scholarly journals Process Optimization for 100 W Nanosecond Pulsed Fiber Laser Engraving of 316L Grade Stainless Steel

2020 ◽  
Vol 4 (4) ◽  
pp. 110
Author(s):  
Stephen D. Dondieu ◽  
Krystian L. Wlodarczyk ◽  
Paul Harrison ◽  
Adam Rosowski ◽  
Jack Gabzdyl ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Pulse Duration ◽  
High Throughput ◽  
Removal Rate ◽  
Scale Up ◽  
Average Power ◽  
Laser Parameters ◽  
Pulsed Fiber Laser ◽  
Energy Dose

High average power (>50 W) nanosecond pulsed fiber lasers are now routinely available owing to the demand for high throughput laser applications. However, in some applications, scale-up in average power has a detrimental effect on process quality due to laser-induced thermal accumulation in the workpiece. To understand the laser–material interactions in this power regime, and how best to optimize process performance and quality, we investigated the influence of laser parameters such as pulse duration, energy dose (i.e., total energy deposited per unit area), and pulse repetition frequency (PRF) on engraving 316L stainless steel. Two different laser beam scanning strategies, namely, sequential method (SM) and interlacing method (IM), were examined. For each set of parameters, the material removal rate (MRR) and average surface roughness (Sa) were measured using an Alicona 3D surface profilometer. A phenomenological model has been used to help identify the best combination of laser parameters for engraving. Specifically, this study has found that (i) the model serves as a quick way to streamline parameters for area engraving (ii) increasing the pulse duration and energy dose at certain PRF results in a high MRR, albeit with an associated increase in Sa, and (iii) the IM offers 84% reduction in surface roughness at a higher MRR compared to SM. Ultimately, high quality at high throughput engraving is demonstrated using optimized process parameters.

scholarly journals The Influence of the Processing Parameters on the Laser-Ablation of Stainless Steel and Brass during the Engraving by Nanosecond Fiber Laser

Nanomaterials ◽  
2022 ◽  
Vol 12 (2) ◽  
pp. 232
Author(s):  
Luka Hribar ◽  
Peter Gregorčič ◽  
Matej Senegačnik ◽  
Matija Jezeršek
Keyword(s):  
Surface Roughness ◽  
Fiber Laser ◽  
Pulse Duration ◽  
Repetition Rate ◽  
Pulse Repetition Rate ◽  
Removal Rate ◽  
Average Power ◽  
Laser Pulses ◽  
Processing Parameters ◽  
Pulse Repetition

In this paper, we investigate the influence of the following parameters: pulse duration, pulse repetition rate, line-to-line and pulse-to-pulse overlaps, and scanning strategy on the ablation of AISI 316L steel and CuZn37 brass with a nanosecond, 1064-nm, Yb fiber laser. The results show that the material removal rate (MRR) increases monotonically with pulse duration up to the characteristic repetition rate (f0) where pulse energy and average power are maximal. The maximum MRR is reached at a repetition rate that is equal or slightly higher as f0. The exact value depends on the correlation between the fluence of the laser pulses and the pulse repetition rate, as well as on the material properties of the sample. The results show that shielding of the laser beam by plasma and ejected material plays an important role in reducing the MRR. The surface roughness is mainly influenced by the line-to-line and the pulse-to-pulse overlaps, where larger overlap leads to lower roughness. Process optimization indicates that while operating with laser processing parameters resulting in the highest MRR, the best ratio between the MRR and surface roughness appears at ~50% overlap of the laser pulses, regardless of the material being processed.

Surface Roughness Optimization in Turning Operation Using Hybrid Algorithm of Artificial Bee Colony with RSM

2015 ◽  
Vol 1101 ◽  
pp. 393-396
Author(s):  
Mohammad Ahsan Habib ◽  
Md. Anayet U. Patwari ◽  
Koushik Alam Khan ◽  
A.N.M. Amanullah Tomal
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Artificial Bee Colony ◽  
Removal Rate ◽  
Machining Parameters ◽  
Turning Operation ◽  
Bee Colony ◽  
Optimal Value ◽  
Intelligent Behavior ◽  
Desirability Analysis

For cost reduction and quality improvement of machining products, optimum output machining parameters such as material removal rate, tool wear ratio and surface roughness is very essential. Moreover, these output parameters are strongly depends on the precision of the machine tool as well as the input machining parameters. In this paper, a hybrid model of Artificial Bee Colony (ABC), which is motivated by the intelligent behavior of honey bees with Response Surface Methodology (RSM), has been developed for optimizing the surface roughness of stainless steel during turning operation. The predicted optimal value of surface roughness of stainless steel is further confirmed by conducting supplementary experiments. Finally, the performance of this algorithm is evaluated in comparison with desirability analysis. The performance of ABC is at par with that of desirability analysis for different parametric conditions.

