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1

Influence of Groove shape on the Mechanical Properties of Welded Commercial Steel

Elfallah Saleh

Welding Technology Review

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2023

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R. 95

49--56

EN

Manufacturers always seek for quality and effective welding to stay competitive in the market. There is a continuous demand for a quick and efficient manufacturing set ups for new products. GMAW is among the welding processes that is wieldy used in the industry. Welding factors such as welding voltage, welding current, gas flow rate, filler wire size and welding speed play a significant role in determining the welding quality. Taguchi design uses optimization technique for the process of experimentation as an effort to improve productivity and enhance product quality. This study discusses the welding of commercial steel welded using GMAW. The welding was controlled by welding current, welding speed and groove shape to test their influence on the welding strength, tensile strength and hardness. X groove shape welding has obtained lower tensile strength and hardness than V groove shape as did higher welding current and lower welding speed. The results concluded that welding current welding had the highest influence on tensile strength and hardness of the welding, followed by groove shape, while the welding speed had the minimum influence. The optimized combination of welding factors is 170 A, V groove shape and 150 mm/min.

2

Optimisation of the Sublimation Textile Printing Process Using the Taguchi Method

Kumar Jeyaraman Anandha, Kumar M. Senthil

Fibres & Textiles in Eastern Europe

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2021

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Vol. 29, no. 1 (145)

75--79

EN

In this paper, printing parameters for the sublimation printing of polyester fabrics like the number of strokes, the sublimation paper weight in grams per square metre, the fusing temperature and time were optimised using the Tauguchi experimental design technique. In the evaluations the signal-to-noise ratio was used. Sixteen experiments were performed with respect to the L 16 Orthogonal array design for the Tauguchi approach. The results show a considerable improvement in the signal-to-noise ratio as compared to the initial conditions. Through this study, not only can optimum printing conditions for sublimation printed polyester fabr ics be obtained but also the significant factors that affect water vapour resistance.

PL

W pracy zoptymalizowano, przy użyciu eksperymentalnej techniki projektowania Tauguchi, parametry druku sublimacyjnego tkanin poliestrowych, takie jak: liczba pociągnięć, gramatura papieru sublimacyjnego w gramach na metr kwadratowy, temperatura i czas stapiania. W ocenach wykorzystano stosunek sygnału do szumu. Przeprowadzono 16 eksperymentów w odniesieniu do projektu macierzy ortogonalnej L 16 dla podejścia Tauguchi. Wyniki wskazały na znaczną poprawę stosunku sygnału do szumu w porównaniu z warunkami początkowymi. Dzięki zaprezentowanym badaniom można nie tylko uzyskać optymalne warunki drukowania na tkaninach poliestrowych drukowanych sublimacyjnie, ale także uwypuklić istotne czynniki wpływające na odporność na parę wodną.

3

Optimization on friction and wear behaviour of Al-Si alloy reinforced with B4C particles by Powder Metallurgy using Taguchi design

Jeya Raj R., Lenin Anselm W. A., Jinnah Sheik Mohamed M., Christopher Ezhil Singh S., John T. D., Rajeev D., Glan Devadhas G., Jaya Christyan K. G., Malkiya Rasalin Prince R., Jeen Robert R. B.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2020

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Vol. 68, nr 6

1393--1402

EN

This research paper discusses the friction and wear behaviour of Al-12Si alloy reinforced with B4C prepared through Powder Metallurgy (P/M) method by varying the weight percentage of reinforcement (x = 2, 4, 6, 8, and 10) content. The samples were prepared by using die and punch assembly and the lubricant used to eject the sample from the die was molybdenum disulfide. The compaction was done by using a compression testing machine by applying a pressure of 800 MPa. The dry sliding friction and wear behaviour of the sample was conducted on a Pin-on-Disc machine and the experimental values of friction and wear were calibrated. The Taguchi design experiment was done by applying an L25 orthogonal array for 3 factors at 5 levels for the response parameter Coefficient of Friction (CoF) and wear loss. The SEM images show the shape, size and EDX confirm the existence of Al, Si, B4C particles in the composites. Analysis of Variance (ANOVA) for CoF of S/N ratio, shows that the reinforcement having 34.92% influence towards the S/N ratio of CoF, ANOVA for wear loss of S/N ratio shows that the sliding distance having 46.76% influence towards the S/N ratio of wear loss, when compared to that of the other two input parameters. The interaction line plot and the 2Dsurface plot for CoF and wear loss show that the increase in B4C content decreases the wear loss and CoF. The worn surface shows that the B4C addition will increase the wear resistance.

