Noureddine Ben Yahia

ENSIT · MECHANICAL

Artificial neural networks (ANNs) and adaptive neuro-fuzzy inference systems (ANFISs) are machine learning techniques that enable modeling and prediction of various properties in the milling process of alloy 2017A, including quality, cost, and energy consumption (QCE). To utilize ANNs or ANFIS for QCE prediction, researchers must gather a dataset c...

Optimizing car suspension systems remains a key challenge in the search for safer and more comfortable driving. This paper explores an innovative approach using artificial intelligence and reinforcement learning to design and evaluate an active suspension model. Mathematical modeling of vehicle dynamics is integrated into a reward-based control str...

p>La démarche d’investigation est une approche qui affirme de plus en plus son potentiel en enseignement. En effet, elle permet aux élèves de développer des compétences, des attitudes et des intérêts, nécessaires pour vivre dans une société de plus en plus dépendante des applications des sciences. En vue de garantir la réussite de l’application des...

We are pleased to inform you that your paper has been accepted to be presented in the third conference on Advances In Additive Manufacturing (AIAM 2024), which will be held during the period of May 17-19, 2024 in Hammamet-Tunisia. On behalf of the Scientific Committee, we would like to thank you for your submission and we invite you to attend the c...

Over the last decade, a number of research projects have been carried out to exploit artificial intelligence (AI) methods in modelling and managing maintenance. In the context of Industry 4.0 in 3D printers enables the use of AI methods, techniques and tools to predict potential failures and take maintenance actions in advance, in a timely and ap...

The automotive industry focuses on developing advanced protection and stability control systems, particularly for suspension and steering, to enhance vehicle comfort, luxury, and safety. This research presents an intelligent controller for all-terrain vehicle (ATV) suspension systems based on Artificial Neural Network (ANN) technology. The controll...

This research aims to predict the cost and energy consumption associated with pocket and groove machining using the hybrid particle swarm optimization-artificial neurons network (PSO-ANN) algorithm and the response surface method (RSM). A parametric study was conducted to determine the best predictions by adjusting the swarm population size (pop) a...

The use of simple machining features to determine cutting parameters and the machining process is limited, as parts may contain complex features interacting with each other. This study, therefore, focuses on pocket/groove features and proposes an approach integrating hybrid GA-ANN and RSM algorithms to predict surface quality, cost, and energy cons...

Recently, there has been a frequent utilization of metaheuristic algorithms inspired by natural phenomena to address optimization problems. Given the unique characteristics of each problem, the distinctive structures of individual algorithms become a critical consideration. Consequently, the selection of algorithms tailored to specific problems eme...

The estimation and improvement of the strength of 304L stainless steel spot welds were quantitatively analyzed using a hybrid method. This method combines the PSO-ANN algorithm and the genetic algorithm. This article aimed to study the effect of vibration and welding parameters on spot welding resistance. P value tests and PC% contributions were pe...

Population growth and economic development are leading to an alarming increase in global energy consumption. Numerically controlled machine tools are widely used in metalworking processes due to their efficiency and ability to achieve high-precision machining. However, the use of simple machining features to determine cutting parameters and the mac...

The technology known as additive manufacturing, or 3D printing, has swiftly emerged as a revolutionary force that could transform the process of product design and manufacturing. This convergence of the physical and digital worlds has given rise to human-cyber-physical systems (HCPS) within additive manufacturing. HCPS involves seamless collaborati...

Automotive manufacturing is experiencing great development in many areas by developing many systems such as protection and stability control. Elec-tronic control of the suspension and steering system has become one of the most important techniques for simultaneously improving comfort, luxury and protec-tion. The suspension system is considered to b...

Population growth and economic development, particularly in developing market nations, are driving up global energy consumption at an alarming rate. Despite increased wealth, growing demand presents new obstacles. Computer Numerical Control (CNC) machine tools are widely used in most metal machining processes due to their efficiency and repeatabili...

An alarming pace of increase in worldwide energy consumption is being caused by population expansion and economic development, particularly in emerging market countries. Due to their efficiency and reproducibility in accomplishing high-precision machining, CNC machine tools are widely employed in most metal machining processes. The use of simple ma...

The world's population growth has led to increased demand for products, which requires enormous energy consumption. Therefore, energy savings are becoming a primary objective for industrial sectors. This study uses artificial intelligence, specifically response surface methodology (RSM), artificial neural networks (ANN) and genetic algorithms (GA),...

