Parametric optimisation of CNC turning for Al-7020 with RSM

Singh, Bikram Jit; Sodhi, Harsimran Singh

doi:10.1504/ijor.2014.061769

Cited by 24 publications

(15 citation statements)

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“…The last objective is to expand the proficiency of the rapid product development process by use of response surface methodology (Dilip et al, 2012). RSM break down the yield all the more succinctly to predict the results and design of this composes are generally picked when twist in the response surface methodology is suspected (Singh and Sodhi, 2014).…”

Section: Experimentationsmentioning

confidence: 99%

Parametric advancement of numerical model to predict the mechanical properties of friction stir processed AA5052

Chanakyan

Sivasankar

2019

IJRAPIDM

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Friction stir processed on AA5052 aluminium plates is executed by three-factor three levels Box-Behnken pattern in response surface methodology. It is initiated that the processing parameters such as rotational speed of tool, traverse speed, axial load accept an essential part in selecting the processing attributes. The advanced parameters that prompted the most extreme tensile strength in FSP on AA5052 were resolved. The predicted outcomes were then contrasted with those tentative values. The outcomes show that there is great understanding between the predicted and estimated values. Response plots created from the numerical models are used to translate the communication impacts of the processing parameters on the response variables. Competence of the created models is approved utilising analysis of variance (ANOVA) procedure. The 'MINITAB' programming was utilised for regression and graphical studies of information gathered. Analysis of variance was promoted to check the effectiveness of the model. Box-Behnken matrix in response surface methodology with three factors three levels and 15 runs was used to promote the link between the FSP parameters (processing speed, tool rotational speed and load) and the responses UTS, yield strength and micro hardness were created.

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Section: Experimentationsmentioning

confidence: 99%

Parametric advancement of numerical model to predict the mechanical properties of friction stir processed AA5052

Chanakyan

Sivasankar

2019

IJRAPIDM

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“…Hence, the statistically significant difference between the means of pressure drop at general settings and optimised settings was found to have the 95% confidence intervals. To verify the results of t-test graphically, appropriate individual value plot and box plot should be drawn (Singh and Sodhi, 2014). The first graph was the individual value plot, pinpointing all the pressure drop points independently at general and optimised settings (see Figure 12).…”

Section: Figure 8 Cox Response Trace Plot (See Online Version For Colmentioning

confidence: 99%

Synergising mixture DoE with CFD for ash-slurry optimisation

Malik¹,

Singh²

2016

IJEDPO

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Present research work describes the issues associated with slurry transportation systems in thermal power plants. It not only explores the importance of such ash handling systems but also embarks upon a step-by-step procedure to optimise slurry contents, without ignoring flow process parameters like velocity and pipe diameter to ensure least possible drop in the flow pressure, along the length of pipe. After analysing the research gaps, a strategic methodology based on the philosophies of mixture design of experiments (DoE) and computational flow dynamics (CFD) was suggested. Experiments were designed and performed in a balanced orthogonal matrix, before simulating through CFD. A deviation of mere 8% (approximately) was found in the end results, and hence an average drop in pressure from 3176 to 1252 KPa was unleashed, in the first attempt itself. The rheological properties (like pH value or settling properties) of slurry were assumed to be in required ranges and their relative impacts on critical flow metrics of slurry transportation system were not studied. The present study used an integrated approach to study the flow and further proved its authenticity by implementing it in an Indian thermal power plant successfully.

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“…The Box-Behnken design-based RSM was used to conduct the experiment and obtain the optimal results (Xie et al, 2013) and a combined approach involving the Taguchi method and RSM was found to be effective in optimising the turning parameters (Asilturk and Neseli, 2012). Optimisation of multiple responses in CNC turning was performed by using the technique of RSM through Minitab 16 Software but central composite design used traditionally with RSM generally requires more experimental trials (Singh and Sodhi, 2014). Desirability analysis was also found to be effective in predicting the optimal conditions.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach of TOPSIS and response surface methodology for optimising the micro WEDM parameters

Santhanakumar

Adalarasan

Raj³

et al. 2017

IJOR

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Abstract:The recent trend in miniaturisation of sensors has given micro wire electrical discharge machining (μ-WEDM) a significant amount of research attention. The underlying challenge in the selection of optimal machining parameter combination to achieve the desired surface finish, kerf width and metal removal rate has urged the disclosure of an integrated method of technique for order of preference by similarity to ideal solution (TOPSIS)-based response surface methodology (TOP-RSM). A L16 orthogonal array was used to design the experiments and multi response optimisation was performed by using the TOP-RSM approach. A confirmation test was conducted to ensure the validity of proposed approach. The response surfaces were also studied to understand the effects of individual parameters on the quality characteristics.Keywords: grey Taguchi; TOPSIS; response surface methodology; RSM; manufacturing; micro wire electrical discharge machining; μ-WEDM; optimisation.Reference to this paper should be made as follows: Santhanakumar, M., Adalarasan, R., Senthil Raj, S. and Rajmohan, M. (2017) 'An integrated approach of TOPSIS and response surface methodology for optimising the micro WEDM parameters', Int.

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Parametric optimisation of CNC turning for Al-7020 with RSM

Cited by 24 publications

References 0 publications

Parametric advancement of numerical model to predict the mechanical properties of friction stir processed AA5052

Parametric advancement of numerical model to predict the mechanical properties of friction stir processed AA5052

Synergising mixture DoE with CFD for ash-slurry optimisation

An integrated approach of TOPSIS and response surface methodology for optimising the micro WEDM parameters

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