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Purpose Electrospinning is a method of the polymer super thin fibres formation by the electrostatic field. The distribution of electrostatic field affects the effectiveness of the electrospinning. Design/methodology/approach This paper presents various computer models that can improve the electrospinning process. The possibilities of modelling the electrostatic field in the design of electrospinning equipment are presented. Findings In the research part, the one focussed on finding a cylinder-shaped collector structure to limit the adverse effect of an uneven distribution of the electric field intensity on the collector. Originality/value The paper concerns the improvement of the electrospinning process with the use of electrostatic field modelling. In the first part, several possible applications of electrostatic models have been indicated, thanks to which the efficiency of the process has been improved. The original solution of the collector geometry was presented, which according to the authors, in comparison with previous models, gives the most promising results. In this solution, it was possible to obtain an even distribution of the electric field intensity while removing the unfavourable effect of the field strength increase on the outer edges of the collector. The most important aspect in this paper is electric field strength analysis.

Electrospinning is a very interesting method that allows the fabrication of continuous fibers with diameters down to a few nanometers. This paper presents an overview of electrospinning systems as well as their comparison using proposed three-dimensional parameterized numerical models. The presented solutions allow an analysis of the electric field distribution.

Since their discovery by Iijima in 1991 [1], carbon nanotubes have sparked unwavering interest among researchers all over the world. This is due to the unique properties of carbon nanotubes (CNTs). Carbon nanotubes have excellent mechanical and electrical properties with high chemical and thermal stability. In addition, carbon nanotubes have a very large surface area and are hollow inside. This gives a very broad spectrum of nanotube applications, such as in combination with polymers as polymer composites in the automotive, aerospace or textile industries. At present, many methods of nanotube synthesis are known [2, 3, 4, 5, 6]. It is also possible to use carbon nanotubes in biomedical applications [7, 8, 9, 10, 11, 12, 13, 14], including the destruction of cancer cells using iron-filled carbon nanotubes in the hyperthermia process. Computer modelling results of Fe-CNTs induction heating process are presented in the paper. As an object used for computer model creation, Fe-CNTs were synthesized by the authors using CCVD technique.

Electrospinning is an experimental method of the polymer super thin fibres formation using the electrostatic field. The distribution of electrostatic field affects the effectiveness of the electrospinning. In order to analyse the electrostatic field for given technological parameters the 3-D computer model of an electrospinning device must be applied.

Nowadays, numerical methods are widely used in the field analysis of many electromagnetic devices, MEMS and more. Incorrect problem analysis using the Finite Element Method often leads to incorrect results and drawing wrong conclusions. Therefore, the role of the engineer who describes the model in the pre-processing stage cannot be forgotten. This paper presents an example of developing a computer model of a flat capacitor in FEMM program, using the 2-dimensional Finite Element Method. It has been shown, how simple can disturb the result after wrong input data implementing.

The paper focus is on the generation of 3-D field models of probes for Radio-Frequency Ablation (RFA). The authors propose a multiphysics three-dimensional models for curved-electrode probes, which can be used to optimize placement and exploitation of the probes. The first model consists of tumor tissue and liver tissue. The second one is extended by fat tissue. The diameter of whole model is thirty centimetres, which corresponds to the waist size of the adult human. Both conduction field and transient thermal field in the tissues are simulated by means of finite-element method.

This paper presents an overview of the different solutions of electrospinning systems. 3D parameterized numerical models for these systems were prepared too. The 3D models allows to analyze the distribution of the electric field. In addition, examples of calculations for the analyzed systems in the form of electric field quantities distributions are also shown. In this paper the authors used COMSOL Multiphysics — multipurpose software platform for simulating physics-based problems.

