3D surface roughness evaluation of surface topography in ultrasonic vibration assisted end grinding of SiCp/Al composites

2019 ◽  
Vol 15 (3) ◽  
pp. 290
Author(s):  
Li Zhou ◽  
Ming Zhou ◽  
Xiong Han ◽  
Jin Zhou
Keyword(s):  
Surface Roughness ◽  
Surface Topography ◽  
Ultrasonic Vibration ◽  
3D Surface ◽  
3D Surface Roughness ◽  
Roughness Evaluation

scholarly journals Minimization Method for 3D Surface Roughness Evaluation Area

Machines ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 192
Author(s):  
Viktor Molnár
Keyword(s):  
Surface Roughness ◽  
Surface Area ◽  
Roughness Parameter ◽  
Industrial Applications ◽  
Minimization Method ◽  
3D Surface ◽  
3D Surface Roughness ◽  
Roughness Evaluation ◽  
Parameter Values ◽  
The Relationship

3D surface roughness measurement is still a less mature procedure than its 2D version. The size of the evaluation area is not as standardized as the measurement length in the 2D version. The purpose of this study is to introduce a method for minimizing the evaluated surface area. This could help industrial applications in minimizing the time and cost of measurements. Machining experiments (hard turning and infeed grinding) and surface roughness measurements were carried out for automotive industrial parts to demonstrate the introduced method. Some frequently used roughness parameters were analyzed. Basic statistical calculations were applied to analyze the relationship between the surface area and the roughness parameter values and regression analyses were applied to validate the results in case of the applied technological data. The main finding of the study is that minimum evaluation areas can be clearly designated and, depending on the different roughness parameter–procedure version, different evaluation sizes (Sa: 1.3 × 1.3 mm; Sq: 1.4 × 1.4 mm; Ssk and Sku: 2 × 2 m; Sp and Sv: 1.7 × 1.7 mm) are recommended.

Generation mechanism modeling of surface topography in tangential ultrasonic vibration-assisted grinding with green silicon carbide abrasive wheel

2021 ◽  
pp. 095440542110406
Author(s):  
Yutong Qiu ◽  
Jingfei Yin ◽  
Yang Cao ◽  
Wenfeng Ding
Keyword(s):  
Surface Roughness ◽  
Surface Topography ◽  
Ultrasonic Vibration ◽  
Generation Mechanism ◽  
Surface Generation ◽  
Depth Of Cut ◽  
Abrasive Wheel ◽  
Grinding Parameters ◽  
Conventional Grinding ◽  
Ultrasonic Vibration Assisted Grinding

Tangential ultrasonic vibration-assisted grinding (TUAG) has a wide prospect in machining difficult-to-machine materials. However, the surface generation mechanism in TUAG is not fully recovered. This study proposes an analytical model of the surface topography produced by TUAG. Based on the model, the surface topography and roughness are predicted and experimentally verified. In addition, the influence of the grinding parameters on the surface topography is analyzed. The predicted surface topography well coincides with experimental measurements, and the prediction error in surface roughness Ra by the proposed model is less than 5%. Compared with conventional grinding, TUAG produces a surface with more uniform scratches and surface roughness Ra was reduced by up to 27% with the proper parameters. However, the improvement of surface roughness in TUAG is weakened when grinding speed or depth of cut increases. Moreover, the influence of the ultrasonic vibration amplitude on the surface roughness is not monotonous. With the grinding parameters selected in this study, TUAG with an ultrasonic amplitude of 7.5 μm produces the minimum surface roughness.

