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In this study, polypropylene (PP)/polybutylene terephthalate (PBT) polyblend fibers that were melt spun at various blend ratios (5, 10, 20, 30 and 40 percent of the dispersed phase of the PBT) were prepared and the relation of the morphological, rheological and structural properties to dye uptake was investigated. The results show that the dye uptake of the PP/PBT polyblend fiber samples significantly increases when the dispersed phase content of the PBT is increased. An increase in the dispersed content of the PBT leads to interface improvement between the matrix and dispersed phase of the polyblend fibers, reduction in the crystallinity percentage and improvement in the adhesion bonds and active centers in the polyblend fibers for dye absorption. Positive deviation from the linear mixing rule observed in the melt viscosities is good evidence of the improvement in the morphology of the polyblend fiber samples.

This study aims at evaluating the properties of cotton fabric after nanofinishing using zinc oxide and silicon dioxide nanoparticles along with dimethylol dihydroxyethylene urea (DMDHEU).

DMDHEU recipes was optimized by Box-Behnken Design before using it with nanoparticles. These nanoparticles were synthesized by sol gel technique and applied to the fabric by pad-dry-cure method. The treated samples were evaluated for functional properties such as self-cleaning, antibacterial and ultraviolet (UV) protection properties.

Due to the use of DMDHEU, crease recovery property was obtained. The results showed good antibacterial property against S-aureus (gram positive) bacteria and E-coli (gram negative). UV protection property of combined nano-finished samples showed good results, as they showed very low transmission of UV-irradiation when exposed to UV-rays compared to single nanoparticle finished samples. Self-cleaning property of finished cotton was found to be good even after five washing cycles.

In this study, nanofinishing of cotton fabric with zinc oxide and silicon dioxide nanoparticles along with DMDHEU was studied to achieve promising functional properties with long durability of nanofinishing not studied earlier.

This study aims to investigate into the adsorption mechanism of heavy metal ions Pb²⁺ and methylene blue (MB) dyes on an adsorbent-web formed from kapok fibres (KP) and polypropylene fibres (PP).

Initially, the KP underwent pre-treatment with NaClO₂ solution, and their morphology and structure changes were examined through scanning electron microscope images. Subsequently, the KP fibres were blended with PP fibres at a ratio of 70 / 30 and processed through a laboratory carding machine to form a fibre web, which was then secured using a heat press to fabricate the adsorbent-web. The resultant adsorbent-web was subjected to evaluation for the adsorption process.

The findings revealed that the adsorbent-web produced via the dry-laid method exhibited promising attributes, and the adsorption process conformed to the pseudo-second-order model and the Langmuir isotherm model. Parameters such as adsorbent-web porosity, solution pH, and adsorption thermodynamics exerted notable influences on the adsorption capacity of the adsorbent-web. Notably, the adsorbent-web demonstrated remarkable reusability and desorption capacity. In the fifth cycle, the adsorption capacity of adsorbent-web for MB and Pb²⁺ ions only decreased by 9.13% and 11.48%, respectively, compared to the first cycle. The desorption efficiency of the adsorbent-web exceeded 90% for MB and over 73% for Pb²⁺ ions.

This study makes a significant contribution to the practical application of KP as an adsorbent-web for treating waste from the textile dyeing industry.

Everyone is extremely concerned about environmental protection and health safety due to the rise in living standards. Plant-derived natural dyes have garnered much industrial attention in food, pharmaceutical, textile, cosmetics, etc. owing to their health and environmental benefits. The present study aims to focus on the elimination of the use of synthetic dyes and provides brief information about natural dyes, their sources, extraction procedures with characterization and various advantages and disadvantages.

In producing natural colors, extraction and purification are essential steps. Various conventional methods used till date have a low yield, as these consume a lot of solvent volume, time, labor and energy or may destroy the coloring behavior of the actual molecules. The establishment of proper characterization and certification protocols for natural dyes would improve the yielding of natural dyes and benefit both producers and users.

However, scientists have found modern extraction methods to obtain maximum color yield. They are also modifying the fabric surface to appraise its uptake behavior of color. Various extraction techniques such as solvent, aqueous, enzymatic and fermentation and extraction with microwave or ultrasonic energy, supercritical fluid extraction and alkaline or acid extraction are currently available for these natural dyes and are summarized in the present review article.

If natural dye availability can be increased by the different extraction measures and the cost of purified dyes can be brought down with a proper certification mechanism, there is a wide scope for the adoption of these dyes by small-scale dyeing units.

The aim of the study is primarily to ensure the electrical conductivity of the nanocomposite textile surface that is produced. Subsequently, the sensor properties were determined by monitoring the resistance changes under tensile forces.

Thermoplastic polyurethane solution was prepared by adding MWCNT and SDS for the production of a nanocomposite textile surface by the electrospinning method. In the present study, it was aimed to improve the conductivity and sensor properties by increasing the surface area via nanotechnological production methods depending on the MWCNT and SDS ratios.

