Optimization of dynamic properties of hybrid composite shaft with newly developed resin (NDR) using grey relational analysis

Patil, Sagar Dnyandev; Bhalerao, Yogesh

doi:10.1108/ijsi-07-2019-0073

Cited by 9 publications

(5 citation statements)

References 24 publications

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“…Eq. ( 1) is used to calculate the S/N ratio for the objective function of the "larger than better type" [17].…”

Section: Resultsmentioning

confidence: 99%

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Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis

Patil,

Khot,

Hatte

2024

Preprint

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Purpose - There are several ways to heat amaranth grains, including oven puffing, gun puffing, extrusion puffing, oil puffing, pan popping, etc. Because of its size, puffing characteristics, poor volume expansion ratio, etc., amaranth grains cannot be popped in an oven, gun, extrusion, oil, or pan. In this study, the amaranth grains were popped or puffed using a Special Purpose Machine (SPM) with a heating plate. This device was created to get around all of the earlier listed restrictions. The temperature, angle, nozzle hole size, heating plate material, and other factors all affect the quality of amaranth grains. Major quality indicators of amaranth grains are the Popping Yield, Ratio of Volume Expansion, and Sensory Score. These quality indicators are examined for the effect of process characteristics on them. Therefore, these characteristics are complete to conduct additional research. The purpose of this study is to examine the more important process variables that affect the quality indicators of Amaranth grains. Methodology – For examining how different process variables affect the grain quality of amaranth, the Taguchi method was used. The significant factors were found using Minitab 17 software. Findings – The design of the experiment has been improved for the major process parameters, according to the experimental analysis and optimization study. To conduct the experimental research, L16 Orthogonal Array has been acquired. The original setup (P4Q2R3S2) for the GRA technique had a GRG of 0.778. By utilizing a new optimum combination (P3Q4R3S2), it was raised to 0.790. It indicates that the grade has increased by 1.89%. As a result, design factors have been successfully optimized utilizing the Gray Relational Analysis approach to produce improved machine parameters for the Lahi machine. Originality: The Gray Relational Analysis approach used to for multi objective optimization which gives 1.89% improvements in quality of grains.

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“…Eq. ( 1) is used to calculate the S/N ratio for the objective function of the "larger than better type" [17].…”

Section: Resultsmentioning

confidence: 99%

“…The optimization of design variables for composite materials has received little attention from academics [17][18][19][20]. The purpose of this study is to evaluate the impact of process parameter optimization on the grain quality of amaranth.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis

Patil,

Khot,

Hatte

2024

Preprint

Self Cite

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“…To date, reliability-based design optimization (RBDO) has been derived as a dominant model to consider uncertainties and is widely utilized in various engineering fields. [13][14][15] RBDO model integrates uncertainty parameters into optimization problems with probability constraints to seek more reliable engineering design and save materials at the same time. 16,17 Traditionally, two different approaches, which mainly include the reliability index approach (RIA) 18 and the performance measure approach (PMA) 19 are widely utilized for assessing the probabilistic constraints in RBDO.…”

Section: Introductionmentioning

confidence: 99%

A novel reliability index approach and applied it to cushioning packaging design

Huang

Shi

2022

Advances in Mechanical Engineering

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This paper is aimed at proposing a new approach to Reliability-based Design Optimization (RBDO) and applying it to cushioning packaging design with a highly nonlinear system. The problem is formulated as an RBDO problem, which is included a minimizing cost function and probabilistic constraints. Here, the thickness of the cushion material is dealt with uncertainty and uncontrolled parameters. The traditional reliability index approach (RIA) has evolved as a powerful tool to solve the RBDO problem; however, due to its convergence problem, the modified reliability index approach (MRIA) is proposed. Although the MRIA method solves the problems of the traditional RIA, it inherits the low efficiency of searching for the most probability point (MPP). Thus, we developed a novel RIA based on MRIA to improve the efficiency and robustness during the RBDO process. The innovation active set strategy is developed in reliability assessment, which is a strict inequality to determine whether the current constraint is active or inactive. An application example is presented, and the results are compared with MRIA to assess cost-effectiveness and efficiency. Results indicate the proposed method is feasible to solve the uncertainty problem of packaging materials in the processing process and is also an efficient RBDO method.

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“…, 2019; Majumder and Maity, 2018; Singh Nain et al. , 2019; Patil and Bhalerao, 2020; Goyal and Garg, 2019; Kumar et al. , 2020; Mech, 2021).…”

Section: Introductionmentioning

confidence: 99%

A study of wire tool surface topography and optimization of wire electro-spark machined UNS N06690 using the federated mode of RSM-ANN

Raj

Misra

Khanduja

et al. 2021

IJSI

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PurposeThe purpose of this study is to examine the postprocessed wire tool surface using scanning electron microscopy and find out the streamlined conditions of input process variables using multi-objective optimization techniques to get minimum wire wear values.Design/methodology/approachA federated mode of response surface methodology (RSM) and artificial neural network (ANN) is used to optimize the process variables during the machining of a nickel-based superalloy.FindingsThe study explores that with the rise in spark-off time and spark gap voltage, the rate of wire tool consumption also escalates.Originality/valueMost of the researchers used the RSM technique for the optimization of process variables. The RSM generates a second-order regression model during the modeling and optimization of a manufacturing process whose major limitation is to fit the collected data to a second-order polynomial. The leading edge of ANN on the RSM is that it has comprehensive approximation capability, i.e. it can approximate virtually all types of nonlinear functions, including quadratic functions also.

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Optimization of dynamic properties of hybrid composite shaft with newly developed resin (NDR) using grey relational analysis

Cited by 9 publications

References 24 publications

Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis

Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis

A novel reliability index approach and applied it to cushioning packaging design

A study of wire tool surface topography and optimization of wire electro-spark machined UNS N06690 using the federated mode of RSM-ANN

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