Currently, virtual manufacturing and simulation predictions are crucial in the design and development of engineering parts. However, its reliability largely depends on the adopted constitutive model and accuracy of the governing material parameters. A complex and robust phenomenological constitutive model requires the calibration of many parameters. This is a very time-consuming task, particularly when using classical procedures, which involves many homogeneous mechanical experiments and high costs.
Recommendation engine and uncertainty techniques for the efficient calibratio...Vform Xsteels
Nowadays, digitalisation and virtualisation are the keys for companies’ success and competitiveness. Thus, numerical simulation tools are essential for engineering analysis and development. The success of a simulated material behaviour prediction depends on the chosen complex constitutive model and the correctness of its parameter identification. These days, it is used several classical mechanical tests to identify the model’s parameters.
Design of novel heterogeneous thermomechanical tests using topology-based opt...Vform Xsteels
Nowadays, the development and design of new mechanical parts are performed using virtual manufacturing tools. For this purpose, numerical simulation software uses complex material constitutive models to reproduce real material behavior. However, the reliability of the simulation’s results is conditioned by the accuracy of the input data. The calibration of material models depends on a proper material characterization, which turns to be expensive due to the required large number of mechanical tests.
Identification of orthotropic elastic properties of wood by a synthetic image...Vform Xsteels
This work aims to identify orthotropic linear elastic constitutive parameters of Pinus pinaster Ait. wood through the Finite Element Model Updating (FEMU) methodology. The approach is validated using both FE and synthetic image data. In the latter, digital image correlation is carried out on synthetic images deformed according to a 2D FE model. A systematic comparison is carried out. The identifiability for the four orthotropic material parameters on the radial-tangential (RT) plane is discussed regarding robustness and relative errors.
Recommendation engine and uncertainty techniques for the efficient calibratio...Vform Xsteels
Nowadays, digitalisation and virtualisation are the keys for companies’ success and competitiveness. Thus, numerical simulation tools are essential for engineering analysis and development. The success of a simulated material behaviour prediction depends on the chosen complex constitutive model and the correctness of its parameter identification. These days, it is used several classical mechanical tests to identify the model’s parameters.
Design of novel heterogeneous thermomechanical tests using topology-based opt...Vform Xsteels
Nowadays, the development and design of new mechanical parts are performed using virtual manufacturing tools. For this purpose, numerical simulation software uses complex material constitutive models to reproduce real material behavior. However, the reliability of the simulation’s results is conditioned by the accuracy of the input data. The calibration of material models depends on a proper material characterization, which turns to be expensive due to the required large number of mechanical tests.
Identification of orthotropic elastic properties of wood by a synthetic image...Vform Xsteels
This work aims to identify orthotropic linear elastic constitutive parameters of Pinus pinaster Ait. wood through the Finite Element Model Updating (FEMU) methodology. The approach is validated using both FE and synthetic image data. In the latter, digital image correlation is carried out on synthetic images deformed according to a 2D FE model. A systematic comparison is carried out. The identifiability for the four orthotropic material parameters on the radial-tangential (RT) plane is discussed regarding robustness and relative errors.
Prediction of surface roughness in high speed machining a comparisoneSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Knowledge acquisition of existing buildings by means of diagnostic surveying....DCEE2017
Giovanna Concu.
The issue of assessing the structural adequacy of existing buildings involves several problems when a unique and reliable strategy of modelling and analyzing is looked for. This is mainly related to the peculiarity of each construction in a context of broad variety. In this light the structural model and consequently the judgment on structural adequacy should be derived from a process of knowledge of the construction carried through steps of different reliability. This paper focuses on a fundamental step of the knowledge acquisition process, which is the surveying campaign aimed at assessing some of the parameter to be implemented into the structural model (geometry, detailing and properties of the materials). The main aspects of a proper and effective planning of the diagnostic campaign are issued and discussed also with reference to some case studies. Special emphasis is given to the usefulness of non-destructive testing methods, the criteria underlying their selection and the relevance of their calibration.
Experimental Investigation and Parametric Analysis of Surface Roughness in C...IJMER
The manufacturing industries are very much concerned about the quality of their products.
They are focused on producing high quality products in time at minimum cost. Surface finish is one of the
crucial performance parameters that have to be controlled within suitable limits for a particular process.
Surface roughness of machined components has received serious attention of Researchers for many years.
