Wyniki wyszukiwania - Biblioteka Nauki

1

Prediction of the electromagnetic responses of geological bodies based on a temporal convolutional network model

100%

Yuan C. , Wang X. , Deng F. , Wang K. , Yang R.

Acta Geophysica

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2022

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tom Vol. 70, no 1

191--209

EN

The transient electromagnetic method employed in aeromagnetic surveys has been widely used for geophysical, petroleum, and engineering exploration because geophysical characteristics can be predicted as an inversion problem based on measured electromagnetic response data. However, this process requires uniformly and densely distributed electromagnetic response data, which are typically unavailable in actual TEM applications due to the high cost of the aeromagnetic surveys, which necessitates the use of large grid patterns to effectively map large areas. Therefore, developing methods for predicting missing electromagnetic response data based on the available data is essential for ensuring the accurate characterization of geological bodies. The present work addresses this issue by establishing an electromagnetic response curve prediction model based on a temporal convolutional network (TCN) architecture. Firstly, the electromagnetic response data is subjected to grey relational analysis to obtain correlations and reduce the data dimension. Secondly, the response data with correlation degrees greater than a threshold are selected as TCN model input. Finally, the TCN model establishes the nonlinear relationship between the electromagnetic response parameter sequence and its output sequence. The proposed model and other existing state-of-the-art prediction models are applied to actual electromagnetic prospecting data, and the results demonstrate that the proposed TCN model provides higher prediction accuracy and stronger robustness than the other models considered. Moreover, the proposed model is suitable for processing multiple series of related data, such as electromagnetic response prediction models. Therefore, the proposed model has good application prospects in electromagnetic response prediction and electromagnetic response recovery research.

2

Multi objective optimization by application of Taguchi based Grey Relational Analysis for GMA welding of IS2062 structural steel

84%

Rizvi S. A. , Tewari S. P.

Mechanics and Mechanical Engineering

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2017

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tom Vol. 21, nr 3

717--729

EN

Basic object of this research article was to investigate the parametric optimization of welding parameters such as arc voltage, wire feed speed and shielding gas flow rate for IS 2062 structural steel by integrating Taguchi method and Grey relational analysis. Experiments were conducted as per L16 (4xx3) orthogonal array. Design and Mechanical properties such tensile strength, Microhardness, toughness, and Microstructure of IS 2062 structural steel optimized by Grey-based Taguchi analysis were investigated, as they were selected as quality targets. Based on result of the grey relational analysis, a set of optimum welding parameters was obtained. The observed data from result have been interpreted, discussed and analyzed by integration of Grey-Taguchi methodology to optimize tensile strength, microhardness and percentage elongation.

3

The technique to precisely design the product in a house of quality considering current customers' requirements

84%

Siwiec D. , Pacana A.

Quality Production Improvement - QPI

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2021

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tom Vol. 3, Iss. 1

9--16

EN

The competitive and turbulent environment generates the need to use various techniques to determine the level of product quality. In this aim, it is necessary to determine the direction of improvement attributes and function of the product based on customer requirements, which are usually uncertain. Therefore, the aim of the article is to propose the technique to improve the product quality by precisely determine the customers' requirements and the importance of the quality parameters for the current attributes of the product. This technique is a combination of methods i.e.: the QFD method (Quality Function Deployment) with the GRA method (Grey Relational Analysis). Using the QFD method, customer requirements were translated into technical features of the product. In turn, using the GRA method the imprecise customers' requirements were reduced and the importance of quality parameters was determined in a more accurate way. A test of a combination of the QFD and GRA methods for the household vacuum cleaner was made. The originality of the article is ensuring a precise study of the current attributes of the product from the point of customer satisfaction.

4

Hybrid GRA-PCA and modified weighted TOPSIS coupled with Taguchi for multi-response process parameter optimization in turning AISI 1040 steel

84%

Mst. Nazma S. , Nikhil Ranjan D.

