Publications by Type: Conference Proceedings

2021

Selloum, Rabia, Hacene Ameddah, and Mourad Brioua. 2021. “Computer Aided Inspection by Reverse Engineering for Reproduction of Gear Teeth”. 5th Tunisian Congress on Mechanics COTUME 2020 22 au 24 Mars.

Ameddah, Hacene, Salim Lounansa, and Hammoudi Mazouz. 2021. “Fatigue behavior study of the biodegradabe cardiovascular stent.”. 5th Tunisian Congress on Mechanics COTUME 2020 Hammamet 22 au 24 Mars.

2020

Ameddah, Hacene, Salim Lounansa, and Hammoudi Mazouz. 2020. “Comportement à la fatigue du stent biodégradable : Cas de la diastole et de la systole”. Congres Algérien de Mécanique CAM2019 Ghardaia 23-26 Février.

Selloum, Rabia, Hacene Ameddah, and Mourad Brioua. 2020. “Improvement Inspection Method for Rapid Prototyping of an involute spur gears for an Additive Manufacturing process.”. International Conference on 3D Printing and Additive Manufacturing November 23-24, Webinar, From your imagination to a 3D model.

Selloum, Rabia, Hacene Ameddah, and Mourad Brioua. 2020. “Inspection sur une machine à mesurer tridimensionnelle en vue d’un tolérancement d’un modèle virtuel pour la fabrication additive,”. Congres Algérien de Mécanique CAM2019 Ghardaia 23-26 Février.

Ali-Alkebsi, Ebrahim-Ahmed, Hacene Ameddah, and Toufik Outtas. 2020. “L’utilisation de la fabrication additive en ingénierie tissulaire pour le cas d’une implantation tissulaire dans le défaut osseux de la jambe”. Congres Algérien de Mécanique CAM2019 , 23-26 Février.

Selloum, Rabia, Hacene Ameddah, and Mourad Brioua. 2020. “Non-Destructive Evaluation for an Exactitude Reproduction of Form by Reverse Engineering in an Additive Manufacturing Process.”. ASTM International Conference on Additive Manufacturing ICAM2020, November 16-20, Webinar.

Ameddah, Hacene, and Mourad Brioua. 2020. “Optimal shape reproduction of an intervertebral prosthesis “COFLEX” for additive manufacturing”. 7th International Conference Integrity-Reliability-Failure. J.F. Silva Gomes and S.A. Meguid (editors), INEGI-FEUP (2020), : 487-488.

2019

Bouakkar, Loubna, Hacene Ameddah, and Hammoudi Mazouz. 2019. “Analysis of the shock absorber thickness on the rehabilitation of the fracture of liner on alumina in acetabular cup (Titanium - Alumina) in the total hip prosthesis”. The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019) , April 10-11.

Mebrek, Hamama, Hacene Ameddah, and Salah Mansouri. 2019. “The effect of the cutting conditions parameters on temperature by the Taguchi optimization method”. The 7th International Conference on Advances in Mechanical Engineering and Mechanics ICAMEM 2019 Hammamet - December 16-18,.

Mebrek, Hamama, Hacene Ameddah, and Salah Mansouri. 2019. “The effect of the cutting conditions parameters on the temperature by the Taguchi optimization method”. The 7eme International Conference on Advances in Mechanical Engineering and Mechanics ICAMEM 2019, December 16-18.

Ameddah, Hacene, Farida Bettine, and Hammoudi Mazouz. 2019. “Electromechanical Analysis (MEMS) of a Capacitive Pressure Sensor of a Neuromate Robot Probe”. The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019), April 10-11,.

Ameddah, Hacene, et al. 2019. “Etude Numérique du Comportement des Endoprothèses Cardiovasculaires (Cas de Stent Biodégradable)”. The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019), April 10-11.

Ameddah, Hacene, Salim Lounansa, and Hammoudi Mazouz. 2019. “Finite element analysis of fatigue behavior of the biodegradable stent”. The 7th International Conference on Advances in Mechanical Engineering and Mechanics ICAMEM 2019 Hammamet - 16-18,.

