Rheological studies and optimization of Herschel-Bulkley flow parameters of viscous karaya polymer suspensions using GA and PSO algorithms (vol 57, pg 267, 2018)

被引：4

作者：

Chauhan, Geetanjali ^{[1
]}

Verma, Amit ^{[1
]}

Das, Akashdeep ^{[1
]}

Ojha, Keka ^{[1
]}

机构：

[1] Indian Sch Mines, Indian Inst Technol, Dept Petr Engn, Dhanbad, Bihar, India

来源：

RHEOLOGICA ACTA | 2018年 / 57卷 / 03期

关键词：

Bio-polymer; Genetic algorithm; Herschel-Bulkley; Karaya; Particle swarm optimization; Rheology; Thermogelation;

D O I：

10.1007/s00397-017-1067-3

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

Some major changes that were required in the figures and table were not implemented. The corrections were mentioned when the proofread was submitted. These changes were made to make the manuscript more readable and presentable in black and white print out for the readers.

引用

页码：287 / 291

页数：5

共 3 条

[1] Correction to: Rheological studies and optimization of Herschel-Bulkley flow parameters of viscous karaya polymer suspensions using GA and PSO algorithms
Geetanjali Chauhan
Amit Verma
Akashdeep Das
Keka Ojha
Rheologica Acta, 2018, 57 : 287 - 291
[2] Rheological studies and optimization of Herschel-Bulkley parameters of an environmentally friendly drilling fluid using genetic algorithm
Ouaer, Hocine
Gareche, Mourad
Rooki, Reza
RHEOLOGICA ACTA, 2018, 57 (11) : 693 - 704
[3] Mathematical modeling and intelligent optimization of submerged arc welding process parameters using hybrid PSO-GA evolutionary algorithms (vol 12, pg 861, 2020)
Choudhary, Ankush
Kumar, Manoj
Gupta, Munish Kumar
Unune, Deepak Rajendra
Mia, Mozammel
NEURAL COMPUTING & APPLICATIONS, 2020, 32 (15): : 11961 - 11961

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