Numerically controlled machine tools are commonly used in metalworking processes due to their precision and reproducibility. However, finding the appropriate cutting parameters and machining process using simple machining features is limited, as parts may have complex interacting machining features. This study contributes to solving this problem by...

Active suspension provides better vehicle control and safety on the road with optimal driving comfort compared to passive suspension. Achieving this requires a good control system that can adapt to any environment. This article uses a deep reinforcement learning method to develop an optimal neural network that meets the comfort requirements accordi...

In this paper, we discuss the motivation to create a novel active suspension control method for trucks and Heavy Goods Vehicle (HGV) based on intelligent control using hybrid Artificial Neural Network Particles Swarm Optimization (ANN-PSO). There are three types of suspension systems: passive, semi-active and active. Ride comfort, suspension travel...

Additive manufacturing, also known as 3D printing, has rapidly emerged as a game-changing technology with the potential to revolutionize the way we design and manufacture products. The convergence of the physical world with the digital realm has led to the development of human-cyber-physical systems (HCPS) in additive manufacturing, where humans, m...

AIAM-459969 has been accepted for an oral presentation at the AIAM'2023 conference, which will be held at Le Paradis Palace Hotel in Hammamet, Tunisia from May 18th to 20th, 2023.

The automotive manufacturing industry is making significant advancements, particularly in protection and stability control systems. A crucial technology in improving the vehicle's comfort, luxury, and protection is the electronic control of the suspension and steering system. The suspension system, especially for all-terrain vehicles (ATV), is an e...

As part of our study, which is a continuation of the research carried out by Dr. Anis HAMZA, Intelligent Neural Network Control for Active Heavy Truck Suspension. Chapter of the book Advances in Mechanics and Mechanics. This working model is an intelligent, active suspension system with RNN (Recurrent Neural Network), which seeks the stability of h...

Thank you for your submission to the ICMAME 2023 conference. We are pleased to inform you that your paper entitled "ID-389: All-terrain Vehicle active suspension with ANN Intelligent Controller" has been accepted as a full paper for oral/poster presentation by the conference committee of International Conference on Mechanical, Automotive and Mechat...

ACCEPTANCE LETTER Manuscript references: 48 Title: Intelligent diagnostic study using Machine Learning of mechanical faults in rotating machinery

ACCEPTANCE LETTER Manuscript references: ID 9 Title: Design of Active Suspension for All-terrain Vehicle (ATV) with Intelligent Control Using Artificial Neural Networks (ANN) Author(s): Anis HAMZA Issam DRIDI Kamel BOUSNINA Noureddine BEN YAHIA

The level of vibration to which a patient is subjected in an ambulance is often too high. Ambulance personnel should take steps to reduce these vibrations. To avoid slowdowns and other barriers that create high vibration peaks, the speed is reduced or the ambulance deviates from the quicker or shorter path. This work implements Artificial Neural Ne...

ID69 Letter of acceptance Heavy Trucks with Intelligent Control Using Extended Adaptive Neuro-Fuzzy Inference System (EANFIS)

JSTMM 2022 Letter of Acceptance An approach that incorporates artificial intelligence to prove the impact of machining processes and cutting parameters on energy consumption, cost, and surface quality KAMEL BOUSNINA, ANIS HAMZA and NOUREDDINE BEN YAHIA

LETTER OF ACCEPTANCE The Fourth International Conference on Acoustics and Vibration December 19 - 21 , 2022 Sousse – Tunisia paper submitted to ICAV’2022 under the ID54 and entitled: Heavy Trucks with Intelligent Control Using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization (ANN-PSO) by : Anis Hamza, Issam Dridi, Kamel Bousn...

With increased production and productivity in modern industry, particularly in the automotive, aeronautical, agro-food, and other sectors, the consumption of manufacturing energy is rapidly increasing, posing additional precautions and large investments to industries to reduce energy consumption at the manufacturing system level. This research prop...

Increasing the quality of a machined product and minimizing energy consumption is a primary objective for all industries, given their significant impact on manufacturing costs and the environment. The choice of the machining process and the optimal cutting parameters to meet this requirement is the objective of this experimental study, which deals...

Marble is a fragile and heterogeneous material whose properties vary depending on the nature and origin of the marble. Therefore, the marble machining process requires the skills and know-how of the stone cutter to manually configure the machining parameters for each piece of marble. This study addresses the enhancement of quality achieved by marbl...

