Wyniki wyszukiwania - BazTech

1

Nanocrystallines as core materials for contactless power transfer (CPT)

Ghosh P. C., Sadhu P. K., Ghosh A., Pal N.

Journal of Power Technologies

|

2018

|

Vol. 98, nr 1

20--29

EN

Efficient contactless power transfer (CPT) is an emerging technology which is attracting great scientific interest because it can mitigate some of the problems commonly associated with conventional wired power transfer systems. CPT systems suffer from very low efficiency because of the poor coupling coefficient, which is due to the large air gap between the transmitter and receiver coils. Therefore, CPT transformers are mostly operated at high frequencies to improve the quality factor of transmitter and receiver coils and thus counterbalance the effect of the low coupling coefficient. On the other hand, informed selection and design of core materials for CPT transformers can improve the coupling coefficient and thereby boost the overall power transfer efficiency of the system. However, at high power and high frequency CPT applications, core losses become very high and play an important role in determining the efficiency of the system. This paper reports on a detailed investigation into the suitability of nanocrystallines as core materials for high power and high frequency CPT systems.

2

Effect of Blending Methodologies on Cotton Mélange Yarn Quality

Ray S., Ghosh A., Banerjee D.

Fibres & Textiles in Eastern Europe

|

2018

|

Vol. 26, no. 5 (131)

41--46

EN

Fibre of dyed mélange yarn is becoming an emerging product in the field of textiles. The quality of mélange yarn is largely influenced by the types of blending methodologies. There exists hardly any reported work where the effect of blending methods on cotton mélange yarn quality has been studied. The purpose of this paper is to investigate the effect of blending methodologies on the properties of cotton mélange spun yarn. Dyed and grey cotton fibre components were mixed at the blow room and draw frame stages separately to produce mélange yarns with three different shade depths (%). Better yarn quality with respect to yarn evenness, imperfections, tenacity, elongation at break and hairiness index was achieved with the draw frame blending methodology as compared to the blow room blending methodology. The mélange yarn quality deteriorates with an increase in shade depth (%) for both blending methodologies.

PL

Włókna z barwionej przędzy melanżowej stają się obecnie znaczącym produktem w obszarze produkcji tekstyliów. Na jakość przędzy melanżowej w dużej mierze wpływają rodzaje metod mieszania. Niewiele jest doniesień na temat wpływu metody mieszania na jakość przędz bawełnianych. Celem artykułu było zbadanie wpływu metod mieszania na właściwości przędzionej przędzy z mieszanki bawełny. Włókna bawełniane mieszano tak, aby wytworzyć melanżowe włókna o trzech różnych głębokościach odcieni (%). Oceniono jakość przędzy w odniesieniu do równomierności przędzy, niedoskonałości, wytrzymałości na rozciąganie, wydłużenia przy zerwaniu i wskaźnika włochatości. Stwierdzono, że jakość przędzy melanżowej pogarsza się wraz ze wzrostem głębi koloru (%) niezależnie od wybranej metody mieszania.

3

Methods for automatic identification of coke ovens for auto positioning systems in coke plant of steel industries

Patra P., Kundu C., Ghosh A., Tudu B., Bandyopadhyay R.

Diagnostyka

|

2018

|

Vol. 19, No. 2

95--103

EN

Blast furnace operation requires highest quality raw materials, operation and operators. Among them coke is the most important, in terms of its effect on operation and hot metal quality. A good grade coke produces highest thermal energy and it is highly efficient in case of metal reduction. Usage of good grade coke to blast furnace will ensure lower coke rate, higher productivity and lower hot metal cost. In order to concentrate the carbon in coke the coke making process involves carbonation of coal to high temperature (1100°C) in oxygen free atmosphere. There is need to automate the coke oven operations as much as possible. In order to improve the level of control and management of coke oven, the research on intelligent control system is carried out. In modern advanced control system of coke oven, the control scheme of combination, feedback & feed-forward merged with management are widely utilized. The integrated management and control system of coke oven is introduced systematically, including the production plan and scheduling management (Dynamic scheduling) & heating control system (Mathematical modeling) i.e. evaluating battery temperature, intelligent combustion control and pressure control of gas collector of coke oven battery.

