scholarly journals Experimental Optimization of Nimonic 263 Laser Cutting Using a Particle Swarm Approach

Metals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 1147 ◽  
Author(s):  
Sibalija ◽  
Petronic ◽  
Milovanovic
Keyword(s):  
Laser Cutting ◽  
Particle Swarm ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Parameter Tuning ◽  
Pso Algorithm ◽  
Ann Model ◽  
Suggested Approach ◽  
Process Measure ◽  
Control Factors

This paper presents an experimental study carried out on Nimonic 263 alloy sheets to determine the optimal combination of laser cutting control factors (assisted gas pressure, beam focus position, laser power, and cutting speed), with respect to multiple characteristics of the cut area. With the aim of designing laser cutting parameters that satisfy the specifications of multiple responses, an advanced multiresponse optimization methodology was used. After the processing of experimental data to develop the process measure using statistical methods, the functional relationship between cutting parameters and the process measure was determined by artificial neural networks (ANNs). Using the trained ANN model, particle swarm optimization (PSO) was employed to find the optimal values of laser cutting parameters. Since the effectiveness of PSO could be affected by its parameter tuning, the settings of PSO algorithm-specific parameters were analyzed in detail. The optimal laser cutting parameters proposed by PSO were implemented in the validation run, showing the superior cut characteristics produced by the optimized parameters and proving the efficacy of the suggested approach in practice. In particular, it is demonstrated that the quality of the Nimonic 263 cut area and the microstructure were significantly improved, as well as the mechanical characteristics.

Optimization of Drilling Process via Weightless Swarm Algorithm

2015 ◽  
pp. 181-190
Author(s):  
T. O. Ting
Keyword(s):  
Particle Swarm Optimization ◽  
Reduction Rate ◽  
Particle Swarm ◽  
Parameter Tuning ◽  
Pso Algorithm ◽  
Drilling Process ◽  
Swarm Optimization ◽  
Lower Standard ◽  
Swarm Algorithm ◽  
Novel Algorithm

In this chapter, the main objective of maximizing the Material Reduction Rate (MRR) in the drilling process is carried out. The model describing the drilling process is adopted from the authors' previous work. With the model in hand, a novel algorithm known as Weightless Swarm Algorithm is employed to solve the maximization of MRR due to some constraints. Results show that WSA can find solutions effectively. Constraints are handled effectively, and no violations occur; results obtained are feasible and valid. Results are then compared to previous results by Particle Swarm Optimization (PSO) algorithm. From this comparison, it is quite impossible to conclude which algorithm has a better performance. However, in general, WSA is more stable compared to PSO, from lower standard deviations in most of the cases tested. In addition, the simplicity of WSA offers abundant advantages as the presence of a sole parameter enables easy parameter tuning and thereby enables this algorithm to perform to its fullest.

Laser Cutting Quality of the Ceramic Slabs

2006 ◽  
Vol 505-507 ◽  
pp. 847-852 ◽  
Author(s):  
Xu Yue Wang ◽  
Wen Ji Xu ◽  
Ren Ke Kang ◽  
Yi De Liang
Keyword(s):  
Laser Power ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Incident Laser Power ◽  
Focal Position ◽  
Geometrical Features ◽  
The Relationship ◽  
Cutting System

An experimental analysis is presented which investigates the relationship between cutting parameters and the volume of material removal as well as its cutting quality on a Nd:YAG laser cutting system. The parameters that varied on two testing thickness during cutting include cutting speed, incident laser power and focal position in a continuous through cut. Various trends of the kerf geometrical features in terms of the varying process parameters are analyzed and shown to be reasonable. Discussions are also given on kerf geometry control in situations with cutting parameters. It shows that the effects of varying parameters such as cutting speed, laser power and focal position on cutting kerf width, surface roughness, and striation that have provided a deeper understanding of the laser machining.

A Parametric Optimization on Cutting Force during Laser Assisted Machining of Inconel 718 Alloy

2015 ◽  
Vol 787 ◽  
pp. 460-464 ◽  
Author(s):  
M. Vignesh ◽  
K. Venkatesan ◽  
R. Ramanujam ◽  
P. Kuppan
Keyword(s):  
Cutting Force ◽  
Feed Rate ◽  
Inconel 718 ◽  
Laser Power ◽  
Laser Cutting ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Work Piece ◽  
Conventional Machining

