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Content available remote Consumption of the sewing thread of jean pant using Taguchi design analysis
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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.
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.
3
Content available remote Taguchi approach for the optimisation of the bursting strength of knitted fabrics
84%
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.
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.
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.
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.
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