4

Technique Based on Fuzzy Logic for Cotton Bale Lay-down Management

Das S., Ghosh A.

Fibres & Textiles in Eastern Europe

|

2017

|

Vol. 25, no. 2 (122)

30--33

EN

In this paper a new technique has been proposed for cotton bale management using fuzzy logic. The fuzzy c-means clustering algorithm has been applied for clustering cotton bales into 5 categories from 1200 randomly chosen bales of the J-34 variety. In order to cluster bales of different categories, eight fibre properties, viz., the strength, elongation, upper half mean length, length uniformity, short fibre content, micronaire, reflectance and yellowness of each bale have been considered. The fuzzy c-means clustering method is able to handle the haziness that may be present in the boundaries between adjacent classes of cotton bales as compared to the K-means clustering method. This method may be used as a convenient tool for the consistent picking of different bale mixes from any number of bales in a warehouse.

PL

W artykule zaproponowano nową technikę zarządzania składowaniem bawełny opartą na logice rozmytej. Badaniu poddano 1200 losowo wybranych bel bawełny. W celu pogrupowania bel w 5 kategoriach zbadano właściwości, tj. wytrzymałość, wydłużenie, średnią długość, jednorodność długości, zawartość włókien krótkich, dojrzałość, współczynnik odbicia i zażółcenie każdej beli. Opracowana metoda może być stosowana jako wygodne narzędzie do sortowania różnych mieszanek z dowolnej liczby bel w magazynie.

5

Pattern Classification of Fabric Defects Using a Probabilistic Neural Network and Its Hardware Implementation using the Field Programmable Gate Array System

Hasnat A., Ghosh A., Khatun A., Halder S.

Fibres & Textiles in Eastern Europe

|

2017

|

Vol. 25, no. 1 (121)

42--48

EN

This study proposes a fabric defect classification system using a Probabilistic Neural Network (PNN) and its hardware implementation using a Field Programmable Gate Arrays (FPGA) based system. The PNN classifier achieves an accuracy of 98 ± 2% for the test data set, whereas the FPGA based hardware system of the PNN classifier realises about 94±2% testing accuracy. The FPGA system operates as fast as 50.777 MHz, corresponding to a clock period of 19.694 ns.

PL

W pracy zaprezentowano system klasyfikacji wad tkanin przy użyciu probabilistycznej sieci neuronowej (PNN) i przy zastosowaniu systemu Field Programmable Gate Array (FPGA). PNN pozwala na osiągnięcie dokładności 98 ± 2% dla zbioru danych testowych, podczas gdy system FPGA pozwala na osiągnięcie dokładności około 94 ± 2%. System FPGA pracuje przy częstotliwości 50,777 MHz, co odpowiada 19,694 ns.

6

An Investigation On Air and Thermal Transmission Through Knitted Fabric Structures Using the Taguchi Method

Ghosh A., Mal P., Majumdar A., Banerjee D.

Autex Research Journal

|

2017

|

Vol. 17, no. 2

152--163

EN

Knitted fabrics have excellent comfort properties because of their typical porous structure. Different comfort properties of knitted fabrics such as air permeability, thermal absorptivity, and thermal conductivity depend on the properties of raw material and knitting parameters. In this paper, an investigation was done to observe the effect of yarn count, loop length, knitting speed, and yarn input tension in the presence of two uncontrollable noise factors on selected comfort properties of single jersey and 1×1 rib knitted fabrics using the Taguchi experimental design. The results show that yarn count and loop length have significant influence on the thermo-physiological comfort properties of knitted fabrics.

