<span style="font-size:15.0pt;mso-bidi-font-size: 11.0pt;font-family:"Times New Roman";mso-fareast-font-family:"Times New Roman"; mso-bidi-font-family:Mangal;mso-ansi-language:EN-GB;mso-fareast-language:EN-US; mso-bidi-language:HI;mso-bidi-font-weight:bold" lang="EN-GB">Hydrophobic, cross-linked and photoactive cotton fabric using nano TiO₂ and BTCA —Statistically optimized by RSM</span>

35-43<span style="font-size:9.0pt;mso-bidi-font-size: 12.0pt" lang="EN-GB">This study explores a new method to produce a cotton fabric with hydrophobicity, cross-linking, and photoactivity properties. Cotton fabric has been treated with nano titanium dioxide as a photo-catalyst and 1,2,3,4 butane tetra carboxylic acid as a friendly cross-linking agent in an ultrasonic<span dir="RTL" style="font-size:12.0pt;mso-ansi-font-size: 9.0pt;font-family:Mangal;mso-ascii-font-family:" times="" new="" roman";mso-hansi-font-family:="" "times="" roman""="" lang="EN-GB"> bath. The photoactivity is tested by discoloration of the stained fabric with Direct Sky Blue 5B under UV-C (254 nm) irradiation. The treated fabric indicates a reasonable hydrophobicity along with photoactivity and cross-linking. The results indicate that the color variation under UV irradiation is higher for the cotton fabric treated with TiO2. However, the photoactivity of the treated fabric decreases after repeated laundering. Moreover, the creasing properties of the nano TiO2 treated cotton fabrics decrease considerably. The SEM images show a TiO2 layer on the cotton fibres. The experimental data processing has been carried out by response surface methodology based on central composite design introducing three optimized models. </span

Economic design of control charts with multiple assignable causes under Burr XII shock model

Control charts show the distinction between the random and assignable causes of variation in a process. The real process may be affected by many characteristics and several assignable causes. Therefore, the economic statistical design of multiple control chart under Burr XII shock model with multiple assignable causes can be an appropriate candidate model. In this paper, we develop a cost model based on the optimization of the average cost per unit of time. Indeed, the cost model under the influence of a single match case assignable cause and multiple assignable causes under a same cost and time parameters were compared. Besides, a sensitivity analysis was also presented in which the changeability of loss-cost and design parameters were evaluated based on the changes in cost, time and Burr XII distribution parameters

Design Optimization of Current Transformers Using Robust Design Methodology

current transformer, robust design, system design, parameter design,

Economic statistical design of a multivariate control chart under a Burr XII shock model with multiple assignable causes

peer reviewedControl charts show the distinction between the random and assignable causes of variation in a process. The real process may be affected by many characteristics and several assignable causes. Therefore, the economic statistical design of multiple control chart under Burr XII shock model with multiple assignable causes can be an appropriate candidate model. In this paper, we develop a cost model based on the optimization of the average cost per unit of time. Indeed, the cost model under the influence of a single match case assignable cause and multiple assignable causes under a same cost and time parameters were compared. Besides, a sensitivity analysis was also presented in which the changeability of loss-cost and design parameters were evaluated based on the changes in cost, time and Burr XII distribution parameters. © 2018 Informa UK Limited, trading as Taylor & Francis Group