Effect of cutting parameters on surface roughness using orthogonal array in hard turning of AISI 1045 steel with YT5 tool

Xiao, Zeqing; Liao, Xiaoping; Long, Zhenhong; Li, Ming

doi:10.1007/s00170-016-8933-5

Cited by 23 publications

(11 citation statements)

References 11 publications

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“…The response surface methodology (RSM) and the artificial neural networks (ANN) approaches were applied to model output characteristics, and results showed that RSM and ANN models predicted very well experimental results. The effect of input variables (spindle speed, feeding speed, and cutting depth) on surface roughness during hard turning of AISI 1045 steel using YT5 tool investigated by Xiao et al 16 This study confirms that the feed rate has a great influence on surface roughness compared to the other two variables. Laouissi et al 17 also compared surface roughness, tangential cutting force, cutting power, and material removal rate (MRR) in turning of EN-GJL-250 cast iron using coated and uncoated silicon nitride ceramics.…”

Section: Introductionsupporting

confidence: 77%

An experimental study on the effect of tool geometry on tool wear and surface roughness in hard turning

Duc

Giang

Dai

et al. 2020

Advances in Mechanical Engineering

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The main purpose of this study is to investigate the influence of tool geometry (cutting edge angle, rake angle, and inclination angle) and to optimize tool wear and surface roughness in hard turning of AISI 1055 (52HRC) hardened steel by using TiN coated mixed ceramic inserts. The results show that the inclination angle is the major factor affecting the tool wear and the surface roughness in hard turning. With the increase in negative rake and inclination angles, the tool wear decreases, and the surface roughness increases. However, the surface roughness will decrease when the inclination angle increases to overpass a certain limit. This is a new and significant point in the research of the hard turning process. From this result, the large negative inclination angle (λ = −10°) should be applied to reduce the surface roughness and the tool wear simultaneously. With the optimal cutting tool angles in the research, the hard machining process is improved remarkably with decreases of surface roughness and tool wear 8.3% and 41.3%, respectively in comparison with the standard tool angles. And the proposed tool-post design approach brings an effective method to change the tool insert angles using standard tool-holders to improve hard or other difficult-to-cut materials turning quality.

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Section: Introductionsupporting

confidence: 77%

An experimental study on the effect of tool geometry on tool wear and surface roughness in hard turning

Duc

Giang

Dai

et al. 2020

Advances in Mechanical Engineering

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“…In the previous research, the author of this paper has successfully applied regression method to the field of mechanical processing (Xiao et al [14]), in which the regression model is used to establish the relationship between the cutting parameters (spindle speed, feed rate and depth of cut) and the surface roughness. Because the regression model is universal in the field of quality control and prediction, this paper extends the application of regression method to the field of sugarcane juice quality indexes.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Sugarcane Juice Quality Indexes

Xiao

Liao

Guo

2017

Journal of Food Quality

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The analysis of the quality indexes of sugarcane juice plays a vital role in the process of refining sugarcane, breeding, cultivation, and production management. The paper analyzes the dynamic laws of five quality indexes (i.e., brix, purity, polarization, sucrose content, and reducing sugar) combined with graphs over time along the course of crushing season (December-March) in Guangxi province of China. During this time, the sugarcane is in the mature stage and hypermature stage. At the beginning of December to early January, during which sugarcane is in the later stage of maturity, the nutrients are accumulating, causing brix, purity, polarization, and sucrose content increase. At the beginning of January to mid-February, due to low temperature and insufficient light, it is not conducive to accumulation of nutrients. However, there is the so-called "sugar back" phenomenon and reducing sugar rises gradually in March, leading to deterioration of the quality of sugarcane juice. The results show that timely harvest of sugarcane is beneficial for sugar making. The regression analysis results show that some of quality indexes have strong correlation between them and the regression models are extremely significant, indicating that the prediction results are ideal.

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“…The same result was validated through experimentation by, Zerti et al, [16]. Xiao et al, [17] analyzed the consequence of velocity, profundity of slash and nourish towards the exterior cease by ANOVA and regression model. It was suggested that the feed had utmost control on the surface cease compared to the depth of cut and speed.…”

mentioning

confidence: 67%

Producing Optimum Quality Grinding Spindle Using Hardened AISI 4340 Steel through a Cylindrical Grinding Process

M*¹,

Prabagaran.²,

N.M³

et al. 2019

IJITEE

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The intent of this study is to produce optimum quality grinding spindle using hardened AISI 4340 steel through the cylindrical grinding process. Primarily the AISI 4340 steel specimens are cut according to the product specification and subjected to rough machining. Then the steel specimens are subjected to a heat-treatment process to enhance the mechanical property hardness so that the specimen becomes wear-resistant. The experimental runs are planned depending on Taguchi's L27(37) array and conducted in a cylindrical grinding machine (Toyoda G32 cylindrical grinding machine). The surface roughness of the machined specimens is measured using a calibrated surface roughness tester. A prediction model is created through regression analysis for the outcome. The significance of the selected grinding factors and their levels on surface roughness is found by analysis of variance (ANOVA) and F-test and finally. An affirmation test is directed to produce the ideal components.

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Effect of cutting parameters on surface roughness using orthogonal array in hard turning of AISI 1045 steel with YT5 tool

Cited by 23 publications

References 11 publications

An experimental study on the effect of tool geometry on tool wear and surface roughness in hard turning

An experimental study on the effect of tool geometry on tool wear and surface roughness in hard turning

Analysis of Sugarcane Juice Quality Indexes

Producing Optimum Quality Grinding Spindle Using Hardened AISI 4340 Steel through a Cylindrical Grinding Process

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