Mezach, Fatima, Hacene Ameddah, and Hammoudi Mazouz. 2019. “Minimisation des contraintes dans les prothèses totales de genou”. The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019) , April 10-11.

Amadji, Moussa, Hacene Ameddah, and Hammoudi Mazouz. 2019. “Numerical Study of the Behavior of Biomimetic Prosthesis “Case of the M6-C Prosthesis with Viscoelastic Core””. The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019), April 10-11,.

Ameddah, Hacene, Ghazali Mebarki, and Hammoudi Mazouz. 2019. “Traitement d’Images Médicales et Détection de Contours d’Images Echographiques pour la Reconstruction 3D”. The First International Conference on Innovation in Biomechanics and Biomaterials (ICIBAB 2019), April 10-11.

Cherifa, Azoui, and Benmohammed Brahim. 2019. “Etude de l’influence de quelques paramètres sur la stabilité du fraisage des parois minces avec tracé des lobes de stabilité”. The international conference on innovative materials, manufacturing, and advanced technologies (IMMAT’2019), Monastir 17-19 Octobre 2019, Tunisie. Publisher's Version

Abderraouf, Benali, and Benmohammed Brahim. 2019. “Numerical simulation of chip formation in case of orthogonal machining process”. The international conference on innovative materials, manufacturing, and advanced technologies (IMMAT’2019), Monastir 17-19 Octobre, Tunisie. Publisher's Version

2018

Ameddah, Hacene, and Hammoudi Mazouz. 2018. “BIOMEDICAL RAPID PROTOTYPING OF FREE-FORM SURFACES BY PLANAR CONTOURS METHOD”. 6th International Conference Integrity-Reliability-Failure , 22-26 July. Publisher's Version Abstract

In this paper, an interactive application tool has been developed for creating 3D models of dental implants and other body structures from 2D medical imaging data. 3D models are generated by using reverse engineering algorithm and planar contour method by SolidWorks developed in Visual Basic Language. The research includes transferring Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) images into digital matrixes, entering digital matrixes into SolidWorks environment, building feature library for 3D reconstruction, creating medical rapid prototyping models, and performing biomedical rapid design and manufacturing. 3D reconstruction models is created by edge configuration, generation and triangulated cube configuration generation in capturing section contour points from medical image per slice, creating B-spline curve with the control points in each layer, producing solid model construction in planar contours method. Medical rapid prototyping models are performed in SolidWorks, including three views or any combination of views, for biomedical rapid designing and manufacturing according to the biomedical needs. Layered manufacturing techniques are used for producing parts of arbitrary complexity. The results of this paper are to develop image processing 3D visualization in SolidWorks Application Programming Interface (API) using Visual Basic Language. The system performance is tested using truth CT and or MRI data, and 3D physical models dental for MRP are created directly from SolidWorks. The results reveal that the accuracy of 3D reconstruction is acceptable.

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Recent Publications

Stability lobes prediction in high speed milling , ISSN 2067–3604

Cherifa, Azoui, and Benmohammed Brahim. 2018. “Stability lobes prediction in high speed milling , ISSN 2067–3604”. International Journal of Modern Manufacturing Technologies Vol. X (N°1) : pp 37-42. Publisher's Version Abstract

Different techniques are used to obtain approximate solutions for delayed functional differential equations (RFDEs). All these models used the so-called stability lobe diagrams, to choose the maximum axial depth of cut for a given spindle speed associated with a free chatter in machining. In this research paper, the ZOA (Zeroth Order Approximation) and SD (Semi Discretization) methods are explained, developed and used to obtain the stability lobe diagrams for a milling cutting system with two degree of freedom, in high speed machining case.

