scholarly journals Grey fuzzy logic approach for the optimization of DLC thin film coating process parameters using PACVD technique

2017 ◽  
Vol 217 ◽  
pp. 012034 ◽  
Author(s):  
R.K. Ghadai ◽  
P.P. Das ◽  
I. Shivakoti ◽  
S. C. Mondal ◽  
B. P. Swain
Keyword(s):  
Thin Film ◽  
Fuzzy Logic ◽  
Process Parameters ◽  
Film Coating ◽  
Coating Process ◽  
Thin Film Coating ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Flow and Film-Forming Characteristics Analysis of Non-Newtonian Fluid Slot Coating

2014 ◽  
Vol 939 ◽  
pp. 539-546
Author(s):  
Wei Chu Shu ◽  
Tsai Fang Wu ◽  
Ren Haw Chen ◽  
Kuei Yuan Cheng ◽  
Chih Wei Hsieh
Keyword(s):  
Thin Film ◽  
Shear Rate ◽  
Newtonian Fluid ◽  
Process Parameters ◽  
Film Coating ◽  
Simulation Software ◽  
Coating Process ◽  
Thin Film Coating ◽  
Slot Coating ◽  
Simulation Results

The slot coating process in the production of polymer films has a wide range of applications. However, the process cannot be systemized. This study used the computational fluid dynamics software Polyflow to analyze the slot coating process and investigate the influence that the process parameters have on the characteristics of thin-film coating to reduce the time and cost consumed in the experimental methods. The rheological characteristics of the non-Newtonian fluid used in this study were first identified by conducting experiments, and then configured in the simulation software for fitting with mathematical models. In addition, the models of the slot coating process were constructed, and the Arbitrary Lagrangian-Eulerian (ALE) calculation methods were then used in the Polyflow software. The simulation results were then compared to the experimental results and the findings reported in relevant literature, to determine the influence that the process parameters have on the characteristics of thin-film coating. The simulation results were represented graphically in a coating window plot. The comparison results indicate that the viscosity-shear rate characteristic of the material in the shear rate range of optical film coating is an excellent fit for the Cross Law. When the coating speed is too high or the amount of fluid supply is insufficient, phenomena such as break lines, uneven thickness, and air entrainment can occur.

Conjugated polymers for thin film coating process

2001 ◽  
Vol 708 ◽  
Author(s):  
Zhexiong Tang ◽  
Wenguang Li ◽  
Cheryl Nowak ◽  
Sze Yang
Keyword(s):  
Thin Film ◽  
Molecular Weight ◽  
Acrylic Acid ◽  
Conjugated Polymers ◽  
Film Coating ◽  
Polymer Complex ◽  
Coating Process ◽  
Thin Film Coating ◽  
Polymer Complexes ◽  
Poly Acrylic Acid

ABSTRACTIn this paper, we present the syntheses of the conjugated polymers of different “effective molecular weights.” The goal is to be able to optimize the thin film coating process without compromising the electronic, optical and electroactive properties.Our strategy for controlling the effective molecular weight is to synthesize a double-strand conducting polymer that is an inter-polymer complex of a polymeric dopant and a conjugated polymer. The first strand of the two-strand complex is either a polyaniline or a polypyrrole chain, while the second strand is a poly(acrylic acid). The molecular weight of poly(acrylic acid) is used as a parameter for adjusting the coating and film-forming properties.We found that the inter-polymer complexes are dispersible in water. The dispersion stability is strongly dependent on the molecular weight of the poly(acrylic acid) strand. The dispersion is more stable for polymers synthesized with higher molecular weight of poly(acrylic acid). We also found that the particle size and particle morphology are dependent on the effective molecular weight.

scholarly journals Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 680 ◽  
Author(s):  
Muhammad Aamir ◽  
Shanshan Tu ◽  
Majid Tolouei-Rad ◽  
Khaled Giasin ◽  
Ana Vafadar
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Taguchi Method ◽  
Process Parameters ◽  
Cutting Speed ◽  
Hole Drilling ◽  
Hole Size ◽  
Drilling Parameters ◽  
Fuzzy Logic Approach ◽  
Logic Approach

In industries such as aerospace and automotive, drilling many holes is commonly required to assemble different structures where machined holes need to comply with tight geometric tolerances. Multi-spindle drilling using a poly-drill head is an industrial hole-making approach that allows drilling several holes simultaneously. Optimizing process parameters also improves machining processes. This work focuses on the optimization of drilling parameters and two drilling processes—namely, one-shot drilling and multi-hole drilling—using the Taguchi method. Analysis of variance and regression analysis was implemented to indicate the significance of drilling parameters and their impact on the measured responses i.e., surface roughness and hole size. From the Taguchi optimization, optimal drilling parameters were found to occur at a low cutting speed and feed rate using a poly-drill head. Furthermore, a fuzzy logic approach was employed to predict the surface roughness and hole size. It was found that the fuzzy measured values were in good agreement with the experimental values; therefore, the developed models can be effectively used to predict the surface roughness and hole size in multi-hole drilling. Moreover, confirmation tests were performed to validate that the Taguchi optimized levels and fuzzy developed models effectively represent the surface roughness and hole size.

scholarly journals Analysis and optimization of ultrasonic copper wires using fuzzy logic approach

2019 ◽  
Vol 28 ◽  
pp. 01019
Author(s):  
Jacek Zawadzki ◽  
Cezary Jędryczka
Keyword(s):  
Fuzzy Logic ◽  
Process Parameters ◽  
Fusion Welding ◽  
Manufacturing Industries ◽  
Additional Material ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Weld Time ◽  
Peel Stress ◽  
Short Time

Ultrasonic welding has been used in the market over the past thirty years and offer to the manufacturing industries like automotive, aviation, medical and many more due to various hurdles faced by conventional fusion welding or crimp processes. Very short time (less than 1 second) and no additional material during the connection process are very key advantages. Due to this fact this technology can be used for mass production. Plenty of times, the problems faced by industry due to this process are the poor weld quality and strength of the joints surface. In presented study, the process parameters like vibration amplitude, weld pressure and weld time are considered in analysis of the welding of copper wires (Cu- ETP1). Experiment is conducted according to the fractional design with replications to get the responses like tensile shear stress and T-peel stress of the weld. Measured data are utilized next to develop fuzzy logic model between responses and predictors. As a quality is an very important issue in these manufacturing industries, the optimal combinations of studied process parameters are found using fuzzy logic approach.

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