pmr 5251 assessment of mechanical behavior of materials

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PMR 5251 PMR 5251 Assessment of Mechanical Behavior of Materials using Machine Learning Approach Profa.Dra. Izabel Fernanda Machado and Profa. Dra. Larissa Driemeier Izabel Machado – [email protected] 1 Profa. Izabel Machado - [email protected] Profa. Larissa Driemeier - [email protected]

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Page 1: PMR 5251 Assessment of Mechanical Behavior of Materials

PMR 5251

PMR 5251

Assessment of Mechanical Behavior of Materials using Machine Learning Approach

Profa.Dra. Izabel Fernanda Machado and

Profa. Dra. Larissa Driemeier

Izabel Machado – [email protected] 1

Profa. Izabel Machado - [email protected]

Profa. Larissa Driemeier - [email protected]

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Izabel Machado – [email protected] 2

Schedule

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Izabel Machado – [email protected] 3

Introduce yourself !

Name

PhD or Master degree candidate (regular orespecial)

Advisor

Research approach

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Izabel Machado – [email protected] 4

Seminar teams and theme (paper) selection

Key words: mechanical behavior and machinelearning

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Materials Selection in Mechanical Design ThirdEdition- Ashby

Materials

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Materials Selection in Mechanical Design ThirdEdition- Ashby

Materials Properties

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Mechanical Properties definition (?):

Characteristics that indicate the elastic or inelastic behavior of a material under pressure(force), such as bending, brittleness, elongation, hardness, and tensile strength.http://www.businessdictionary.com/definition/mechanical-properties.html

Definition. Mechanical properties are physical properties that a material exhibits upon theapplication of forces. Examples of mechanical properties are the modulus of elasticity,tensile strength, elongation, hardness and fatigue limit.https://www.nature.com/subjects/mechanical-properties

The mechanical properties of a material are those properties that involve a reaction to anapplied load. The mechanical properties of metals determine the range of usefulness of amaterial and establish the service life that can be expected. Mechanical properties are alsoused to help classify and identify material. The most common properties considered arestrength, ductility, hardness, impact resistance, and fracture toughness.https://www.nde-ed.org/EducationResources/CommunityCollege/Materials/Mechanical/Mechanical.htm

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Mechanical Tests and Specimens

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Tensile Test

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Tensile Test

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Tensile Test

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Tensile Test

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Tensile Test

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Tensile Test

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Impact Test

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Impact Test

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Hardness Test

Vickers hardness

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Fatigue Test

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Fatigue Test

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Materials Selection in Mechanical Design ThirdEdition- Ashby

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Materials Selection in Mechanical Design ThirdEdition- Ashby

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Materials Design

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Size Scales

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Size Scales:

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There exist 6 structural levels of matter down to the final elementary particles (Fig. 1) . Microstructure is

the Material Science is concerned with the relation be- term used here for the level between phases

(crystals

tween structure and macroscopic properties. There and glasses) and macroscopic structures.

Microstructure

Acta metall Vol. 32, No. 5. pp. 615-627, 1984E. HORNBOGEN - ON THE MICROSTRUCTURE OF ALLOYS

A molecule is an electrically neutral group of two or

more atoms held together by chemical bonds. Molecules

are distinguished from ions by their lack of electrical

charge.

Atom is (Physics) the smallest component of an element

having the chemical properties of the element, consisting

of a nucleus containing combinations of neutrons and

protons and one or more electrons bound to the nucleus

by electrical attraction; the number of protons determines

the identity of the element.

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“The term microstructure is still often reserved to objects which are visible by the methods of light

microscopy. Its quantitative description has achieved a high degree of perfection. Advances of electron

microscopy (TEM, SEM) and more recently field ion microscopy (FIM), however, have expanded our

horizon so that it seems on time to extend the definition of microstructure. and to realise that its

importance is comparable to that of other levels of structure “

Microstructure

Acta metall Vol. 32, No. 5. pp. 615-627, 1984E. HORNBOGEN - ON THE MICROSTRUCTURE OF ALLOYS

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Mechanical Behavior and Microstructural Features

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Mechanical Behavior and Microstructural Features

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Mechanical Behavior and Microstructural Features

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Mechanical Behavior and Microstructural Features

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Mechanical Behavior and Microstructural Features

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Microstructure’s Features

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Microstructure’s Features

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Microstructure’s Features

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Microstructure’s Features

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Microstructure’s Features

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Phase Diagram

Fe-CSystem

Thermodynamics

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Fe-CSystem

Kinetics

TTT and CRC diagrams

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Fe-CSystem

Kinetics

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Fe-CSystem

KineticsStable and Metastable

phases

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Mechanical behavior

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Mechanical Behavior

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Mechanical Behavior

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Manufacturing :

Requirements and influence

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Mechanical behavior

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Mechanical behavior

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Mechanical behavior

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Mechanical Behavior and Microstructural Features

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References

DOWLING ,N.E. , KAMPE, S.L., KRAL, M.V. - Mechanical Behavior of Materials (5th Edition) 5th Edition. Pearson. 2018. ISBN-13: 978-0134606545 and ISBN-10: 013460654XMarsland, S.- Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/Crc Machine Learning & Pattern Recognition), 2014. ISBN-13: 978-1466583283 and ISBN-10: 1466583282MEYERS, M. A. e CHAWLA, K. K. - Mechanical Behavior of Materials, Cambridge University Press, 2009. ABBASCHIAN, R., REED-HILL, R. E. - Physical Metallurgy Principles 4th Edition, Cengage Learning, 2009, 750p. ANDRESON, T.L. Fracture Mechanics: Fundamentals and Applications, Third Edition, CRC Press, 2005, 640 p. DIETER, G. E. - Mechanical Metallurgy, McGraw Hill Book Company , 1988. HASLACH, H. W.; ARMSTRONG, R.W. Deformable Bodies and Their Material Behavior. USA: John Wiley & Sons. 2004, 531p. HERTZBERG, R. Deformation and fracture mechanics of engineering materials. John Wiley & Sons, Inc. 1989. HULL, D., BACON, D.J. Introduction to dislocations. Great Britain:Butterworth- Heinemann. 2011. 257p. MEYERS, M.A. Dynamic Behavior of Materials. New York: John Wiley & Sons, 1994. 668p.THEOBALD, O., Machine Learning for Absolute Beginners: A Plain English Introduction, 2018.

MITCHELL, T., Machine Learning, McGraw-Hill, 1997.HASTIE, T; TIBSHIRANI, R.; FRIEDMAN, J. The Elements of Statistical Learning, 2nd edition, Springer-Verlag, 2009.

Comment: Pictures and Figures were from DOWLING, MEYERS, ASHBY and google search