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[HTML][HTML] The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review
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 …
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
In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …
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
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 …
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
Energy saving and industrial pollution have become increasingly important issues, therefore
the identification and adoption of more energy efficient machines and industrial processes …
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
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 …
systems in industry. The soft sensors are process models having three fundamental …
State estimators in soft sensing and sensor fusion for sustainable manufacturing
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 …
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
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 …
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
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 …
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 …
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 …
were carried out under different gas pressures, the different extrudate deformations and …