in this study [9]

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