Investigation of TiAlN coated roller burnishing on Al-(B<sub>4</sub>C)<sub>p</sub> MMC workpiece material

Shankar, E.; Prabu, S. Balasivanandha; Kumar, T. Sampath; John, Merbin

doi:10.1080/10426914.2018.1453160

Cited by 17 publications

(4 citation statements)

References 21 publications

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“…Yuan et al emphasized that higher values of the S and D were applied to enhance the AR and VH responses [4]. Shankar et al indicated that the coated roller could be applied to decrease the AR of the burnished composite in the dry condition [5]. Nguyen et al stated that the AR of 0.071 µm and the Rockwell hardness of 52 HRC could be obtained using the optimal S, f, and D for the burnished carbon steel [6].…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of multi-roller flat burnishing process in terms of surface properties

Thai¹,

Van²,

Nguyen³

2023

Journal of Machine Engineering

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In the current investigation, two primary indicators, including the average roughness (AR) and Brinell hardness (BH) of the roller burnishing operation are enhanced using the optimal inputs (the spindle speed-S, feed rate-f, and depth of penetration-D). The performance measures are developed using the Kriging approach and optimal outcomes are generated by the Crow Search Algorithm (CSA). The optimal outcomes generated by the CSA of the S, f, and D were 832 rpm, 112 mm/min, and 0.12 mm, while the AR was reduced by 37.0% and the BH was increased by 29.9%, respectively. The optimal findings could be utilized in the practice for enhancing the burnished quality and to develop a professional system related to the roller burnishing operation. The Kriging-based AR and BH correlations could be used to present nonlinear experimental data. The optimizing technique could be utilized to deal with optimizing problems for different machining operations.

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Section: Introductionmentioning

confidence: 99%

Performance optimization of multi-roller flat burnishing process in terms of surface properties

Thai¹,

Van²,

Nguyen³

2023

Journal of Machine Engineering

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“…The authors stated that the S and D were significant parameters. Shankar et al indicated that the minimum SR and maximum SH of the burnished composite were obtained at the dry condition, coated roller, and the NP of 3 [9]. The SR, SH, and TL models were proposed in terms of the S, f, and D for the burnished carbon steel, while the optimal values SR, SH, and TL were 0.071 µm, 52.0 HRC, and 131.0 µm respectively [10].…”

Section: Introductionmentioning

confidence: 99%

Multi-Response Optimization of the Flat Burnishing Process with a High-Stiffness Tool in terms of Surface Characteristics

2023

Teh. vjesn.

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In this work, the surface roughness (SR), surface hardness (SH), and the thickness of the affected layer (TL) of the multi-roller flat burnishing process are optimized.The parameter inputs are the tool rotational speed (S), burnishing depth (D), and feed rate (f). The flat burnishing tool having three rollers was utilized to facilitate burnishing trials. The Kriging models of performances are proposed regarding inputs.The CRITIC method and Crow Search Algorithm (CSA) were employed to select weights and optimality. The optimizing outcomes indicated that the optimal values of the S, f, and D were 912 rpm, 150 mm/min, and 0.12 mm, respectively. The improvements in the SR, SH, and TL were 33.3%, 26.9%, and 48.6%, respectively. The SR was primarily influenced by the f, followed by the D and S, respectively. The SH and TL were primarily influenced by the D, followed by the S and f, respectively. The optimal data could be applied to the practical multi-roller burnishing process to improve surface properties for flat surfaces. The Kriging models and CSA could be efficiently utilized to solve complex issues for burnishing operations and other machining processes.

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“…With a TiAlN coated tungsten carbide roller, burnishing eliminates the requirement for super finishing process following the traditional turning process to improve the surface finish of Al(B4C)p Metal Matrix Composites [19]. LPB induces deep layer of residual stress that improves fatigue and corrosion fatigue performance of friction steer welded aluminum alloy [20].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Burnishing process by Taguchi method for surface enhancement of EN31 steel

Varpe¹,

Gurnani²,

Hamilton³

2022

Surf. Topogr.: Metrol. Prop.

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Surface finish plays important role in service characteristics of an element, such as corrosion resistance, wear resistance and fatigue life. This leads to investigate surface finishing processes like polishing, buffing, lapping, burnishing etc. Burnishing is well known, effective and efficient super finishing technique which involves surface layers plastic deformation by cold working to refine surface texture and improve service life of component. Current work focuses on investigation of ball burnishing process and optimization of it on EN31 steel. Taguchi method is implemented for determination of best possible process parameters combination to decrease surface roughness and increase hardness of EN31 steel specimens. After burnishing surface roughness decreases from 0.446 to 0.089 µm and hardness increases from 179.5 to 266.5 Hv. Burnishing speed and feed are remarkable factors for decreasing surface roughness, whereas no. of tool passes and applied force are crucial for increasing hardness, according to optimization results. Validation tests are carried out with ideal levels of process parameters, confirming that the process of ball burnishing has improved the surface finish and hardness of EN31 steel.

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Investigation of TiAlN coated roller burnishing on Al-(B₄C)_p MMC workpiece material

Cited by 17 publications

References 21 publications

Performance optimization of multi-roller flat burnishing process in terms of surface properties

Performance optimization of multi-roller flat burnishing process in terms of surface properties

Multi-Response Optimization of the Flat Burnishing Process with a High-Stiffness Tool in terms of Surface Characteristics

Optimization of Burnishing process by Taguchi method for surface enhancement of EN31 steel

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Investigation of TiAlN coated roller burnishing on Al-(B4C)p MMC workpiece material

Cited by 17 publications

References 21 publications

Performance optimization of multi-roller flat burnishing process in terms of surface properties

Performance optimization of multi-roller flat burnishing process in terms of surface properties

Multi-Response Optimization of the Flat Burnishing Process with a High-Stiffness Tool in terms of Surface Characteristics

Optimization of Burnishing process by Taguchi method for surface enhancement of EN31 steel

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Investigation of TiAlN coated roller burnishing on Al-(B₄C)_p MMC workpiece material