In this paper, we present the effect of ferrite percentage content and electric current intensity passing through the electromagnet coil on magnetic properties (saturation induction, residual induction, and coercive field) of magnetic staple yarns. Also, we present a method for obtaining magnetic yarns by direct coating with magnetic powder (barium ferrite). The aim of the study is to determine the optimal processing factors that can affect the performance of magnetic characteristics using an experimental design for second-order model. The results show that an increase in ferrite percentage content is influencing the saturation and residual induction more than an increase in applied current intensity. The increase in saturation and residual induction is due to the higher content of ferrite powder from the magnetic solution that adheres on the yarn surface. The higher is the value of coercive field, the larger is the force needed to completely demagnetize the magnetic yarn.
Mastering software knowledge for the design of textile fabrics is especially important for students of higher education
and offers substantial competitive advantages within the world of work. The Erasmus+ project OptimTex has prepared
up-to-date educational materials as a response to the digitization requirements of Industry 4.0 in the textile field. This
paper presents the content of an e-learning module conceived by the coordinator of the Erasmus+ OptimTex project.
The module addresses the design of experiments in the field of technical textiles for electromagnetic shielding, with the
following technical aspects: two input parameters, the weft fabric density (number of yarns per 10 cm) and the thickness
of the plasma-coated metallic (copper) layer on both sides of the fabric (nanometre) and one result variable, the
electromagnetic shielding effectiveness of the fabrics (dB) at 100 MHz. A Box-Wilson central composite design was
applied to optimize shielding effectiveness related to both input parameters. Software such as Excel, MATLAB and
MODDE was applied to compute and cross-check the response surface modelling.
Nano and micro plastics (NP/MPs) represent one of the most challenging classes of micropollutants,
with occurrence across all ecosystems and size distributions ranging from the nanometre to the
millimetre scale. Natural environments are receiving MPs in the form of anthropogenic direct release as well
as disintegrated and loose products of larger plastics via biological activities, mechanical abrasion, and UV
radiation. During the processing steps, the textile yarns are subjected to friction either by different driving
organs or between themselves at the binding points. The magnitude of the friction forces is influenced by the
nature of the yarns, the structure of the yarn, the type, and the raw material from which the driving organs of
the machines are made. The paper presents the shape and dimensions of the particle that is released in the air
during the abrasion resistance test of three types of polyester yarns: spun yarn, multifilament yarn, and
monofilament yarn. The structure composition of the particles consists of more microfibrils (34%.) in the case
of spun yarn and the finest microparticles were obtain from monofilament yarn (0,004μm).
Textile technologies are rapidly developing and coping with the modern software applications of etextile
design means a substantial benefit for textile creatives. The target group of textile creatives is considered
to include both young professionals in the textile industry as well as students of Higher Education in technical
fields. A partnership of six prestigious research and educational providers in Europe, coordinated by INCDTP –
Bucharest have joined their expertise to offer educational modules related to this need, within the Erasmus+
project “OptimTex- Software tools for textiles creatives”. The project has duration of two years (2020-2022) and
has already implemented the educational modules in e-learning format on the project’s website
(www.optimtex.eu). The five educational modules follow the main textile technologies and describe in a
Problem-Based-Learning (PBL) approach software applications for: weaving, knitting, virtual prototyping of
clothing, embroidery of e-textiles (electronic textiles) and experimental design. The PBL approach consists in
learning by examples, followed by the theory, the corresponding software applications and a quiz for selfassessment.
The e-learning instrument was programmed in HTML5 and JavaScript and offers quick access the
educational modules. INCDTP has conceived the fifth module on experimental design, by tackling plasma
treatments of textiles for various functionalities: hydrophobic, hydrophilic and electrical conductivity. Full
factorial, Central Composite Design and Fractional factorial experimental design plans were described. This
topic is of interest for the envisaged target group, for it represents alternative and useful knowledge to the
official curricula of Higher Education engineering studies. Intensive Study Programs and Multiplier events will
be organized in the second project’s year for students of Higher Education and textile professionals.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.