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Bibliometric and Co-Occurrence Study of Process System Engineering (PSE) Applied to the Polyvinyl Chloride (PVC)
Ángel Darío González-Delgado1, Miguel Ramos-Olmos1,2, Nórida Pájaro-Gómez1
1Nanomaterials and Computer Aided Process Engineering Research Group (NIPAC), Chemical Engineering Department, Universidad de Cartagena, Cartagena 130015, Bolívar, Colombia.
Process system engineering (PSE) enhances polyvinyl chloride (PVC) production through advanced modeling and simulation. Research highlights key areas for optimizing PVC manufacturing and addressing environmental concerns.
Area of Science:
- Chemical Engineering
- Materials Science
- Data Science
Background:
- Polyvinyl chloride (PVC) is a versatile, cost-effective polymer utilized across packaging, electrical insulation, and medical devices.
- Its desirable properties include resistance, incombustibility, and barrier capabilities, driving widespread industrial application.
- Optimizing PVC production processes is crucial for efficiency, sustainability, and meeting diverse market demands.
Purpose of the Study:
- To conduct a bibliometric and co-occurrence analysis of Process System Engineering (PSE) applied to PVC production.
- To identify current trends, research gaps, future directions, and challenges in PVC manufacturing.
- To map the evolution and key themes within the simulation of PVC production.
Main Methods:
- Bibliometric analysis of SCOPUS database records.
- Co-occurrence analysis using VOSviewer software.
- Topic modeling to identify research clusters and thematic progression.
Main Results:
- Literature clusters around modeling, simulation, process control, and optimization strategies for PVC production.
- Key research areas include mathematics/statistics in polymer chemistry, separation phenomena, and polymer production.
- Trends indicate the utility of Monte Carlo and numerical simulations for understanding PVC properties and behavior.
Conclusions:
- Process System Engineering (PSE) offers vital tools for enhancing PVC production through advanced techniques.
- Developing novel algorithms for continuous polymerization simulation is essential for improving accuracy and efficiency.
- Future research should focus on simulation, environmental impact (plastics/microplastics), and advanced process engineering for PVC manufacturing.
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