It has been an important design feature and quality measure in machining process. There are a large
number of parameters which affect the surface roughness. These include cutting tool variables, work
piece material variables, cutting conditions etc. Therefore, prediction or monitoring of the surface
roughness of machined components has been challenging and unexplored area of research
The present work is therefore in a direction to integrate effect of various parameters which effect the
surface roughness. Experiments were carried out with the help of factorial method of design of
experiment (DOE) approach to study the impact of turning parameters on the roughness of turned
surfaces. A mathematical model was formulated to predict the effect of machining parameters on surface
roughness of a machined work piece. Model was validated with the experimental data and the reported
data of other researchers. Further parametric investigations were carried out to predict the effect of
various parameters on the surface research
Prediction of output Responses in Milling of Casted Aluminum by using ANNijiert bestjournal
The important goal in the modern industries is to m anufacture the products with lower cost and with hi gh quality in short span of time. There are two main p ractical problems that engineers face in a manufacturing process. The first is to determine th e values of process parameters that will yield the desired product quality (meet technical specificati ons) and the second is to maximize manufacturing system performance using the available resources. T he increase of customer needs for quality products (more precise tolerances and better product surface roughness) have driven the metal cutting process. The main objective of this project work is to study the effect of surface roughness and Material Removal R ate in a machining of cast aluminum on CNC milling mach ine with High Speed Steel cutting tool. The feasibility of implementation of design of experime nts (DOE),and Artificial Neural network in milling process is analyzed.
Parameter Identification of Swift law using a FEMU-based approach and an inno...vformxsteels
ESAFORM 2022
M. Conde1, J. Henriques1,
S. Coppieters2, A. Andrade-Campos1
1 TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
2 Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
Parameter Identification of Swift law using a FEMU-based approach and an inno...vformxsteels
ESAFORM 2022
M. Conde1, J. Henriques1,
S. Coppieters2, A. Andrade-Campos1
1 TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
2 Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
On the topology design of an innovative heterogeneous mechanical test for mat...vformxsteels
RS 2022
On the topology design of an innovative
heterogeneous mechanical test for material
mechanical characterization
Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro,
Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
Mafalda Gonçalves, Sandrine Thuillier, António Andrade-Campos
Doctoral Program in Mechanical Engineering
On the topology design of an innovative heterogeneous mechanical test for mat...vformxsteels
RS2022
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Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro,
Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
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1
On the design of a heterogeneous mechanical test using a nonlinear topology o...vformxsteels
ESAFORM 2022
M. Gonçalves, A. Andrade-Campos and S. Thuillier
25th International Conference on Material Forming
27-29th April 2022
Braga, Portugal
Centre for Mechanical Tecnology and Automation, Department of Mechanical Engineering, University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
On the design of a heterogeneous mechanical test using a nonlinear topology o...vformxsteels
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25th International Conference on Material Forming
27-29th April 2022
Braga, Portugal
Centre for Mechanical Tecnology and Automation, Department of Mechanical Engineering, University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
On the comparison of heterogeneous mechanical tests for sheet metal character...vformxsteels
IDDRG 2022
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Centre for Mechanical Technology and Automation (TEMA),
Department of Mechanical Engineering
University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL
F-56100 Lorient, France
1
On the topology design of a mechanical heterogeneous specimen using geometric...vformxsteels
IDDRG 2022
M. Gonçalves, S. Thuillier, A. Andrade-Campos
Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering,
University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
41st International Deep Drawing Research Group Conference, 6 - 10 June 2022, Lorient, France
Uncertainty quantification of inversely identified plastic material behavior ...vformxsteels
M Conde, S Coppieters, A Andrade-Campos
TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
Uncertainty quantification of inversely identified plastic material behavior ...vformxsteels
IDDRG 2022
M Conde1,*, S Coppieters2, A Andrade-Campos1
* marianaconde@ua.pt
1 TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
2 Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
Prediction of surface roughness in high speed machining a comparisoneSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Knowledge acquisition of existing buildings by means of diagnostic surveying....DCEE2017
Giovanna Concu.
