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[IEEE 2019 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) - Zhenjiang, China (2019.8.4-2019.8.8)] 2019 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) - The Study on Surface Integrity on Laser-assisted Turning of SiCp/2024Al
摘要： An experimental study was conducted on laser-assisted turning (LAT) of SiCp/2024Al in order to investigate the effects of input variables of LAT and conventional turning (CT) on machining performance of SiCp/2024Al. An experimental study was conducted on LAT of SiCp/2024Al in order to investigate the effects of input variables of LAT and CT on machining performance of SiCp/2024Al. The process benefits of laser processing variables were analyzed by comparing the surface roughness, surface microstructure and residual stress. The variables in LAT are as follows: the cutting speed is 30 to 60 m / min, the feed rate is 0.01 to 0.1 mm/rev, and the laser power is between 0 W and 50 W. The experimental results show that under the same cutting parameters, the LAT outperforms the CT method by reducing the surface roughness value by up to 81.73%. Unlike in CT, LAT produces more residual compressive stress. Micro-structure analysis shows that there are no microcracks on the surface of the workpiece machined by LAT.
关键词： laser-assisted micro-turning,microscopic morphology,SiCp/2024Al,residual stress,surface roughness
更新于2025-09-16 10:30:52
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Experimental Optimization of Nimonic 263 Laser Cutting Using a Particle Swarm Approach
摘要： 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 specific 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.
关键词： artificial neural networks (ANNs),microhardness,laser cutting,microstructural characterization,Nimonic 263,parameters optimization,particle swarm optimization,simulated annealing (SA),surface roughness
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) - Zhenjiang, China (2019.8.4-2019.8.8)] 2019 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) - Study on Laser-assisted Machining of Aluminum-based Silicon Carbide
摘要： In order to explore the feasibility of laser-assisted machining (LAM) in the field of metal matrix composites (MMCs), an orthogonal precision micro-cutting experiment of 45% volume fraction aluminum-based silicon carbide (SiCp/Al) was carried out, and the experimental results were analyzed and discussed. The experimental results show that laser-assisted processing can improve the processing characteristics of SiCp/Al materials. Under the appropriate laser power, the laser assisted processing technology can effectively improve the surface roughness of the workpiece to be processed, obtaining a high-quality surface finish, and increase the tool wear resistance to a certain extent at the same time. Laser assisted machining technology can be applied to the processing of metal matrix composites.
关键词： surface morphology,laser-assisted,SiCp/Al,tool wear,surface roughness
更新于2025-09-16 10:30:52
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Predictive Modeling Of Laser Assisted Hybrid Machining Parameters Of Inconel 718 Alloy Using Statistical And Artificial Neural Network
摘要： Laser assisted hybrid machining being researched in past decade on various difficult to machine materials to improve the machinability. Predictive modeling approaches such as response surface method (RSM) and artificial neural network (ANN) are widely applied for model development. However, no reported work using RSM and ANN approaches to predict the relationship between the experimental variables (speed, feed, laser power and beam apporach angle) on surface roughness Ra (μm). Furthermore, coefficient of correlation (R2), root mean square error (RMSE) and model predictive error (MPE) are considered as a performance measures for their effectiveness. The results show that the ANN model estimates the machinability indices with high accuracy with a limited number of experiments compared to the response surface model. From the comparative study, ANN model is found to be capable for better prediction of response than the RSM model. ANN model provides a maximum precision benefit of 10% for surface roughness Ra (μm) compared with RSM model. Also the calculated Pearson correlation coefficient showed a robust relationship between the laser beam angle and Ra, surface roughness followed by the speed.