7

A new circuit topology using Z-source resonant inverter for high power contactless power transfer applications

Ghosh P. C., Sadhu P. K., Ghosh A., Pal N.

Archives of Electrical Engineering

|

2017

|

Vol. 66, nr 4

843--854

EN

In this study, a new circuit topology using a Z-source resonant inverter (ZSRI) for high power applications in large-air-gap contactless power transfer (CPT) systems, has been investigated. The main shortcoming of a large-air-gap CPT system is the poor power transfer efficiency due to low magnetic coupling. In order to minimize this shortcoming and to improve the overall performance of the system by boosting the power transfer capability, in this paper a CPT system with the newly developed circuit topology using high frequency Z-source resonant inverter has been proposed. Using the newly developed circuit topology for the CPT system, it has been observed that the overall performance of the system has been improved to a reasonable level with a purely sinusoidal resonant current flowing through the primary side. Therefore, no harmonics will be injected into the source. The proposed CPT system with an air gap of 16 cm and a misalignment of 3 cm has been simulated using the Maxwell finite element tool and Simplorer circuit simulation software for an output power of 2 kW.

8

Engineering of Knitted Cotton Fabrics for Optimum Comfort in a Hot Climate

Mal P., Ghosh A., Majumdar A., Banerjee D.

Fibres & Textiles in Eastern Europe

|

2016

|

Vol. 24, no. 2 (116)

102--106

EN

Cotton knitted fabrics are popular for summer-wear and outer-wear due to their comfort. The typical porous structure of knitted fabrics, however, increases the risk of exposure of human skin to UV rays, resulting in skin cancer. Therefore a trade-off is required between the comfort and UV ray resistance of the fabric. In this study, an attempt was made to engineer single jersey and 1×1 rib knitted fabrics with optimum comfort and desired UV resistance. It was found that 1×1 rib knitted fabrics could provide better comfort and UV protection with respect to single jersey fabrics manufactured on the same gauge knitting machine.

PL

Dzianiny bawełniane są bardzo popularne dla ubrań noszonych latem ze względu na możliwość uzyskania wysokiego komfortu noszenia. Typowa porowata struktura dzianin powoduje jednak wzrost ryzyka wystawienia skóry na promieniowanie UV mogące prowadzić do raka skóry. Dlatego należy uzyskać kompromis pomiędzy komfortem noszenia a odpornością na promieniowanie UV. W pracy przeprowadzono próbę opracowania dzianiny lewo-prawej i dwu-prawej 1x1 o optymalnych właściwościach komfortu i jednocześnie wymaganej odporności na promieniowanie UV. Stwierdzono, że dzianina dwu-prawa 1x1 może zapewnić lepszy komfort i ochronę przed UV w porównaniu do dzianiny lewo-prawej produkowanej przy tych samych parametrach maszyny dziewiarskiej.

9

Tuning of suitable solar spectrum onto photocatalytic materials of the matched band gap using optical engineering

Ranjan R, Ghosh A, Nirala A K, Yadav H L

Optica Applicata

|

2015

|

Vol. 45, nr 2

237--247

EN

In this report, we have carried out work on the concept of optical engineering for tuning solar spectrum onto photocatalytic materials of the matched band gap using a holographic concentrator. Processing parameters of holographic concentrators have been designed suitably to have a control over the desired wavelength range for photocatalytic materials of the matched band gap.

10

Cotton Fibre-to-Yarn Engineering: A Simulated Annealing Approach

Das S., Ghosh A.

Fibres & Textiles in Eastern Europe

|

2015

|

Vol. 23, no. 3 (111)

51--53

EN

In this paper we undertake to engineer yarn of predefined strength by choosing suitable raw material and process parameters. In an attempt to achieve a yarn of optimal strength, the constrained optimisation problem is formulated with the relation between raw material and yarn properties. Frydrych’s theoretical model of yarn strength is used for formulation of the optimisation problem. The simulated annealing (SA) method has been used to solve the optimisation problem by researching the best combination of raw material and process parameters that can bring into reality a yarn with the strength desired. The results show that SA is capable of ascertaining a set of parameters that gives the yarn strength desired.