The issue of assessing the structural adequacy of existing buildings involves several problems when a unique and reliable strategy of modelling and analyzing is looked for. This is mainly related to the peculiarity of each construction in a context of broad variety. In this light the structural model and consequently the judgment on structural adequacy should be derived from a process of knowledge of the construction carried through steps of different reliability. This paper focuses on a fundamental step of the knowledge acquisition process, which is the surveying campaign aimed at assessing some of the parameter to be implemented into the structural model (geometry, detailing and properties of the materials). The main aspects of a proper and effective planning of the diagnostic campaign are issued and discussed also with reference to some case studies. Special emphasis is given to the usefulness of non-destructive testing methods, the criteria underlying their selection and the relevance of their calibration.
Experimental Investigation and Parametric Analysis of Surface Roughness in C...IJMER
The manufacturing industries are very much concerned about the quality of their products.
They are focused on producing high quality products in time at minimum cost. Surface finish is one of the
crucial performance parameters that have to be controlled within suitable limits for a particular process.
Surface roughness of machined components has received serious attention of Researchers for many years.
It has been an important design feature and quality measure in machining process. There are a large
number of parameters which affect the surface roughness. These include cutting tool variables, work
piece material variables, cutting conditions etc. Therefore, prediction or monitoring of the surface
roughness of machined components has been challenging and unexplored area of research
The present work is therefore in a direction to integrate effect of various parameters which effect the
surface roughness. Experiments were carried out with the help of factorial method of design of
experiment (DOE) approach to study the impact of turning parameters on the roughness of turned
surfaces. A mathematical model was formulated to predict the effect of machining parameters on surface
roughness of a machined work piece. Model was validated with the experimental data and the reported
data of other researchers. Further parametric investigations were carried out to predict the effect of
various parameters on the surface research
Prediction of output Responses in Milling of Casted Aluminum by using ANNijiert bestjournal
The important goal in the modern industries is to m anufacture the products with lower cost and with hi gh quality in short span of time. There are two main p ractical problems that engineers face in a manufacturing process. The first is to determine th e values of process parameters that will yield the desired product quality (meet technical specificati ons) and the second is to maximize manufacturing system performance using the available resources. T he increase of customer needs for quality products (more precise tolerances and better product surface roughness) have driven the metal cutting process. The main objective of this project work is to study the effect of surface roughness and Material Removal R ate in a machining of cast aluminum on CNC milling mach ine with High Speed Steel cutting tool. The feasibility of implementation of design of experime nts (DOE),and Artificial Neural network in milling process is analyzed.
Parameter Identification of Swift law using a FEMU-based approach and an inno...vformxsteels
ESAFORM 2022
M. Conde1, J. Henriques1,
S. Coppieters2, A. Andrade-Campos1
1 TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
2 Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
Parameter Identification of Swift law using a FEMU-based approach and an inno...vformxsteels
ESAFORM 2022
M. Conde1, J. Henriques1,
S. Coppieters2, A. Andrade-Campos1
1 TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
2 Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
On the topology design of an innovative heterogeneous mechanical test for mat...vformxsteels
RS 2022
On the topology design of an innovative
heterogeneous mechanical test for material
mechanical characterization
Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro,
Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
Mafalda Gonçalves, Sandrine Thuillier, António Andrade-Campos
Doctoral Program in Mechanical Engineering
On the topology design of an innovative heterogeneous mechanical test for mat...vformxsteels
RS2022
Mafalda Gonçalves, Sandrine Thuillier, António Andrade-Campos
Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro,
Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
Mafalda Gonçalves, Sandrine Thuillier, António Andrade-Campos
1
On the design of a heterogeneous mechanical test using a nonlinear topology o...vformxsteels
ESAFORM 2022
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25th International Conference on Material Forming
27-29th April 2022
Braga, Portugal
Centre for Mechanical Tecnology and Automation, Department of Mechanical Engineering, University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
On the design of a heterogeneous mechanical test using a nonlinear topology o...vformxsteels
ESAFORM 2022
M. Gonçalves, A. Andrade-Campos and S. Thuillier
25th International Conference on Material Forming
27-29th April 2022
Braga, Portugal
