scholarly journals A review on laser beam machining process modeling and optimization

2021 ◽  
Vol 1104 (1) ◽  
pp. 012015
Author(s):  
V B Magdum ◽  
J K Kittur
Keyword(s):  
Laser Beam ◽  
Process Modeling ◽  
Machining Process ◽  
Laser Beam Machining ◽  
Modeling And Optimization

Analysis of responses on zirconium carbide based titanium using laser beam machining process

2021 ◽  
Author(s):  
Mahesh Mallampati ◽  
K. Somasundaram ◽  
J. Saranya ◽  
C. Harsha vardhan ◽  
V. Rakesh Kumar ◽  
...  
Keyword(s):  
Laser Beam ◽  
Zirconium Carbide ◽  
Machining Process ◽  
Laser Beam Machining

scholarly journals Machine ability on Leather using Co2 Laser and Power Diode Laser

2019 ◽  
Vol 8 (5S3) ◽  
pp. 151-154
Keyword(s):  
Laser Beam ◽  
Laser Diode ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Laser Diodes ◽  
Machining Process ◽  
Laser Beam Machining ◽  
Laser Technology ◽  
Duty Cycles ◽  
Power Diode

Leather is a versatile, robust and trendy material and therefore its applications are nearly endless. The conventional method of leather cutting takes a lot of man power. Power diode-based Laser technology has grown significantly during recent years due to numerous advantages over conventional cutting methods. The conventional Lasers also have some drawbacks in cutting such as Geometrical inaccuracies, Carbonization, Overcut etc. This can be reduced by the use of Laser diodes. The main purpose of using Laser diode is to reduce power consumption. In the present study, an attempt has been made to develop laser diode-based Laser beam machining (LBM) and CO2 based LBM, to compare the performance measures of Carbonization and Geometrical inaccuracy. The main objective of this work is to enhance the machining process using Laser diode, to make it eco-friendly through the different duty cycles of Pulse Width Modulation (PWM) which can be used to control the intensity of the Laser beam

scholarly journals Parametric Optimization of Nd:YAG Laser Beam Machining Process Using Artificial Bee Colony Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Rajarshi Mukherjee ◽  
Debkalpa Goswami ◽  
Shankar Chakraborty
Keyword(s):  
Genetic Algorithm ◽  
Laser Beam ◽  
Process Parameters ◽  
Nd:Yag Laser ◽  
Artificial Bee Colony ◽  
Parametric Optimization ◽  
Machining Process ◽  
Laser Beam Machining ◽  
Abc Algorithm ◽  
Bee Colony

Nd:YAG laser beam machining (LBM) process has a great potential to manufacture intricate shaped microproducts with its unique characteristics. In practical applications, such as drilling, grooving, cutting, or scribing, the optimal combination of Nd:YAG LBM process parameters needs to be sought out to provide the desired machining performance. Several mathematical techniques, like Taguchi method, desirability function, grey relational analysis, and genetic algorithm, have already been applied for parametric optimization of Nd:YAG LBM processes, but in most of the cases, suboptimal or near optimal solutions have been reached. This paper focuses on the application of artificial bee colony (ABC) algorithm to determine the optimal Nd:YAG LBM process parameters while considering both single and multiobjective optimization of the responses. A comparative study with other population-based algorithms, like genetic algorithm, particle swarm optimization, and ant colony optimization algorithm, proves the global applicability and acceptability of ABC algorithm for parametric optimization. In this algorithm, exchange of information amongst the onlooker bees minimizes the search iteration for the global optimal and avoids generation of suboptimal solutions. The results of two sample paired t-tests also demonstrate its superiority over the other optimization algorithms.