A NEURAL NETWORK APPROACH FOR PREDICTING KINEMATIC ERRORS SOLUTIONS FOR TROCHOIDAL MACHINING

Bettine, Farida, Hacene Ameddah, and Rabah Manaa. 2018. “A NEURAL NETWORK APPROACH FOR PREDICTING KINEMATIC ERRORS SOLUTIONS FOR TROCHOIDAL MACHINING”. International Journal of Modern Manufacturing Technologies x (1). Publisher's Version Abstract

The prediction of machining accuracy of a fiveaxis machine tool is a vital process in precision manufacturing for machining a hard and free form surfaces. This work presents a novel approach for predicting kinematic errors solutions in five-axis machine for trochoidal milling strategy. This approach is based on Artificial Neural Network (ANN) for trochoidal milling machining strategy. We proposed a multi-layer perceptron (MLP) model to find the inverse kinematics solution for a five-axis machine. The data sets for the neural-network model are obtained using kinematics software. The solution of each neural network is estimated using inverse kinematics equation of the machine tool to select the best one. As a result, the Neural Network implementation improves the performance of the learning process. For this, numerical study of trochoidal strategy and experimental results are presented with aims to full milling and to ensure a control of radial engagement. The experimental result shows the efficiency of the method by obtainning the toolpath and the machining possebility of this new type of strategy emerging.

A neural network approach for predicting kinematic errors solutions for trochoidal machining in the matsuura MX-330 Five-axis Machine

Bettine, Farida, Hacene Ameddah, and Rabah Manaa. 2018. “A neural network approach for predicting kinematic errors solutions for trochoidal machining in the matsuura MX-330 Five-axis Machine”. FME Transactions 46 (4) : 453-462. Publisher's Version Abstract

The prediction of machining accuracy of a Five-axis Machine tool is a vital process in precision manufacturing. This work presents a novel approach for predicting kinematic errors solutions in five axis Machine. This approach is based on Artificial Neural Network (ANN) for trochoidal milling machining strategy. We proposed a multi-layer perceptron (MLP) model to find the inverse kinematics solution for a Five-axis Machine Matsuura MX-330. The data sets for the neural-network model is obtained using Matsuura MX-330 kinematics software. The solution of each neural network is estimated using inverse kinematics equation of the Machine tool to select the best one. As a result, the Neural Network implementation improves the performance of the learning process. In this work trochoidal trajectory generation formulation has been developed and simulated using the software Matlab Inc. The main advantage of the trochoidal path is to present a continuous path radius leading the machining process to take place under favorable conditions (no impact, less marking of the part, ...). Obtaining the toolpath is to allow programming of the toolpath according to ISO 6983 (which defines the principles of the G code). For this, numerical study of trochoidal strategy and experimental result are presented with aims to full milling and to ensure a control of radial engagement.

Impeller Tool Paths Programming for Rough Machining in an Intelligent NURBS Step- Nc Format

Ameddah, Hacene. 2016. “Impeller Tool Paths Programming for Rough Machining in an Intelligent NURBS Step- Nc Format”. International Journal of Current Engineering and Technology 6 (1). Publisher's Version Abstract

The research work reported in this paper focuses on introduces a fully STEP-compliant CNC by putting forward an interpolation algorithm for Non Uniform Rational Basic spline (NURBS) curve system for rough milling tool paths with an aim to solve the problems faced by the current CNC systems. The most important components used in aerospace, ships, and automobiles are designed with free form surfaces. An impeller is one of the most important components that are difficult to machine because of its twisted blades. The research is based on the premise that a STEP-NC program can document ǲgenericǳ manufacturing information for an impeller. This way, a STEP-NC program can be made machine-independent and has an advantage over the conventional G-code based NC program that is always generated for a specific CNC machine. Rough machining is recognized as the most crucial procedure influencing machining efficiency and is critical for the finishing process. A key feature of the system is the use of STEPNC data model (ISO 14649-10: 2003; ISO 10303-238, 238: 2003), which enables more design information (e.g. geometry, workpiece information and tolerances) to be incorporated both prior to and during machining processes. The relevant algorithm for the curve was simulated in CAM software. The results have shown that the algorithm for rough milling is feasible and effective.

Impeller Tool Paths Programming for Rough Machining in an Intelligent NURBS Step- Nc Format

Laboratoire de Recherche en Productique

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Recent Publications