Centre for Mechanical Tecnology and Automation, Department of Mechanical Engineering, University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
On the comparison of heterogeneous mechanical tests for sheet metal character...vformxsteels
IDDRG 2022
M. Gonçalves, M.G. Oliveira, S. Thuillier, A. Andrade-Campos
Centre for Mechanical Technology and Automation (TEMA),
Department of Mechanical Engineering
University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL
F-56100 Lorient, France
1
On the topology design of a mechanical heterogeneous specimen using geometric...vformxsteels
IDDRG 2022
M. Gonçalves, S. Thuillier, A. Andrade-Campos
Centre for Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering,
University of Aveiro, Portugal
Univ. Bretagne Sud, UMR CNRS 6027, IRDL, F-56100 Lorient, France
41st International Deep Drawing Research Group Conference, 6 - 10 June 2022, Lorient, France
Uncertainty quantification of inversely identified plastic material behavior ...vformxsteels
M Conde, S Coppieters, A Andrade-Campos
TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
Uncertainty quantification of inversely identified plastic material behavior ...vformxsteels
IDDRG 2022
M Conde1,*, S Coppieters2, A Andrade-Campos1
* marianaconde@ua.pt
1 TEMA, Department of Mechanical Engineering, University of Aveiro, Portugal
2 Department of Materials Engineering, Ghent Technology Campus, KU Leuven, Belgium
IDENTIFICATION OF SWIFT LAW PARAMETERS USING FEMU BY A SYNTHETIC IMAGE DIC-BA...vformxsteels
ESAFORM 2022
J. Henriquesa,*, M. Condea
, A. Andrade-Camposa
, J. Xavierb
*Corresponding author: joaodiogofh@ua.pt
aTEMA, Department of Mechanical Engineering, University of Aveiro, Campus Universitário de Santiago,
3810-193 Aveiro, Portugal
bUNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology,
NOVA University Lisbon, 2829-516 Caparica, Portugal
IDENTIFICATION OF SWIFT LAW PARAMETERS USING FEMU BY A SYNTHETIC IMAGE DIC-BA...vformxsteels
25th International Conference on Material Forming
Braga, Portugal, 27-29 April 2022
J. Henriquesa,*, M. Condea
, A. Andrade-Camposa
, J. Xavierb
*Corresponding author: joaodiogofh@ua.pt
aTEMA, Department of Mechanical Engineering, University of Aveiro, Campus Universitário de Santiago,
3810-193 Aveiro, Portugal
bUNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology,
NOVA University Lisbon, 2829-516 Caparica, Portugal
Process-informed material model selectionvformxsteels
ESAFORM 2023
Mariana Conde, Sam Coppieters, António Andrade-Campos
Department of Mechanical Engineering, TEMA - Centre for Mechanical Technology and Automation, LASI – Intelligent Systems Associate Laboratory, University of Aveiro, Portugal
Department of Materials Engineering, KU Leuven, Belgium
Process-informed material model selectionvformxsteels
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Mariana Conde1,*, Sam Coppieters2, António Andrade-Campos1
1Department of Mechanical Engineering, TEMA - Centre for Mechanical Technology and Automation, LASI – Intelligent Systems Associate Laboratory, University of Aveiro, Portugal
2Department of Materials Engineering, KU Leuven, Belgium
*marianaconde@ua.pt
Identification of orthotropic elastic properties of wood by a synthetic image...Vform Xsteels
This work aims to identify orthotropic linear elastic constitutive parameters of Pinus pinaster Ait. wood through the Finite Element Model Updating (FEMU) methodology. The approach is validated using both FE and synthetic image data. In the latter, digital image correlation is carried out on synthetic images deformed according to a 2D FE model. A systematic comparison is carried out. The identifiability for the four orthotropic material parameters on the radial-tangential (RT) plane is discussed regarding robustness and relative errors.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
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A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
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Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
1. Design and validation of a heterogeneous interior notched
specimen for material mechanical characterisation
1 Centre for Mechanical Technology and Automation (TEMA)
Department of Mechanical Engineering, University of Aveiro
Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde1,*, A. Andrade-Campos1, S. Coppieters2
2 Department of Materials Engineering, KU Leuven
Ghent Technology Campus, Gebroeders De Smetstraat 1, Ghent, 9000, Belgium
* Corresponding author: Mariana Peneda Conde. E-mail address: marianaconde@ua.pt
2. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Engineering design and development framework
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
1
Engineering
design and
development
Simulation
predictions
Virtual
manufacturing
3. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Numerical material behaviour reproduction
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
2
Constitutive
model
Material
parameters
Numerical
material
behaviour
prediction
4. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Observed problem and possible solution
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
3
Classical mechanical tests
Fixed stress state [1]
Several tests required
Time consuming
High costs
Heterogeneous mechanical
tests
Several strain and stress states
simultaneously
Large mechanical information
More complex stress states that
better represent reality [1, 2]
Fewer tests required [3]
Reliability proved [1-4]
[1] S. Cooreman, D. Lecompte, H. Sol, J. Vantomme, and D. Debruyne, Exp. Mech., vol. 48, no. 4, pp. 421–433, 2008, doi: 10.1007/s11340-007-9094-0.