关键词： response surface methodology,surface roughness,neural network,empirical models
更新于2025-09-16 10:30:52
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Optimization of Surface Roughness and Power Consumption in laser-assisted machining of Inconel 718 by Taguchi based Response Surface Methodology
摘要： Inconel 718 a difficult-to-machine material is used in critical aero engines components. Surface roughness (product quality) and power consumption (energy efficiency) are two important benchmark factors for manufacturing industry as it deserves to determine the optimal design points in laser assisted machining (LAM) for sustainability performance of the machining process. Moreover, the optimization of laser beam angle and laser power along with technological parameters (cutting speed, feed rate) is not reported in the literature during laser-assisted machining (LAM) of Inconel 718. In this context, it is worthy to investigate the effects of these parameters on these two quality characteristics during the LAM of this fantastic material. Laser aided machinability experiments are carried out with coated carbide insert at three different cutting speeds (60, 105 and 150 m/min), three different feed rates (0.05, 0.0875 and 0.125 mm/rev), three laser power (1250, 1500 and 1750 W) and three laser beam angle (60, 70, 80 deg) under lased-aided dry cutting conditions. The percent contribution of the main effects of the cutting parameters to the quality parameters is determined using analysis of variance (ANOVA), and predictive linear equations are developed for the estimation of all the quality characteristics. Thereafter, optimal cutting parameters are obtained.
关键词： power consumption,surface roughness,laser parameters,analysis of variance
更新于2025-09-16 10:30:52
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Estimation of Optimal Laser Parameters On Inconel 718 By Taguchi Methodology
摘要： Inconel 718 is a representative of high temperature alloy which poses substantial difficulties in machining processes. High strength, high cutting temperature and a subsequent work hardening during machining process adversely affect the cutting force, surface integrity, tool life and chip breakability. The above difficulties have been disproving by employing the Laser Assisted Machining (LAM). LAM is a hybrid technique and used to machining the work-piece with conventional tool after softening it with laser emitted heat. An attempt has been made in the present study for an experimental investigation on the machining attributes of 718 Inconel super alloy during laser assisted machining using uncoated carbide insert. Experimental plan is designed based on Taguchi’s L18 mixed orthogonal array of design of experiment. Three response values such as cutting force, surface roughness and tool wear are measured and their effects are studied. The variability due to the machining parameters are dispensed using variance test. Predictive regression equations are developed for the estimation of all the quality characteristics. Also the Pearson correlation coefficient analysis is calculated to analyze the correlation between the input parameters and quality characteristics. Results showed a strong correlation between the feed rate and the cutting force and surface roughness followed by cutting speed. The results obtained from experiments are analyzed to predict the optimal machining conditions using desirability approach. At the optimal laser parameters, the tool life, when laser beam is used, is improved by 9% compared to conventional machining.
关键词： cutting forces,Taguchi method,surface roughness,tool wear,laser parameters
更新于2025-09-16 10:30:52
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Evaluation of surface roughness of metal films using plasmonic Fano resonance in attenuated total reflection
摘要： Attenuated total re?ection (ATR) by surface plasmon polariton (SPP) is a method for evaluating the dispersion relation of SPP from the position of a dip in the re?ection spectrum. However, recent studies have shown that the dips are displaced from SPP resonance because they are produced by a type of Fano resonance, i.e., the interference between the resonant re?ection process accompanied by resonant excitation of SPP and the direct re?ection process without resonant excitation. This result suggests that the system properties dif?cult to be achieved in the dispersion relation of SPP can be characterized using the ATR method. In this study, we investigate the effect of surface roughness due to nanosized dimples created in the initial stage of pitting corrosion on the ATR spectrum, from the viewpoint of Fano resonance. Using the temporal coupled-mode method, it is shown that the Fano resonance in ATR is caused by the phase change of direct re?ection because of the absorption on the metal surface, and the spectral shape is determined by this phase, along with the ratio of the external (radiative) decay rate to the total decay rate of the resonant mode. Moreover, it is clari?ed that the internal and external decay rates extracted from the ATR spectrum provide information on corrosion, such as the effective thickness of the metal ?lm and the randomness in dimple distribution.
