Fracture toughness, a parameter representing the resistance to fracture and capacity of a
material to absorb impact force or energy, is one of the key performance indicators that need …

50 years ago, Karl Ziegler and Giulio Natta were awarded the Nobel Prize for their discovery
of the catalytic polymerization of ethylene and propylene using titanium compounds and …

NU-1000-(bpy) Ni II, a highly porous MOF material possessing well-defined (bpy) NiII
moieties, was prepared through solvent-assisted ligand incorporation (SALI). Treatment with …

Industrial process data is complex time series data including trend and periodicity. However,
the existing soft sensor models only focus on the time series context. Therefore, a novel …

Chemical process modeling is the basis for research and applications in related fields. With
the development of industrial informatization, data-driven process modeling techniques are …

In this paper, the most influential parameters (numerical and operating parameters) affecting
the performance of fluidized bed reactors are studied. The investigated parameters are …

In this work a model predictive control approach based on a neural network Wiener model is
developed and applied for an intensified continuous reactor. The Wiener model is …

This study investigates using deep reinforcement learning (DRL) with proportional-integral-
derivative (PID) control for temperature cascade control in a fluidized bed reactor within a …

This is a detailed review on olefin polymerization models, and the most recent process
control approaches used to control these nonlinear systems are presented. Great focus has …

A dynamic model for ethylene copolymerization in an industrial Fluidized-Bed Reactor (FBR)
is developed to describe its behavior and calculate the properties of polyethylene. The …