[2] T. Pottier, F. Toussaint, and P. Vacher, Eur. J. Mech. A/Solids, vol. 30, no. 3, pp. 373–382, 2011, doi: 10.1016/j.euromechsol.2010.10.001.
[3] Nelson Mineiro Souto. Phd Thesis, University of Aveiro, Portugal, 2015.
[4] E. M. C. Jones, J. D. Carrol, K. N. Karlson, S. L. B. Kramer, R. B. Lehoueq, P. L. Reu and D. Z. Turner. Computational Materials Science, 152(June):268-290, 2018.
5. Introduction, framework and literature review
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Non-homogeneous mechanical tests from the literature
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
4
[7] T. Pottier, P. Vacher, F. Toussaint, H. Louche and T. Coudert. Experimental Mechanics, 52(7):951-963, 2012.
[5] [5] [5]
[6] [7]
[4] [8] [3] [3]
[5] Steven Cooreman. PhD Thesis, Free University of Brussels, Belgium, 2008.
[6] J. H. Kim, F. Barlat, F. Pierron and M. G. Lee. Experimental MechanicsI, 54(7):1189-1204, 2014.
[4] E. M. C. Jones, J. D. Carrol, K. N. Karlson, S. L. B. Kramer, R. B. Lehoueq, P. L. Reu and D. Z. Turner. Computational Materials Science, 152(June):268-290, 2018.
[8] L. Chamoin, C. Jailin, M. Diaz and L. Quesada. International Journal of Solids ans Structures, 2020.
[3] Nelson Mineiro Souto. Phd Thesis, University of Aveiro, Portugal, 2015.
6. Proposed solution
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Innovative heterogeneous mechanical test
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
5
Design a
heterogeneous
mechanical
specimen
Uniaxial loading conditions
Several strain and stress states
simultaneously
Standard tensile testing machine
Non-circular interior notch
Shape optimisation based on
heterogeneity indicators
7. Methodology and implementation
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by shape optimisation: general methodology
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
6
Control
variables
Curve
definition
Specimen’s
shape
Virtual
mechanical
test
Strain and
stress states
Heterogeneity
criterion
Objective
function
Optimisation
algorithm
Iterative
process
Heterogeneity
indicators
Plane stress state
Best solution
Beginning
Convergence?
8. Methodology and implementation
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Optimisation problem formulation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
7
The aim is to find r = [ ri ] with i = 1,… n, that:
maximises: 𝐻 𝐫, 𝐮
𝑟𝑖
min ≤ 𝑟𝑖 ≤
𝑟𝑖
max,
𝐊. 𝐮 = 𝐅.
𝐫 ∈ ℝ𝑛
Subjected to:
𝑖 = 1, … , 𝑛,
9. Methodology and implementation
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Solution’s evaluation: heterogeneity criterion
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
8
𝐼T1 = 𝑤r1
Std
𝜀2
𝜀1
𝑤a1
+ 𝑤r2
𝜀2
𝜀1
𝑅
𝑤a2
+ 𝑤r3
Std 𝜀𝑝
𝑤a3
+ 𝑤r4
𝜀𝑝
𝑀𝐴𝑋
𝑤a4
+ 𝑤r5
𝐴𝑣𝜀𝑝
𝑤a5
𝐼T1 ϵ [0,1]
[3] Nelson Mineiro Souto. Phd Thesis, University of Aveiro, Portugal, 2015.