Carbon nanotubes (CNTs) are long cylindrical structures of carbon atoms hexagonal connections and having the aspect ratio higher than 1000. For immense electrical and mechanical properties, great specific surface and high thermal and chemical stability, since Ijima discovery in 1991 [1], carbon nanotubes attracts great attention among many research groups because due to possible applications. CNTs can be used in e.g. consumer electronics as field emitters, super capacitors elements. There are a lot of nanotubes production methods [2-5] and their application in medicine [6-12], such as cancer treatment with iron filled carbon nanotubes (Fe-CNTs). The paper presents the computer modelling results of Fe-CNTs induction heating. As an object used for computer model creation, Fe-CNTs synthesized by authors using CCVD technique were used.

Electrospinning is an experimental method of the polymer super thin fibres formation by the electrostatic field. The distribution of electrostatic field affects the effectiveness of the electrospinning. In order to analyze the electrostatic field for given technological parameters the 3-D computer model of an electrospinning device is necessary.

PurposeThe purpose of this paper is to create computer models of magnetic micro‐ and nano‐fibres. The fibres are the base of textronics devices, such as sensors and actuators. The authors show how one can avoid painstaking work during manufacture process by initial preparing of computer models.Design/methodology/approachThe paper presents correspondence between finite element method (FEM) and reluctance network method (RNM). The smooth transition is possible, due to homogeneous models of magnetic micro fibres based on FEM.FindingsThe paper describes the solution to accelerated designing and manufacturing process of magnetic micro‐fibres; it describes also how magnetic permeability of such fibers can be calculated and how to perform a homogenisation in models.Originality/valueThe authors present a new way of modelling magnetic micro‐fibers by combining FEM with RNM. So far, only calculations for the B/H curve of magnetic micro‐fibers have been performed, yet authors propose an innovative way for determination of magnetic micro‐fibers' parameters. Homogenisation of finite element models is the crucial part in the process of combining two different numerical methods.

PurposeThe purpose of this paper is to discuss the idea of designing and manufacturing intelligent clothes with magnetic fibres. The main goal of the research is to create the universal generator of computer structural models for whole bundles of magnetic microfibres.Design/methodology/approachThe paper presents the algorithm of magnetic microfibers computer modelling. It covers both finite element method (FEM) and reluctance network method. This paper deals with creating 3D computer structural models of magnetic microfibres, which could be introduced as the textile magnetic sensors or actuators. Because of very complicated 3D microfibres structure, it is hoped that the quickest possible method can be found to solve the problem.FindingsThe results focus on the methodology presented in the paper which can be implemented in building 3D equivalent B/H curve of the microfibers set by using the field method – combining reluctance network method and FEM. Defining the proper magnetic B/H curves of magnetic fibres will enable the production of smart and resistant clothes.Originality/valueFirst, the paper presents the original idea of modelling magnetic microfibres by use of the reluctance network method. So far, there are only measurements characteristics of B/H curve of magnetic microfibres. The paper proposes an innovatory way of determining magnetic microfibres parameters. This universal computer models allows for evaluation of a limiting value of magnetization (magnetic permeability, etc.).

PurposeThe purpose of this paper is to describe research into the problem of creating computer structural models of magnetic microfibres. The main goal of the research is to create the universal generator of computer structural models for whole bundles of magnetic microfibres.Design/methodology/approachThe paper presents the algorithm of magnetic microfibres computer modelling. It covers both finite element method (FEM) and reluctance network method. Because microfibres with ferromagnetic grains have very complicated 3D structure, the quickest possible method was chosen.FindingsThe results focus on the methodology presented in the paper which can be implemented in building 3D equivalent B/H curve of the microfibres set by use of field method – combining reluctance network method and FEM. Defining the proper magnetic B/H curves of magnetic fibres will enable the production of smart and resistant clothes.Originality/valueTo date there are only measurements characteristics of B/H curve of magnetic microfibres. This paper proposes an innovatory way of determining magnetic microfibres parameters. This universal computer model allows the evaluation of the limiting value of magnetization (magnetic permeability, etc.).

The idea of designing and manufacturing intelligent clothes with magnetic fibres is discussed in the paper. This paper deals with the creating 3-D computer structural models of magnetic microfibres, which could be introduced as the textile magnetic sensors or actuators.