PAN precursor fabrication, applications and thermal stabilization process in carbon fiber production: Experimental and mathematical modelling

H Khayyam, RN Jazar, S Nunna… - Progress in Materials …, 2020 - Elsevier
Polyacrylonitrile (PAN) is a versatile man-made polymer and has been used in a large array
of products since its first mass production in the mid 40s. Among all applications of PAN the …

Residence time distribution (RTD) revisited

AE Rodrigues - Chemical engineering science, 2021 - Elsevier
Abstract Residence Time Distribution (RTD) theory is revisited and tracer technology
discussed. The background of RTD following Danckwerts ideas is presented by introducing …

Mathematical and computational approaches for design of biomass gasification for hydrogen production: A review

TY Ahmed, MM Ahmad, S Yusup, A Inayat… - … and Sustainable Energy …, 2012 - Elsevier
The ever growing environmental concern caused by excessive use of fossil fuels in energy
and transportation systems triggered considerable investigations on alternative energy …

Artificial neural networks: applications in chemical engineering

M Pirdashti, S Curteanu, MH Kamangar… - Reviews in Chemical …, 2013 - degruyter.com
Artificial neural networks (ANN) provide a range of powerful new techniques for solving
problems in sensor data analysis, fault detection, process identification, and control and …

Efficient hybrid modeling of CO2 absorption in aqueous solution of piperazine: Applications to energy and environment

A Dashti, M Raji, A Razmi, N Rezaei… - … Research and Design, 2019 - Elsevier
Carbon dioxide (CO 2) considerably contributes to the greenhouse effects and
consequently, to the global warming. Thus, reduction of CO 2 emissions/concentration in the …

Mathematical modeling by fractional calculus applied to separation processes

AL Ferrari, MCS Gomes, ACR Aranha… - Separation and …, 2024 - Elsevier
Process modeling is a way of representing real problems through equations and while the
traditional models of mass and heat transfer processes consider the transient term as a first …

Application of neural networks in membrane separation

M Asghari, A Dashti, M Rezakazemi, E Jokar… - Reviews in Chemical …, 2020 - degruyter.com
Artificial neural networks (ANNs) as a powerful technique for solving complicated problems
in membrane separation processes have been employed in a wide range of chemical …

A machine learning case study with limited data for prediction of carbon fiber mechanical properties

G Golkarnarenji, M Naebe, K Badii, AS Milani… - Computers in …, 2019 - Elsevier
Predicting success before full scale manufacturing is the cornerstone of every high-tech
industry. Many factors should be considered when designing a product. Design of …

Model-based design of a pilot-scale simulated moving bed for purification of citric acid from fermentation broth

J Wu, Q Peng, W Arlt, M Minceva - Journal of Chromatography A, 2009 - Elsevier
One of the conventional processes used for the recovery of citric acid from its fermentation
broth is environmentally harmful and cost intensive. In this work an innovative benign …

Multi-objective optimization of manufacturing process in carbon fiber industry using artificial intelligence techniques

G Golkarnarenji, M Naebe, K Badii, AS Milani… - Ieee …, 2019 - ieeexplore.ieee.org
Seeking high profitability by improving energy efficiency and production quality is the prime
goal of manufacturing industries. However, achieving this aim involves the realization of …