𝐶𝐹T1 = 2 − 𝐼T1
uniaxial tension
pure shear
uniaxial compression
plane strain
equibiaxial tension
[3]
10. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
9
Control points
Fixed point
Extra points
x
y
11. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
10
12. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
10
13. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Sensitivity analysis to the element’s dimension and type
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
11
14. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
12
Control points
Fixed point
Extra points
x
y
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
15. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 60 mm
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
13
16. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 60 mm to 120 mm
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
13
17. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
14
18. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
14
19. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 4
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
15
20. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
Control points
Fixed point
Extra points
x
y
from 4 to 12 control points
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
15
21. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
16
Control points
Fixed point
Extra points
x
y
Hooke’s Law
Swift hardening Law
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
22. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
16
Control points
Fixed point
Extra points
x
y
Hooke’s Law
Swift hardening Law
Yld2000-2d yield function
Analysed
parameters
Boundary conditions
Specimen’s height/width ratio
Shape of the initial solution
Number of curve control points
Constitutive model
23. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: comparison of the obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
17
24. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: reference solution (circular interior notch)
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
18
25. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
19
26. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
20
27. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
21
28. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Specimen design by optimisation: best-obtained solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
22
29. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Hardening parameters’ identifiability analysis of the best solutions
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
23
[10] Y. Zhang, S. Gothivarekar, M. Conde, A. V. de Velde, A. Andrade-Campos, S. Coppieters, (Unpublished results)
[11] R. Brun, P. Reichert, H. R. K¨unsch, Water Resources Research 37 (4) (2001) 1015-1030. doi:10.1029/2000WR900350
[12] D. N. Gujarati, Basic Econometrics, 4th Edition, Vol. 82, McGrawHiII/lrwin, 2003. doi:10.2307/2230043.
[10, 11] [10, 12]
Good
identifiability
Poor
identifiability
Good
identifiability
Poor
identifiability
Moderate
identifiability
The identifiability indexes are based on the partial derivative of the strain field with respect to the hardening parameters.
It demonstrates the influence of the material model parameters in the computed strain fields of the test.
30. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Validation of the best solution using a virtual experiment
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
24
Virtual
experiment
Real speckle pattern (5px dot size)
Added heteroscedastic noise
Reference image deformed according to the FEA data
(nodal coordinates for each load step)
Performance analysis (subset size, step size, strain
window and order of the fitting polynomial)
𝑁𝑜𝑖𝑠𝑒 𝑓𝑙𝑜𝑜𝑟 = 1.526 × 10−3
𝑁𝑜𝑖𝑠𝑒 𝑙𝑒𝑣𝑒𝑙 = 0.653 %
31. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Validation of the best solution using a virtual experiment
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
25
Strain component Average FEA and
DIC difference (%)
xx 3.283
yy 6.057
xy 14.477
Subset-based DIC process
Speckle pattern quality
Experimental noise
Strain calculation method
32. Analysis and results
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
Validation of the best solution using a virtual experiment
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
26
33. Conclusions and future works
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
27
Main conclusions
Interior notched specimen for a
uniaxial loading test using
shape optimisation
Uniaxial tension, pure shear, uniaxial compression and plane strain states in the plastic regime
Larger heterogeneity than a specimen with a circular interior notch
Good identifiability of the
sought parameters of the Swift
hardening Law
Validation using a virtual
experiment
Good agreement on the xx and yy strain components
xy strain component exhibited larger differences
Larger errors observed in the tip of the interior notch
Strains states revealed in the numerical analysis are observed in the virtual experiment
34. Conclusions and future works
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde, A. Andrade-Campos, S. Coppieters, Design and validation of a heterogeneous interior notched specimen for material mechanical characterisation
28
Future works
Influence of the material orientation On the mechanical behaviour of the best solution
On the shape optimisation problem
Parameter identification using the developed
specimen
Synthetic images
Experimental data
Perform the real experimental validation of the
designed test
35. Design and validation of a heterogeneous interior notched
specimen for material mechanical characterisation
Thank you!
XVI International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2021, Barcelona, Spain, 7-10 September 2021
M. Conde1,*, A. Andrade-Campos1, S. Coppieters2
This project was funded by the Research Fund for Coal and Steel under grant agreement No 888153.
The authors acknowledge the financial support of the Portuguese Foundation for Science and Technology (FCT)
under the project PTDC/EME-APL/29713/2017 by UE/FEDER through the programs CENTRO 2020 and COMPETE
2020, and UID/EMS/00481/2013-FCT under CENTRO-01-0145-FEDER-022083.
* Corresponding author: Mariana Peneda Conde. E-mail address: marianaconde@ua.pt
Editor's Notes
Greetings
Name, University, Counrty
Title
Nowadays…
Accurate simulations <- robust contitutive model+calibrated material parameters
These days the classical mechanical tests are used to calibrate the model’s parameters.
However, heterogeneous mechanical tests ……
The heterogeneity is obtain due to a complex specimen geometry, or a complex loading condition, or even the combination of both
Here are some exemples from the literature….
