Modeling and optimization of turning process parameters during the cutting of polymer (POM C) based on RSM, ANN, and DF methods

Chabbi, Amel; Yallese, Mohamed Athmane; Nouioua, Mourad; Meddour, Ikhlas; Mabrouki, Tarek; Girardin, François

doi:10.1007/s00170-016-9858-8

Cited by 69 publications

(52 citation statements)

References 19 publications

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“…However, the minimum surface roughness of the left foot insole resulted in feed rate and spindle speed, toolpath strategy and step over at low levels, while EVA foam at any level of hardness. The explaination of the result that the feed rate increasing for machining process with yields vibration and more generate heat and hence contributing to the higher value of surface roughness according by [31]. It seems that the lowest step over resulted in a reduction in the value of surface roughness.…”

Section: F Ementioning

confidence: 93%

CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization

Anggoro¹,

Anthony²,

Bawono³

et al. 2019

JMES

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CNC milling strategy of EVA foam with varying hardness to provide a high degree of surface roughness of orthotic shoe insoles is presented in this work. Machining parameters (tool path strategy, spindle speed, feed rate, and step over) in addition to hardness material and wide tolerance insoles were optimized using a hybrid approach of Taguchi-Response Surface Methodology (TM-RSM). The aim of this research was to develop mathematical models and determine the optimum machining parameters which could be applied for the CNC milling of EVA foam as the insoles. Experiments were performed on a CNC milling machine with a standard milling cutter and run under dry coolants. The effects of the six parameters on the average values of surface roughness were initially analyzed by an S/N ratio of TM. Optimal conditions were established from the TM and then used to determine the optimum values in RSM modeling. The final results indicate the significant improvement of percentages (0.24% and 4.13%) in the surface roughness of the insoles obtained with TM-RSM as compared to the TM analysis. It is envisaged the present study would add to the understanding of production for orthotic shoe insoles through CNC milling.

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Section: F Ementioning

confidence: 93%

CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization

Anggoro¹,

Anthony²,

Bawono³

et al. 2019

JMES

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“…In this approach, the MOOP is transformed into a single-objective optimization by adopting a preference vector, generated by some higher-level information. The a priori approach has been employed in multiple studies (Aggarwal et al 2008;Bhushan 2013;Bouacha et al 2014;Chabbi et al 2017;Khamel, Ouelaa, and Bouacha 2012;Tebassi et al 2016), where a desirability function transforms multi-response turning problems into a single-objective optimization problem. Alternatively, several researchers adopted the theories of grey relational analysis (GRA) to solve multiple performance characteristics optimization problems based on the a priori technique (Bouzid et al 2014;Gok 2015;Kazancoglu et al 2011;Pawade and Joshi 2011).…”

Section: Introductionmentioning

confidence: 99%

Metamodel-based multi-objective optimization of a turning process by using finite element simulation

Amouzgar

Bandaru

Andersson

et al. 2019

Engineering Optimization

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This study investigates the advantages and potentials of the metamodelbased multi-objective optimization (MOO) of a turning operation through the application of finite element simulations and evolutionary algorithms to a metal cutting process. The objectives are minimizing the interface temperature and tool wear depth obtained from FE simulations using DEFORM-2D software, and maximizing the material removal rate. Tool geometry and process parameters are considered as the input variables. Seven metamodelling methods are employed and evaluated, based on accuracy and suitability. Radial basis functions with a priori bias and Kriging are chosen to model tool-chip interface temperature and tool wear depth, respectively. The non-dominated solutions are found using the strength Pareto evolutionary algorithm SPEA2 and compared with the non-dominated front obtained from pure simulation-based MOO. The metamodel-based MOO method is not only advantageous in terms of reducing the computational time by 70%, but is also able to discover 31 new non-dominated solutions over simulation-based MOO. ARTICLE HISTORY

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“…Colonna et al [20], on the other hand, analyzed the effect of different processing parameters during the production of poly(butylene terephthalate) nanocomposites, using the total factorial experiment for the three input parameters. Statistical methods were also used by Chabbi et al [21,22] in his research during the turning process of polyoxymethylene polymer (POM C).…”

Section: Introductionmentioning

confidence: 99%

Application of a compositional rotatable plan in modeling the propylene content in a vinyl chloride/propylene copolymer

Wiener

Gawdzik

2019

Polym. Bull.

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Using a fractional rotatable plan, the effect of five input parameters of the conduct of the copolymerization process on the amount of propylene built into the copolymer, obtained as a result of free radical suspension copolymerization of vinyl chloride with propylene in a batch suspension polymerization reactor, was analyzed. Using the results obtained, the analysis of variance was carried out and the influence of particular factors and their interactions on the product properties was determined. Thus, it was determined that the greatest influence on the amount of the incorporated propylene in the copolymer is exerted by the amount of propylene introduced into the system, while the effect of the initiator on the product properties analyzed was found to be negligible. A mathematical model was also made, and then it was improved through the use of stepwise regression and verification with the results of laboratory experiments. The adequacy of the achieved model was confirmed using the Fisher-Snedecor test. It was obtained the conformity of the constructed model with the analysis of the influence of particular factors on the propylene content in the copolymer.

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Modeling and optimization of turning process parameters during the cutting of polymer (POM C) based on RSM, ANN, and DF methods

Cited by 69 publications

References 19 publications

CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization

CNC milling of EVA foam with varying hardness for custom orthotic shoe insoles and process parameter optimization

Metamodel-based multi-objective optimization of a turning process by using finite element simulation

Application of a compositional rotatable plan in modeling the propylene content in a vinyl chloride/propylene copolymer

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