关键词： surface plasmon resonance,Fano resonance,pitting corrosion,attenuated total re?ection,surface roughness
更新于2025-09-16 10:30:52
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Evaluation of internal defects generated in machine milled carbon fiber reinforced plastic using X-ray computed tomography
摘要： In this study, X-ray computed tomography (X-ray CT) was used to investigate internal defects generated on machine milled carbon fiber reinforced plastics (CFRP). Internal defects such as cracks, fractures, and deformation of the carbon fibers, which are invisible from the surface, were observed using the X-ray CT method. Defects were generated based on the machining method and direction of the fibers. A large number of defects were generated when using the conventional cut method along 45°, 90°, and the climb cut method along 90°. Few internal defects were observed when using the climb cut method along 45°; however, the machined surface was very rough. The mechanism for these phenomena was investigated by studying surface observations and cutting force, in addition to X-ray CT imaging. These results indicate that X-ray CT is a powerful tool for visualizing internal defects in CFRP, which differ significantly based on the direction of the fiber and machining method used.
关键词： Carbon fiber reinforced plastics,Surface roughness,Milling,Internal defect,X-ray computed tomography
更新于2025-09-16 10:30:52
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Study on laser-stricken damage to alumina ceramic layer of different surface roughness
摘要： This study examines the laser-stricken damage to different alumina ceramic surfaces of different roughness through multi-physical field coupling simulations and laser-striking experiments. The surfaces of different morphologies can be described by waves of different frequencies and amplitudes, and the waves which are discretized can be described by rectangular microstructures of different heights. In this paper, we found that the reaction of roughness surfaces to gauss lasers stricken on them could be simulated by the reaction of rectangular microstructures of different heights to laser strike. The simulation was carried out through the multi-physical field coupling method. The distribution of temperature and stress on rectangular microstructure were examined after being treated by high energy laser. It was found that overhigh temperature and stress were the main causes of laser-stricken damage, but there existed a critical rectangular column height value. The microstructure became increasingly prone to damage and fall-off with the increase of the rectangular column’s height, but it became decreasingly prone to damage after the rectangular column reached the critical value. In the experiments, seven roughness zones of alumina ceramic layer were chosen as sample surfaces for laser-striking experiment. The results showed that there was a critical roughness value at a fixed laser energy density. As a result, the amount of particles falling off the surfaces caused by laser strike was rising when the roughness was increasing. However, the amount of particles falling off the surfaces was decreasing after roughness reached the critical value. The critical rectangular column height value in the simulation corresponded to the critical roughness value in the experiment. Therefore, an appropriate selection of roughness is an important factor for obtaining high laser-stricken damage threshold.
关键词： simulation and experiment,surface roughness,rectangular microstructure,laser-stricken damage,alumina ceramic layer
更新于2025-09-16 10:30:52
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Optimization of a rear system based on Titanium Nitride for a flexible CuInSe2 solar cell
摘要： Flexible thin film solar cells represent the future. This study concentrates on making CuInSe2 based solar cells non rigid by depositing the rear molybdenum contact onto inox 316. In order to overcome the Inox316 disadvantages such as the metallic impurities diffusion and the surface roughness, a bi-layer TiN/Ti have been introduced between the Mo rear contact and Inox 316. Two techniques have been employed: spray pyrolysis for CuInSe2 and by cathodic magnetron sputtering for Mo/TiN/Ti. CuInSe2 layers deposited onto glass substrates present high crystallinity with (112) preferred orientation at 550°C. However, these properties disappear for CuInSe2 on Inox316 with missing peak (112) and fall in the ratio Se/Cu from 1.9 to 1.1. According to EDS analysis, these results may be due to the Fe and Cu diffusion from Inox316 to CuInSe2 film, this is why the presence of TiN/Ti bi-layer improves the surface condition of Inox 316 and reduces Iron presence from 9.7% to 1.9% and Cr from 3.8% to 0.5%; this confirms its efficiency to improve the solar cell performance using Inox316 substrate.
关键词： CuInSe2 solar cells,TiN/Ti,roughness substrate,diffusion barrier,Inox 316
更新于2025-09-16 10:30:52