Simultaneous multi-objective optimization of a new promoted ethylene dimerization catalyst using grey relational analysis and entropy measurement

Mahdaviani, Seyed Hamed; Parvari, Matin; Soudbar, Davood

doi:10.1007/s11814-015-0158-z

Cited by 5 publications

(4 citation statements)

References 53 publications

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“…To broaden the application scope of grey clustering, some scholars tried to combine grey theory with panel data and put forward the grey clustering method under panel data [8]. By combining the model with the traditional grey relational clustering method, good clustering results are achieved [9]. By using the principal component analysis method, the grey clustering coefficient matrix at different times is obtained by calculating the correlation degree between the score sequences of the principal components of two comprehensive factors [10].…”

Section: Introductionmentioning

confidence: 99%

Research on Grey Relational Clustering Model of Multiobjective Human Resources Based on Time Constraint

Wang

2021

Scientific Programming

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The existing grey relational clustering method has limitations in the application of multidimensional sequences and cannot directly calculate the grey correlation degree between unequal-length sequences. In this paper, by introducing the multidimensional dynamic DTW distance into the existing 3D grey relational model, a new grey relational analysis model that can be applied to multidimensional data is proposed, which is based on DTW distance. The model does not require one-to-one correspondence of data points but evaluates the similarity of its geometric curves by calculating the shortest distance between sequences. In addition, since the traditional grey correlation clustering method is implemented, the method first extracts the reference sequence from the observation sequence and then calculates the similarity between the observation objects by calculating the grey correlation degree between each sequence and the reference sequence, so each object only needs to be calculated once. The experimental results show that the multidimensional grey correlation degree based on DTW distance and the grey relational clustering model oriented to multidimensional data are more accurate than other existing methods. Finally, the grey relation clustering method of multidimensional data is used to analyze the multiobjective human resource grey relational clustering model under time constraints, and the validity of the model is verified.

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Section: Introductionmentioning

confidence: 99%

Research on Grey Relational Clustering Model of Multiobjective Human Resources Based on Time Constraint

Wang

2021

Scientific Programming

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“…The entropy measurement method is otherwise referred to as grey entropy measurement method in some literature. Ray [35], Mahdaviani et al [36], Cai and Wang [37], and Huang and Dao [38] have demonstrated the capability of using entropy measurement approach (for computing important weights of output parameters) in optimizing electrical discharge machining (EDM), ethylene dimerization catalyst, automotive S-rail to improve crashworthiness, and 2-DOF flexure-based mechanism respectively. Meanwhile, this approach has not been employed in optimizing friction stir spot welds.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Friction Stir Spot Welds of Aluminum Alloy Using Entropy Measurement

Ojo

2019

JERA

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Surface finish accrued extra-production cost, reduced effective sheet thickness, stir zone galling, undesirable flash-root stress concentration and fatigue cracks are consequences of bulk expulsion of flash during friction stir spot welding of aluminum alloys. This paper attempts to cutback the abovementioned challenges and improves the weld strength (shear failure load) of friction stir spot welded joints of an Al alloy by adopting an integrated Grey relational analysis-entropy measurement method as a multi-objective optimization tool. Shear failure load, and expelled flash properties (pushed out length and thickness) are the three examined quality characteristics of the joint while tool rotational speed (600-1400 rpm), dwell time (3-6 s) and plunge depth (1.5-1.7 mm) are the studied process parameters. The experiment was planned via the use of Taguchi method whereas the entropy measurement method facilitated the identification of the precise weighting values required for the estimation of the unified grey relational grade. The failure load of the joint was maximized while both flash height and pushed-out length were minimized. The optimized shear failure load and flash properties were attained at a parameter setting of 1400 rpm rotational speed, 6 s dwell time and 1.5 mm plunge depth. The tool rotational speed was found to have the most significant effect and percentage contribution on the combined responses with 67.75%, followed by plunge depth (12.88 %) and dwell time (11.94 %) respectively. The validation results confirm the robustness of the entropy measurement-based multi-objective optimization as a tool for improving the quality responses of friction stir spot welds.

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“…This deficiency has been the subject of many studies over decades. The researches showed that the addition of some additives or modifiers enhance the productivity of such catalysts …”

Section: Introductionmentioning

confidence: 99%

“…The solid by‐products deposit on the wetted parts of plant units, for example, heat exchangers and dimerization reactor, which impact the process. Under severe conditions, it leads to fouling which disturbs the normal operation of the plant . The quantity of such by‐products is a critical factor, so it is highly desirable to prevent the formation of these by‐products.…”

Section: Introductionmentioning

confidence: 99%

Alkoxysilane modification of a Ti‐based catalyst system for ethylene dimerization: A step forward in enhancing productivity and selectivity

Bigdeli

Abdouss

Abedi

2016

J of Applied Polymer Sci

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Alkoxysilanes were used as novel enhancing agents in the Ti-based catalyst for the highly selective ethylene dimerization to butene-1. The dimerization of ethylene was carried out using the homogeneous Ti(OBu) 4 /THF/TEA/alkoxysilane catalyst system, where Ti(OBu) 4 , THF (tetrahydrofuran), TEA (triethylaluminum), and alkoxysilane were used as catalyst, additive, activator, and modifier, respectively. The nature and concentration of alkoxysilanes on the dimerization rate, catalyst yield, by-products production, and selectivity to butene-1 were investigated in detail. It was found that the performance of alkoxysilanes assisted with the class of the Ti-based catalyst system, developed in this work, has been furthered by high productivity and selectivity with respect to the bare catalyst system. It proved that alkoxysilanes could play an excellent improving role in the selective ethylene dimerization process. V C 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 44615.

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Simultaneous multi-objective optimization of a new promoted ethylene dimerization catalyst using grey relational analysis and entropy measurement

Cited by 5 publications

References 53 publications

Research on Grey Relational Clustering Model of Multiobjective Human Resources Based on Time Constraint

Research on Grey Relational Clustering Model of Multiobjective Human Resources Based on Time Constraint

Multi-Objective Optimization of Friction Stir Spot Welds of Aluminum Alloy Using Entropy Measurement

Alkoxysilane modification of a Ti‐based catalyst system for ethylene dimerization: A step forward in enhancing productivity and selectivity

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