Volume 18 (2021)
Volume 16 (2019)
Volume 15 (2018)
Volume 14 (2017)
Volume 13 (2016)
Volume 12 (2015)
Volume 11 (2014)
Volume 10 (2013)
Volume 9 (2012)
Volume 8 (2011)
Volume 7 (2010)
Volume 6 (2009)
Volume 5 (2008)
Volume 4 (2007)
Volume 3 (2006)
Volume 2 (2005)
Volume 1 (2004)
Effects of particle size distribution on flotation kinetics of bituminous coal
1. Effects of particle size distribution on flotation kinetics of bituminous coal

A. Bahrami; Y. Ghorbani; E. Gulcan; F. Kazemi; H. Kakaei; S. Farajzadeh

Volume 17, Issue 2 , Spring 2020, Pages 3-13

http://dx.doi.org/10.22034/ijche.2020.184831.1303

Abstract
  Particle size distribution is an important parameter in flotation process, which affects the floatability and therefore the flotation kinetics. This study aims to investigate the effects ...  Read More
Modified and unmodified Graphite/unsaturated polyester resin composites: thermal and mechanical behavior
2. Modified and unmodified Graphite/unsaturated polyester resin composites: thermal and mechanical behavior

N. Yavari; M. Poorabdollah; L. Rajabi

Volume 17, Issue 2 , Spring 2020, Pages 14-33

http://dx.doi.org/10.22034/ijche.2020.232609.1334

Abstract
  In this study, unmodified graphite and graphite modified with a silane agent were used to ameliorate the thermal conductivity coefficient and dynamical properties of unsaturated polyester ...  Read More
Incorporation of Metal Oxide on Mica Flakes as a Green Pearlescent Pigment: Preparation and Analysis
3. Incorporation of Metal Oxide on Mica Flakes as a Green Pearlescent Pigment: Preparation and Analysis

M. Cheraghipoor; M. Zakeri

Volume 17, Issue 2 , Spring 2020, Pages 34-43

http://dx.doi.org/10.22034/ijche.2020.234719.1339

Abstract
  Pearlescent pigments are a variety of pigments that can generate an optical pleasant appearance in the system because of the ability of easy parallel orientation of a large number of ...  Read More
Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases
4. Developing genetic algorithm-based neural networks and sensitivity analysis for thermal conductivity of natural gases

R. Beigzadeh; R. Ozairy

Volume 17, Issue 2 , Spring 2020, Pages 44-55

http://dx.doi.org/10.22034/ijche.2020.249879.1349

Abstract
  The artificial neural network (ANN) approach was applied to develop simple correlations for predicting the thermal conductivity of nitrogen-methane and carbon dioxide-methane mixtures. ...  Read More
Developing a Mathematical Model to Predict the Behavior of a Supersonic Superheated Steam Flow inside a Laval Nozzle
5. Developing a Mathematical Model to Predict the Behavior of a Supersonic Superheated Steam Flow inside a Laval Nozzle

H. Rezaei; S. Ovaysi; M. Rahimi

Volume 17, Issue 2 , Spring 2020, Pages 56-69

http://dx.doi.org/10.22034/ijche.2020.253425.1354

Abstract
  The objective of the investigation was to mathematically correlate the behavior of a supersonic superheated steam flow inside a Laval nozzle, against the decision parameters. The decision ...  Read More
Increasing flow capacity and reducing drag in microtubes using drag-reducing polymer
6. Increasing flow capacity and reducing drag in microtubes using drag-reducing polymer

M.H. Akbari; M. Rahimi; H.R. Karami

Volume 17, Issue 2 , Spring 2020, Pages 70-87

http://dx.doi.org/10.22034/ijche.2020.245720.1346

Abstract
  Decreasing pressure losses in microtubes is an important subject, especially when increase in flow capacity is required. In the same pumping power, decreasing the pressure drops is ...  Read More