New Advances in Chemical Engineering

A special issue of ChemEngineering (ISSN 2305-7084).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1225

Special Issue Editors


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Department of Chemical and Biochemical Engineering, University Politehnica of Bucharest, Polizu Str. 1-7, 011061 Bucharest, Romania
Interests: chemical and biochemical engineering; chemical and biochemical processes; process intensification; advanced purification
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Chemical and Biochemical Engineering, University Politehnica of Bucharest, 011061 Bucharest, Romania
Interests: unit operation in chemical and biochemical engineering; industrial microbiology; bioreactors; waste and wastewater treatment; active bio/nanomaterials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In this Special Issue, we aim to collect new developments and trends in the chemical engineering field.

“What is chemical engineering?” This is a simple question. The answer, however, is not that simple. There are hundreds of definitions of chemical engineering—some intuitive, some more sophisticated. Many of them mention fundamental sciences, materials sciences, interdisciplinarity, multifunctionality, performance in processes, operations, or manufacturing.

Therefore, through this Special Issue, you are invited to emphasize, modify, reorganize, redesign, or improve this amazing field of chemical engineering. Topics of interest include but are not limited to petroleum products and the petrochemical industry, process intensification, biorefineries, energy and sustainability, carbon capture, zero waste, the circular economy, etc.

Dr. Iuliana-Mihaela Deleanu
Dr. Gabriela Olimpia Isopencu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ChemEngineering is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green manufacturing
  • process intensification
  • advanced separations
  • mathematical modelling of chemical processes
  • artificial intelligence in chemical engineering
  • wastes and by-products valorization
  • innovative materials
  • carbon capture

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Published Papers (2 papers)

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Research

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11 pages, 1540 KiB  
Article
Predictive Modeling and Analysis of Cu–Be Alloys: Insights into Material Properties and Performance
by Mihail Kolev
ChemEngineering 2024, 8(4), 70; https://doi.org/10.3390/chemengineering8040070 - 10 Jul 2024
Viewed by 583
Abstract
Cu–Be alloys are renowned for their exceptional mechanical and electrical properties, making them highly sought after for various industrial applications. This study presents a comprehensive approach to predicting the compositions of various types of Cu–Be alloys, integrating a Random Forest Regressor within a [...] Read more.
Cu–Be alloys are renowned for their exceptional mechanical and electrical properties, making them highly sought after for various industrial applications. This study presents a comprehensive approach to predicting the compositions of various types of Cu–Be alloys, integrating a Random Forest Regressor within a machine learning (ML) framework to analyze an extensive dataset of chemical and thermo-mechanical parameters. The research process incorporated data preprocessing, model training and validation, and robust analysis to discern feature significance. Cluster analysis was also conducted to illuminate the data’s intrinsic groupings and to identify underlying metallurgical patterns. The model’s predictive power was confirmed by high R2 values, indicative of its capability to capture and explain the variance in the dataset for both testing (R2 = 0.99375) and training (R2 = 0.99858). Distinct groupings within the alloy data were uncovered, revealing significant correlations between composition, processing conditions, and alloy properties. The findings underscore the potential of ML techniques in advancing the material design and optimization of Cu–Be alloys, providing valuable insights for the field of material science. Full article
(This article belongs to the Special Issue New Advances in Chemical Engineering)
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Review

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32 pages, 3209 KiB  
Review
Reverse Polarity-Based Soil Electrokinetic Remediation: A Comprehensive Review of the Published Data during the Past 31 Years (1993–2023)
by Ahmed Abou-Shady and Heba El-Araby
ChemEngineering 2024, 8(4), 82; https://doi.org/10.3390/chemengineering8040082 - 15 Aug 2024
Viewed by 174
Abstract
Soil restoration by exploiting the principles and basics of electrokinetic (EK) has been extended to involve several categories, such as electrokinetic remediation in soil (SEKR), soil consolidation, the prevention of soil pollution, reclaiming salt-affected soil, the dewatering/dryness of wet soils, water reuse, seed [...] Read more.
Soil restoration by exploiting the principles and basics of electrokinetic (EK) has been extended to involve several categories, such as electrokinetic remediation in soil (SEKR), soil consolidation, the prevention of soil pollution, reclaiming salt-affected soil, the dewatering/dryness of wet soils, water reuse, seed germination, sedimentation, etc. As an extension of our recently published review articles on the soil electrokinetic (SEK) process intensification/optimization, the present review illustrates the effect of a reverse-polarity mode (RPM) on the efficiency of the SEK. Based on several searches of six database search engines, we did not find any relevant reviews focused on SEK improvements using the RPM. The influences of the RPM are described by various features, including (a) pollutant removal (organic, inorganic, and mixed pollutants) and (b) integration with other processes (phyto/bioremediation and Fenton oxidation), geosynthetics (consolidation, stabilization, and sedimentation), SEK operation conditions, and soil properties. Most of the RPM studies have focused on the remediation of organic pollutants. Several benefits can be gained from applying the RPM, such as (a) controlling the soil’s temperature, pH, and moisture values at desirable levels, (b) reducing a large number of chemical additives, (c) high remediation efficiency, (d) maintaining the indigenous fungal community’s appropriate diversity and abundance, (e) a stable and higher electric current, (f) enhancing microbial growth, etc. However, the hindrances to applying the RPM are (a) reducing the electroosmosis flow, (b) relatively high energy consumption, (c) reducing the diversity of soil microbes with a prolonged experiment period, (d) providing oxygen for a microbial community that may not be desirable for anaerobic bacteria, etc. Finally, the RPM is considered an important process for improving the performance of the SEK, according to experimental endeavors. Full article
(This article belongs to the Special Issue New Advances in Chemical Engineering)
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