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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Policy & Risk Remediation Sign in to save

Water Treatment Technologies: Development of a Test Bench for Optimizing Flocculation-Thickening Processes in Laboratory Applications

Processes 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 43 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Amine Ennawaoui, Mohammed Rachidi, Nasr Guennouni, Ilyass Mousaid, Ilyass Mousaid, Mohamed Amine Daoud, Hicham Mastouri, Chouaib Ennawaoui, Younes Chhiti, Oussama Laayati

Summary

Despite its title referencing water treatment, this paper describes the engineering design of an automated laboratory test bench for optimizing industrial flocculation and thickening processes in wastewater treatment plants — not microplastic pollution. It examines process control engineering and is not relevant to microplastics or human health.

Study Type Environmental

This study introduces an automated test bench designed to optimize flocculation-thickening processes in the wastewater treatment industry. Addressing current challenges in operational efficiency and cost reduction, the test bench employs Model-Based Systems Engineering (MBSE) principles, leveraging SysML modeling within the CESAM framework. By integrating advanced technologies, including PLC programming and a closed-loop control system, this bench provides precise and efficient testing under varying operational conditions. Economic implications are explored, demonstrating the cost-effectiveness of optimized flocculation processes, which reduce chemical use and operational expenditures while enhancing water clarity and sludge management. The system’s 3D modeling enables detailed simulations, aiding in both research and pedagogical applications. This platform highlights the potential of MBSE in creating scalable, robust solutions that contribute to sustainable water management.

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