Effect of Burnishing Process on Surface Characteristics of Particulate Reinforced Iron-Base Composites

2010 ◽  
Vol 97-101 ◽  
pp. 2062-2066
Author(s):  
Li Fa Han ◽  
Sheng Guan Qu
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Surface Characteristics ◽  
Micro Hardness ◽  
Ball Burnishing ◽  
Ceramic Ball ◽  
Iron Base ◽  
Roughness Surface ◽  
Burnishing Process ◽  
Particulate Reinforced

This paper presents an investigation on the surface characteristics of NbC particulate reinforced iron-base composites after burnished by a ceramic ball burnishing apparatus. The effect of relative parameters on surface roughness, surface micro-hardness and depth of hardening layer of composites is studied. The results show that after burnishing process the surface roughness of composites samples sharply decreases, and the surface micro-hardness increases relatively, and the depth of hardening layer accesses 0.120.16mm. Also, material’s burnishing mechanism is discussed, and the process parameters are optimized.

scholarly journals Effect of ball burnishing medium on the surface characteristics of free machining brass

2020 ◽  
Vol 4 (1) ◽  
pp. 110-116
Author(s):  
Pavana Kumara ◽  
V. Vijendra Bhat ◽  
G. K. Purohit
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Hardness ◽  
Surface Characteristics ◽  
Surface Finishing ◽  
Ball Burnishing ◽  
Finishing Process ◽  
Number Of Passes

Burnishing is becoming a promising surface finishing process to enhance materials surface properties.  The control of the various process parameters yields the desired surface characteristics in brass materials. In the current work, free machining brass specimens were burnished by Abrasive Assisted Burnishing(AAB) process and Plain Burnishing (PB) process using ball burnishing tool.  Response Surface Methodology was used to design the experiments in which Burnishing Force, Speed, Feed and Number of Passes were chosen as the process parameters. The minimum surface roughness achieved by PB and AAB was 0.1451 µm and 0.1041 µm respectively. The maximum surface hardness achieved using PB and AAB on the brass specimen was 207 HV and 248 HV respectively. The ball burnishing of free machining brass by AAB resulted in better surface characteristics as compared to the PB process.

An Investigation into Surface Roughness of Burnished Hypereutectic Al-Si Alloy Based on the Taguchi Techniques

2004 ◽  
Vol 471-472 ◽  
pp. 790-794 ◽  
Author(s):  
Li Fa Han ◽  
Wei Xia ◽  
Yuan Yuan Li ◽  
Wei Ping Chen
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Optimum Process ◽  
Light Weight ◽  
Resistant Material ◽  
Influence Of Process Parameters ◽  
Small Surface ◽  
Burnishing Process

This paper presents an investigation on the surface roughness of burnished hypereutectic Al-Si alloy ¾ a widely used light-weight and wear resistant material in automobile, electric and aircraft industries. Based on the techniques of Taguchi, an orthogonal experiment plan with the analysis of variance (ANOVA) is performed and a second-order regressive mathematical model is established. Meanwhile, the influence of process parameters on surface roughness and its mechanism are discussed. From the experiments, it is found that burnishing process is effective to decrease surface roughness of hypereutectic Al-Si alloy components, in which, all input parameters have a significant effect on the surface roughness. To achieve a small surface roughness, the optimum process parameters are recommended.

scholarly journals Investigation of a plain ball burnishing process on differently machined Aluminium EN AW 2007 surfaces

2018 ◽  
Vol 190 ◽  
pp. 11005 ◽  
Author(s):  
Marco Posdzich ◽  
Rico Stöckmann ◽  
Florian Morczinek ◽  
Matthias Putz
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Process Development ◽  
Fem Simulation ◽  
Initial Surface ◽  
Shape Deviation ◽  
Finishing Process ◽  
Path Distance ◽  
Burnishing Process

Burnishing is an effective chipless finishing process for improving workpiece properties: hardness, vibration resistance and surface quality. The application of this technology is limited to rotationally symmetrical structures of deformable metals. Because of the multiaxial characteristics, the transfer of this force controlled technology on to prismatic shapes requires a comprehensive process development. The main purpose of this paper is the characterization of a plain burnishing process on aluminium EN AW 2007 with a linear moved, spherical diamond tool. The method of design of experiments was used to investigate the influence of different machined surfaces in conjunction with process parameters: burnishing force, burnishing direction, path distance and burnishing speed. FEM simulation was utilized for strain and stress analysis. The experiments show, that unlike the process parameters the initial surface roughness as 3rd order shape deviation does not have a significant influence on the finished surface. Furthermore a completely new surface is created by the process, with properties independent from the initial surface roughness.

