Estudio del rendimiento del torneado de alta velocidad utilizando el coeficiente de dimensión volumétrica de la fuerza de corte resultante

Hernández-González, Luís Wilfredo; Pérez‐Rodríguez, Roberto; Zambrano‐Robledo, Patricia del Carmen; Siller, Héctor R.; Toscano-Reyes, H.

doi:10.3989/revmetalm.1226

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…The depth of cut (a = 0.5 mm) and feed rate (f = 0.1 mm/r) were kept constant. The cutting conditions used in the experiments were selected according to the review of the scientific literature [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. These are described in Table 3.…”

Section: Experimental Setup and Factorial Design Of The Investigationmentioning

confidence: 99%

“…Stachurski et al [22] reported an assessment of the effect of selected conditions on the value of the cutting force during turning of AISI 1045 steel with and without cutting fluid. Hernández et al [23] analyzed the resultant cutting force evolution in high speed turning of AISI 1045 steel with two coated carbide and a cermet inserts, but the authors did not include the tool flank wear. Qasim et al [24] presented an optimization of process parameters for high-speed machining of AISI 1045 steel, using several cutting tools, with the objective of reducing cutting forces and temperature.…”

Section: Introductionmentioning

confidence: 99%

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Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

González

Pérez‐Rodríguez

Zambrano‐Robledo

et al. 2018

JMMP

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The manufacturing industry aims to produce many high quality products efficiently at low cost, thereby motivating companies to use advanced manufacturing technologies. The use of high-speed machining is increasingly widespread; however, it lacks a deep-rooted knowledge base needed to facilitate implementation. In this paper, response surface methodology (RSM) has been applied to determine the optimum cutting conditions leading to minimum flank wear in high-speed dry turning on AISI 1045 steel. The mathematical models in terms of machining parameters were developed for flank wear prediction using RSM on the basis of experimental results. The high speed turning experiments were carried out with two coated carbide and a cermet inserts using AISI 1045 steel as work material at different cutting speeds and machining times. The models selected for optimization were validated through the Pareto principle. Results showed the GC4215 insert to be the most optimal option, because it did not reach the cutting tool life limit and could be used for the whole range of cutting parameters selected. To quantitatively evaluate the usefulness of the cutting tools, it was proposed the coefficient of use of the tools from the results of the contour graphs. The GC4215 insert showed 100% effectiveness, followed by the GC4225 with 98.4%, and finally, the CT5015 insert with 83%.

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Section: Experimental Setup and Factorial Design Of The Investigationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

González

Pérez‐Rodríguez

Zambrano‐Robledo

et al. 2018

JMMP

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Strategies aimed contributing to the renewable sources of energy from the university processes

Arencibia-Avila

Pérez‐Rodríguez

Trinchet-Varela

et al. 2017

2017 International Energy and Sustainability Conference (IESC)

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Modeling Cutting Forces in High-Speed Turning using Artificial Neural Networks

Hernández-González

Curra-Sosa

Pérez‐Rodríguez

et al. 2021

TecnoL.

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Cutting forces are very important variables in machining performance because they affect surface roughness, cutting tool life, and energy consumption. Reducing electrical energy consumption in manufacturing processes not only provides economic benefits to manufacturers but also improves their environmental performance. Many factors, such as cutting tool material, cutting speed, and machining time, have an impact on cutting forces and energy consumption. Recently, many studies have investigated the energy consumption of machine tools; however, only a few have examined high-speed turning of plain carbon steel. This paper seeks to analyze the effects of cutting tool materials and cutting speed on cutting forces and Specific Energy Consumption (SEC) during dry high-speed turning of AISI 1045 steel. For this purpose, cutting forces were experimentally measured and compared with estimates of predictive models developed using polynomial regression and artificial neural networks. The resulting models were evaluated based on two performance metrics: coefficient of determination and root mean square error. According to the results, the polynomial models did not reach 70 % in the representation of the variability of the data. The cutting speed and machining time associated with the highest and lowest SEC of CT5015-P10 and GC4225-P25 inserts were calculated. The lowest SEC values of these cutting tools were obtained at a medium cutting speed. Also, the SEC of the GC4225 insert was found to be higher than that of the CT5015 tool.

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Estudio del rendimiento del torneado de alta velocidad utilizando el coeficiente de dimensión volumétrica de la fuerza de corte resultante

Cited by 3 publications

References 15 publications

Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

Selection of Machining Parameters Using a Correlative Study of Cutting Tool Wear in High-Speed Turning of AISI 1045 Steel

Strategies aimed contributing to the renewable sources of energy from the university processes

Modeling Cutting Forces in High-Speed Turning using Artificial Neural Networks

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