Industries require, nowadays, to be more adaptable to unforeseen real-time events as well as to the rapid evolution of their market (e.g. multiplication of customers, increasingly personalized and unpredictable demand, etc.). To meet these challenges, manufacturers need new solutions to update their production plan when a change in the production s...

The level of vibration to which a patient is subjected in an ambulance is often too high. Ambulance personnel should take steps to reduce these vibrations. To avoid slowdowns and other barriers that create high vibration peaks, the ambulance's speed is reduced or the ambulance deviates from the quicker or shorter path. This work implements Artifici...

Driving safety and vehicle comfort are the most interesting topics for researchers among many researches in the field of vehicle dynamics. The active control of a suspension is meant to produce an isolated behavior of the system spring-mass (for example, increased comfort, performance, etc.). In this article, a method of actively controlling vehicl...

Driving safety and vehicle comfort are the most interesting topics for researchers among many researches in the field of vehicle dynamics. The active control of a suspension is meant to produce an isolated behavior of the system spring-mass (for example, increased comfort, performance, etc.). In this article, a method of actively controlling vehicl...

Our work is a continuation of research carried out by Dr Anis HAMZA, Intelligent Neural Network Control for Active Heavy Truck Suspension. Chapter in book-Advances in Mechanical Engineering and Mechanics. We are in the process of carrying out a study of an intelligent active suspension system with ANN (Artificial Neural Network), which seeks the st...

We will discuss why we are interested in developing a brand new active suspension control approach for trucks that is supported by Deep Learning in this article. The mechanical suspension can be classified as passive, semi-active, or active. The desired output of active suspension control is dependent on the following factors: ride comfort, suspens...

Driving safety and vehicle comfort are the most interesting topics for researchers in the field of vehicle dynamics. The active control of a suspension is meant to produce an isolated behavior of the system spring-mass. In this article, a methοd οf actively cοntrοlling truck vehicle vibratiοns caused by excitatiοn due tο different types οf rοad prο...

The satisfaction of an increasingly personalized and unpredictable demand that certain companies are experiencing demand flexible production systems. The large number and complexity of the parameters to be taken into account most often require a scheduling support system to meet delivery times and optimize the use of resources. We present the indus...

The Calacatta-Carrara marble is widely used due to its excellent physico-chemical characteristics and attractive aspect. However, the sensitivity of this materiel, when performing delicate manufacturing operations, presents for the engineers a hard challenge to overcome. This issue is mainly encountered with complex shapes of parts, for which it is...

The active control of a suspension system is meant to provide an isolated behavior of the system spring-mass (for example, increased comfort and performance). During this article, we are going to explain the importance of developing an intelligent control approach for active truck suspensions based on the artificial neural network. From where the m...

Aeronautics is certainly one of the most demanding industries of the world on a technical level. With materials that are increasingly difficult to machine, drastic specifications and ever tighter deadlines, the manufacture of aeronautical parts must exceed many limits while the production rate is constantly increasing. This paper aims to provide co...

Dans cet article, nous expliquerons l'intérêt de développer une nouvelle approche de contrôle actif des suspensions pour les poids-lourds basée sur des réseaux neuronaux artificiels ANN. Dans le contrôle actif du système de suspension, les performances requises sont basées sur les éléments suivants: le confort de conduite, les courses de suspension...

In this paper, we will explain the interest of developing a new active suspension control approach for trucks based on Deep Learning. The suspension system can be categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance is based on the following: Ride comfort, Suspension trave...

Human resource skills have a significant impact on the production systems performance and competitiveness of companies. In fact, many companies are aware of the human potential in their development, to improve their overall performance and to cope with global economic and technological changes. Hence the need for any company to assess its staff pot...

This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric accuracy is one of the most crucial measures of part quality. Accordingly, roundness and positioning deviation are two indicators for measuring geometric accuracy and presenting two output v...

Single Point Incremental Forming (SPIF) is a process of progressive deformation for sheet metal, which is obtained by plastic deformation of thin sheets and low volume production applications. This paper focuses on the development of interaction of features manufacturing using three-axis CNC machine. The integration of the CAD/CAM system is a power...

High quality marble processing is increasingly needed to ensure surface integrity and meet tight geometric and dimensional tolerances encountered in structural, sculpture and decorative industry. The paper aims at determining optimal drilling parameters for white marble in order to minimize the quality characteristic, namely, the circularity and th...

In this paper, we will explain the interest of developing a new active suspension control approach for trucks HGVs based on Artificial Neural Network ANNs. The suspension system categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance based on the following: Ride comfort, Susp...