PL

W pracy podjęto próbę otrzymywania przędzy o określonej wytrzymałości poprzez wybór odpowiedniego surowca i parametrów procesu przędzenia. W celu otrzymania przędzy o optymalnej wytrzymałości sformułowano problem optymalizacji zawierający zależności pomiędzy surowcem i właściwościami przędzy. Zastosowano przy tym teoretyczny model Frydrych wytrzymałości przędzy a także metodę symulacji SA. Udokumentowano, że za pomocą zastosowanej metody symulacji można sprecyzować zestaw parametrów, który umożliwia osiągniecie zakładanej wytrzymałości przędzy.

11

A Comparative Study of Hooks in the Yarns Produced by Different Spinning Technologies

Ghosh A., Das S., Mal P.

Autex Research Journal

|

2015

|

Vol. 15, no. 4

260--265

EN

This article presents a comparative study of hooks’ characteristics of ring, rotor, air-jet and open-end friction spun yarns. Hook types and their extent, spinning in-coefficient and mean fibre extent in the yarns produced on different spinning technologies are investigated. The results show that the hook extents for open-end friction spun yarn are the highest followed by rotor, ring and air-jet spun yarns. Ring and air-jet spun yarns have higher percentage and extent of trailing hook as compared with leading hook, whereas, rotor and friction spun yarns show the reverse trend.

12

Using hybridized techniques to develop an online workplace risk assessment tool

Ghosh A., Nafalski A., Tweedale J., Dollard M.

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

|

2012

|

nr 4b

42-45

EN

Recent research has shown that work stress has become a widespread concern in Australia and other countries. It is a growing concern across all employment sectors as well as occupational levels and reported as a common cause of occupational illness. Work stress can be prevented if it is identified, measured and changes are made to the work environment. Multi-Agent technology has been used in many applications but has not been applied in psychology for analysing data. This paper presents hybridized techniques, which have been used to develop an online tool for work stress assessment and prevention.

PL

Ostatnie badania wykazały, że stres w miejscu pracy stał się przedmiotem rosnących obaw w Australii i w innych krajach. Wszystkie sektory zatrudnienia doświadczają wzrostu psychicznych chorób zatrudnieniowych. Stres w miejscu pracy może być uniknięty jeśli jest identyfikowany, mierzony i stosowne zmiany są implementowane w środowisku pracy. Technologia systemów wieloagentowych jest używana w wielu aplikacjach, lecz nie była dotąd zastosowana w psychologii do analizy danych. Artykuł prezentuje techniki hybrydowe, zastosowane do oceny online i prewencji stresu.

13

Aggregation Pheromone Density Based Pattern Classification

Halder A., Ghosh A., Ghosh S.

Fundamenta Informaticae

|

2009

|

Vol. 92, nr 4

345-362

EN

The study of ant colonies behavior and their self-organizing capabilities is of interest to machine learning community, because it provides models of distributed adaptive organization which are useful to solve difficult optimization and classification problems among others. Social insects like ants, bees deposit pheromone (a type of chemical) in order to communicate between the members of their community. Pheromone, that causes clumping behavior in a species and brings individuals into a closer proximity, is called aggregation pheromone. This article presents a new algorithm (called, APC) for pattern classification based on this property of aggregation pheromone found in natural behavior of real ants. Here each data pattern is considered as an ant, and the training patterns (ants) form several groups or colonies depending on the number of classes present in the data set. A new test pattern (ant) will move along the direction where average aggregation pheromone density (at the location of the new ant) formed due to each colony of ants is higher and hence eventually it will join that colony. Thus each individual test pattern (ant) will finally join a particular colony. The proposed algorithm is evaluated with a number of benchmark data sets as well as various kinds of artificially generated data sets using three evaluationmeasures. Results are compared with four other well known conventional classification techniques. Experimental results show the potentiality of the proposed algorithm in terms of all the evaluation measures compared to other algorithms.