Inconel 718, a nickel based alloys, addressed as difficult to cut material because of hard carbide particle, hardness, work hardening and low thermal conductivity. Improving the machinability characteristics of nickel based alloys is a major anxiety in aircraft, space vehicle and other manufacturing fields. This paper presents an experimental investigation in Laser assisted turning of Inconel 718 to determine the effects of laser cutting parameters on cutting temperature and cutting forces. This nickel alloy has a material hardness at 48 HRC and machined with TICN/Al2O3/TiN tool. This is employed for the manufacture of helicopter rotor blades and cryogenic storage tanks. The experiments were conducted at One-Factor-at-a-Time.The effects of laser cutting parameters, namely cutting speed, feed rate, laser power and laser to work piece angle, on the cutting temperature and cutting force components, are critically analysed and the results are compared with unassisted machining of this alloy. The experiments are conducted by varying the cutting speed at three levels (50, 75, 100 m/min), feed rate (0.05, 0.075 0.1 mm/rev), laser power (1.25 kW, 1.5 kW, 1.75 kW) and at two level laser to work piece angle (60, 75°). At the optimal parametric combinationof laser power 1.5 kW with cutting speed of 75m/min, feed rate of 0.075 mm/min and laser to work piece angle 60°, the benefit of LAM was shown by 18%, 25% and 24% decrease in feed force (Fx), thrust force (Fy) and cutting force (Fz) as compared to those of the conventional machining. Examination of the machined surface hardness profiles showed no change under LAM and conventional machining.

scholarly journals Particle Swarm Optimization

2017 ◽  
pp. 614-635 ◽  
Author(s):  
Alaa Tharwat ◽  
Tarek Gaber ◽  
Aboul Ella Hassanien ◽  
Basem E. Elnaghi
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithms ◽  
Particle Swarm ◽  
Optimal Solution ◽  
Parameter Tuning ◽  
Pso Algorithm ◽  
Search Space ◽  
Learning Problems ◽  
Swarm Optimization ◽  
Numerical Example

Optimization algorithms are necessary to solve many problems such as parameter tuning. Particle Swarm Optimization (PSO) is one of these optimization algorithms. The aim of PSO is to search for the optimal solution in the search space. This paper highlights the basic background needed to understand and implement the PSO algorithm. This paper starts with basic definitions of the PSO algorithm and how the particles are moved in the search space to find the optimal or near optimal solution. Moreover, a numerical example is illustrated to show how the particles are moved in a convex optimization problem. Another numerical example is illustrated to show how the PSO trapped in a local minima problem. Two experiments are conducted to show how the PSO searches for the optimal parameters in one-dimensional and two-dimensional spaces to solve machine learning problems.

scholarly journals Surface Quality of Ti-6Al-4V Titanium Alloy Parts Machined by Laser Cutting

2020 ◽  
Vol 10 (4) ◽  
pp. 6062-6067
Author(s):  
A. Boudjemline ◽  
M. Boujelbene ◽  
E. Bayraktar
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Titanium Alloy ◽  
Laser Power ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Maximum Height ◽  
Proposed Model

This paper investigates high power CO2 laser cutting of 5mm-thick Ti-6Al-4V titanium alloy sheets, aiming to evaluate the effects of various laser cutting parameters on surface roughness. Using multiple linear regression, a mathematical model based on experimental data was proposed to predict the maximum height of the surface Sz as a function of two laser cutting parameters, namely cutting speed and assist-gas pressure. The adequacy of the proposed model was validated by Analysis Of Variance (ANOVA). Experimental data were compared with the model’s data to verify the capacity of the proposed model. The results indicated that for fixed laser power, cutting speed is the predominant cutting parameter that affects the maximum height of surface roughness.

scholarly journals Influence of cutting parameters on the quality of the cut surfaces of steel swith a laser beam

2019 ◽  
Vol 44 (1) ◽  
pp. 21-27
Author(s):  
Dobre Runchev ◽  
Filip Zdraveski ◽  
Irena Ivanova
Keyword(s):  
Laser Beam ◽  
Laser Cutting ◽  
Visual Inspection ◽  
Cutting Speed ◽  
Base Material ◽  
Cutting Parameters ◽  
Thermal Cutting ◽  
Materials Used ◽  
Cut Surface

The main objective of the research covered in this paper is to present results for the quality of surfaces thermally cut with a laser beam. The variety of steel materials used as samples on which laser cutting is performed are the following Č.0146 (1.0330), Č.0147 (1.0333), Č.2131 (1.5024), SS Ferbec CR, HARDOX 450 and HARDOX 550. Thermal cutting is carried out with a CNC controlled Fiber laser BAYKAL type BLS–F–1530. The quality of the cut surface is analyzed based on varying the power of the laser beam, changing cutting speed and the type of additional gas (oxygen, air and nitrogen). By visual inspection, measuring the roughness of the cut surface and measuring the width of the intersection, it is determined the influence of the factors like type of the base material, type of gases, the power of thelaser beam and the cutting speed, in accordance with the standards DIN EN ISO 9013-2002 and the JUS C.T3.022.

