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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space
AbstractChemical reaction optimization (RO) is an iterative process that results in large, high-dimensional datasets. Current tools allow for only...
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Optimization and simultaneous heat integration design of a coal-based ethylene glycol refining process by a parallel differential evolution algorithm
Coal to ethylene glycol still lacks algorithm optimization achievements for distillation sequencing due to high-dimension and strong nonconvexity...
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Decision support for the development, simulation and optimization of dynamic process models
Simulation is besides experimentation the major method for designing, analyzing and optimizing chemical processes. The ability of simulations to...
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Optimization of Arabinogalactan Sulfation in Process Scaling
AbstractTo ensure the safety of the arabinogalactan sulfation process, the thermal effect of the reaction (148.26 kJ) was determined by the thermal...
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Conceptual process and surrogate optimization of acrylonitrile production from glycerol via green propylene
Acrylonitrile is a commodity currently produced from petrochemical propylene, with significant economic importance. The development of a sustainable...
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Adsorption/desorption behavior and purification process optimization of theaflavins on macroporous resin
Theaflavins, as products of tea fermentation, exhibit significant applications in the fields of functional food, medicine, and others. This study...
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Generation of DNA oligomers with similar chemical kinetics via in-silico optimization
Networks of interacting DNA oligomers are useful for applications such as biomarker detection, targeted drug delivery, information storage, and...
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Hybrid method integrating machine learning and particle swarm optimization for smart chemical process operations
Modeling and optimization is crucial to smart chemical process operations. However, a large number of nonlinearities must be considered in a typical...
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Synthesis of hydroxyapatite/polyethylene glycol 6000 composites by novel dissolution/precipitation method: optimization of the adsorption process using a factorial design: DFT and molecular dynamic
In this work, we presented a synthesis of a composite based on HAp and PEG 6000 using a new method of synthesis dissolution precipitation to be...
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Dynamic simulation and control of a triple column process for dimethyl carbonate-methanol separation
Separation of dimethyl carbonate/methanol azeotropic mixture by using pressure-swing distillation process has been a hot-point in the study of the...
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Exploring advanced process equipment visualization as a step towards digital twins development in the chemical industry: A CFD-DNN approach
Several studies involving the implementation of artificial neural network (ANN) technology for process design, monitoring, and control are under...
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Software: Tools for Optimization
This chapter emphasizes the importance of integrating optimization tools in engineering education, it enhances students’ knowledge and skills to...
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Design and optimization of a continuous purification process using ion-exchange periodic counter-current chromatography for a low-titer enzyme
A continuous purification process can be beneficial to the purification of biologics due to its higher productivity and efficiency than a...
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Chemical loo** reforming: process fundamentals and oxygen carriers
Chemical loo** reforming (CLR) provides a viable process intensification approach for clean and efficient syngas production from carbonaceous fuel...
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Multi-objective optimization of a methanol synthesis process: CO2 emission vs. economics
This work addresses the modeling and multi-objective optimization of methanol synthesis to efficiently utilize CO 2 from the CO 2 emissions and...
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Dynamic plant-wide process monitoring based on distributed slow feature analysis with inter-unit dissimilarity
In order to overcome the dynamic and large-scale characteristics of the plant-wide processes, this paper proposed a distributed slow feature analysis...
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Soft sensor development based on just-in-time learning and dynamic time war** for multi-grade processes
This study presents the development of soft sensors based on just-in-time learning (JITL) and dynamic time war** (DTW) for online quality...
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A hybrid spatial-temporal deep learning prediction model of industrial methanol-to-olefins process
Methanol-to-olefins, as a promising non-oil pathway for the synthesis of light olefins, has been successfully industrialized. The accurate prediction...
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Comparison of Dynamic Tests of the Modified Purex Process Flowsheet Using 30 and 45% TBF in Isoparaffin
AbstractResults of centrifugal contactor rig trials of the flowsheet of the first solvent extraction cycle in protective glove boxes using simulated...