14

Non-dominated Rank based Sorting Genetic Algorithms

Ghosh A., Das M.K.

Fundamenta Informaticae

|

2008

|

Vol. 83, nr 3

231-252

EN

In this paper a new concept of ranking among the solutions of the same front, along with elite preservation mechanism and ensuring diversity through the nearest neighbor method is proposed for multi-objective genetic algorithms. This algorithm is applied on a set of benchmark multi-objective test problems and the results are compared with that of NSGA-II (a similar algorithm). The proposed algorithm is seen to over perform the existing algorithm. More specifically, the new approach has been used to solve the deceptive multi-objective optimization problems in a better way.

15

Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron

Patra S., Ghosh S., Ghosh A.

Fundamenta Informaticae

|

2008

|

Vol. 84, nr 3-4

429-442

EN

A context-sensitive change-detection technique based on semi-supervised learning with multilayer perceptron is proposed here. In order to take contextual information into account, input patterns are generated considering each pixel of the difference image along with its neighboring pixels. A heuristic technique is suggested to identify a few initial labeled patterns without using ground truth information. The network is initially trained using these labeled data. The unlabeled patterns are iteratively processed by the already trained perceptron to obtain a soft class label. Experimental results, carried out on two multispectral and multitemporal remote sensing images, confirm the effectiveness of the proposed approach.

16

Reducing yarn hairiness in winding by means of jets: optimisation of jet parameters, yarn linear density and winding speed

Rengasamy R. S., Kothari V. K., Patnaik A., Ghosh A., Punekar H.

Autex Research Journal

|

2005

|

Vol. 5, no. 3

127--132

EN

Reducing yarn hairiness during yarn winding by the use of air jets is a new approach, since the production rate of winding is very high and the process itself increases yarn hairiness. The Box & Behnken factorial design approach has been used to optimise the jet angle, the jet diameter, yarn linear density and the winding speed in order to reduce the yarn hairiness. A jet angle of 450, a jet diameter of 2.2 mm, 10 tex yarn and a winding speed of 800 m/min give the optimal results in terms of reducing the hairiness. A CFD (computational fluid dynamics) model has been developed to simulate the airflow pattern inside the jets with the use of Fluent 6.1 software. The air velocity around the core of the jet is the influencing factor in wrapping the hairs on the yarn body.

17

Predictive models for strength of spun yarns: an overview

Ghosh A., Ishtiaque S., Rengasamy S., Mal P., Patnaik A.

Autex Research Journal

|

2005

|

Vol. 5, no. 1

20--29

EN

Over the past century or so, determining the predictive models of yarn strength has been the subject of a number of investigations, because yarn strength is a principle component of yarn quality. The aim of these models is to enable the yarn strength to be predicted from the properties of its component fibres as well as other parameters. The development of predictive modelling of yarn strength is always significant both in theory and in practice. In this article, a review of various predictive models of yarn strength is presented.

18

The mechanism of end breakage in ring spinning: a statistical model to predict the end break in ring spinning

Ghosh A., Ishtiaque S., Rengasamy S., Patnaik A.

Autex Research Journal

|

2004

|

Vol. 4, no. 1

19--24

EN

The mechanism of end breakage in ring spinning is a complex phenomenon, and is entirely different from the yarn failure mechanism during a tensile test. In this paper a possible mechanism of end breakage is reported. A statistical model is developed for predicting the likely end breakage rate in ring spinning. The important factors in governing end breaks are the mean yarn strength, yarn strength variation, mean value of the peak spinning tensions and the variation of yarn mass irregularity. Some practical aspects have also been discussed to tackle the problem of when the breakage rate suddenly increases.