An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish

Hamdan, Ahmad; Sarhan, Ahmed A.D.; Hamdi, M.

doi:10.1007/s00170-011-3392-5

Cited by 124 publications

(59 citation statements)

References 23 publications

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“…This study showed feed rate as the most prominent factor influencing cutting force and surface roughness, moreover, lower values of feed rate and depth of cut were recommended to achieve minimum machining forces and better surface roughness [5].…”

Section: Introductionmentioning

confidence: 92%

Effects of cutting parameters on surface roughness and hardness in milling of AISI 304 steel

González

Pérez‐Rodríguez

Quesada-Estrada

et al. 2018

DYNA

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This paper presents an experimental study in dry milling of austenitic AISI 304 stainless steel with hard alloy milling cutters, related to the influence of feed rate and cutting speed on surface roughness and hardness. The results show that machining caused a decrease in hardness of the workpiece with respect to the initial hardness, however, the feed rate and the cutting speed did not show any statistically significant effects on the established level of confidence. The lower surface roughness values were obtained for higher cutting speeds and for smaller feed rates, being the cutting speed the factor of greater contribution. The multiple regression model was computed and the requirements were tested to state that the variables are correlated. Finally, the most appropriate cutting parameters were determined using the contour plot.Keywords: surface roughness; hardness; milling; AISI 304 steel; analysis of variance and regression.Efectos de los parámetros de corte en la rugosidad superficial y la dureza en el fresado del acero AISI 304Resumen Este trabajo presenta un estudio experimental, en el fresado en seco del acero inoxidable austenítico AISI 304 con fresas de aleación dura, relacionado con la influencia del avance y de la velocidad de corte sobre la rugosidad superficial y la dureza. Los resultados muestran que, el maquinado provocó una disminución de la dureza de la pieza con relación a la pieza inicial, no obstante, el avance y la velocidad de corte no representaron efectos estadísticamente significativos para el nivel de confianza establecido. Los menores valores de rugosidad superficial se obtuvieron para las mayores velocidades de corte y para los menores avances, siendo la velocidad de corte el factor de mayor contribución. El modelo de regresión múltiple fue calculado y se comprobaron los requisitos para plantear que las variables están correlacionadas. Finalmente, se determinaron los parámetros de corte más adecuados utilizando el gráfico de contorno.Palabras clave: rugosidad superficial; dureza; fresado; acero AISI 304; análisis de varianza y regresión.

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Section: Introductionmentioning

confidence: 92%

Effects of cutting parameters on surface roughness and hardness in milling of AISI 304 steel

González

Pérez‐Rodríguez

Quesada-Estrada

et al. 2018

DYNA

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“…The optimum cutting speed, feed, and depth of cut were 70m/min, 0.10mm/tooth, and 1.02mm, respectively. The significant improvement in surface finish (Ra < 0.4μm) eliminates the need for grinding and polishing Ahmad Hamdan et.al [14] presents an optimization method of the machining parameters in high speed machining of stainless steel using coated carbide tool to achieve minimum cutting forces and better surface roughness. The standard orthogonal array of L9 was employed in this research work and the results were analysed for the optimization process using S/N ratio response analysis and ANOVA to identify the most significant parameters affecting the cutting forces and surface roughness.…”

Section: Literature Surveymentioning

confidence: 99%

Optimization of CNC Milling Process by using Different Coatings - A Review

Shelar¹,

M²

2017

International Advanced Research Journal in Science, Engineering

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Quality and productivity play important role in today's manufacturing market. In machining operations, achieving desired surface quality features of the machined product, is really a challenging job on CNC machine. Now a day's due to very stiff and cut throat competitive market condition in manufacturing industries. The main objective of industries reveal with producing better quality product at minimum cost and increase productivity. CNC milling is most vital and common operation use for produce machine part with desire surface quality and higher productivity with less time and cost constrain. To obtain main project an attempt is made to understand the effect of machining parameters such as cutting speed (m/min), feed rate (mm/min),depth of cut (mm) that are influences on responsive output parameters such as Surface Roughness, material removal rate, diamentinal accuracy in this the flatness can be measured by using optimization philosophy. In this work three levels and three parameters are considered; and L27 orthogonal array should be carried out by using two different insert coatings. For the experimentation the wet conditions is taken. In this optimization of milling process parameters using Taguchi method in machining of AISI 316 stainless steel is carried out.

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“…En ellas se muestran la contribución de cada factor y la importancia estadística para un 95 % de confianza. En la investigación fueron significativos el avance de corte y el tiempo principal de corte, similar conclusión determinada por Galanis y Manolakos [13] y Hamdan [14]. Se realizó un análisis de regresión múltiple para describir la relación entre el desgaste del flanco, el tiempo de corte principal y el avance de corte para cada velocidad e inserto utilizados en el estudio.…”

Section: Análisis De Varianza Y De Regresión Múlti-pleunclassified

Desgaste De La Herramienta De Corte en El Torneado en Seco Del Acero Aisi 316l

Morales-Tamayo

Hernández

Reyna

et al. 2016

ings

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<p>El presente estudio experimental se centra en determinar modelos estadísticos para predecir el desgaste del flanco durante el torneado en seco del acero inoxidable AISI 316L utilizando dos insertos de corte. Los parámetros de corte fueron comparados utilizando un análisis de varianza y de regresión múltiple. Como principales resultados se obtuvieron el efecto significativo del avance de corte y el tiempo principal en el desgaste del flanco. Se hallaron los modelos estadísticos para estimar el desgaste de flanco, así como los errores absolutos medios de cada ecuación. El mejor desempeño correspondió al inserto GC2015 según las ecuaciones de regresión.</p>

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An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish

Cited by 124 publications

References 23 publications

Effects of cutting parameters on surface roughness and hardness in milling of AISI 304 steel

Effects of cutting parameters on surface roughness and hardness in milling of AISI 304 steel

Optimization of CNC Milling Process by using Different Coatings - A Review

Desgaste De La Herramienta De Corte en El Torneado en Seco Del Acero Aisi 316l

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