scholarly journals Optimization of Geometry Parameters of Inkjet-Printed Silver Nanoparticle Traces on PDMS Substrates Using Response Surface Methodology

Materials ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3329 ◽  
Author(s):  
Jumana Abu-Khalaf ◽  
Loiy Al-Ghussain ◽  
Ahmad Nadi ◽  
Razan Saraireh ◽  
Abdulrahman Rabayah ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Line Width ◽  
Silver Nanoparticle ◽  
Inkjet Printing ◽  
Cost Effective ◽  
Optimal Number ◽  
Gauge Factor ◽  
Straight Line ◽  
Input Parameters

Inkjet printing is an emerging technology with key advantages that make it suitable for the fabrication of stretchable circuits. Specifically, this process is cost-effective and less complex compared to conventional fabrication technologies. Inkjet printing has several process and geometry parameters that significantly affect the electromechanical properties of the printed circuits. This study aims to optimize the geometry parameters of inkjet-printed silver nanoparticle traces on plasma-treated polydimethylsiloxane (PDMS) substrates. The optimization process was conducted for two printed shapes, namely straight line and horseshoe patterns. The examined input factors for the straight line traces were: the number of inkjet-printed layers and line width. On the other hand, the number of cycles and amplitude were the examined input parameters for the horseshoe shape. First, the optimal number of layers and line width were found from the straight line analysis and subsequently were used in the optimization of the horseshoe pattern parameters. The optimization of the input parameters was carried out using the response surface methodology (RSM), where the objective of the optimization was to maximize the breakdown strain of the traces while maximizing the gauge factor and minimizing the ink cost. The results indicate that a 1.78 mm line width and one layer are the optimal geometry parameters for the straight line traces, while for the horseshoe pattern, the optimal parameters are one layer, a line width of 1.78 mm, amplitude of 4 mm and one cycle. The optimal straight line was designed to sustain up to 10% strain while the horseshoe pattern was designed to sustain up to 15% strain.

scholarly journals Modeling and Analysis of Machining Parameters and Responses of Wirecut Electric Discharge Machining of Al2124/SiCp using Response Surface Methodology and Soft Computing Techniques

2019 ◽  
Vol 8 (2) ◽  
pp. 5429-5434
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Soft Computing ◽  
Electric Discharge ◽  
Optimization Techniques ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Soft Computing Techniques ◽  
Input Parameters ◽  
Single Objective

In this work, Wirecut Electric Discharge Machining (WEDM) of Al 2124/ SiCp metal matrix composite material is studied to evaluate the influence of input parameters on response characteristics namely, kerf, Material Removal Rate (MMR), Surface Roughness (SR), Recast Layer Thickness (RCT), and Surface Crack Density (SCD). Central composite design, a technique from design of experiments is used to conduct 31 experiments. The input parameters selected for estimation of machinability are pulse on time (Ton), pulse off time (Toff), current (IP), and Servo Voltage (SV). Analysis of variance (ANOVA) is carried out to know the effect of influence parameters on responses. The regression models are developed in Response Surface Methodology (RSM)and are used in soft computing techniques as input equations for optimizing the single and multi-response optimization of response parameters. Desirability approach is used in single and multi-objective optimization of response parameters. Single objective optimization is carried out by RSM, the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Firefly Algorithms (FA). Confirmation experiments are conducted on the adequacy of the mathematical models developed in RSM and it shows good agreement between experimental and predicted values. The variation of predicted responses from different optimization techniques for single objective optimization is found to be less than 1%. From the results it is also observed that for single objective optimization all evolutionary algorithms are found to be suitable for WEDM

Experimental investigation of machinability and geometrical behavior of Titanium Alloy (Ti–6Al–4V) using Abrasive Waterjet Circular cut using Response Surface Methodology-Desirability approach

2021 ◽  
Author(s):  
Umanath Karuppusamy ◽  
Devika D ◽  
Rashia Begum S
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Titanium Alloy ◽  
Response Surface ◽  
Process Parameters ◽  
Abrasive Waterjet ◽  
Optimum Level ◽  
Machining Parameters ◽  
Input Parameters ◽  
Desirability Approach

Abstract In the current study, the research explored the effect of the process parameters on the Titanium Alloy (Ti–6Al–4V) to improve the machining, surface and geometric characteristics of the circular cut-off profile by determining the optimum parameters for the Abrasive Water Jet Machining (AWJM). The input parameters considered are the Abrasive Flow Rate (AFR), Stand-off Distance (SoD), and Traverse Rate (TR). There are various input parameters to evaluate output parameters like Circularity, Cylindricity, and Surface Roughness (SR) of the circular cut profile. The experiments are conducted using Central Composite Design (CCD) in the Response Surface Methodology (RSM). Analysis of variance (ANOVA) is carried out to define most influenced process parameters and percentage of contribution. The RSM is used to predict the mathematical models for formulating the objective function using experimental results. RSM desirability approach is included in the method for determining optimum levels and discerning impacts on response variables of machining parameters. Confirmation tests with an optimum level of machining parameters have been completed to determine the adequacy of the RSM. In addition to that, the cutting profiles are also analysed using Scanning Electron Microscope (SEM). The Atomic Force Microscope(AFM) is often used to verify the minimum Surface Roughness of the AWJM machined surface.

Hydrotropic Extraction of Xanthones from Mangosteen Pericarp

2014 ◽  
Vol 984-985 ◽  
pp. 372-376 ◽  
Author(s):  
D. Gnana Prakash ◽  
Pradeep Panneerselvam ◽  
Sai Madhusudanan ◽  
V. Aditya
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sodium Salicylate ◽  
Cost Effective ◽  
Separation Process ◽  
Extraction Technique ◽  
Solid Loading ◽  
Extraction Temperature ◽  
Optimal Conditions

A novel separation process for extraction of xanthones from mangosteen pericarp was investigated using aqueous hydrotrope solution. The hydrotropes sodium salicylate was used for the extraction. The effects of factors such as hydrotrope concentration, extraction temperature and solid loading were investigated by using Response Surface Methodology (RSM). The optimal conditions to obtain the highest yield of xanthones were 2M sodium salicylate, extraction temperature of 40°C and 3% solid loading. This hydrotropic extraction technique is simple and cost effective for the separation of bioactive compounds.Key words: Xanthones; Hydrotropes; Hydrotropic extraction

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