Archive of Mechanical Engineering

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2021

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tom LXVIII, nr 1

23--49

EN

The objective of the present study is to optimize multiple process parameters in turning for achieving minimum chip-tool interface temperature, surface roughness and specific cutting energy by using numerical models. The proposed optimization models are offline conventional methods, namely hybrid Taguchi-GRA-PCA and Taguchi integrated modified weighted TOPSIS. For evaluating the effects of input process parameters both models use ANOVA as a supplementary tool. Moreover, simple linear regression analysis has been performed for establishing mathematical relationship between input factors and responses. A total of eighteen experiments have been conducted in dry and cryogenic cooling conditions based on Taguchi L18 orthogonal array. The optimization results achieved by hybrid Taguchi-GRA-PCA and modified weighted TOPSIS manifest that turning at a cutting speed of 144 m/min and a feed rate of 0.16 mm/rev in cryogenic cooling condition optimizes the multi-responses concurrently. The prediction accuracy of the modified weighted TOPSIS method is found better than hybrid Taguchi-GRA-PCA using regression analysis.

5

Multi-objective optimization of WEDM process parameters of Ti49.4-Ni50.6 shape memory alloy for orthopaedic implant application

84%

Takale A. M. , Chougule N. K.

Archives of Materials Science and Engineering

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2018

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tom Vol. 93, nr 1

12--31

EN

Purpose: This paper focuses on the investigation on the effect of process parameters such as pulse on time (Ton), pulse off time (Toff), spark gap set voltage (SV), wire feed (WF) and wire tension (WT) on the responses such as the material removal rate (MRR), surface roughness (SR), kerf width (KW) and dimensional deviations (DD) of Ti49.4Ni50.6 (at.%) shape memory alloy (SMA) machined by WEDM. Ti-Ni SMA has fascinating properties and biocompatibility, it is considered for the present work. Design/methodology/approach: As per the Taguchi technique, L18 orthogonal array experiments on WEDM have been performed. The signals to noise (S/N) ratio plots are analysed to determine the influence of process parameters. Analysis has been tested through analysis of variance (ANOVA). SEM images are taken to confirm the results offering better surface quality. Findings: It was observed that pulse on time is the most significant factor for MRR and SR with the contribution of 35.69% and 59.02% respectively. The SV is a significant factor for KW and DD with contributions of 47.35% and 30.03% at 95% confidence level. A multi-response optimization has been carried out using grey relational analysis (GRA) to determine the optimum combination of process parameters. It is shown that, through GRA the optimal machining parameter setting such as A2B1C3D2E1 i.e. (pulse on time of 115 machine unit, pulse off time of 20 machine unit, spark gap set voltage of 90 V, wire feed of 6 m/min and wire tension of 3 machine unit) has been observed for maximum MRR and minimum SR, KW and DD. Young’s modulus checked for biocompatibility. Research limitations/implications: Heat treatment process like annealing is found to be most suitable to recover shape memory effect of WEDMed samples.

6

Parametric optimization of process parameters for Electric discharge Machining of Tungsten carbide (93% WC and 7%Co)

84%

Sharma R. K.

Production Engineering Archives

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2020

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tom Vol. 26, Iss. 4

154--161

EN

Nowadays there is a huge demand of High Strength Temperature Resistance (HSTR) alloys such as titanium, carbide, nimonics and ceramics in aerospace, defence and electronics. Among these alloys machining of tungsten carbide alloy is of interest, because of its numerous applications. Complex shapes of tungsten carbide are not generally made by traditional manufacturing process. To machine tungsten carbide with high accuracy, non-traditional machining process like Laser beam machining, Electron beam machining and Electrical discharge machining are a proper choice. In the present paper, the authors have machined Tungsten carbide (93% WC and 7%Co) with copper electrode. The machining is performed on EDM MODEL 500 X 300 ENC with VELVEX EDMVEL-2 as dielectric oil. The 17 experiments are carried out based on RSM (Box-Behnken) method. Further, in order to find the optimum combination grey relational approach is used. The results showed that pulse-on-time of 40µs, pulse-off-time of 2µs and current of 8A are optimum combination for machining of Tungsten carbide (93% WC and 7%Co). Lastly, the confirmation experiment has been conducted.

