[HTML][HTML] The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review

YS Perera, D Ratnaweera, CH Dasanayaka… - … Applications of Artificial …, 2023 - Elsevier
With the predicted depletion of natural resources and alarming environmental issues,
sustainable development has become a popular as well as a much-needed concept in …

Design of inferential sensors in the process industry: A review of Bayesian methods

S Khatibisepehr, B Huang, S Khare - Journal of Process Control, 2013 - Elsevier
In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …

A review of in-line and on-line measurement techniques to monitor industrial mixing processes

AL Bowler, S Bakalis, NJ Watson - Chemical Engineering Research and …, 2020 - Elsevier
Mixing is a ubiquitous operation in process engineering. It is not only used for combining
materials, but also for promoting heat and mass transfer, increasing aeration, suspending …

Energy efficiency in extrusion-related polymer processing: A review of state of the art and potential efficiency improvements

C Abeykoon, A McMillan, BK Nguyen - Renewable and Sustainable Energy …, 2021 - Elsevier
Energy saving and industrial pollution have become increasingly important issues, therefore
the identification and adoption of more energy efficient machines and industrial processes …

Gray-box soft sensors in process industry: Current practice, and future prospects in era of big data

I Ahmad, A Ayub, M Kano, II Cheema - Processes, 2020 - mdpi.com
Virtual sensors, or soft sensors, have greatly contributed to the evolution of the sensing
systems in industry. The soft sensors are process models having three fundamental …

State estimators in soft sensing and sensor fusion for sustainable manufacturing

M McAfee, M Kariminejad, A Weinert, S Huq, JD Stigter… - Sustainability, 2022 - mdpi.com
State estimators, including observers and Bayesian filters, are a class of model-based
algorithms for estimating variables in a dynamical system given the sensor measurements of …

[HTML][HTML] Energy monitoring and quality control of a single screw extruder

J Deng, K Li, E Harkin-Jones, M Price, N Karnachi… - Applied Energy, 2014 - Elsevier
Polymer extrusion, in which a polymer is melted and conveyed to a mould or die, forms the
basis of most polymer processing techniques. Extruders frequently run at non-optimised …

Machine learning enhanced grey box soft sensor for melt viscosity prediction in polymer extrusion processes

YS Perera, J Li, C Abeykoon - Scientific Reports, 2025 - nature.com
Melt viscosity is regarded as a key quality indicator of the polymer melt in polymer extrusion
processes. However, limitations such as disturbances to the melt flow and measurement …

Artificial intelligence and evolutionary approaches in particle technology

C Thon, M Röhl, S Hosseinhashemi… - KONA Powder and …, 2024 - jstage.jst.go.jp
Since the early 2010s, after decades of premature excitement and disillusionment, the field
of artificial intelligence (AI) is experiencing exponential growth, with massive real-world …

Numerical and experimental studies for gas assisted extrusion forming of molten polypropylene

Z Ren, X Huang, H Liu, X Deng… - Journal of Applied …, 2015 - Wiley Online Library
In this study, the experiments of gas‐assisted extrusion (GAE) for molten polypropylene
were carried out under different gas pressures, the different extrudate deformations and …