Influence of process parameters on dimensional accuracy of machined Titanium (Ti-6Al-4V) alloy in Laser Beam Machining Process

2020 ◽  
Vol 132 ◽  
pp. 106494 ◽  
Author(s):  
T. Muthuramalingam ◽  
Khaja Moiduddin ◽  
Ravi Akash ◽  
Shravan Krishnan ◽  
Syed Hammad Mian ◽  
...  
Keyword(s):  
Laser Beam ◽  
Process Parameters ◽  
Dimensional Accuracy ◽  
Machining Process ◽  
Influence Of Process Parameters ◽  
Laser Beam Machining

Molecular Dynamics Simulation Study of Liquid-Assisted Laser Beam Machining Process

2018 ◽  
Author(s):  
Sagil James ◽  
Vivek Anand Menon ◽  
Mayur Parmar
Keyword(s):  
Molecular Dynamics ◽  
Laser Beam ◽  
Liquid Medium ◽  
Md Simulation ◽  
Machining Process ◽  
Dynamics Simulation ◽  
Dynamic Mode ◽  
Static Mode ◽  
Zone Formation ◽  
Laser Beam Machining

Liquid Assisted Laser Beam Micromachining (LA-LBMM) process is advanced machining process which can overcome the limitations of traditional laser beam machining processes. LA-LBMM process uses a layer of a liquid medium such as water above the substrate surface during the application of laser beam. During LA-LBMM process, the liquid medium is used both in static mode in which the water is still or in a dynamic mode in which the water flows over the substrate with a specific velocity. Experimental studies on LA-LBMM process have shown that the cavity machined has a better surface finish due to a reduction in the amount of re-deposition and recast material. While LA-LBMM process promises significant improvement in laser-based micromachining applications, the process mechanisms involved in LA-LBMM process is not well understood. In the past, finite element simulation studies on LA-LBMM process is studied which could only find the temperature distribution on the substrate during machining. A clear understanding of the role of water medium during the LA-LBMM process is lacking. This research involves the use of Molecular Dynamics (MD) simulation technique to investigate the complex and dynamic mechanisms involved in the LA-LBMM process both in static and dynamic mode. The results of the MD simulation are compared with those of Laser Beam Micromachining (LBMM). The study revealed that machining during LA-LBMM process showed higher removal compared with LBMM process. The LA-LBMM process in dynamic mode showed lesser material removal compared with static mode as the flowing water carrying the heat away from the machining zone. Formation of nanoscale bubbles along with shockwave propagation is observed during the simulation of LA-LBMM process. The findings of this study provide further insights to strengthen the knowledge base of LA-LBMM process.

Experimental Study of Micromachining on Reflective Surface Using CO2 Laser

2020 ◽  
Author(s):  
Vishnu Vardhan Posa ◽  
Murali Sundaram
Keyword(s):  
Laser Beam ◽  
Material Removal ◽  
Machining Process ◽  
Laser Machining ◽  
Glass Work ◽  
Workpiece Material ◽  
Laser Beam Machining ◽  
Laser Parameters ◽  
Reflective Coating ◽  
Work Samples

Abstract Laser Beam Machining (LBM) is one of the versatile non-traditional manufacturing processes. Material removal in LBM is based on high heat flux generated by laser beam which melts and vaporizes the workpiece material in the focused point. Laser Beam Machining process can shape almost all range of engineering materials from metallic alloys to non-metallic alloys as well as composite materials. But one of the main limitations of laser beam machining is the machining of reflective materials. When laser beam is focused on the reflective surface, part of the energy is reflected by the surface and the remaining is absorbed. In this study, an attempt has been made to increase the absorptivity of the reflective material by coating anti-reflective coating on the surface of the material. Glass has been used as reflective material in this study because of its extensive applications in the micro-opto-electro-mechanical systems. The optimal machining depends on both laser parameters and properties of the workpiece material. There are number of laser parameters that can be varied in the laser machining process. It is difficult to find optimal laser parameters due to mutual interaction of laser parameters. A statistical study based on design of experiment (DoE) has been made to study the effect of anti-reflective coating and parameters like laser power, laser scanning speed, angle of inclination of the workpiece on depth of the slot, width of the slot, aspect ratio and material removal rate (MRR) in the laser machining process using 2k factorial design and ANOVA. On an average 4 times increase in depth of the slot, 2 times increase in width of the slot and 7 times increase in the MRR was observed in the glass work samples with anti-reflective coating when compared to glass work samples without anti-reflective coating.

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