Helmi Attia

Prof. Helmi Attia

National Research Council Canada (NRC), Aerospace Manufacturing Technology Centre/ Department of Mechanical Engineering, McGill University, 817 Sherbrooke Street West Montreal, Monyreal, QC H3A 0C3, Canada
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
12 March 2022 in Sensors
Verified
Journal Article
Open access
PDF file
AMAyman Mohamed
Ayman Mohamed
MHMahmoud Hassan
Mahmoud Hassan
RMRachid M’saoubi
Rachid M’saoubi
Helmi AttiaHelmi Attia
Helmi Attia
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems have gained considerable interest in high-value manufacturing industries to cope with the growing demand for high productivity, standardized part quality, and reduced cost. Tool condition monitoring (TCM) systems pave the way for automated machining through monitoring the state of the cutting tool, including the occurrences of wear, cracks, chipping, and breakage, with the aim of improving the efficiency and economics of the machining process. This article reviews the state-of-the-art TCM system components, namely, means of sensing, data acquisition, signal conditioning and processing, and monitoring models, found in the recent open literature. Special attention is given to analyzing the advantages and limitations of current practices in developing wireless tool-embedded sensor nodes, which enable seamless implementation and Industrial Internet of Things (IIOT) readiness of TCM systems. Additionally, a comprehensive review of the selection of dimensionality reduction techniques is provided due to the lack of clear recommendations and shortcomings of various techniques developed in the literature. Recent attempts for TCM systems’ generalization and enhancement are discussed, along with recommendations for possible future research avenues to improve TCM systems accuracy, reliability, functionality, and integration.

1 May 2015 in Wear
Verified
Journal Article
Closed access
AKAhmed Korashy
Ahmed Korashy
Helmi AttiaHelmi Attia
Helmi Attia
VTVince Thomson
Vince Thomson
SOSaeid Oskooei
Saeid Oskooei


27 September 2010 in Journal of Manufacturing Science and Engineering
Verified
Journal Article
Closed access
PDF file
BSBin Shi
Bin Shi
Helmi AttiaHelmi Attia
Helmi Attia
NTNejah Tounsi
Nejah Tounsi
To achieve high performance machining, modeling of the cutting process is necessary to predict cutting forces, residual stresses, tool wear, and burr formation. A major difficulty in the modeling of the cutting process is the description of the material constitutive law to reflect the severe plastic deformation encountered in the primary and the secondary deformation zones under high strains, strain rates, and temperatures. A critical literature review shows that the available methods to identify the material constitutive equation for the cutting process may lead to significant errors due to their limitations. To overcome these limitations, a novel methodology is developed in this study. Through conceptual considerations and finite element simulations, the characteristics of the stress, strain, strain rate, and temperature fields in the primary shear zone were established. Using this information and applying the principles of the theory of plasticity, heat transfer, and mechanics of the orthogonal metal cutting, a new distributed primary zone deformation model is developed to describe the distributions of the effective stress, effective strain, effective strain rate, and temperature in the primary shear zone. This analytical model is assessed by comparing its predictions with finite element simulation results under a wide range of cutting conditions using different materials. Experimental validation of this model will be presented in Part II of this study.

1 January 2019 in CIRP Annals
Verified
Journal Article
Closed access
ADAhmed Damir
Ahmed Damir
BSBin Shi
Bin Shi
Helmi AttiaHelmi Attia
Helmi Attia

16 May 2008 in Journal of Manufacturing Science and Engineering
Verified
Journal Article
Closed access
PDF file
MMMouhab Meshreki
Mouhab Meshreki
JKJózsef Kövecses
József Kövecses
Helmi AttiaHelmi Attia
Helmi Attia
NTNejah Tounsi
Nejah Tounsi
Milling of thin-walled aerospace structures is a critical process due to the high flexibility of the workpiece. Current practices in the fixture design and the choice of cutting parameters rely solely on conservative guidelines and the designer’s experience. This is a result of the lack of computationally efficient dynamic models to represent the dynamic response of the workpiece during machining, and the interaction between the workpiece, fixture and the cutting forces. This paper presents a novel dynamic formulation of typical thin-walled pockets encountered in aerospace structures. It is based on an analytical description of a five-sided pocket using a plate model. An off-line calibration of the model parameters, using global and local optimization, is performed in order to match the dynamic response of the pocket structure. The developed simplified model is based on Rayleigh’s energy method. Various pocket shapes are examined under different loading conditions and compared to finite element (FE) predictions and experimental results. In both cases, the results obtained by the developed model are in excellent agreement. This proposed approach resulted in one to two orders of magnitude reduction in computational time when compared to FE models, with a prediction error less than 10%.