4

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

Takale A. M., Chougule N. K.

Archives of Materials Science and Engineering

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2018

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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.

5

Experimental and numerical investigation of the deep drawing process for an automobile panel and prediction of appropriate amount of parameters by multi-layer neural network

Najafabadi S. S., Anaraki A. T., Moradi M.

Journal of Theoretical and Applied Mechanics

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2017

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Vol. 55 nr 2

707--718

EN

In this paper, the deep drawing process of an automobile panel in order to select the appropriate amount of parameters has been investigated. The parameters include friction between the blank and die, blank width and length, blank thickness and gap between the blank and blank-holder. A multi-layer artificial neural network (ANN) trained by finite element analyses (FEA) is applied in order to improve forming parameters and achieve a better quality. As the FEA results are used to train the ANN, the FEA results have been verified by three experiments. Finally, an appropriate amount of each parameter is predicted by the trained ANN and a FEA has been done based on the ANN prediction to evaluate the accuracy of the trained ANN. Moreover, it is shown that the ANN could predict results within a 10 percent error. In addition, the proposed method for prediction of the appropriate parameters (ANN) is confirmed by comparing with the Taguchi design of experiment prediction. It is also shown that the model obtained by the former method has lower errors than the latter one. In this study, the Taguchi model is used to evaluate the effect of parameters on tearing and wrinkling. Based on the Taguchi design of experiment, while the blank length is the most effective parameter on tearing, the maximum height of wrinkles on flanged parts mainly depends on the blank thickness.

6

Consumption of the sewing thread of jean pant using Taguchi design analysis

Jaouachi B., Khedher F., Mili F.

Autex Research Journal

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2012

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Vol. 12, no. 4

81--86

EN

This work deals with the evaluation of sewing thread consumption in jeans and classic pants clothing. Six different input parameters are chosen and used for investigation. To objectively evaluate their contributions, a Taguchi design analysis was applied. Based on the comparison between each input parameter effect, this experimental analysis helped us to classify the overall tested factors. Indeed, our findings show that the sewing yarn affects widely the thread consumption during stitching of the pant. In spite of their non negligible impact, the number of stitches per cm and the needle type can be considered as influential input factors on thread consumption. In our experimental design the other tested factors were kept constant.

7

Taguchi approach for the optimisation of the bursting strength of knitted fabrics

Mavruz S., Ogulata R. T.

Fibres & Textiles in Eastern Europe

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2010

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Vol. 18, no. 2 (79)

78--83

EN

In this paper, the bursting strength of knitted fabrics was optimised using the Taguchi experiment design technique, which is a recently famous approach. In the evaluations, analyses of variance (ANOVA) and the signal to noise ratio were used. 9 experiments were performed with respect to the L9 orthogonal design for the Taguchi approach. The results show a considerable improvement in the S/N ratio as compared to the initial condition. With the Taguchi processes, we can easily determine optimum conditions for maximising the bursting strength of knitted fabrics with simple experiments.

PL

Przeprowadzono optymalizację siły rozrywania dzianin stosując metodą Taguchi. Dla oceny uzyskanych wyników przeprowadzono analizę wariancji za pomocą testu ANOVA oraz analizę stosunku sygnału do szumu. Przeprowadzono 9 eksperymentów uwzględniając ortogonalny schemat dostosowany do metody Taguchi. Wyniki wykazały znaczne polepszenie stosunku sygnału do szumu w porównaniu do warunków początkowych. Stosując metodę Taguchi możemy łatwo wyznaczyć optymalne warunki konieczne dla uzyskania maksymalnej siły rozrywania dzianin za pomocą łatwych eksperymentów.

8

Effect of impact energy on the formation of nanocrystalline powders in Cu- 50 % Fe immiscible alloy system

Vaezi M.R., Mir Shah Ghassemi S.H., Shokuhfar A.

Materials Science Poland

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2008

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Vol. 26, No. 3

602--608

EN

The study of mechanical alloying in the Cu–Fe system, as a model system for those with positive heats of mixing, has been investigated. The effects of impact force which pertains to ball-to-powder ratio, rotation speed and milling time, on the strain and grain size of final powders have been studied. The aim of this research was to find the optimum condition for mechanical alloying of Cu–Fe system by the automatic design and analysis of Taguchi experiments. X-ray diffraction (XRD) was used to analyze the effect of incoming energy on the diffusion rate.