Laser Direct-Part Marking of Data Matrix Barcodes on the Surface of Metal Alloy Material

2017 ◽  
Vol 744 ◽  
pp. 244-248
Author(s):  
Chun Ling Li ◽  
Chang Hou Lu
Keyword(s):  
Surface Roughness ◽  
Average Power ◽  
Processing Parameters ◽  
Data Matrix ◽  
Direct Part ◽  
Factors Affecting ◽  
Laser Parameters ◽  
Orthogonal Experiments ◽  
Alloy Material ◽  
Multivariate Nonlinear Regression

The influences of laser processing parameters on the symbol contrast and surface roughness of Data Matrix barcodes were studied by single factor experiments using a Q-switched lamp pumped Nd:YAG laser. The orthogonal experiments were carried out to further study the relationship between laser parameters and surface roughness. Multivariate nonlinear regression analyses were performed based on the orthogonal experimental results and a mathematical relationship between parameters and surface roughness was established. The results show that the change trend of surface roughness is similar to symbol contrast with the increase of laser parameters. Both the average power and two different overlaps are important factors affecting the surface roughness and symbol contrast. But the current intensity has an insignificant impact on the surface roughness. The developed regression model can be used to predict the roughness of Data Matrix barcodes. This study can improve industrial application of laser direct part marking technology on titanium alloy substrates.

High-peak-power, high-energy, high-average-power pulsed fiber laser system with versatile pulse duration and shape

2013 ◽  
Vol 38 (22) ◽  
pp. 4686 ◽  
Author(s):  
A. Malinowski ◽  
P. Gorman ◽  
C. A. Codemard ◽  
F. Ghiringhelli ◽  
A. J. Boyland ◽  
...  
Keyword(s):  
Fiber Laser ◽  
Pulse Duration ◽  
Peak Power ◽  
Laser System ◽  
Average Power ◽  
High Energy ◽  
High Peak ◽  
High Peak Power ◽  
High Average Power ◽  
Pulsed Fiber Laser

scholarly journals Optimizing Process Parameters of Spark and Wire-Cut Edm through Anova using Stainless Steel Aisi 316 Material

2019 ◽  
Vol 9 (2) ◽  
pp. 817-821
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Process Parameters ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Parameters ◽  
Steel Aisi ◽  
Aisi 316 ◽  
Pulse On Time ◽  
Stainless Steel Aisi

In the present research work, Stainless Steel AISI 316 as per ASTM A 276 has been employed as the base material to perform Spark and Wire-Cut EDM. The main agenda behind performing Spark and Wire-Cut EDM on Stainless Steel AISI 316 is to find out the effect of machining parameters like surface roughness (SR) and MRR (Material Removal Rate). In-case of wire-cut EDM, brass wire) of 0.25 mm diameter is used as a tool and distilled water is used as dielectric fluid and experimental process parameters like Current (A) (2, 3 and 4 Amps), Pulse ON time (B) (25, 30 and 35 μs) and Wire feed rate (C) (40, 60 and 80 mm/sec). Similarly for spark cut EDM copper rod of 12 mm diameter and 65 mm length. Process parameters like Current (A) (6, 12 and 16 Amps), Voltage (B) (30, 35 and 40 Volts) and Pulse ON time (C) (50, 100 and 200μs) were maintained during the experimentation. Statistical tools ANOVA & L-9 Orthogonal Array (OA) have been employed to optimize the machining parameters like Surface Roughness (SR) and MRR (Material Removal Rate).

Experimental Investigation on Electrochemical Grinding (ECG) for Stainless Steel 316

2020 ◽  
Vol 38 (1A) ◽  
pp. 20-24
Author(s):  
Abdullah J. Ghadban ◽  
Abbas F. Ibrahim
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Electrolyte Concentration ◽  
Removal Rate ◽  
Spindle Speed ◽  
Gap Size ◽  
Applied Current ◽  
Characteristic Features ◽  
Stainless Steel 316 ◽  
Electrochemical Grinding

This research focuses on material removal rate (MRR) and surface roughness during electrochemical grinding (ECG) for stainless steel 316. The effect of applied current, electrolyte concentration, gap size and spindle speed on machining performances has been studied. Where applied current used are (10, 20, 30, 40) A, electrolyte concentration used (100, 150, 200, 250) g/l, gap size used (0.2, 0.3, 0.4, 0.5) mm and spindle speed used (75, 150, 180, 280) rpm. Through the Taguchi design based experimental study the characteristic features of the ECG process are discussed. Where the maximum MRR can be obtained at 40 A of the current, 250 g/l of the concentration, 0.2 mm of the gap and 180 rpm of spindle speed. The best surface roughness can be obtained at 10 A of the current, 200 g/l of the concentration, 0.4 mm of the gap and 280 rpm of spindle speed.

