The presentation deals with a basic overview regarding the Theory, Properties and Applications of Shape-memory Polymers (SMPs).
It also discusses concepts such as Shape memory effect, Programming of Polymers and Practical applications of SMPs.
Shape-memory polymers are smart materials that have the ability to return from a deformed state to their original shape induced by an external stimulus, such as temperature change.
Shape Memory Polymers And Its Application In Self HealingKarthik Vijayan
Polymers which are capable of recovering from a temporary shape to a memorized permanent shape in response to a stimulus are called shape memory polymers. An interesting and futuristic application of shape memory polymers is in the fabrication of better self healing materials.
The fabrication methodology of a composite part depends mainly on three factors:
(i) the characteristics of matrices and reinforcements,
(ii) the shapes, sizes and engineering details of products, and
(iii) end uses.
The composite products are too many and cover a very wide domain of applications ranging from an engine valve to an aircraft wing.
The fabrication technique varies from one product to the other.
Shape-memory polymers are smart materials that have the ability to return from a deformed state to their original shape induced by an external stimulus, such as temperature change.
Shape Memory Polymers And Its Application In Self HealingKarthik Vijayan
Polymers which are capable of recovering from a temporary shape to a memorized permanent shape in response to a stimulus are called shape memory polymers. An interesting and futuristic application of shape memory polymers is in the fabrication of better self healing materials.
The fabrication methodology of a composite part depends mainly on three factors:
(i) the characteristics of matrices and reinforcements,
(ii) the shapes, sizes and engineering details of products, and
(iii) end uses.
The composite products are too many and cover a very wide domain of applications ranging from an engine valve to an aircraft wing.
The fabrication technique varies from one product to the other.
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.
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.
In this presentation, you can find the general description of the Polymer Nano-Composites. About the Properties, they incorporate the Composite material.
The processing techniques of Polymer Nano-Composites as well.
Autoclave is a closed vessel (Round or Cylindrical) in which processes occur under simultaneous application of high temperature and pressure. Autoclave molding technique is similar to vacuum bag and pressure bag molding method with some modifications. This method employs an autoclave to provide heat and pressure to the composite product during curing.
This is a little presentation I gave to Roald Hoffmann's group at Cornell. What are the industrial applications of computational chemistry? How to people work differently in academia vs. industry? What are the sorts of things students should think about if they plan to work in the corporate world?
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.
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.
In this presentation, you can find the general description of the Polymer Nano-Composites. About the Properties, they incorporate the Composite material.
The processing techniques of Polymer Nano-Composites as well.
Autoclave is a closed vessel (Round or Cylindrical) in which processes occur under simultaneous application of high temperature and pressure. Autoclave molding technique is similar to vacuum bag and pressure bag molding method with some modifications. This method employs an autoclave to provide heat and pressure to the composite product during curing.
This is a little presentation I gave to Roald Hoffmann's group at Cornell. What are the industrial applications of computational chemistry? How to people work differently in academia vs. industry? What are the sorts of things students should think about if they plan to work in the corporate world?
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze whether and how 4D Printing is becoming economically feasible. 4D printing is defined as 3D printing of smart materials whose shape and properties change with the addition of heat or electrical energy. The presentation describes a number of these smart materials, the specific stimuli that lead to changes in shaper or properties, and application examples. Examples include self-healing polymers for smart phones, other materials for space structures, alloys for heat engines, and dielectric elastomers for artificial muscles.
Technology industries have a very important direct and indirect impact on Finnish business life now and also in the future. A remarkable potential lies particularly in the small- and medium-sized enterprises. To develop and maintain industrial competitiveness we develop technological solutions which can widely be exploited by the Finnish manufacturing industries.
This presentation gives an overview of the VTT’s experience and offering for industry and is focused to computational material development, robotics, additive manufacturing, and concept design.
A Multiscale Simulation Approach for Diesel Particulate Filter Design Based o...Ries Bouwman
The majority of Diesel exhaust gas aftertreatment system design and development
work is done experimentally by means of long and expensive engine bench tests.
The final system configuration is generally the product of a series of experimental
“trial and error” operations. In order to shorten the development process, to reduce
testing costs and to increase the durability of Diesel Particulate Filters (DPFs), multidisciplinary
simulation tools are needed to predict possible failures of the DPF.
Recently, several numerical models have been developed to simulate globally the
soot loading capacity, the pressure drop evolution and the regeneration behaviour in
ceramic wall-flow filters. Less effort has been devoted to the development of
dedicated models for the simulation of the microstructural flow phenomena and
thermo-mechanical behaviour of the filters.
This paper describes the development of a multi-physics software tool based on
OpenFOAM embedded in the DexaSIM Graphical User Interface (GUI) which is able
to handle the evolution of microstructural material properties and complex physical
phenomena inside the filter material as well as response of complete filters under
engine operating conditions.
