
Imad Manssouri- Professor
- Université Moulay Ismail de Meknes
Imad Manssouri
- Professor
- Université Moulay Ismail de Meknes
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64
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Introduction
Current institution
Publications
Publications (64)
Ni (II) and Cd (II) ions pose a serious threat to the health of the planet and its inhabitants. They contaminate ecosystem, endangering the survival of many species, including humans. In this study, a novel clay-chitosan composite was prepared and characterized to evaluate its adsorption potential for the removal of these pollutants. The Ni (II) an...
This research investigates the potential of a novel bentonite-verbena biochar composite for the removal of methyl orange from wastewater. Comparative adsorption studies demonstrated that this biocomposite significantly outperforms traditional adsorbents, exhibiting an 83.12 % improvement over raw bentonite. The molecular dynamics simulation reveale...
This research investigates the thermal performance of earth bricks made with different percentages of wastewater sludge additive (0%, 1%, 3%, 7%, 15%, 20%) in terms of cooling and heating loads, time lag and decrement factor. The simulation of a reference house (2.5m,10m,6m) using TRNSYS software allows for the evaluation of these parameters, exter...
This study aims to evaluate the potential of polyethylene glycol (PEG 6000), a recycled material, as an additive to improve unfired clay bricks. By proposing a sustainable alternative to traditional methods potentially linked to medical waste. This research explores the physicochemical, mechanical and thermal properties of unfired clay bricks modif...
The aim of this research is to assess the impact of using recycled rubber plastic waste as additives to clay bricks in various proportions (0%, 1%, 3%, 5%, 7%, and 15%) by weight, with different grain-sizes (δ < 1 mm and 1 mm < δ < 3 mm) to evaluate their thermophysical and mechanical properties. Following the X-ray diffraction and fluorescence tes...
The present invention is an intelligent system which concerns devices intended to support portable computers, in order to offer their users greater comfort and ergonomics. By choosing its preferred mode, the device can intelligently adapt and change its state relative to the user's posture towards a position called: comfort position. The concept is...
The present invention is an intelligent system which concerns the safety of driving private vehicles or industrial machinery, as well as any operational work taking into account the risk of fatigue, drowsiness and the risk of non-vigilance. This system makes it possible to prevent road accidents and work accidents relating to these types of frequen...
Aiming to reduce the resources invested in the laboratory assessment of unfired clay bricks incorporating natural wastes as additives, this paper proposes an evaluation of the surface porosity of unfired clay bricks with almond husk powder using processing of the SEM (Scanning electron microscope) images of representative cubes and its relationship...
Despite the numerous advantages introduced by renewable energy technologies to the global energy market, fossil fuels still hold the major share. Due to their greater reliability, many countries, for instance the Kingdom of Morocco, still depend heavily on fossil fuels. In fact, conventional energy sources account for more than 80% of the Moroccan...
The study of rare earths, trace elements and major elements makes it possible to distinguish the different entities of a plutonic complex in general. The aim of this work is to apply the supervised classification model based on artificial neural networks Multi-layer Perceptron (ANN-MLP) in a database of 168 granitoid samples of the Aouli pluton (Hi...
Selecting the optimal Additive Manufacturing (AM) process constitutes one of the main difficulties that face the AM domain. Actually, despite the different approaches that have been developed in order to overcome this issue, some limits are still present. It is in this context that a new AM process selection approach is presented. The originality r...
Since the industrialization phase is one of the main phases of the product development cycle, an original hybrid flexible automated system is developed in this paper in order to support production eco-processes designers’ decision making. It is based on three different artificial intelligence tools, namely the fuzzy Ontologies, the cases based reas...
This paper investigates the effect of incorporating Diss fibers on the physical, mechanical, and thermal performance of unfired clay bricks according to the Moroccan testing standards in the building sector. The used clay, extracted from Oulad Azam in the Taounate region in Morocco, was found of type illite with non-swelling characteristics and a d...
In the aim of enhancing unfired clay bricks’ strength, waste materials incorporation gains huge interest among researchers. In this context, various methodologies are extensively used. However, the salt concentration’s effect is poorly known. In this paper, we study, through rheological and physicomechanical investigations the influence of differen...
Due to its cruciality, water requires a high care to its physicochemical and microbiological properties to ensure the quality of several utilizations. The particles it carries are likely to be ingested, breathed, or come into contact with the skin. For the classification of the quality of surface water in the Moulouya River (NE, Morocco), this stud...
This study assesses the potential of waste wood sawdust, as a construction material additive, on the mechanical, thermal and physicochemical properties of compressed earth bricks. Following X-Ray Diffraction and Fluorescence analysis, the used raw clay material, retrieved from Ifrane, Morocco, was found to be of type Illite, with a prominent SiO2 c...
