Advances in Mixing Technology for Industry Processing: Design, Optimization, and Performance Analysis
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 454
Special Issue Editors
Interests: mixing technology; waste treatment; CFD
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite contributions to this Special Issue of Processes on “Advances in Mixing Technology for Industry Processing Design, Optimization, and Performance Analysis”. With the advancement of automation technology, the application of feed mixer equipment in agricultural feeding production is becoming increasingly widespread, greatly reducing labor input and improving feeding efficiency, which has attracted widespread attention.
This Special Issue will focus on advancing the design, analysis, and optimization of mixing processes, particularly within the agricultural and food processing sectors. Efficient mixing is crucial for product quality, homogeneity, energy efficiency, and overall process performance in applications ranging from feed production to food ingredients, fertilizers, and biomaterials. We invite original research and review articles that address recent innovations and challenges in mixing technology.
Topics of interest include, but are not limited to, the following:
- Computational Fluid Dynamics (CFD) modeling and simulations of mixing processes;
- Optimizations of mixer geometry (e.g., vessel design, impeller/blade structure) using techniques like Response Surface Methodology (RSM), Design of Experiments (DoE), or machine learning;
- Analyses of mixing performance indicators (e.g., mixing time, homogeneity, segregation, turbulent kinetic energy, shear rate distribution, temperature uniformity);
- Experimental validations of mixing models and simulations;
- Means of scaling-up mixing processes from lab to industrial scale;
- Applications of advanced mixing technologies in agricultural processing (feed, grain, biomass), food engineering, pharmaceuticals, and chemical engineering;
- Studies of the impact of rheology and particle characteristics on mixing efficiency;
- Energy consumption analyses and optimizations in mixing operations;
- Novel impeller designs and mixing strategies for enhanced performance.
This Special Issue aims to showcase cutting-edge research that bridges our fundamental understanding of mixing phenomena with practical engineering solutions to improve process efficiency, product quality, and sustainability in relevant industries.
Dr. Kunlei Wang
Dr. Jianbin Luo
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. Processes is an international peer-reviewed open access monthly 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 2400 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
- mixing technology
- process optimization
- Computational Fluid Dynamics (CFD)
- Response Surface Methodology (RSM)
- Design of Experiments (DoE)
- mixing models and simulations
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