The modelling approach hence builds on the multiscale link between microstructural
evolution and specific macroscopic exhaust system features with the objective to
achieve major improvements in material design and lifecycle assessment.
Session-aware Linear Item-Item Models for Session-based Recommendation (WWW 2...민진 최
This is the official slide for the WWW 2021 paper: Session-aware Linear Item-Item Models for Session-based Recommendation
If you have any questions, please contact zxcvxd@skku.edu.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
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.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Nucleic Acid-its structural and functional complexity.
Shape Memory Polymers (SMPs) - Theory, Properties and Applications
1. Properties and applications of
Shape Memory Polymers
Nithin Thomas
apl. Prof. Dr. Fathollah Varnik,
M.Sc. Elias Mahmoudinezhad Zirdehi
Interdisciplinary Centre for Advanced Materials Simulation (ICAMS)
Ruhr-University Bochum, Germany
nithin.thomas@rub.de
Bochum 23/01/2020
2. 2
Contents
• What are SMPs?
• Shape Memory Effect
• Classification of SMPs
• Design and Mechanism of SMPs
• Types of Shape Memory Cycles
• Comparison between SMPs and SMAs
• Applications of SMPs
• Conclusion
Original Shape Temporary Shape Recovered Shape
3. 3
What are Shape Memory Polymers (SMPs)?
• Polymeric smart materials capable of recovering from a
deformed (temporary) shape to a memorized (original) shape
when triggered by an external stimulus.
Original Shape Temporary Shape Recovered Shape
Thermally induced Shape Memory Effect in ethylene-vinyl acetate
“Mechanisms of the Shape Memory Effect in Polymeric Materials” Xuelian Wu et al. (2013)
4. 4
Shape Memory Effect
Shape memory effect (SME) and Shape Change Effect (SCE)
“Shape Memory Effect in Polymeric Materials: Mechanisms and Optimization” Ye Zhou et al. (2015)
• The property by which materials that can ‘remember’ what
shape they were and return to that shape when some stimulus
like heat or light, is applied.
A → Temporary State
B → Permanent State
H → Energy Barrier
5. 5
Shape Memory Effect
Response to stimulus of touch in Mimosa Pudica
Video by Akshay Marathe, India (2011)
Stimulus : a thing that arouses activity or energy in someone or
something; a spur or incentive.
6. 6
Shape Memory Polymers : Classification
Based on the type of Stimuli induced, SMPs are primarily classified into:
• Temperature (Thermo-responsive)
• Chemicals (Chemo-responsive)
• Light (Photo-responsive)
• Mechanical force (Mechano-responsive)
7. 7
Design and Mechanism of SMPs
The Shape Memory Cycle consists of 3 Steps
• Programming
• Storage
• Recovery
8. 8
Design and Mechanism of SMPs
Heat > Tg Apply force
Cool Remove Force
Reheat
Programming
Recovery
Storage
Repeat
Shape memory Cycle
9. 9
Design and Mechanism of SMPs
Shape Memory Cycle
“Shape Memory Polymers”, Ledlein and Kelch. Angew. 2018
11. 11
Types of Shape Memory Cycles
Two-Way Shape Memory Effect exhibited by Liquid Crystal Elastomer(LCE)
Video by Christopher Yackacki, “Characterization of Active Shape-Memory Polymers” (2017)
12. 12
Comparison between SMPs and SMAs
Comparison between SMPs and SMAs
“Shape Memory Polymers”, Nithesh D Nayak (2017)
Property SMP SMA
Density (g/m3) 0.9-1.25 6-8
Phase Transformation Glass Transition Martensitic Transition
Strain (%) Upto 400% Upto 8%
Recovery Speed (s) 1s to few min <1s
Bio compatibility and
degradability
Good Poor
Condition at high
Temperature
Soft Hard
Condition at low
Temperature
Hard Soft
Cost Cheap Expensive
Programming Easy and fast Difficult
13. 13
Applications of SMPs
• Industrial Applications
Heat Shrinking tubing
Video by Christopher Yackacki, “Characterization of Active Shape-Memory Polymers” (2017)
14. 14
Applications of SMPs
• Biomedical Applications
A smart surgical suture self-tightening at elevated temperatures
“Review of progress in shape-memory polymers”, C. Liu et al. (2007)
15. 15
Applications of SMPs
• Biomedical Applications
SMPs used in Minimum Invasive Surgery
Video by Christopher Yackacki, “Characterization of Active Shape-Memory Polymers” (2017)
16. 16
Summary
• Polymers that can recover their original shape on exposure to
an external stimuli is called SMPs.
• A distinction was made between SME and SMC.
• SMPs can be classified based on stimuli used for recovery.
• A Shape memory cycle consists of Programming, storage and
recovery.
• A comparison between SMPs and SMAs were made.
• SMPs are used in numerous applications.