Multi-response design optimisation of convolution stresses of metal bellows using integrated PCA-GRA approach

Pagar, N. D.; Gawande, S. H.

doi:10.1080/14484846.2020.1725347

Cited by 11 publications

(2 citation statements)

References 34 publications

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“…Generally, F test (Fisher's F-ratio) is used to find the p value (probability of significance) to get the information on the relevance of the responses if the p value is p ˂ 0.05. An adjusted correlation coefficient R 2 (adj) signifies the fitment and adequacy of the ANOVA model [38,47]. Value of R 2 and R 2 (adj) should be sufficiently high and close to each other, to conclude the excellent fitment.…”

Section: Step-5: Analysis Of Variance (Anova)mentioning

confidence: 99%

Parametric design analysis of meridional deflection stresses in metal expansion bellows using gray relational grade

Pagar

Gawande

2020

J Braz. Soc. Mech. Sci. Eng.

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Unpredictable and uncertain failure of the bellows needs the attention of the designer toward maximum meridional deflection stresses generated on the U-shaped convolutions. Evaluation of these maximum stress points on the flexible convolutions is multifaceted. This paper deals with the identification of these stresses induced on the bellows convolutions by analytical and experimental methods. Further, the influence of the pivotal design parameters on meridional deflection stresses is studied mainly in two aspects: (1) effect of number of convolutions (N) and pitch diameter (d p) on the meridional deflection stresses and (2) the determination of the optimized design parameters to reduce the stress levels using effective multi-response gray relational grade (GRG) optimization technique. Three bellows of stainless steel material (Grade SS321) are used for the experimentation with a different number of convolutions (N) and pitch diameters (d p). The optimal design parameter setting is found by using GRG analysis through ANOVA and regression mathematical model. The effect of design factors on GRG is analyzed. Besides, using GRG, the regression model enhances to give alternative optimal solutions; in turn, it increases the designer's choice for the selection of the parametric levels. In the confirmation test, it is seen that the average improvement in GRG for all selected Taguchi orthogonal runs is 23%.

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Section: Step-5: Analysis Of Variance (Anova)mentioning

confidence: 99%

Parametric design analysis of meridional deflection stresses in metal expansion bellows using gray relational grade

Pagar

Gawande

2020

J Braz. Soc. Mech. Sci. Eng.

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“…Here, the signal is mean of the responses, and noise is standard deviation; hence, higher S/N is desirable to define the better index of quality characteristic through the "lower-the-better" approach. 17 In this experimental work, incremental distance (∆X), feed rate (f), speed (N), and depth of cut (D) are chosen as control parameters, and the average surface roughness (R a ) and vibration in Z (infeed) direction are the response variables. Although the three-axes vibrations are measured, the infeed direction vibration is responsible for the variation in surface roughness; hence it is further explored.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Effect of machining parameters and vibration on polymethylmethacrylate curved surface in single-point diamond turning

Mahajan

Pawade

2020

Journal of Micromanufacturing

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Single-point diamond turning (SPDT) is an emerging process for achieving nanometric surface finish, required in various optical devices made from metals like aluminum, copper, and nonmetals like polymers. The optical devices are manufactured in different shapes and profiles, preferably flat and curved surfaces. During the manufacturing of optical devices, controllable and noncontrollable parameters affect the desired surface finish. In this article, controllable machining parameters such as the incremental distance of X slide, feed rate, spindle speed, and depth of cut are selected to study their effect on surface finish and vibration generation of the curved surface. The chosen workpiece material is polymethylmethacrylate (PMMA). Design of experiment (DoE) is used to find out the optimum parameters of surface finish and infeed vibration responses. According to the Taguchi and analysis of Variance (ANOVA) analysis, the feed rate is the most influencing parameter for surface roughness, and incremental distance is for infeed vibration. A confirmation test is carried out to verify the experimental responses with a mathematical regression model, and it shows a close difference within 2.7 percent. Further, minimum surface roughness is perceived as 12.4 nm, corresponding to an infeed vibration amplitude of 4.9 µm/s2, which is signified at a lower frequency.

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SDN based load balancing technique in internet of vehicle using integrated whale optimization method

Darade

Akkalakshmi

Pagar

2022

AIP Conference Proceedings

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Multi-response design optimisation of convolution stresses of metal bellows using integrated PCA-GRA approach

Cited by 11 publications

References 34 publications

Parametric design analysis of meridional deflection stresses in metal expansion bellows using gray relational grade

Parametric design analysis of meridional deflection stresses in metal expansion bellows using gray relational grade

Effect of machining parameters and vibration on polymethylmethacrylate curved surface in single-point diamond turning

SDN based load balancing technique in internet of vehicle using integrated whale optimization method

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