It was determined that the vertical and horizontal samples taken from the produced nanocomposite surfaces had electrical properties. In the present study, the relation between the SDS and MWCNT incorporation has been proven not only with the viscosity but also with the conductivity values of the solution. On the other hand, enhanced conductivity is obtained for the SDS-incoorporated nanocomposites for which homogeneous distribution is maintained. The findings of the study indicate that there were resistance changes for the produced nanocomposite surfaces under tension forces, and thus sensor properties were obtained.

It has been observed that studies on textile-based sensors have increased in recent years. In these studies, conductive materials are adapted to textile structures by coating and impregnation methods. In the present study, nanocomposite surfaces were obtained by the electrospinning method with the incoorporation of conductive MWCNT and SDS into a thermoplastic polyurethane solution. Owing to the homogeneous distribution of the conductive particles into the composite system, the conductivity of the nanomats was remarkably enhanced. For the obtained nanocomposite mats, resistance change under extension stress is maintained, and thus they can be utilized as strain sensors.

This paper aims to propose an innovative kinematic control algorithm for redundant robotic manipulators. The algorithm takes advantage of a bio-inspired approach.

A simplified two-degree-of-freedom model is presented to handle kinematic redundancy in the x-y plane; an extension to three-dimensional tracking tasks is presented as well. A set of sample trajectories was used to evaluate the performances of the proposed algorithm.

The results from the simulations confirm the continuity and accuracy of generated joint profiles for given end-effector trajectories as well as algorithm robustness, singularity and self-collision avoidance.

This paper shows how to control a redundant robotic arm by applying human upper arm-inspired concept of inter-joint dependency.

Older people have a different perception of ageing and different factors can influence this perception. Among the factors influencing the perception of ageing are various functions including physical, mental and social functioning of the elderly. Therefore, in this study, the authors intend to investigate the relationship between the perception of ageing and social functioning.

A systematic search was conducted of four electronic databases (PubMed, Embase, Web of Science and Scopus). Citations within identified reports were also searched. Studies were included if they included perceptions of ageing and social functioning measures involving older participants. Study selection and data extraction were conducted using predefined criteria. Older adults’ perceptions of ageing and social functioning were assessed with a variety of measures.

From a total of 79 articles, eight reports met the criteria for inclusion. In these studies, the positive and negative aspects of ageing perception and various social functions of the elderly in society such as economic, political, social activities; social support; and formal and informal participation have been raised.

The results of this narrative review demonstrate that there is a two-way relationship between the perception of ageing and social functioning. Therefore, it is suggested that appropriate practical and educational interventions be taken to increase the positive perception of ageing in the elderly and increase the social performance of the elderly in society.

Interaction plays a significant role in robotics and it is considered in all levels of hardware and software control design. Several models have been introduced and developed for controlling robotic interaction. This study aims to address and analyze the state-of-the-art on robotic interaction control by which it is revealed that both practical and theoretical issues have to be faced when designing a controller.

In this review, a critical analysis of the control algorithms developed for robotic interaction tasks is presented. A hierarchical classification of distributed control levels from general aspects to specific control algorithms is also illustrated. Hence, two main control paradigms are discussed together with control approaches and architectures. The challenges of each control approach are discussed and the relevant solutions are presented.

This review presents an evolvement trend of interaction control theories and technologies over time. In addition, it highlights the pros and cons of each control approaches with addressing how the flaws of one control approach were compensated by emerging another control methods.

This review provides the robotic controller designers to select the right architecture and accordingly design the appropriate control algorithm for any given interactive task and with respect to the technology implemented in robotic manipulator.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

The purpose of this paper is to present a computational fluid dynamic simulation for the investigation of the particles segregation phenomenon in the gas–solid fluidized beds.

These particles have the same size and different densities. The k–ε model and multiphase particle-in-cell method have been utilized for modeling the turbulent fluid flow and solid particles behaviors, respectively. The coupled equations of the velocity and pressure have been solved by using a combination of SIMPLE and PISO algorithms. After validating the simulation, different mixing indices, with different calculation bases, have been investigated, and it has been found that the Lacey mixing index, which was defined based on statistical concepts, is suitable to investigate the segregation/mixing phenomena of this bed in different conditions. Finally, the effects of parameters such as velocity, particle density ratio, jetsam concentration, and initial arrangement on the segregation/mixing behaviors of the bed have been studied.

The results show that the increase in the superficial gas velocity decreases the mixing index to a minimum value and then increases this index in the beds with mixed initial condition, unlike the beds with separated initial condition. Moreover, an increase in the particle density ratio increases the minimum fluidization velocity of the bed, and also the amount of segregation, and increase in the jetsam concentration increases the value of the mixing index.

A computational fluid dynamics simulation has been presented for the particles segregation phenomenon in the gas–solid fluidized beds.