Highly accurate marble processing is increasingly needed to comply with tight parametric/geometric tolerances and surface integrity specifications encountered while structuring, sculpture, and decorating. In this study, a new approach based on the artificial neural network technique is evaluated for the prediction of process parameters in the machi...

The point-based approach consists of committing a set of requirements and a single design solution from the design space. This approach is time-consuming and often leads to deadline excess when developing a new complex system such as mechatronic systems. In fact, this approach could generate iterative loops between engineers in the downstream desig...

In this paper, we will explain the interest of developing a new active suspension control approach for trucks HGVs based on Artificial Neural Network ANNs. The suspension system can be categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance is based on the following: Ride com...

In this paper, we will explain the interest of developing a new active suspension control approach for trucks HGVs based on Artificial Neural Network ANNs. The suspension system can be categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance is based on the following: Ride com...

In this paper, we will explain the interest of developing a new active suspension control approach for trucks HGVs based on artificial intelligence ANNs. The suspension system can be categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance is based on the following: Ride comfo...

In this paper, we will explain the interest of developing a new active suspension control approach for trucks HGVs based on Artificial Neural Network ANNs. The suspension system can be categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance is based on the following: Ride com...

This work describes the application of fuzzy logic to the design of drilling housing multi-spindle using Matlab. Using a conceptual analysis and using design rules for choosing the optimal solution, this method is to select the optimal design solution. That's why we try to use discrete variables to define the input and output parameters

Le soudage est l'un des principaux processus de fabrication technologiques de la coque des structures. La qualité des joints soudés a un impact direct sur la fiabilité de la structure et sur les caractéristiques mécaniques des matériaux soudés. En d'autres termes, les défauts de soudage influent directement sur la résistance des joints soudés. Ce p...

Le formage incrémental est une nouvelle technologie considérée comme un procédé prometteur pour la production de pièces métalliques à l’aide d’un outil de forme simple piloté par une machine-outil à Commandes Numériques (MOCN), ou des machines spécifiques tels que AMINO [1], Allwood [2], ect… Dans le domaine de formage incrémental de tôle mince, la...

Dans ce papier, nous avons utilisé trente cas différentes les plus prépondérants dans le domaine de soudage, sont traités avec dix procédés de soudage de différente classe. En effet, à partir des paramètres des entités de préparation de soudage, on a élaboré à l’aide du savoir-faire des experts en soudage une base des cas.

This work presents the application of networks of neurons to the proposed design of a transmission comprising a gear train assembly helical teeth. The proposed design provides some of the advantages and flexibility of a robust design which consists in designing a drilling of multi-spindle box. but using standard components available in a simple mec...

Actuellement, un grand nombre de changements ont touché le domaine de la production Mécanique. Les usines de production cherchent à s’ajuster aux marchés changeants et imprévisibles avec une flexibilité et réactivité accrue. Pour faire face à ces défis, nous avons eu l’idée de développer un système d’aide à la décision capable de choisir les straté...

Advances in CNC technology, coupled with improvements in computer systems provided the basis to review how computer-based systems can be used to allow universal fabrication. The G code no longer meets the current expectations of the program ever modern and complex machines. Indeed, the standard STEP-NC (STEP-Numerical Control) offers new solutions...

Les progrès de la technologie CNC, couplés avec les améliorations dans des systèmes informatiques, ont fourni la base de réexaminer la manière dont les systèmes assistés par ordinateur peuvent être utilisés pour permettre la fabrication universelle. Le code G ne satisfait plus les attentes actuelles de la programmation de machines toujours plus dév...

L'emboutissage est un procédé de fabrication le plus répondu dans les sociétés de travaux de tôles en feuilles. Dans cette communication, on traite l'optimisation de choix des processus d'emboutissage cylindrique, par l'intégration d'un sys-tème CFAO. Le système de simulation est développé par le langage Visuel Basic (VB) sous le logiciel CATIA. Ce...

The objective of this study is to propose an analytical methodology scheduling of machining operations, feature-based machining according to norm STEP AP-224, responding to the conflicting constraints of prior machining. This allows us to determine the scheduling solutions machining sequences by optimal machining means that respect the rules machin...

Nous proposons dans ce papier, un processus automatique de création des entités d’usinage, qui sont utilisées pour traduire les informations de conception en données de fabrication. Au début, nous avons commencé de présenter les caractéristiques des entités d’usinage, ainsi que leurs manipulations au cours de la conception des systèmes de CFAO / CA...