7

Multi-objective optimization of stope structure parameters in broken rock conditions using grey relational analysis

84%

Chen S. , Wu A. , Wang Y. , Cheng X.

Archives of Mining Sciences

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2018

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tom Vol. 63, no. 2

269--282

EN

In order to optimize the stope structure parameters in broken rock conditions, a novel method for the optimization of stope structure parameters is described. The method is based on the field investigation, laboratory tests and numerical simulation. The grey relational analysis (GRA) is applied to the optimization of the stope structure parameters in broken rock conditions with multiple performance characteristics. The influencing factors include stope height, pillar diameter, pillar spacing and pillar array pitch, the performance characteristics include maximum tensile strength, maximum compressive strength and ore recovery rate. The setting of influencing factors is accomplished using the four factors four levels Taguchi experiment design method, and 16 experiments are done by numerical simulation. Analysis of the grey relational grade indicates the first effect value of 0.219 is the pillar array pitch. In addition, the optimal stope structure parameters are as follows: the height of the stope is 3.5 m, the pillar diameter is 3.5 m, the pillar spacing is 3 m and the pillar array pitch is 5 m. In-situ measurement shows that all of the pillars can basically remain stable, ore recovery rate can be ensured to be more than 82%. This study indicates that the GRA method can efficiently applied to the optimization of stope structure parameters.

PL

W pracy zaproponowano nową metodę optymalizacji parametrów struktury przodka wybierkowego prowadzonego w warunkach pękania skał. Metoda opiera się na badaniach terenowych, wykorzystuje także badania laboratoryjne oraz symulacje numeryczne. Do optymalizacji parametrów struktury przodka wybierkowego prowadzonego w warunkach pękania skał dla wielu wariantów charakterystyki górotworu wykorzystano ‘szarą’ analizę relacyjną (GRA – Grey Relational Analysis). Uwzględnione czynniki wpływu to wysokość przodka, średnica filarów, rozstaw filarów, rozmieszczenie filarów oraz charakterystyki górotworu: maksymalna wytrzymałość na rozciąganie oraz ściskanie oraz uzysk rudy. Ustawienia czynników wpływu dokonano z wykorzystaniem czterech czynników i dla czterech poziomów wg metody Taguchi planowania eksperymentów; ponadto 16 eksperymentów wykonano z wykorzystaniem symulacji numerycznych. Wyniki ‘szarej’ analiza relacyjnej wskazują, że wartość efektywna dla pierwszego z czynników, czyli rozmieszczenia filarów, wyniosła 0.219. Ponadto, otrzymano następujące optymalne parametry przodka: wysokość przodka 3.5 m; średnica filarów 3.5 m, rozstęp pomiędzy filarami 3 m, rozciągłość filarów 5 m. Pomiary przeprowadzone in situ wykazały, że wszystkie filary zasadniczo powinny zachować stabilność, a uzysk rudy przekroczyć może 82%. Wyniki wskazują, że ‘szara’ analiza relacyjna może być z powodzeniem wykorzystywana do optymalizacji parametrów struktury przodka wybierkowego.

8

Comparative Analysis of the Performances of Six Taguchi-Based Multi-Response Optimisation Techniques for Product Development in Textiles

84%

Ahmad N. , Kamal S. , Raza Z. A. , Zeshan M. , Abid S. , Javed Z. , Karahan M.

