Dynamic mechanical properties refer to the response of a material as it is subjected to a periodic force. These properties may be expressed in terms of a dynamic modulus, a dynamic loss modulus, and a mechanical damping term.
Dynamic Mechanical Analysis (DMA) is a technique that is widely used to characterize a material’s properties as a function of temperature, time, frequency, stress, atmosphere or a combination of these parameters.
Intro
Principle
How it works
Types of dynamic Experiments
Instrumentation
Construction
Preparation of samples
Types of analysers
DMA of glass transition of polymers
Advantages
Applications
Limitations
Latest Research
References
Dynamic Mechanical Analysis (DMA) is a technique that is widely used to characterize a material’s properties as a function of temperature, time, frequency, stress, atmosphere or a combination of these parameters.
Intro
Principle
How it works
Types of dynamic Experiments
Instrumentation
Construction
Preparation of samples
Types of analysers
DMA of glass transition of polymers
Advantages
Applications
Limitations
Latest Research
References
Thermal testing, thermo mechanical and dynamic mechanical analysis & chem...Dr.S.Thirumalvalavan
Unit-V: THERMAL TESTING, THERMO-MECHANICAL AND DYNAMIC MECHANICAL ANALYSIS & CHEMICAL TESTING [OTHER TESTING].
Subject Name: OML751 Testing of Materials
Topics: Thermal Testing: Differential scanning calorimetry, Differential thermal analysis. Thermo-mechanical and Dynamic mechanical analysis: Principles, Advantages, Applications. Chemical Testing: X-Ray Fluorescence, Elemental Analysis by Inductively Coupled Plasma-Optical Emission Spectroscopy and Plasma-Mass Spectrometry.
B.E. Mechanical Engineering
Final Year, VII Semester, Open Elective Subject
[As per Anna University R-2017]
Thermal testing, thermo mechanical and dynamic mechanical analysis & chem...Dr.S.Thirumalvalavan
Unit-V: THERMAL TESTING, THERMO-MECHANICAL AND DYNAMIC MECHANICAL ANALYSIS & CHEMICAL TESTING [OTHER TESTING].
Subject Name: OML751 Testing of Materials
Topics: Thermal Testing: Differential scanning calorimetry, Differential thermal analysis. Thermo-mechanical and Dynamic mechanical analysis: Principles, Advantages, Applications. Chemical Testing: X-Ray Fluorescence, Elemental Analysis by Inductively Coupled Plasma-Optical Emission Spectroscopy and Plasma-Mass Spectrometry.
B.E. Mechanical Engineering
Final Year, VII Semester, Open Elective Subject
[As per Anna University R-2017]
Several Kinds of Thermal Analysis Technologies of Measuring Glass Transition ...IJERA Editor
Thermal analysis technology is a general term of a set of techniques that can measure the material’s performance varying with temperature. The thermal property, volumetric property, mechanical property and electrical property of polymer exist obvious difference through glass transition, tracking these properties’ variation with temperature changes can determine its GTT (glass transition temperature). According to different measuring principles, these thermal analysis technologies of testing GTT are divided into following several categories, they are differential scanning calorimetry (DSC), differential thermal analysis (DTA), modulated differential scanning calorimetry (MDSC), thermo-mechanical analysis (TMA), dynamic thermomechanic analysis (DMA) and dielectric thermal analysis (DEA). The article introduces their testing methods, characteristics and influencing factors, in order to provide a reference for choosing appropriate technique to measure the glass transition temperature.
Lecture notes on Structure and Properties of Engineering Polymers
Course Objectives:
The main objective is to introduce polymers as an engineering material and emphasize the basic concepts of their nature, production and properties. Polymers are introduced at three levels; namely, the molecular level, the micro level, and macro-level. Through knowledge of all three levels, student can understand and predict the properties of various polymers and their performance in different products. The course also aims at introducing the students to the principles of polymer processing techniques and considerations of design using engineering polymers.