This paper assesses the dynamic thermal inertia performance of unfired clay bricks with dry-grass fiber additives. The used raw material was retrieved from Ifrane in Morocco. The used clay was illite with a 59.60% silicon proportion. Multiple percentages (0%, 1%, 7%, and 15%) were analyzed in this study. The dynamic thermal inertia simulation was c...
With the aim of obtaining construction bricks with improved properties, this paper provides a design of unfired clay bricks based on extracted clay from Oulad Azam village in the region of Taounate in Morocco and fibers additive of saw palmetto (Chamaerops Humilis). The main objective is to study the influence of saw palmetto fibers dosage on the p...
With the aim of innovating in building materials and recycling waste materials, this work studies the feasibility of utilization of almond’s internal and external husks–hull and shell, respectively—as additives in unfired clay bricks. The used materials are provided from local resources of Ifrane, Morocco. Sixteen types of bricks and one control sp...
Dry grass is a widespread residue of agricultural activities in Morocco. This paper investigates the effect of incorporating this organic waste on the Physicochemical and Thermomechanical performance of unfired clay bricks. The used raw clay material used is of illite type, extracted from Bensmim in the Ifrane region. Various grass filler proportio...
Plastic wastes can be recycled and put into good use as construction material additives to improve clay bricks’ thermal, mechanical and physicochemical performances. This paper aims to design a forecasting model to predict brick samples’ properties at different plastic waste (HDPE & PET) additive percentages. This model will enable doing so at a ti...
Engineered unfired clay bricks are an ecological alternative to overcome conventional construction materials’ inconvenience. This work investigates the rheological behavior of organo-silica suspensions, made from almond husk waste and illite clay, in relation to the compressive strength of unfired clay bricks incorporating the same waste. Selected...
Over the last decades, there has been growing pressure on industrial companies to offer to their costumers products with high quality, in the minimum deadlines and with reasonable prices. Since the design phase plays a key role to achieve these difficult goals, many traditional, DFX (Design For X) and integrated approaches have been proposed. Howev...
Surface water is subject to strong anthropogenic pressures caused by the development and extension of agricultural activities and also by industrial and domestic activities. As a result, rational and sustainable management of water resources is necessary in order to protect them. The objective of this work is the use of geographic information syste...
From a management perspective, water quality is determined by the desired end use. Water intended for leisure, drinking water, and the habitat of aquatic organisms requires higher levels of purity. In contrast, the quality standards of water used for hydraulic energy production are much less important. The main objective of this work is focused on...
The original version of the paper was published with wrong author name “Imad Mansouri”. This has now been corrected to “Imad Manssouri”.
Sludge disposal has major drawbacks on the environment when damping wastewater treatment sludge in landfills and estuaries. In addition to financial drawbacks manifested by the poor sludge management due to the lack of valorization regulations or investments’ encouragement. This paper analyzes the mechanical, physicochemical, and thermal properties...
This study establishes a reliable model based on artificial neural networks of the ELM (extreme learning machine) type. The use of this model must reflect the true behavior of the process under its normal operating conditions and enable distinguishing a normal mode from an abnormal one. The installation in this study is a continuous distillation co...
This paper assesses the thermal performance of reinforced Typha-fibers unfired clay bricks. Various Typha additive proportions (0%, 1%, 3%, 7%, 15%, and 20%), by weight in a fibrous form, have been prepared for experimental testing. X-ray diffraction and fluorescence analysis showed that exploited clay is suitable for construction purposes with a p...
Recently, manufacturing companies are required to be more flexible and more reconfigurable in order to follow the continuous market changes and the high competition between trademarks. Actually, reconfiguration of Flexible Manufacturing Systems (FMS) has become one of the most widely used solutions by factories even if it stills hard to be implemen...
The aim of this study is to evaluate the suitability of recycled Typha-fibers waste as a construction material additive to unfired clay bricks. The novel approach of this paper is providing an alternative of damping Typha plants in landfills and waterways, by recycling these waste and putting them into good use as a construction material additive....
This paper assesses the effect of recycled date pits waste additive as a construction material additive to unfired clay bricks, with m Multiple waste additive proportions (0%, 1%, 3%, 7%, 15% and 20%), by weight, in terms of their physicochemical, mechanical and thermal performances. Crystalline characterization of used clay in its raw state, via X...
This study assesses the spatial and temporal physico-chemical quality of the surface waters of Moulouya River based on the global pollution index PI. Several physico-chemical parameters (T°C, pH, electrical conductivity (EC), dissolved Oxygen (DO), BOD 5 , PO 4 3À , NH 4 þ , SO 4 2À and NO 3 À) were monitored on 66 samples collected in 2014 during...
