Objective: To determine the association between expectation levels and sociodemographic factors among prosthodontic patients requiring removable partial dentures (RPD). Material Methods: A total of 174 participants were selected using a consecutive non-probability technique at Khyber College Dentistry, Peshawar. The study included both genders, aged 16 65 years, who required new RPD. Patients with previous denture wear, as well those mental or physical disabilities, excluded. Detailed...

Objectives: To determine the mean value of angle among three variants ala-tragus line (ATL) and OP in dentate individuals to identify which is parallel OP.Materials Methods: This descriptive cross-sectional study included 190 subjects both gender with age range 20-40 years fulfi lling inclusion criteria. Left Profi le photograph participant was taken a digital camera (Canon 600D) natural head position holding Fox between teeth. Image analyzed using Adobe Photoshop CS6 software most...

Abstract The present research work was carried out to develop the prediction models for blended ring spun yarn evenness and tensile parameters using artificial neural networks (ANNs) multiple linear regression (MLR). Polyester/cotton blend ratio, twist multiplier, back roller hardness break draft ratio were used as input predict in terms of CVm% properties tenacity elongation. Feed forward with Bayesian regularisation support successfully trained tested available experimental data....

Modernization and the global fashion market demand continuous improvements in upland cotton cultivars (Gossypium hirustum L.) to meet these improved fiber characteristics (fiber length, strength, micronaire) requirements. Researchers have centered their efforts on quality; however, are not immediately supporting textile sector. The daily mean temperature amplitude fluctuation affect yield characteristics. This study analyzed four newly developed varieties two regions for characteristics’...

The present work involves the optimization of extraction and dyeing recipes to standardize procedure for natural dye obtained from petals marigold (Tagetes erecta). resultant at optimized conditions was applied on cotton fabric study effect temperature, time, material liquid ratio (M:L), salt concentration mordanting. Colorimetric data colour fastnesses were studied evaluation optimum conditions. It observed that parameters have significant characteristics dyed fabric. were; M:L 1:20, time...

Abstract Softener application on fabric surface facilitates the process and wear abilities of fabric. However, softeners other functional finishes influence color dyed fabrics, which results in shade change final finished fabrics. This article presents method intelligent prediction knitted fabrics after finishing by using artificial neural networks (ANNs). Individual are trained for delta values (ΔL, Δa, Δb, Δc, Δh) samples with help reflectance along color, percentage, concentrations, were...

Two environment-friendly short chain fluorocarbons, oleophobol and phobol, were evaluated on cotton fabric. The effect of combination two fluorocarbons the with zero formaldehyde cross-linker (DHEU) to enhance performance durability was also scrutinized. Repellency treated fabric appraised by measuring water repellency, oil repellency contact angle. Washing finished enhanced incorporation into recipe oleophobol. physical comfort properties examined tensile strength, tear strength vapor permeability

Polyesters based advanced thin films have versatile industrial applications, especially in the filed of textiles, packaging and electronics. Recent advances polymer science engineering resulted development amorphous semi-crystalline polyesters with exceptional performance compared to conventional polymeric films. Among these, 1,4-cycloheanedimethanol (CHDM) cyclic monomer-based gained considerable attention for their characteristics potential applications smart This review article provides a...

Abstract Cotton fibre maturity is the measure of cotton’s secondary cell wall thickness. Both immature and over-mature fibres are undesirable in textile industry due to various problems caused during different manufacturing processes. The determination cotton vital importance methods techniques have been devised or calculate it. Artificial neural networks power model complex relationships between input output variables. Therefore, a was developed for prediction using characteristics. results...

Natural dyes are environment friendly in nature and cannot cause any harmful effects as is the case with most of synthetic dyes. Nevertheless, natural exhibited weak interaction between fabric dye, which resulted poor shade depth durability problems for cotton fabric. This research work an endeavor to apply combination eco-friendly cross-linker enhance performance Moreover, pH dyeing solution imparted significant effect on color characteristics fabrics dyed acacia dye.

Natural dyeing has been the focus of many previous researches as a substitute for synthetic dyeing, which is known hazardous process. However, limitations in color range and poor fastness properties are main obstacles further development natural processes. This work corresponds to inclusion ultrasonic energy enhance yield fabrics dyed with dyes. Cotton were acacia dye using conventional infrared exhaust assisted procedures. Moreover, effects different processing factors like temperature,...

The final attenuation and twisting of fiber take place at ring spinning machine hence its optimized performance is very crucial in terms yarn quality. Drafting has a decisive effect on There exist many influencing parameters the geometry that have to be for manufacturing quality yarn. present research work was carried out develop Artificial neural networks (ANN) based prediction model polyester/cotton blended spun yarns by using these as inputs. ANN developed resilient backpropogation...

Textile finishing is the last stage to improve fabric aesthetic characteristic and impart functional properties, but at same time it can produce some undesirable effects like shade change variation in mechanical properties of fabric. These variations are create major losses for textile industry. related rework reprocessing dyed after finishing. To cope this issue, dyers making decision on trial error bases, therefore, work has been conducted quantify value. In research work, an artificial...

From the present research work it is concluded that properties of ring spun yarn are better than air-jet yarn. Under different blend ratios, and fabric tensile improved gradually as share polyester in was increased. However under two spinning systems (ring air-jet), strength, knitted fabrics greater compared to The results indicated strength well weight showed highly significant effects machine blending ratio.

This research was aimed to develop artificial neural network (ANN) models predict yarn crimp in woven barrier fabrics. For ANN training, 52 polyester (PES) multifilament fabrics were produced by varying weft and filament fineness, type, density, weave loom parameters. The supervised training of performed using Matlab® toolbox function 'trainbr' which is the incorporation Levenberg-Marquardt (LM) optimization automated Bayesian regularization into backpropagation. From modeling outcomes, it...

In this research work, low temperature curing of crease recovery finishes was done with the help ZnO nanoparticles as catalyst in presence UV radiation. The results were compared conventional and thermal system.

Human thermal comfort within various environmental conditions is of paramount importance in a wide range industries, including clothing design, indoor climate control, and occupational safety. Researchers are always search the sophisticated tools techniques that simulate regulation human body under different conditions. The present research aims to precise methodology for simulation clothed manikin controlled A comprehensive method recommended consists use 3D scanning technology, 2D CAD as...