Thermo mechanical characterization and damage of polymer materials:Applicatio...IJERD Editor
Plastic materials occupy a large part in our daily lives because of their ease of installation and relatively low production costs. The rapid technical development and we live brings more and more mechanical engineers to face the problems of damage to materials. However, these problems are even more serious than fatigue cracking often leads to a sudden break often cause accidents. This unfortunately happens all too frequently, due to insufficient knowledge either room service conditions or even damage parameters. This work presents new developments in the field of fracture mechanics and the objective is the evaluation of defects and thus a better estimate of the reliability of the polymeric material structures
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
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Use of the PerkinElmer TMA 4000 to Characterize Melting and Softening PointsPerkinElmer, Inc.
This application note demonstrates how the PerkinElmer TMA 4000 qualifies and quantifies changes occurring in materials as it softens on heating.
Learn more about the TMA 4000: http://bit.ly/1czg7em
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Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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optics at visible wavelengths.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
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What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
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4. Dynamic mechanical analysis (abbreviated DMA, also known
as dynamic mechanical spectroscopy) is a technique used to
study and characterize materials.
Dynamic Mechanical
Analysis measures the
mechanical properties of
materials as a function of
time, temperature, and
frequency.
5. The DMAlets you relate
MATERIAL
BEHAVIOUR
Product PropertiesMolecular Structure
Processing
Conditions
7. Whatare DynamicMechanical Properties ?
Dynamic mechanical properties refer to the
response of a material as it is subjected to a
periodic force. These properties may be expressed
in terms of a dynamic modulus, a dynamic loss
modulus, and a mechanical damping term.
Typical values of dynamic modulus for polymers range from 106 -1012 dyne/cm2 depending upon the
typeofpolymer,temperature,andfrequency.
9. >> DMA is a measuring instrument which is used to determine
the dynamic characteristics of materials.
>> It applies a dynamic oscillating force to a sample and analyze
the material’s response to that cyclic force.
>> Basically, DMA determines changes in sample properties
resulting from changes in five experimental variables:
TEMPERATURE TIME FREQUENCY FORCE STRAIN
12. Preparation of Specimen
Depending on the material to analyze, the
specimen can be prepared in different ways:
Molding, Cutting
As a general rule, common specimen
dimensions range from a few millimeters to
a few centimeters. The use of a caliper is
then advised. The use of a micrometer is
preferred to measure film thickness.
13. Compression plates
Tension jaws for film
Tension jaws for bars Tension jaws for bars
Plane shear for films
Plane shear
Shear for liquid Shear for pasty material
Dual cantilever Three point bending
Configuration of specimen and
specimen holder for different
tests in DMA
16. Result
Storage modulus
(E’):elastic property
Loss modulus
(E”) :viscous property
Loss tangent (tan )
A typical response from a DMAshows both modulus and Tanδ. As the material goes through its glass transition, the
modulus reduces andthe Tanδ goes through a peak.
Tg indicated by majorchange in curves: Largedropin log E’ curve andPeak in Tanδ curve
18. Viscoelasticity :-
Viscoelastic materials exhibit
characteristics of both viscous
and elastic materials
Ex.- Elastomers, polymers etc.
Glass Transition Temperature
Definition: Transition from bond
stretching to long range
molecular motion
Theoretical basis for DMA
Elastic vs ViscoelasticViscosity resistance to flow (damping)
Elasticity ability to revert back to original shape
Flow Temperature
Definition: point at which heat vibration is enough to break bonds in crystal lattice
19. sinusoidally applied stress
measured strain
phase lag between applied stress and measured strain
Complex dynamic modulus (E*)
• Ratio of applied stress to measured strain
E* = E’ + iE” = SQRT(E’2+ E”2)
Storage modulus (E’)
• Energy stored elastically during deformation
• “Elastic” of “viscoelastic”
• E’= E* cos
Loss modulus (E’’)
• Energy loss during deformation
• “Visco” of “viscoelastic”
• E” = E* sin
Loss tangent (tan ) or damping or loss factor
• shows the ability of material to dissipate the energy
• Tan = E’’/E’
20. If phase lag is zero
then E*= E’ material is purely elastic
If phase lag is 90 degree
then E* = E” material is purely viscous
If phase lag is between 0 90 degree
then E* = E’ + iE” material is viscoelastic
25. These are dynamic elastic characteristics and are material-specific; their magnitude depends
criticallyon thefrequencyaswell asthemeasuringconditionsandhistoryofthespecimen.