Nowadays, industries face very strong challenges because of the high competitiveness between them. In fact, they are required to offer products with high quality and minimum cost in the minimum time. Since most of the characteristics and costs of the product and its manufacturing process are fixed in the design phase, this paper is focused on this...
The main objective of this study is to investigate the effect of incorporation of wastes plastics additives in the thermal performance of unfired clay bricks. The low adhesion between the clay and polymer molecules, in general, is one of the major challenges faced while blending the two components. In this paper, an innovative brick preparation tec...
The Water Quality Index (WQI) is a numerical expression used to
assess the overall water quality from a large amount of data and to be easily
understood by managers and decision-makers. In this study, the WQI with
nine physicochemical parameters (pH, T °C, CE, O_diss, NH4, NO3, SO4, PO4
and BOD5) was used to evaluate the overall quality of the surf...
Drought is a normal climatic feature, which affects almost all regions. It has become in recent years more intense and frequent, which has a very negative impact on the socioeconomic balance of the countries. Among droughts receiving particular interest are meteorological and hydrological droughts. This paper focuses on the analysis of the characte...
Ce travail se place dans le cadre de la classification non supervisée des différents modes de fonctionnement d'une installation industrielle, en utilisant une méthode hybride couplant la transformée en ondelettes stationnaires (SWT) et les cartes auto-organisatrices de Kohonen (SOM). L'installation objet de cette étude est une installation de recti...
The present work describes a new approach to the detection and diagnosis of functional defects within a nonlinear system highly unstable. The highly unstable nonlinear system is a distillation column of methylcyclohexane from a toluene / methylcyclohexane, which mass composition was defined to 23% in methylcyclohexane. The latter allows the partial...
The Alboran basin is part of the bético Rif chain and represents a point of exchange through the Strait of Gibraltar between the Atlantic Ocean to the west and the Algerian-Balearic Basin to the east. The purpose of this work is placed in the prediction of levels of heavy metals (Zn, Cu and Mn) in the Holocene to current deposits in the eastern par...
Le bassin d’Alboran est inscrit dans la chaîne bético rifaine et représente un point d’échange à travers le détroit de Gibraltar entre l’océan Atlantique à l’ouest et le bassin algéro-baléare à l’est.
L’objectif de ce travail, se place dans le cadre de la prédiction des teneurs en métaux lourds (Zn, Cu et Mn) dans les dépôts holocènes à actuels de...
Neural networks are powerful techniques for non-linear data, which have been proven in many domains. As a result, the artificial neural networks have been applied in various fields including meteorology and climatology. This work is a contribution to the development of methods of weather prediction in general, and humidity rate in particular. In a...
This work, is placed within the framework of Detection by Pattern Recognition(DPR), we describe an approach with the detection of defects applied to a continuousdistillation column which contains a binary mixture of toluene methylcyclohexane.Initially, by using the algorithm K-Nearest-Neighbors (KNN) and secondly, by using theNeural Networks of the...
Faults Detection and Diagnosis (FDD) is a very important stake for industrialprocesses, since faults are often translated by unacceptable losses of productivity.This article describes a new approach which allows detecting and diagnosing faultsin a column of automated continuous distillation, which is a strongly unstable non-linearsystem.It is based...
Recently, Fault Detection and Diagnosis (FDD) have been studied very actively. Estimation methods and pattern recognition techniques are the most common methods used to solve the process faults detection. Artificial Neural Network (ANN) technique has been successfully used in pattern recognition tasks and their suitability for fault detection has a...
Elaboration de modèles mathématiques stochastiques pour la prédiction des teneurs en métaux lourds des eaux superficielles en utilisant les réseaux de neurones artificiels et la régression linéaire multiple Résumé: Le but principal de cette étude étant de construire un modèle statistique neuronal pour la prédiction des teneurs en métaux lourds solu...
The present work describes a new approach to the prediction of the concentrations of heavy
metals in Moroccan river sediments relying on a number of physico-chemical parameters.The
originality of this work lies in the application of neural networks the application of neural networks
MLP type (Multilayer Perceptron). During the first step, the param...
Recently, Fault Detection and Diagnosis (FDD) have been studied very actively. Estimation methods and pattern recognition techniques are the most common methods used to solve the process faults detection. Artificial Neural Network (ANN) technique has been successfully used in pattern recognition tasks and their suitability for fault detection has a...
Several methods of fault detection have been put to testing with
the purpose of securing the installations and reducing the risks of
accidents. This paper presents a new approach of fault detection
based on the realisation of a Bayesian neural separate at radial
basis functions. In this paper, our contribution consists of
demonstrating the way this...