Micro engraving on 316L stainless steel orthopedic implant using fiber laser

Pattanayak, Suvranshu; Sahoo, Susanta Kumar

doi:10.1016/j.yofte.2021.102479

Cited by 18 publications

(9 citation statements)

References 27 publications

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“…In recent years, as witnessed in a number of publications, stainless steel (SS) has been widely used as a metallic biomaterial-i.e., as a significant component of biomedical implements (i.e., dental extraction forceps, thoracic retractors), treatments for orthopedic, dental, and cardiovascular implants [1][2][3][4][5][6][7][8][9][10]. However, SS implants are the most common use for bone fracture fixation [1].…”

Section: Introductionmentioning

confidence: 99%

“…However, SS implants are the most common use for bone fracture fixation [1]. SS materials are used for these applications because of their good strength, corrosion resistance, and good biocompatibility [2,4,9,10]. The very important aspect is the cost of SS materials, the lower price in comparison to titanium alloy-based implants, for example, makes it still competitive [9].…”

Section: Introductionmentioning

confidence: 99%

“…SS materials are used for these applications because of their good strength, corrosion resistance, and good biocompatibility [2,4,9,10]. The very important aspect is the cost of SS materials, the lower price in comparison to titanium alloy-based implants, for example, makes it still competitive [9]. The corrosion resistance of this material is due to the formation of a thin oxide film on the surface (of approximately a few nanometers) [11].…”

Section: Introductionmentioning

confidence: 99%

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Spectroscopic Investigations of 316L Stainless Steel under Simulated Inflammatory Conditions for Implant Applications: The Effect of Tryptophan as Corrosion Inhibitor/Hydrophobicity Marker

et al. 2021

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In this paper, the conformational changes of tryptophan (Trp) on the corroded 316 L stainless steel (SS) surface obtained under controlled simulated inflammatory conditions have been studied by Raman (RS) and Fourier-transform infrared (FT-IR) spectroscopy methods. The corrosion behavior and protective efficiency of the investigated samples were performed using the potentiodynamic polarization (PDP) technique in phosphate-buffered saline (PBS) solution acidified to pH 3.0 at 37 °C in the presence and absence of 10−2 M Trp, with different immersion times (2 h and 24 h). The amino acid is adsorbed onto the corroded SS surface mainly through the lone electron pair of the nitrogen atom of the indole ring, which adopts a more/less tilted orientation, and the protonated amine group. The visible differences in the intensity of the Fermi doublet upon adsorption of Trp onto the corroded SS surface, which is a sensitive marker of the local environment, suggested that a stronger hydrophobic environment is observed. This may result in an improvement of the corrosion resistance, after 2 h than 24 h of exposure time. The electrochemical results confirm this statement—the inhibition efficiency of Trp, acting as a mixed-type inhibitor, is made drastically higher after a short period of immersion.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spectroscopic Investigations of 316L Stainless Steel under Simulated Inflammatory Conditions for Implant Applications: The Effect of Tryptophan as Corrosion Inhibitor/Hydrophobicity Marker

et al. 2021

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“…The steps involve during the multi-performance investigation of hole quality attributes through the GRA approach are discussed here. 24–27…”

Section: Discussionmentioning

confidence: 99%

“…The biological neural network system’s concept is utilized for developing the ANN system. 26,27 Nodes, edges, and hidden layers are the essential components of an ANN model. The data (input–output) processing work is executed by the neurons.…”

Section: Discussionmentioning

confidence: 99%

CFRP composite drilling through electrical discharge machining using aluminum as fixture plate

Pattanayak

Sahoo

2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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Recent developments in manufacturing require holes on composite materials, especially on the carbon fiber reinforced polymer (CFRP) with smooth hole periphery, low delamination, burr formation, taper, better circularity, and a high processing speed. Its non-conductive surface (epoxy layering) limits its machining through electrical discharge machining (EDM). To overcome this limitation, an aluminum fixture has been designed to guide the copper electrode of EDM for producing holes on a CFRP sheet of 1 mm thickness at low machining complexity, cost, time, delamination, burr in hole periphery and without affecting the material’s surface quality and performance. Even components with high geometrical complexity can also be drilled through this approach. Here, a multi-quality analysis called grey relational analysis is developed for examining the hole quality attributes, considering peak current, pulse on and off time, and flushing pressure as input parameters. This approach points out the optimum factor level setting and critical parameters (pulse-on time and peak current) that regulate the hole attributes (entrance and exit diameter, circularity, taper, material removal, and tool wear rate). An artificial neural network model has been designed and trained through experimental data sets. This model can also be adopted during the determination of hole quality attributes when the parameter settings are beyond a defined boundary, as the regression analysis value is very close to 1, and model performance is 4.99e-10. Peak current = 4 A, pulse-on time = 25 µs, pulse-off time=25 µs, and flushing pressure = 0.6 MPa were the optimum drilling parameters. In the initial hole, average burr length is 391.75 μm, and delamination of 539.3 μm is noticed. But burr formation is very negligible with delamination of 350.7 μm being observed with uniform circularity (0.979), low taper angle (−0.81354°), and TWR (0.000069 g/min) under optimum drilling conditions through this drilling approach.

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A methodology for performance prediction: Hydrodynamic investigation of spiral grooved thrust bearing

Mishra

Behera

2023

Lubrication Science

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This paper presents the design and numerical optimization of oil‐lubricated spiral grooved thrust bearing (SGTB) for its application at high speed and axial loading conditions. A numerical model is developed using nonlinear incompressible Reynold's equation and is solved using the finite volume method (FVM) to determine the static characteristics over the bearing surface. Further, the influence of groove parameters such as spiral angle, groove angle, film thickness ratio, number of grooves and speed on the static characteristics of the bearing has been investigated. The result shows that the designed oil‐lubricated SGTB can operate at high‐speed conditions and withstand high axial load. Further, the characteristic data sets acquired from the numerical analysis are trained using an artificial neural network (ANN), and their performance is evaluated through the computation of the regression coefficient. Then adaptive neuro‐fuzzy interface system (ANFIS) surface plot is obtained to determine the optimum bearing parameters.

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Micro engraving on 316L stainless steel orthopedic implant using fiber laser

Cited by 18 publications

References 27 publications

Spectroscopic Investigations of 316L Stainless Steel under Simulated Inflammatory Conditions for Implant Applications: The Effect of Tryptophan as Corrosion Inhibitor/Hydrophobicity Marker

Spectroscopic Investigations of 316L Stainless Steel under Simulated Inflammatory Conditions for Implant Applications: The Effect of Tryptophan as Corrosion Inhibitor/Hydrophobicity Marker

CFRP composite drilling through electrical discharge machining using aluminum as fixture plate

A methodology for performance prediction: Hydrodynamic investigation of spiral grooved thrust bearing

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