- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Multi Response Optimization of Nd:YAG Laser Micro Drilling Characteristics of 304 Stainless Steel using Desirability Function Approach
摘要： Laser micro drilling is a non-traditional machining process for producing micro hole of various sizes and different angle in many modern industrial application, such as aerospace gas turbine, automobile industry, electronics field etc. Laser drilling is extremely high speed with high aspect ratio. However, the quality and accuracy of the holes can be excellent, if the optimal process parameter has set. It is difficult to achieve exact size of hole as per suggested by the equipment manufacturer without any consideration. So this paper addressed to investigate influence of process parameter on drilling characteristics of 304 stainless steel of 1.5 mm thickness material using Nd:YAG laser drilling through desirability function optimization technique. The effect of process parameter taken during machining operation is average power, nozzle stand-off, nitrogen gas pressure to obtain requisite hole quality. The output responses are entry circularity, exit circularity and taper angle were considered performance criteria for the experimentation. Analysis of variance (ANOVA) has been performed to find out the significant process parameter during the micro drilling process. It is found that nitrogen gas pressure is highly influencing factor on the overall response characteristics, which is about 54.62% and nozzle standoff is 2nd highest influencing parameter, which is about 27.69%.
关键词： 304 Stainless Steel,Laser Drilling Machine,Optimization,Desirability,ANOVA
更新于2025-09-16 10:30:52
-
Potential impact of climate change on solar resource in Africa for photovoltaic energy: analyses from CORDEX-AFRICA climate experiments
摘要： The development of renewable electricity in Africa could be massive in coming decades, as a response to the rapid rising electricity demand while complying with the Paris Agreements. This study shows that in the high-resolution climate experiments of CORDEX-AFRICA, the annual mean solar potential is expected to decrease on average by 4% over most of the continent by the end of the century, reaching up to 6% over the Horn of Africa, as a direct result of decrease in solar radiation and increase in air surface temperature. These projections are associated with large uncertainties, in particular over the Sahel and the elevated terrains of eastern Africa. While the expected decrease may affect the sizing of the numerous solar projects planned in Africa for the next decades, this study suggests that it does not endanger their viability. At last, this study indicates that the design of such projects also needs to account for the non-negligible uncertainties associated with the resource.
关键词： climate change,solar potential,solar radiation change,solar resource assessment,Bayesian ANOVA method,model projections
更新于2025-09-16 10:30:52
-
Parametric Analysis of High Power Disk Laser Welding of 5052-H32 Aluminium Alloy
摘要： High power disk laser conducting welding of 2 mm thick AA 5052-H32 was performed within a process window and optimized for improved weld quality (i.e. penetration depth). The macrostructure of the weldment was investigated for the weld penetration depth at varying processing parameters using stereo zoom optical microscopy. The significance of the single effects and interaction effects of the parameters on the weld penetration depth was determined using ANOVA. Maximum weld penetration depth (1.71 mm) was achieved at laser power of 2600 W, welding speed of 0.03 m/s and focal position of -3.75 mm. At 95% confidence, only the welding speed –focal position interaction was found to contribute significantly to the weld penetration depth. The effect of the welding speed was most noticeable at low focal position (F < -3.9), that is, when the workpiece is further away from the focus. A linear regression mathematical model predicting the penetration depth of AA 5052-H32 disk laser weldments to an accuracy of 86% was developed and validated.
关键词： AA 5052-H32 Aluminium Alloy,Optimisation,Regression Model,Disk Laser Welding,ANOVA,Penetration Depth
更新于2025-09-16 10:30:52
-
Modeling on surface cut quality of CO2 laser cutting for Austenitic Stainless steel sheet
摘要： CO2 Laser cutting is the widely used in the cutting process in which quality of ?nished product mainly depends on the input parameters are Laser beam power, Cutting speed and Assist gas pressure. By considering responses are Heat affected zone of the AISI 304 Stainless Steel material. These work we are using response surface methodology are used, in this techniques are very helpful to identi?ed to develop the different mathematical modeling of this processes ?nally best mathematical model are developed.
关键词： AISI 304,Heat affected zone,CO2 laser cutting,ANOVA,RSM
更新于2025-09-16 10:30:52
-
Experimental Investigations To Optimize Process Parameters For CO2 Laser Welded Alloy Steel Automotive Gears
摘要： In the present research, CO2 laser welding process is successfully applied and optimized for joining automotive gears of 16MnCr5 Alloy Steel. The combinations of laser power and speed of welding are optimized with the aim to produce welded joint in automotive gear-synchro assembly with required weld depth, weld width and weld strength. Taguchi method of “Design of Experiments (DOE)” and ANOVA have been used as statistical design tools and techniques for optimizing the selected welding process parameters. Further, variation transmission analysis technique has also been applied to determine the range of input variable that gives least variability of the output. The result of this research effort indicates that the developed models are capable of predicting the responses with negligible errors.
关键词： ANOVA,Taguchi Method,Alloy Steel 16MnCr5,Variability Transmission,DOE,CO2 LASER
更新于2025-09-12 10:27:22
-
Micromachining on Al-Sic Based Metal Matrix Composite Using DPSS Laser
摘要： Aluminum silicon carbide is a metal matrix composite largely used where strength to weight ratio and high thermal conductivity is primary in design criteria. It has wide application in Aerospace components, Automobiles & electronics industries. Present work deals in micro-grooving of this hard to machine material is carried out by diode pumped solid state pulsed Nd:YAG Laser. The experimental plan is carried out by CCD (central composite design) based on RSM (response surface methodology).Also the analysis of variance test is carried out to check the adequacy of the fitted regression mathematical models. Proper ranges of process parameters such as pulse width, pulse frequency, amount of current, assist air pressure were purposed. Screening test shows O2 as assist gas when used 0.2 to 1 kgf/cm2 pressure range gives best result because of its advantage during laser material interaction. The responses are taken as upper width deviation, lower width & depth deviation of micro-groove produced on Al-SiC material. The interaction effects of different parameters on responses are analyzed through surface plots generated. Optimal process parametric conditions are found out by utilizing meta-heuristic based search algorithm MOPSO (multi objective particle swamp optimization) technique.
关键词： MMC,ANOVA,Nd:YAG,RSM,SEM
更新于2025-09-12 10:27:22
-
Determination of Variance of Secondary Metabolites in Lettuces Grown Under Different Light Sources by Flow Injection Mass Spectrometric (FIMS) Fingerprinting and ANOVA–PCA
摘要： Lettuce (Lactuca sativa L.) is one of the most consumed vegetables in the world and different management practice can result in considerable variability of the secondary metabolites. Flow injection mass spectrometry (FIMS) combined with analysis of variance–principle component analysis (ANOVA–PCA) was used to study differences in the secondary metabolites originating from different lighting conditions (Sunlight, white light, and florescent light) and lettuce varieties (Romaine and Lollo Rossa). Ultra-high-performance liquid chromatography–high-resolution accurate mass spectrometry was used for putative marker compound identification. Quinic acid, caffeic acid, chlorogenic acid, L-chicoric acid, and quercetin malonyl glucoside varied significantly for Romaine lettuce grown under different light conditions. The study showed that the combination of FIMS fingerprinting and ANOVA–PCA can be a useful tool for the characterization of the sources of variance in plant materials regarding to genetic, environmental, and management factors.
关键词： Lactuca sativa L.,Flow injection mass spectrometric fingerprinting,ANOVA–PCA,Lettuce
更新于2025-09-10 09:29:36