Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques

Ruzzi, Rodrigo de Souza; Silva, Leonardo Rosa Ribeiro da; Silva, Rosemar Batista da; Silva, Washington Martins da; Bianchi, Eduardo Carlos

doi:10.1016/j.triboint.2019.105962

Cited by 28 publications

(6 citation statements)

References 21 publications

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“…Most significant interactions correspond to (GS) with all the other variables. As a general trend, in grinding processes kurtosis is more related to grain size than to the cutting conditions [41]. In this work, (Rku) decreases with grain size.…”

Section: Discussion and Resultsmentioning

confidence: 49%

Modeling of Surface Roughness in Honing Processes by Using Fuzzy Artificial Neural Networks

Buj-Corral

Sender

Luis-Pérez

2023

JMMP

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Honing processes are abrasive machining processes which are commonly employed to improve the surface of manufactured parts such as hydraulic or combustion engine cylinders. These processes can be employed to obtain a cross-hatched pattern on the internal surfaces of cylinders. In this present study, fuzzy artificial neural networks are employed for modeling surface roughness parameters obtained in finishing honing operations. As a general trend, main factors influencing roughness parameters are grain size and pressure. Mean spacing between profile peaks at the mean line parameter, on the contrary, depends mainly on tangential and linear velocity. Grain Size of 30 and pressure of 600 N/cm2 lead to the highest values of core roughness (Rk) and reduced valley depth (Rvk), which were 1.741 µm and 0.884 µm, respectively. On the other hand, the maximum peak-to-valley roughness parameter (Rz) so obtained was 4.44 µm, which is close to the maximum value of 4.47 µm. On the other hand, values of the grain size equal to 14 and density equal to 20, along with pressure 600 N/cm2 and both tangential and linear speed of 20 m/min and 40 m/min, respectively, lead to the minimum values of core roughness, reduced peak height (Rpk), reduced valley depth and maximum peak-to-valley height of the profile within a sampling length, which were, respectively, 0.141 µm, 0.065 µm, 0.142 µm, and 0.584 µm.

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Section: Discussion and Resultsmentioning

confidence: 49%

Modeling of Surface Roughness in Honing Processes by Using Fuzzy Artificial Neural Networks

Buj-Corral

Sender

Luis-Pérez

2023

JMMP

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“…Souza [49] , Sato [50] 和 Ruzzi [51] 等采用轮廓仪对仿形之后的台阶进行测量, 得到了砂轮的磨削比. Choudhary [52] 等通过触针检测法得到了砂轮轮廓并分析了砂轮磨削过程的磨损形式.…”

Section: F O R R E V I E W O N L Yunclassified

Research on grinding wheel wear measurement methods: Current status and future perspectives

LI,

BAO,

WANG

et al. 2024

Sci. Sin.-Tech.

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“…These events usually occur due to the deficiency of the cooling-lubrication conditions in cooling and/or lubricating the system. In other words, the surfaces that present the most significant amount of these defects result from tests performed with unfavorable tribological conditions [31,43]. Majumdar et al [44] also point out that processes with better cooling and lubricating properties keep the abrasive grits sharpened for longer, resulting in a machined surface with a better surface texture with fewer defects.…”

Section: Images Of the Ground Surfacesmentioning

confidence: 99%

Improvements of the MQL Cooling-Lubrication Condition by the Addition of Multilayer Graphene Platelets in Peripheral Grinding of SAE 52100 Steel

et al. 2021

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In most grinding processes, the use of cutting fluid is required, and research has been carried out to reduce the amount of fluid used due to costs and environmental impacts. However, such a reduction of fluid can result in thermal damage to the machined component because the amount of cutting fluid may not be sufficient to lubricate and cool the system. One way of improving the cutting fluid properties is to add micro or nanoparticles of solid lubricants. This paper aims to evaluate the performance of multilayer graphene platelets dispersed in cutting fluid and applied through the technique of minimum quantity of lubrication (MQL) during the peripheral surface grinding of SAE 52100 hardened steel. In this sense, the influence of these solid particles with respect to the surface and sub-surface integrity of the machined components was analyzed, performing the roughness and microhardness measurement and analyzing the ground surfaces. The results showed that the cooling–lubrication conditions employing graphene could obtain smaller roughness values and decreases of microhardness in relation to the reference value and components with better surface texture compared to the conventional MQL technique without solid particles.

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Topographical analysis of machined surfaces after grinding with different cooling-lubrication techniques

Cited by 28 publications

References 21 publications

Modeling of Surface Roughness in Honing Processes by Using Fuzzy Artificial Neural Networks

Modeling of Surface Roughness in Honing Processes by Using Fuzzy Artificial Neural Networks

Research on grinding wheel wear measurement methods: Current status and future perspectives

Improvements of the MQL Cooling-Lubrication Condition by the Addition of Multilayer Graphene Platelets in Peripheral Grinding of SAE 52100 Steel

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