Fibres & Textiles in Eastern Europe

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2021

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tom Vol. 29, no. 5 (149)

100--108

EN

Researchers are using different statistical techniques for process optimisation and product development both in academia and industries. Similarly, several statistical tools are being employed in the textile industry for process optimisation during the manufacturing of different products. The purpose of this study was to analyse different Taguchi-based techniques in the multi-response optimisation of selected industrial processes and then to generalise the outcomes. Herein, six different Taguchi-based multi-response optimisation techniques, including grey relational analysis (GRA), the weighted signal-to-noise (WSN) ratio, principal component analysis, VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje), the multiple response signal-to-noise ratio, and Fuzzy logic were compared against three data sets of industrial processes. The researchers herein optimised cotton dyeing, the finishing of textile to make them oleo-hydrophobic, and the production of rhamnolipids (bio-surfactants). The results demonstrated that the Fuzzy logic-based Taguchi method gave the best optimisation amongst all the other approaches, followed by GRA and WSN for all the selected processes. The said statistical techniques were applied to specific textile and biotechnological processes. The outcomes of this study can help researchers in practical implementation in industrial sectors. In this study, a comparative analysis of the performances of six Taguchi-based multi-response optimisation techniques was conducted for potential industrial processes, particularly textile processing.

PL

Niegarbowane odpady skórzane pochodzące z przemysłu garbarskiego są potencjalnym zagrożeniem dla środowiska naturalnego. Z drugiej jednak strony tego rodzaju odpady zawierają znaczące ilości cennego białka – kolagenu. Białko kolagenowe jest biopolimerem, który z uwagi na swoje właściwości znajduje zastosowanie w przemyśle spożywczym, kosmetycznym oraz w przemyśle biomedycznym. Obecnie na rynku dostępne są preparaty kolagenowe pozyskane z odpadów pochodzenia zwierzęcego. W pracy przedstawiono procedurę oznaczania aminokwasów w wybranych preparatach kolagenowych metodą wysokosprawnej chromatografii cieczowej i metodą spektrofotometryczną. We wszystkich próbkach oznaczono wysokie stężenia glicyny, alaniny, proliny i hydroksyproliny, a niewielkie ilości tyrozyny, seryny, waliny i izoleucyny. Zastosowana metoda chromatograficzna umożliwia szybkie i równoczesne oznaczenie 17 aminokwasów w badanych próbach. Opracowane w ramach pracy metody analityczne mogą być wykorzystane m.in. do szybkiej kontroli składu aminokwasowego kolagenu.

9

Analysis and optimization of performance parameters in computerized I.C. engine using Diesel blended with linseed oil and Leishmaan's solution

84%

Godwin Antony A. , Dinesh S. , Rajaguru K. , Vijayan V. , Aravind S.

Mechanics and Mechanical Engineering

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2017

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tom Vol. 21, nr 2

193--205

EN

Due to environmental concerns, the use of alternative fuel is rapidly expanding around the world, making it imperative to fully understand the impacts of diesel on pollutant formation. The aim of this work is to increase the engine performance with reduced emissions using diesel blends from different feed stocks and to compare that with the diesel. In the Indian context linseed can play an important role in the production of alternative fuel using diesel. The climatic and soil conditions of India are convenient for the production of linseed crop. The blend is prepared from diesel, linseed oil and Leishman‘s solution by stirring process. The performance study of a diesel engine with these diesel blends were carried out at different compression ratios and loads. The combustion performance parameters like Mechanical, Volumetric, Brake thermal efficiencies and Specific Fuel Consumption are all noted. By applying Grey Relation Analysis, the best running condition for the engine within the chosen range are decided. The sample containing 95% diesel with 3% linseed oil and 2% solution gives better performance at a compression ratio of 18 during high load conditions.

10

Experimental investigation and optimization of material removal rate and surface roughness in centerless grinding of magnesium alloy using Grey Relational Analysis

67%

Dinesh S. , Mahadevan G. , Senthil Kumar T.