Still don’t presente all the strain and stress states
These still have some issues like sliping of grips
It is proposed to develop….
How does he optimisation problema work?
It stars by…. Control variables = optimisation variables
Curve definition, …
Virtual mechanical test performed in abaqus until rupture in plane stress state conditions
There are obtained the strain and stress states that are used for the calculation of the heterogeneity criterion
CP = optimisation variable
Fixed point -> give another point to curve (> flexibility) but not add a optimisation variable
Extra points -> unsure slipes continuty in the symmetries
The aim is to …
That maximizes the heterogenety
Subjected to the search space limits of variables and the equilíbrium of forces of the virtual test
The heterogeneity criterion used was an adaptation of one from the literature
It was evaluated in the moment just before rupture and it takes in consideration… strain states.
It takes into acount both elastic and plastic strains.
It is normalised, so its maximum possible value is 1 and the cost function to be minimised is equal to 2 minus the heterogeneity criterion value
Conserning the simulation procedure, it …
It was performed a sensittivy analysis of the heterogeneity criterion to the element dimension and type.
For that it was varied each control point individually from 6 to 14, while the other were fixed in 10 and was calculated the heterogeneity criterion value with diferent element dimensions
It was performed a sensittivy analysis of the heterogeneity criterion to the element dimension and type.
For that it was varied each control point individually from 6 to 14, while the other were fixed in 10 and was calculated the heterogeneity criterion value with diferent element dimensions
It was performed a sensittivy analysis of the heterogeneity criterion to the element dimension and type.
For that it was varied each control point individually from 6 to 14, while the other were fixed in 10 and was calculated the heterogeneity criterion value with diferent element dimensions
It is observed a similar behaviour with the different element dimentions, with some exceptions with the 0.88mm element edge size
So it was perfered a smaller element dimention, expecting more accuracy
It was taken the same approach for the element type sensitivity evaluation.
It is clearlly observed a shift in the curves that will influence the heterogeneity criterion value. However, since the optimisation problema is a comparitive approach, this will not influence finding the best solution. So it was perfered a elemento type that requires less computational time (CPS4R)
These are the heterogeneity criterion values of each final solution. The best 4 were highlighted for further analysis.
Here is the reference solution, a specimen with a 20mm diameter perforation in the center.
On the left there are the minor and major stress and strain ratio, the von mises stress and the equivalente plastic strain of the specimen in the moment just before rupture.
On the right, the same moment is demonstrated in the major and minor stress diagram.
It can be observed some heterogeneity specially in the elastic regime. The plsatic regime is dominated by uniaxial tension state, with some uniaxial compression state.
Here is solution F, with a larger width. It shows mora variaty in the strain and stress states, exhibiting elemento from the plane strain state, until uniaxial compression in the plastic regime. In the elastic regime there are observed elements in the equibiaxial tension state.
This solution was genetared with an ellipsed-shape interior notch as initial solution of the optimisation problem.
It presents one of the largest heterogeneity criterion values, however the strain and stress states observed haven’t got that variety
This is the solution obtained with the combination of the best parameters. It presentes a similar mechanical behaviour as Sol. F, but a more complex interior notch shape
Lastly this is the solution obtained with the same parameters as Sol F, but adding the anisotropy behaviour to the material model. The interior notch shape is different from Sol F, demonstrating that dependeing on the material use, the optimium shape is different. The minor and major stress diagram shows a large amount of elements in the plastic regime with a good variety of stress states.
It was done an identifiability analysis to the hardening parameters of the best solutions.
….
It was proved that all the solutions show good identifiability, whereas the reference solution shows a moderate identifiability of the hardening parameters
A virtual experiment was held with a real speckle pattern….
Here are presented the strain fields of the FEA and DIC analysis and the normalised difference between the two.
The xx (exs) and yy (why) strain components show large similarities, with only some discrepencies in the tip of the notch.
Whereas the xy (ex-why) strain ocmponent exhibits larger diffrences with a average of approx. 14%.
These differences reflect the influence of the subset-based DIC process, the speckle pattern quality, the experimental noise and the strain calculation method.
Here are presented the minor and major strain diagrams of the same solution in the moment just before rupture evaluated with the numerical approach and the synthetic images.
It is observed a larger number of elements exhibiting pure shear in the virtual experimente and larger strains in the uniaxial tension state