Magnetic field assisted finishing process for super-finished Ti alloy implant and its 3D surface characterization

2018 ◽  
Vol 1 (2) ◽  
pp. 154-169 ◽  
Author(s):  
Anwesa Barman ◽  
Manas Das
Keyword(s):  
Magnetic Field ◽  
Surface Roughness ◽  
Titanium Alloy ◽  
Process Parameter ◽  
Optimum Process ◽  
Roughness Parameters ◽  
Optimum Process Parameter ◽  
Joint Implant ◽  
3D Surface ◽  
3D Surface Roughness

Titanium alloy is used in medical industries due to its biocompatibility. Requirement of implant’s surface roughness and surface topography depends mainly upon its application. In the present study, application of titanium alloy is considered as femoral knee joint implant. The capability of magnetic field assisted finishing (MFAF) process and the polishing tool to provide implant worthy surface is analyzed here. In MFAF process, magnetorheological fluid mixed with abrasive powder in acidic base medium is used as the finishing medium. Characterization of the finished surface is carried out by analyzing 3D surface roughness parameters. The selected 3D surface parameters ( Sa, Spk, Sk and Svk) are considered due to their importance concerning load-bearing articulating surface of knee joint implant. Statistical design of experiment is used for experimental study and subsequently process parameters are optimized. From experimental investigation, the values of Sa, Spk, Sk and Svk are obtained as 11.32 nm, 15.82 nm, 6.51 nm and 41.15 nm, respectively, at optimum process parameter condition. The optimum process parameter values are 901 rpm of the tool, 0.60-mm working gap and 4.30 hrs of finishing time. The obtained values of 3D surface roughness parameters are in the nanometer range and the surface topography will render better wear properties, performance and longer implant life. Further confirmation experiments support the optimized values. The effect of individual process parameter on output responses is also analyzed.

EVALUATION OF SURFACE ROUGHNESS PRODUCED BY NANOCUTTING COPPER STRUCTURE USING A LEAST SQUARE MEAN METHOD

2019 ◽  
Vol 27 (01) ◽  
pp. 1950081 ◽  
Author(s):  
CHUNHUI JI ◽  
SHUANGQIU SUN ◽  
BIN LIN ◽  
TIANYI SUI
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Least Square ◽  
Depth Of Cut ◽  
Real Surface ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Surface Roughness Parameters ◽  
3D Surface ◽  
3D Surface Roughness

This work performed molecular dynamic simulations to study the 2D profile and 3D surface topography in the nanometric cutting process. The least square mean method was used to model the evaluation criteria for the surface roughness at the nanometric scale. The result showed that the cutting speed was the most important factor influencing the spacing between the peaks, the sharpness of the peaks, and the randomness of the profile. The plastic deformation degree of the machined surface at the nanometric scale was significantly influenced by the cutting speed and depth of cut. The 2D and 3D surface roughness parameters exhibited a similar variation tendency, and the parameters Ra and Rq tended to increase gradually with an increase in the cutting speed and a decrease in the depth of cut. Finally, it is concluded that at the nanometric scale, the 3D surface roughness parameters could more accurately reflect the real surface characteristics than the 2D parameters.

scholarly journals Theoretical Analysis of Spacing Parameters of Anisotropic 3D Surface Roughness

2017 ◽  
Vol 54 (2) ◽  
pp. 55-63 ◽  
Author(s):  
J. Rudzitis ◽  
N. Bulaha ◽  
J. Lungevics ◽  
O. Linins ◽  
K. Berzins
Keyword(s):  
Surface Roughness ◽  
Aspect Ratio ◽  
Longitudinal Direction ◽  
Anisotropy Coefficient ◽  
Anisotropic Surface ◽  
Measuring Devices ◽  
3D Surface ◽  
3D Surface Roughness ◽  
The Mean ◽  
Iso 25178

Abstract The authors of the research have analysed spacing parameters of anisotropic 3D surface roughness crosswise to machining (friction) traces RSm1 and lengthwise to machining (friction) traces RSm2. The main issue arises from the RSm2 values being limited by values of sampling length l in the measuring devices; however, on many occasions RSm2 values can exceed l values. Therefore, the mean spacing values of profile irregularities in the longitudinal direction in many cases are not reliable and they should be determined by another method. Theoretically, it is proved that anisotropic surface roughness anisotropy coefficient c=RSm1/RSm2 equals texture aspect ratio Str, which is determined by surface texture standard EN ISO 25178-2. This allows using parameter Str to determine mean spacing of profile irregularities and estimate roughness anisotropy.

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