Enhancement in Microhardness of Free Machining Brass in Ball Burnishing

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Pavana Kumara ◽  
G.K. Purohit
Keyword(s):  
Plastic Deformation ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Texture ◽  
Ball Burnishing ◽  
Abrasive Particles ◽  
Metal Finishing ◽  
Burnishing Process ◽  
Machined Surfaces

The burnishing process is becoming an attractive way among post-machining, metal finishing techniques due to its excellent features. The burnishing process carried out with ball or roller, smooth out the protrusions due to the plastic deformation and increases the surface texture. This paper presents the results of three ball burnishing conditions carried out on cylindrical free machining brass components. Influence of abrasive particles (abrasive assisted burnishing, AAB) during burnishing is investigated and compared with the burnishing carried out without (plain burnishing, PB) and with-coolant (lubricated burnishing, LB) conditions. The response surface methodology (RSM) is used to optimize the microhardness in terms of four process parameters. Result obtained indicates that the microhardness of the pre-machined surfaces increases by 12-29 percent. The AAB results in 141.67 percent higher microhardness than the PB and 41 percent more than the LB condition.

Tribological Behavior and Surface Chemistry Characteristics of Quasicrystal Coatings

2007 ◽  
Vol 124-126 ◽  
pp. 1541-1544 ◽  
Author(s):  
Bong-Hwan Kim ◽  
Sang Mok Lee ◽  
Je Sik Shin ◽  
B.M. Moon
Keyword(s):  
Process Parameters ◽  
Tribological Behavior ◽  
Surface Characteristics ◽  
Air Plasma ◽  
Micro Hardness ◽  
Air Plasma Spraying ◽  
Porosity Level ◽  
Surface Method ◽  
Plasma Spraying Process ◽  
Spraying Process

The aim of this study was to investigate the effects of air plasma spraying process parameters on the tribological behavior and surface characteristics of quasicrystal coatings. For this purpose, the response surface method (RSM), one of the designs of experiment (DOE) was utilized to systematically investigate the combined effects of each process parameters. The RSM analysis revealed that the superior tribological performance of quasicrystal coatings was obtained by the optimized condition of specific micro-hardness and porosity level. It was specially quoted that the relatively low hardness of quasicrystal coatings caused the improvement of abrasive wear resistance during the current investigation.

Computational model for predicting the effect of process parameters on surface characteristics of mass finished components

2016 ◽  
Vol 33 (3) ◽  
Author(s):  
Venkatesh Vijayaraghavan ◽  
Sylvie Castagne
Keyword(s):  
Surface Roughness ◽  
Genetic Programming ◽  
Computational Model ◽  
Process Parameters ◽  
Design Methodology ◽  
Surface Characteristics ◽  
Surface Finishing ◽  
Programming Approach ◽  
Mass Finishing ◽  
Finishing Process

Purpose Mass finishing is a commonly employed surface finishing process for improving surface characteristics of aerospace engineering components. Optimization of surface characteristics of such critical components require an explicit computational model that can describe the surface characteristics of the finished component. This paper aims to develop an explicit computational model that can describe the surface roughness as a function of various process parameters which influence the mass finishing process. Design/methodology/approach In the present work, the authors propose to study the roughness characteristics using a combined evolutionary computing approach based on Multi-Adaptive Regression Splines (MARS) and Genetic Programming (GP) techniques. Findings The authors conducted sensitivity and parametric analysis to capture the dynamics of surface characteristics by unveiling dominant input variables and hidden non-linear relationships. It is found that by regulating the process time and media size, a greatest variation in surface finish reduction can be achieved in mass finishing process. Originality/value To the best of authors knowledge, for the first time a hybrid evolutionary computational technique has been proposed in this work. The authors combined two powerful evolutionary techniques, namely Multi-variate Adaptive Regressive Splines and Genetic Programming approach. The proposed approach was able to capture the dynamics of surface roughness with higher accuracy as comparable to that of the experiments.

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