the storage modulus E´ represents the stiffness of a visco- elastic material and is proportional to
the energy stored during a loading cycle. It is roughly equal to the elastic modulus for a single,
rapidstressatlow loadandreversible deformation.
the loss modulus E´´ is defined as being proportional to the energy dissipated during one loading
cycle. It represents, for example, energy lost as heat, and is a measure of vibrational energy that
hasbeen convertedduringvibrationandthatcannotberecovered.
modulusvaluesareexpressedin MPa,butN/m2aresometimes used.
The phase angle δ is the phase difference between the dynamic stress and the dynamic strain in
a viscoelastic material subjected to a sinusoidal oscillation. The phase angle is expressed in
radians(rad).
26. The loss factor tan is the ratio of
loss modulus to storage modulus.
It is a measure of the energy lost,
expressed in terms of the recover-
able energy and represents mech-
anical damping or internal friction
in a visco-elastic system. The loss
factor tan is expressed as a
dimensionless number. A high tan value is indicative of a material that
has a high, non elastic strain component, while a low value indicates one
that is more elastic.
In a purely elastic material the stress and deformation are in phase ( = 0),
that is, the complex modulus E* is the ratio of the stress amplitude to the
deformation amplitude and is equivalent to the storage modulus E´ ( = 0,
therefore cosine 0 = 1; sine 0 = 0, therefore E* = E´). Steel is an example of
an almost purely elastic material. In a purely viscous material, such as a
liquid, the phase angle is 90°. In this case, E* is equal to the loss modulus
E´´, the viscous part.
27. Determining the glass transition temperature from the
maximum loss tangent is fairly straightforward. Furthermore, the
value agrees well with the temperature given by DMA step
evaluation (linear plot, half height). Problems can arise,
however, if the loss modulus maximum is not sufficiently
accentuated.
In summary, it may be said that different methods of
determining Tg yield different values for Tg. When a glass
transition temperature is stated, therefore, it is absolutely vital
to indicate the method of evaluation in addition to the
experimental parameters.
28. Which materials can be analyzed with DMA ?
DMA instrumentcan be used to characterizemechanical and/orthermal properties of a great numbers of materials:
Polymers
Elastomers
Composites
Metals and alloys
Ceramics, glass
Adhesives
Bitumen
Paint and varnish
Cosmetics
Oils
Biomaterials
Leather, skin hair….
30. Measurement of the glass transition
temperature of polymers
Varying the composition of monomers
Effectively evaluate the miscibility of polymers
To characterize the glass transition
temperature of a material
31. This table shows which DMA characteristics can be used to describe quality
defects, processing flaws, and other parameters.
Application Charachteristic Example
Regions in which state is
dependent on
temperature
E‘ Energy and entropy-elastic
region, start of melting
Temperature-dependent
stiffness
E´, E´´, Tg , tan δ Elastic and non elastic
response
Thermal limits on use Tg Start of softening or
embrittlement
Frequency and
temperature dependent
damping
tan δ (f) Response of damping
elements
32. Application Charachteristic Example
Blend of constituents difficult
to identify by DSC
Tg Impact-modification of
Polyamid 6 through
butadiene rubber
Influence of fiber
reinforcement on mechanical
parameters
E´, E´´, tan G Anisotropic stiffness
Recycling, repeated
processing, aging
T g1 , Tg2 Shift in butadiene Tg from
ABS to higher temperatures
State of aging (conditioning) Tg Water content of PA
Degree of curing, postcuring Tg Tg rises, tan G falls, modulus
rises
Thermal degradation Tg Tg falls
33. Thank you!
Source:
MAC.IASTATE.EDU GUIDE
WWW.WIKIPEDIA.ORG
TAINSTRUMENTS DMA+450 MODEL GUIDE
WWW.PERKINELMER.COM
WWW.SCHOLAR.LIB.VT.EDU
DMA: A PRACTICAL INTRODUCTION
by Hevin P. Menard