Effect of workpiece microstructure on tool wear behavior and surface quality during machining Inconel 718 alloy

Tian, Pengfei; He, Lijuan; Zhou, Tao; Du, Feilong; Zou, Zichuan; Zhou, Xiaorong; Jiang, Hongwan

doi:10.1016/j.triboint.2022.107814

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…Regarding the microstructure, different research explores the possibility of this kind of property influencing the surface profile. For instance, when comparing samples with different grain sizes, it was described that the material removal process was affected by this characteristic, having the grain size determining the uniformity of deformation, and possibly affecting the surface profiles [30].…”

Section: Surface Appearancementioning

confidence: 99%

Analysis of Machinability on Properties of Inconel 718 Wire and Arc Additive Manufacturing Products

Quadra Vieira dos Santos,

Kaneko,

Abe

2023

JMMP

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Wire and arc additive manufacturing (WAAM) is a metal deposition technique with a fast rate and the possibility of a high volume of deposition. Because of its fast deposition and high heat input, the manufactured products have poor surface quality. This paper presents a study on the machining of Inconel 718 wall-shaped additive manufacturing (AM) products, a necessary step for the improvement of surface quality. Considering the possibility that the characteristics of the milling processes of AM products might differ from those of traditionally manufactured parts, in this research, two types of Inconel 718 were studied and compared: one was manufactured using WAAM, and the other was an Inconel 718 rolled bar (Aerospace Material Specifications 5662). Using the testing procedure, a conventional two-flute cutting tool was used to assess their machinability. For this process, multiple passes were performed at three different heights of the samples. Considering the peculiarities of the AM products, such as their uneven surfaces, dendritic microstructures, and anisotropy, the results were analyzed. After the machining operation, the effects on the products were also studied by analyzing their surface quality. This study found a higher stability in the cutting process for the AMS 5662 samples relative to the WAAM parts with less variability in the cutting forces overall, resulting in better surface quality.

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Section: Surface Appearancementioning

confidence: 99%

Analysis of Machinability on Properties of Inconel 718 Wire and Arc Additive Manufacturing Products

Quadra Vieira dos Santos,

Kaneko,

Abe

2023

JMMP

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“…En un estudio realizado anteriormente acerca de las propiedades de la superficie del acero después de ser sometida a un proceso de corte, se establece que: en el corte de metal, la profundidad de corte, la velocidad de avance y la velocidad de corte son los principales parámetros de control [8]. Hay una estrecha relación entre el material cortado, la herramienta de corte y las fuerzas de corte y calidad de la superficie cortada [9], [10], [11], [12], [13], [14], [15], [16], [17]. Así mismo, existen muchos estudios sobre esta relación entre los parámetros de corte y la calidad del producto final [14], [15], [16], y en la gran mayoría se llega a la misma conclusión, así como lo afirman Muñoz y Cassier [7], en su estudio realizado en 1998 el cual se centran en la influencia de la velocidad de corte sobre el acabado de la superficie afirman lo siguiente: "las variables tales como la velocidad de avance, el radio de corte y la velocidad de corte pueden proporcionar un control de la calidad y el acabado de la superficie en un proceso de mecanizado determinado".…”

Section: Introductionunclassified

Integridad superficial en superficies cortadas por distintos métodos de corte

Coba-Salcedo,

Sorzano-Jimenez,

Peralta-Hernández

2024

Rev UIS ing

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Al momento de seleccionar materiales se deben tomar diferentes decisiones para elegir el material adecuado según la aplicación, las propiedades del material determinan su uso final, en este contexto cuando se selecciona un material se debe considerar los diferentes procesos a los que será sometido antes de llegar a su aplicación final, porque estos procesos pueden provocar transformaciones en las diferentes propiedades. En el caso de los aceros se debe tener en cuenta si el elemento será sometido a algún tratamiento térmico, o el método con el que será cortado, ya que hay evidencia que este influye en las propiedades superficiales y microestructura del material. Este artículo describe el estudio que se realizó para analizar la dureza, la rugosidad y la microestructura del canal de corte en un acero ASTM-A36, en estado de suministro para tomar estos valores como referencia para los procedimientos posteriores. Se plantea cortar el material con métodos de corte usados convencionalmente en la industria metalmecánica y de la construcción, y también se cortan con otros procesos no convencionales usados en menor proporción en la industria. Se realizan cortes similares para mantener la homogeneidad de la prueba y analizar las caras del corte en cada probeta de manera similar. Se realizan los cortes a las probetas con los métodos de corte convencionales (fresadora, oxicorte y tronzadora) y los no convencionales (hilo por electroerosión y plasma), manteniendo en lo posible parámetros de corte y de trabajo similares. Posteriormente se analiza la superficie cortada –canal de corte- de cada una de las probetas midiendo dureza, rugosidad y tomando imagen microscópica de su microestructura. Estos ensayos permiten cuantificar los cambios que se presentan en el material dependiendo del método de corte usado y definir según cada método que tanto puede afectar la aplicación final del material. Al obtener los resultados se realizan graficas comparativas entre todos los métodos usados y se establecen las diferencias encontradas entre ellos. A partir de estos resultados y comparaciones se generan las conclusiones del estudio.

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“…In all cutting conditions, feed rate is the most important factor affecting surface roughness. Tian et al [12] used different heat treatment processes to obtain four different microstructure of the workpiece, and established the theoretical model of surface roughness. The results show that the surface roughness varies with different microstructure.…”

Section: Introductionmentioning

confidence: 99%

“…Where m sa is the mean value of S , a m sa * is the mean value of S . a * According to equations(11) and(12) …”

mentioning

confidence: 99%

Research on surface roughness prediction in turning Inconel 718 based on Gaussian process regression

Hao¹,

Cheng²,

Fan³

2022

Phys. Scr.

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Nickel-based alloy Inconel 718 is widely used in aircraft engine industry because of its good mechanical properties. Inconel 718 is a typical difficult-to-machine material and its price is relatively expensive. Therefore, accurate prediction of Inconel 718 machined surface roughness with small sample space can improve machining efficiency, optimize process parameters and reduce machining cost. In this paper, a method is proposed to characterize the influence of cutting parameters on roughness by stablishing the corresponding relationship between the proportional hyperparameters in the multivariate kernel function and the cutting speed, cutting deep, feed rate and the rake angle of the tool. A multi input single output (MISO) multivariate Gaussian process regression（GPR）surface roughness prediction model with cutting speed, cutting depth, feed rate and tool rake angle as input variables and surface roughness as output variables is established. The model can not only output the predicted value of surface roughness, but also give the reliability of the predicted value. Experimental results show that the proportional hyperparameter has an independent adjustment function, and the influence of the process parameters characterized by the proportional hyperparameter on the surface roughness is consistent with the experimental results. The experimental results show that the average relative error of MISO multivariate GPR surface roughness prediction model proposed in this paper is 1.5%, which can accurately predict the surface roughness in small sample space.

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Effect of workpiece microstructure on tool wear behavior and surface quality during machining Inconel 718 alloy

Cited by 12 publications

References 39 publications

Analysis of Machinability on Properties of Inconel 718 Wire and Arc Additive Manufacturing Products

Analysis of Machinability on Properties of Inconel 718 Wire and Arc Additive Manufacturing Products

Integridad superficial en superficies cortadas por distintos métodos de corte

Research on surface roughness prediction in turning Inconel 718 based on Gaussian process regression

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