Experimental Research of Laser Cutting 1Cr17Mn6Ni5N Steel Plates

2014 ◽  
Vol 998-999 ◽  
pp. 526-529
Author(s):  
Zhan Guo Li ◽  
Yao Chen Shi ◽  
Wei Yuan ◽  
Xiu Guang Yang
Keyword(s):  
Laser Cutting ◽  
Evaluation Method ◽  
Influence Factors ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Kerf Width ◽  
Steel Plates ◽  
Power Pulse ◽  
The Difference ◽  
Optimal Cutting Parameters

Due to complexity of laser cutting process and its many influence factors, this paper puts forward the evaluation method of laser cutting quality based on the difference of average upper and under kerf width from four points in two lines, systematically analyzes the influence rule and the influence degree of cutting speed, laser power, pulse width, repetition frequency on kerf width by laser cutting experimental study of 1Cr17Mn6Ni5N steel plates and provides a new method for evaluation of laser cutting quality and selection of optimal cutting parameters.

Quality Analysis of Pulsed Laser Cutting of Superalloy Sheet

2006 ◽  
Vol 315-316 ◽  
pp. 113-117
Author(s):  
S.J. Lv ◽  
Yang Wang ◽  
Shi Jun Ji
Keyword(s):  
Laser Cutting ◽  
Cutting Speed ◽  
Pulsed Laser ◽  
Cutting Parameters ◽  
Recast Layer ◽  
Thin Layers ◽  
Quality Analysis ◽  
Quality Factors ◽  
Cut Quality ◽  
Dross Formation

This paper presents the experiments of Nd:YAG pulsed laser cutting of GH3536 superalloy sheet and investigates the influences of different cutting parameters on laser cut quality factors including recast layer, kerf width and dross formation. The results show that the recast layer possesses finer granularity and higher hardness than those of the matrix, and the thickness of recast layer increases with increased pulse energy and decreases as the cutting speed and gas pressure increase. Oxygen-assisted cutting comes with thick recast layers and argon-assisted cutting acquires thin layers. The low-strength oxide layer worsens the kerf surfaces in oxygen-assisted cutting while argon-assisted cutting produces unaffected surface quality and is suitable for applications with subsequent welding.

Effects of Laser Cutting Main Parameters on Microhardness and Microstructure Changes of Stainless Steel

2013 ◽  
Vol 664 ◽  
pp. 811-816 ◽  
Author(s):  
Imed Miraoui ◽  
Mohamed Boujelbene ◽  
Emin Bayraktar
Keyword(s):  
Stainless Steel ◽  
Laser Power ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Experimental Tests ◽  
Cutting Parameters ◽  
Surface Microstructure ◽  
Machined Surface ◽  
Microhardness And Microstructure ◽  
Cut Surface

Laser cutting of materials is becoming the preferred method of cutting. It has many advantages over conventional machining techniques such as better quality of cuts, quick and accurate cutting. The objective of this work is to investigate the effect of the main input laser cutting parameters, laser power and cutting speed, on the microhardness of stainless steel sheets obtained by CO2 laser cutting. The experimental tests were performed at various laser powers and cutting speeds. The cut surface was studied based on microhardness depth profiles beneath the machined surface. In order to investigate the metallurgical alterations beneath the cut surface, the microstructure was observed by using scanning electron microscopy. The results show that the microhardness and the surface microstructure are affected by laser cutting. Laser cutting leads to the formation of periodic striations and cracks. Also the main parameters of cutting, laser power and cutting speed, have an effect on surface microstructure and microhardness.

Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets

2009 ◽  
Vol 83-86 ◽  
pp. 793-800 ◽  
Author(s):  
M.M. Noor ◽  
K. Kadirgama ◽  
M.M. Rahman ◽  
N.M. Zuki N.M. ◽  
Mohd Ruzaimi Mat Rejab ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Laser Beam ◽  
Response Surface ◽  
Response Surface Method ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Power Requirement ◽  
Box Behnken Design ◽  
Surface Method

This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roughness during the machining. Response surface method (RSM) was used to minimize the number of experiments. It can be seen that from the experimental results, the effects of the laser cutting parameters with the surface roughness were investigated. It was found that the surface roughness is significantly affected by the tip distance followed by the power requirement and cutting speed. Some defects were found in microstructure such as burning, melting and wavy surface. This simulation gain more understanding of the surface roughness distribution in laser cutting. The developed model is suitable to be used in the range of (power 90 to 95, cutting speed 700 to 1100 and tip distance 3 to 9) to predict surface roughness.

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