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Multi-output fuzzy inference system for modeling cutting temperature and tool life in face milling
Pavel Kovac,Dragan Rodic,Vladimir Pucovsky,Borislav Savkovic,Marin Gostimirovic 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10
This paper proposes a method for cutting parameters identification using the multi-inputs-multi-outputs fuzzy inference system(MIMO-FIS). The fuzzy inference system (FIS) was used to identify the initial values for cutting parameters (cutting speed, feed rate anddepth of cut) and flank wear using cutting temperature and tool life as outputs. The objective was to determine the influence of cuttingparameters on cutting temperature and tool life. The model for determining the cutting temperature and tool life of steel AISI 1060 wastrained (design rules) and tested by using the experimental data. The average deviation of the testing data for tool life was 11.6 %, whilethat of the cutting temperature was 3.28 %. The parameters used in these testing data were different from the data collected for the designrules. The test results showed that the proposed MIMO-FIS model can be used successfully for machinability data selection. The effect ofparameters and their interactions in machining is analyzed in detail and presented in this study.
Influence of discharge energy on machining characteristics in EDM
Marin Gostimirovic,Pavel Kovac,Milenko Sekulic,Branko Skoric 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.1
The machining characteristics of electrical discharge machining (EDM) directly depend on the discharge energy which is transformed into thermal energy in the discharge zone. The generated heat leads to high temperature, resulting in local melting and evaporation of workpiece material. However, the high temperature also impacts various physical and chemical properties of the tool and workpiece. This is why extensive knowledge of development and transformation of electrical energy into heat is of key importance in EDM. Based on the previous investigations, analytical dependence was established between the discharge energy parameters and the heat source characteristics in this paper. In addition, the thermal properties of the discharged energy were experimentally investigated and their influence on material removal rate, gap distance, surface roughness and recast layer was established. The experiments were conducted using copper electrode while varying discharge current and pulse duration. Analysis and experimental research conducted in this paper allow efficient selection of relevant parameters of discharge energy for the selection of most favorable EDM machining conditions.