Mechanics and Mechanical Engineering

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2017

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tom Vol. 21, nr 1

17--28

EN

Modern enterprises concentrate on higher production rates with reduced time and admired quality. The surface integrity defines the quality of the product. Several processes like grinding, polishing and buffing have been used to improve the surface texture of the machined products. The most prominent challenge that is faced by an engineer is to manufacture a component with better surface integrity at reduced time, leading to increased production rate and improved profit. It is important to select proper combination of the machining parameters for obtaining the best results. The process called through feed centerless grinding helps in obtaining better surface texture. The main aim of this work is to examine the influence of various machining parameters such as regulating wheel angle, regulating wheel speed and depth of cut over surface roughness and machining time in machining magnesium alloy using silicon carbide grinding wheel. Grey relational analysis method is used for investigating the results. The optimal machining parameters were found with regulating wheel speed, regulating wheel angle and depth of cut being 46 rpm, 2 degree and 0.2 mm.

11

Optimum combination of machining parameters during drilling of aluminium 7075 alloys using Grey based Taguchi approach

67%

Sreenivasulu R. , Rao C. S.

Journal of Mechanical and Energy Engineering

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2020

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tom Vol. 4, No 3

227--238

EN

From ancient days to till today manufacturing industries, especially making of holes on the parts during drilling process for precision assembling of parts facing problems with burr formation. Drilling operation is one of the finishing operation in the production cycle, removing of burrs during drilling process is a time consuming and non-value added process to the manufacturing sector. So reducing the size of burrs is the main aim of the present study. In the present work, optimization of burr size is considered during drilling of aluminium 7075 alloy. In this connection, experiments are conducted based on Grey based Taguchi. From Grey relational grades of responses selected optimal combination of parameters to attain multiple performance characteristics of responses with a corresponding higher grey relational grade. For identifying the most significant input parameters that influence the output responses ANOVA is conducted. Based on interaction effect plots of data means of responses from results of ANOVA, confirmation tests are conducted by choosing most significant parameters. Finally, observations reveals that feed rate, point and clearance angles are the most influential factors on burr size and also experimental results divulge that the lower the thrust force causes to decrease the burr height. The proposed approach is helpful to the budding entrepreneurs in the related areas to select optimal combination of drilling parameters to attain multiple performance characteristics of responses especially in burr size to prevent the post finishing operations up to certain extent.

12

Grey relational analysis of an automatic identifying system for clothing texture

67%

Su T. L. , Kuo Y.-L. , Chen H.-W. , Kung F.-C.

Fibres & Textiles in Eastern Europe

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2010

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tom Vol. 18, no. 2 (79)

60--64

EN

Fabric quality inspection is important to the textile industry because the price of second-quality fabric is merely 45% to 65% of that of first-quality fabric. Using the wavelet transform, this paper intends to analyse fabric images and establish the different features of fabric texture, and then through grey relational analysis of grey theory, we will attempt to distinguish and classify the texture of fabrics, mainly cotton, polyester, silk, rayon, knitting and linen. The grey relational analysis approach is applied to analyse the correlation in the random factor sequence of feature indexes after some data processing and determine the texture type of the designated fabric on the basis of the highest correlative degree. Experiment findings show that the automatic distinguishing system for the fabric types discussed in this paper is capable of distinguishing six different textile images.

PL

Kontrola jakości płaskich wyrobów włókienniczych jest bardzo ważna w przemyśle tekstylnym ze względu na różnice cenowe pomiędzy tekstyliami wyższej i niższej jakości. Wykorzystując odpowiednie przekształcenia matematyczne przeprowadzono analizę obrazów tekstyliów i na podstawie teorii zbiorów rozmytych zidentyfikowano struktury badanych próbek, w tym tekstyliów z bawełny, poliestru, jedwabiu, sztucznego jedwabiu i lnu. Ostateczną identyfikację badanej struktury przeprowadzono na podstawie współczynnika korelacji. Udowodniono, że automatyczny system rozróżniania rodzajów tekstyliów nadaje się do praktycznego zastosowania.