Optimization of EDM process parameters for Al-SiC reinforced metal matrix composite

Volume 8 Issue 2 (February 201

Sensitivity Analysis of Process Parameters in Laser Deposition

In laser cladding with powder injection process, process output parameters, including melt pool temperature and melt pool dimensions, are critical for part quality. This paper uses simulation and experiments to investigate the effect of the process input parameters: laser power, powder mass flow rate, and scanning speed on the output parameters. Numerical simulations and experiments are conducted using a factorial design. The results are statistically analyzed to determine the significant factors and their interactions. The simulation results are compared to experimental results. The quantitative agreement/disagreement is discussed and further research is outlined.Mechanical Engineerin

Optimization of Process Parameters in WEDM by using Taguchi Method

This research represents the parametric optimization of Wire EDM on machining die steel DC53. The objective of the present work was to investigate the effects of the various Wire EDM process parameters using Taguchi on the machining quality and to obtain the optimal sets of process parameters so that the quality of machined parts can be optimized. The machining parameters selected for present research were Pulse on time, pulse off time and wire feed. A series of nine experiments were conducted using Wire EDM. The ANOVA was employed to analyze the influence of these parameters on Material removal rate during machining process. The results showed that the input parameters setting of pulse on time at 120µs, pulse off time at 60µs and wire feed at 6mm/min have given the best results for optimization of Material removal rate

Determination of Terminal Sterilization Process Parameters

Time, temperature, and microbial effects on terminal heat sterilization of spacecraf

Laser dimpling process parameters selection and optimization using surrogate-driven process capability space

Remote laser welding technology offers opportunities for high production throughput at a competitive cost. However, the remote laser welding process of zinc-coated sheet metal parts in lap joint configuration poses a challenge due to the difference between the melting temperature of the steel (∼1500 C) and the vaporizing temperature of the zinc (~907 C). In fact, the zinc layer at the faying surface is vaporized and the vapour might be trapped within the melting pool leading to weld defects. Various solutions have been proposed to overcome this problem over the years. Among them, laser dimpling has been adopted by manufacturers because of its flexibility and effectiveness along with its cost advantages. In essence, the dimple works as a spacer between the two sheets in lap joint and allows the zinc vapour escape during welding process, thereby preventing weld defects. However, there is a lack of comprehensive characterization of dimpling process for effective implementation in real manufacturing system taking into consideration inherent changes in variability of process parameters. This paper introduces a methodology to develop (i) surrogate model for dimpling process characterization considering multiple–inputs (i.e. key control characteristics) and multiple–outputs (i.e. key performance indicators) system by conducting physical experimentation and using multivariate adaptive regression splines; (ii) process capability space (Cp–Space) based on the developed surrogate model that allows the estimation of a desired process fallout rate in the case of violation of process requirements in the presence of stochastic variation; and, (iii) selection and optimization of the process parameters based on the process capability space. The proposed methodology provides a unique capability to: (i) simulate the effect of process variation as generated by manufacturing process; (ii) model quality requirements with multiple and coupled quality requirements; and (iii) optimize process parameters under competing quality requirements such as maximizing the dimple height while minimizing the dimple lower surface area

Optimization Of Process Parameters On Tensile Shear Load Of Friction Stir Spot Welded Aluminum Alloy (Aa5052-h112)

Optimization of the process was still the issue in manufacturing. Investigation on the process parameters that effects to the property of welded structure were necessary. In this study, the AA5052-H32 sheets of 2 mm thick were welded using friction stir spot welding (FSSW) and tested via tensile shear load test to investigate the influence of spindle speed, tool depth, and dwell time to the tensile shear load of the joints. The result shows that in every set of parameter combination, exhibit interesting influence to the tensile shear load. The effect of spindle speed of 1000 rpm shown the good property in average 18.33 KN especially at tool depth of 3.5 mm. Furthermore, the effect of tool depth brought significant effect to the tensile shear load especially at 3.5 mm for each set of spindle speed and dwell time. The set of dwell time to parameter combination had no significant effect to the tensile shear load. The good tensile shear load could be achieved in the range of 17.7-19.3 KN at 3.5 mm of plunge depth and 1000 rpm of spindle speed, where the best one was 19.3 KN at 7s of dwell time

A Stochastic Process Approach of the Drake Equation Parameters

The number N of detectable (i.e. communicating) extraterrestrial civilizations in the Milky Way galaxy is usually done by using the Drake equation. This equation was established in 1961 by Frank Drake and was the first step to quantifying the SETI field. Practically, this equation is rather a simple algebraic expression and its simplistic nature leaves it open to frequent re-expression An additional problem of the Drake equation is the time-independence of its terms, which for example excludes the effects of the physico-chemical history of the galaxy. Recently, it has been demonstrated that the main shortcoming of the Drake equation is its lack of temporal structure, i.e., it fails to take into account various evolutionary processes. In particular, the Drake equation doesn't provides any error estimation about the measured quantity. Here, we propose a first treatment of these evolutionary aspects by constructing a simple stochastic process which will be able to provide both a temporal structure to the Drake equation (i.e. introduce time in the Drake formula in order to obtain something like N(t)) and a first standard error measure.Comment: 22 pages, 0 figures, 1 table, accepted for publication in the International Journal of Astrobiolog

Effect of Process Parameters on the Single Adsorption of Zinc and Nickel ions Using Activated Carbon from Waste Nigerian Bamboo

The study focused on the effect of process parameters on the single adsorption of Zinc and Nickel ions using activated carbon from waste Nigerian bamboo.nbsp The bamboo was cut into sizes, washed,nbsp dried and carbonized at 300oC-500oC. The carbonized bamboo was then activated at 800oC using nitric acid.nbsp The effect of process parameters such as particle size, carbon dosage, initial concentration of adsorbate on the single adsorption of Zinc and Nickel ions in aqueous solution was also investigated and were found to significantly affect the adsorption capacity of Zinc and Nickelnbsp ions in solution using activated carbon from waste Nigerian bamboo. For optimum adsorption of Zinc and Nickel ions in solution, particle size of Nigerian bamboo activated carbon less than 150 mm should be used for batch operations. The amount of Nickel ions adsorbed at equilibrium within initial adsorbate concentration of 28mg/L - 223mg/L was 28mg/g - 170mg/g, while The amount of Zinc ions adsorbed at equilibrium within initial concentration of 28mg/L - 227mg/L was 26mg/g - 185mg/gnbsp for carbon dosage of 10g/L .nbsp The results obtained showed that Nigerian Bamboo is highly effective in the single adsorption of Zinc and Nickel ions in solution

Material and Process Parameters that Affect Accuracy in Stereolithography

Experimental real time linear shrinkage rate measurements simulating stereolithography are used in an analysis of shrinkage during line drawing in stereolithography. While the amount of shrinkage depends on the polymerization kinetics, shrinkage kinetics and overall degree of cure, it also depends on the length of time to draw a line of plastic. A line drawn slowly will exhibit less apparent shrinkage than one drawn very quickly because much of the shrinkage is compensated for as the line is drawn. The data also indicates that a typical stereolithography resin in the green state may shrink to only 65% of its maximum, thus retaining considerable potential for shrinkage during post-cure. This infonnation can be used to predict the amount of shrinkage to be expected under certain exposure conditions and to fonnulate overall strategies to reduce shrinkage and subsequent warpage that causes shape distortion.Mechanical Engineerin