Analysis on the Influence of Oxidant in CMP of Ultra-Thin Stainless Steel

2014 ◽  
Vol 1027 ◽  
pp. 167-170 ◽  
Author(s):  
Jian Xiu Su ◽  
Jia Peng Chen ◽  
Hai Feng Cheng ◽  
Song Zhan Fan
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Material Removal Rate ◽  
Chemical Mechanical Polishing ◽  
Material Removal ◽  
Removal Rate ◽  
Mechanical Polishing ◽  
304 Stainless Steel ◽  
Research Results

In chemical mechanical polishing (CMP) of ultra-thin stainless steel, the oxidant of polishing slurry determines the material removal rate (MRR). In this paper, the influences of oxidant in slurry on MRR and surface roughness have been studied in CMP of ultra-thin 304 stainless steel based on alumina (Al2O3) abrasive. The research results show that, in the same conditions, the MRR increases with the increase of the oxidant C and the oxidant B, the MRR decreases with the increase of the oxidant A and the MRR is max with the oxidant C. It indicated that the oxidant C has a large effect on MRR in CMP of the 304 stainless steel. The research results can provide the reference for studying the slurry in CMP of ultra-thin stainless steel.

COMPUTATIONAL FLUID DYNAMIC SIMULATION OF THE NANOELECTRICAL DISCHARGE MACHINING PROCESS

NANO ◽  
2011 ◽  
Vol 06 (06) ◽  
pp. 561-568 ◽  
Author(s):  
G. TAHMASEBIPOUR ◽  
Y. TAHMASEBIPOUR ◽  
M. GHOREISHI
Keyword(s):  
Pulse Duration ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Fluid Dynamic ◽  
Average Power ◽  
Machining Process ◽  
Process Conditions ◽  
Machining Processes ◽  
Experimental Conditions ◽  
Edm Process

Electrical discharge machining (EDM) process is one of the advanced machining processes that can machine the various complex shapes from all conductor and semiconductor materials. Wide and diverse applications of Micro-EDM process in microfabrication and micro- to nano-miniaturization tendency is promising application of Nano-EDM process in nanofabrication. The Nano-EDM is a precise, sensitive and costly process. Therefore, simulation of nanocrater produced by each spark in this process prevents spending extra time and cost to perform Nano-EDM process through trial and error method. In this paper nanocrater machined by the Nano-EDM process on a gold nanofilm is simulated under practically experimental conditions. Radius, depth and volume of the nanocrater are evaluated versus process conditions (average power and pulse duration) and workpiece thickness (50 nm, 100 nm and 300 nm). It is observed that radius of the nanocrater is increased exponentially with increasing spark pulse duration. Also, depth, volume of the removed material from the workpiece surface and material removal rate (MRR) are increased with increasing consumed energy by each spark. By increasing thickness of the nanofilm, volume of the removed material and dimensions of the nanocrater are decreased.

Influences of Properties of Fixed Abrasive Tool on the Lapping Process of Stainless Steel Substrate

2010 ◽  
Vol 135 ◽  
pp. 365-369
Author(s):  
Cong Rong Zhu ◽  
Bing Hai Lv ◽  
Ju Long Yuan
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Material Removal Rate ◽  
Material Removal ◽  
Stainless Steel Substrate ◽  
Removal Rate ◽  
Steel Substrate ◽  
Abrasive Tool ◽  
Bonding Material ◽  
Fixed Abrasive

To improve the machining efficiency as well as surface roughness, a series of experiments employed fixed abrasive tools are carried out for stainless steel substrate, and influences of properties of fixed abrasive tool on the lapping process are studied. It is found that the resin is the best bonding material in this study. The surface roughness under different concentration of bonding material is similar, and the material removal rate (MRR) increases as the concentration of bonding material decreases from 50% to 20%. But too little of bonding material results into low bond strength that causing low material removal rate. It is also found that higher shear strength, lower wear rate, and the shear strength of the tool with 35% bonding material is the highest. It is obvious that the surface roughness and material removal rate decline as the grit size decreases. The roughness of surface lapped with resin bonded 4000# SiC abrasive tool comes to 18nm, and the material removal rate is 0.63μm/min.

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