Multi-objective optimization of cutting parameters for turning AISI 52100 hardened steel

Serra, Roger; Chibane, Hicham; Duchosal, Arnaud

doi:10.1007/s00170-018-2373-3

Cited by 29 publications

(13 citation statements)

References 21 publications

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“…The developed association between variables can be used for better control and productivity of the process. Researchers have employed this technique to model various advanced manufacturing processes empirically [39][40][41][42][43][44]. In the present study, the association between the process control parameters and the response of the process is generalized by the following expression [45]:…”

Section: Nonlinear Regression Analysismentioning

confidence: 99%

An experimental investigation for parametric appraisal of electrohydrodynamic-driven microfabrication approach using teaching and learning-based optimization

Das

Roy

Murmu

2020

J Braz. Soc. Mech. Sci. Eng.

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Electrohydrodynamic (EHD)-based microfabrication process is a novel high-resolution pattern generation technology for micro/nanoscale system fabrication. Achieving tiny droplets during deposition has been a critical issue for the further development of this new emerging technology. It is imperative to identify the proper fabrication parameters to get the desired resolution operation. In the current study, first, an experimental EHD microfabrication setup is developed, and then experiments are carried out to search for an operating condition, which can promote high-resolution droplet generation. The experiments are planned by design of experiment scheme. The influence of the operating control parameters such as nozzle to substrate gap, voltage and the supply rate of the material on deposited droplets diameter is investigated in the current work. Characterization study reveals that nozzle to substrate gap and supply rate have a positive effect on deposition behavior, whereas voltage has a negative association with the droplet resolution. For better control of the EHD process, a causal relationship is developed between process control and performance parameter. A metaheuristic search algorithm named teaching and learning-based optimization (TLBO) is employed to find out the optimal operating environment of the EHD process. The results are compared with the traditional robust parameter design approach, and the authors found that TLBO performs more effectively for resolution improvement in the EHD-driven microfabrication process. Moreover, the sequence in which the control parameters govern the fabrication process is identified and reported.

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Section: Nonlinear Regression Analysismentioning

confidence: 99%

An experimental investigation for parametric appraisal of electrohydrodynamic-driven microfabrication approach using teaching and learning-based optimization

Das

Roy

Murmu

2020

J Braz. Soc. Mech. Sci. Eng.

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“…Many studies were performed to improve the accuracy and productivity of machining processes [1][2][3][4][5][6][7][8][9][10][11][12]. In which, most studies focus on determining the optimal values of the cutting parameters to ensure the surface roughness with the smallest value, the force components with the smallest values, and the material removal rate with greatest value.…”

Section: Introductionmentioning

confidence: 99%

“…The regression analysis method was used to optimize the turning process of PM nickel-based superalloy [9]. Weighting factor method and GA algorithm were applied to optimize the turning process of 52100 steel [10].…”

Section: Introductionmentioning

confidence: 99%

Study on Multi-Objective Optimization of the Turning Process of en 10503 Steel by Combination of Taguchi Method and Moora Technique

2021

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The aim of research is to simulate the zones of solar radiation on the curved surfaces of the shells of high-rise buildings for the effective use of renewable solar energy. An urgent task is the development of tools that can substantiate the decision-making by designers about the location of solar thermal devices in the energy-efficient design of curvilinear high-rise buildings. The main attention is paid to high-rise buildings, is actively growing in modern megalopolises and requires a significant energy resource. To optimize the integration of solar thermal devices in high-rise buildings, it is important to take into account a set of design parameters, including parameters of surface shape and location in space. A feature of curved surfaces, considered in the study, is their aerodynamic properties, which provide them with the advantage of choosing among modern high-rise buildings. At the same time, the complexity of setting the parameters of a curved surface to determine the zones of solar radiation for the effective use of regenerative solar energy lies in providing reliable and convenient tools for optimizing decision-making. The study proposes an application of the method based on a discrete geometric model of solar radiation input on the surface of the shells of high-rise buildings, described by compartments of curved geometric surfaces. As a result of modeling, let’s obtain a family of lines of the same level of solar radiation on a certain curved surface for the given parameters of time and geographic location. As an example of simulation modeling, the performed calculations of the instantaneous model of the distribution of solar radiation on the compartments of the curved surfaces of an ellipsoid of revolution, hemisphere, hyperbolic paraboloid. On the basis of the proposed model for the distribution of solar radiation over curvilinear surfaces of buildings, the influence of factors arising in the design process is investigated: changes in the geometric parameters of the surface shape, orientation to the cardinal points, the formation of zones of its own shadow on surfaces. Calculations were performed and instantaneous solar radiation zones were constructed on the surfaces of a hemisphere, a hyperbolic paraboloid with various geometric parameters, taking into account different orientations relative to the cardinal points, and determining the zones of its own shadow. At this stage of the study, the result is an algorithm for constructing zones of different levels of solar radiation on curved surfaces of high-rise buildings. The advantage of the algorithm is the ability to analyze the results of changes in the design parameters of the surface of a high-rise building when placing solar systems on them. The proposed approach will provide a basis for automating the modeling process, will help expand the scope of solar systems in high-rise construction and increase the efficiency of their work

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“…Akhtar Khan and Kalipada Maity employed fuzzy and TOPSIS for determining optimal combination of process parameters while turning of commercially pure titanium [9]. Process parameters optimization was done by using various techniques like GRA-PCA, GA, ANN [10][11][12][13][14][15]. In solving Multi Criteria Decision Making (MCDM) problems TOPSIS was reported to be more efficient due to less computational time, easily understandable and simple [16][17].…”

Section: Introduction 2 Experimental Detailsmentioning

confidence: 99%

Topsis Based Optimization of Process Parameters While Hard Turning of Aisi 52100 Steel

Umamaheswarrao¹,

Raju²,

Suman³

et al. 2019

Acta mech. Malays.

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In the present work optimization of machining parameters is performed by employing Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) while AISI 52100 steel hard turning with polycrystalline cubic boron nitride (PCBN) tools. Based on Central Composite Design (CCD) of Response Surface Method (RSM) experiments are planned and conducted. Experiments were accomplished by varying machining parameters such as cutting speed, feed, depth of cut, nose radius and negative rake angle. In this study surface roughness and workpiece surface temperature are measured during experiment. To determine the influence of cutting parameters, Analysis of variance (ANOVA) was deployed. Optimal turning parameters are cutting speed 200 rpm, feed 0.1 mm/rev, depth of cut 0.7 mm, nose radius 1.2 mm and negative rake angle 45º.

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Multi-objective optimization of cutting parameters for turning AISI 52100 hardened steel

Cited by 29 publications

References 21 publications

An experimental investigation for parametric appraisal of electrohydrodynamic-driven microfabrication approach using teaching and learning-based optimization

An experimental investigation for parametric appraisal of electrohydrodynamic-driven microfabrication approach using teaching and learning-based optimization

Study on Multi-Objective Optimization of the Turning Process of en 10503 Steel by Combination of Taguchi Method and Moora Technique

Topsis Based Optimization of Process Parameters While Hard Turning of Aisi 52100 Steel

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