The document summarizes simulation techniques for the manufacturing and analysis of continuous fiber-reinforced plastics. It discusses modeling of winding, braiding, and draping processes to accurately position fibers. Material models are described that capture the anisotropic behavior of continuous fiber composites. Failure models account for different failure modes like longitudinal tension and compression. Overall the document outlines the importance of simulating the manufacturing process and highlights available modeling approaches in LS-DYNA for both the production and mechanical analysis of continuous fiber reinforced composites.
Diffuse and localized necking under plane stress in visco-plastic material mo...Salvatore Scalera
In a tension test on a ductile material, a diffuse necking - so called because its spatial extension is much larger than the sheet thickness - begins to develop in the sample when the strain hardening is no longer able to compensate for the weakening due to the reduction of the cross section. After some elongation under decreasing load, a localized neck usually appears in the region of the diffuse neck. In the localized neck, severe thinning occurs leading to ultimate failure.
This work focuses on studying the diffuse and localized necking under plane stress conditions in visco-plastic materials under dynamic loading. By means of a DOE analysis the main material parameters that influence the occurrence of local and diffuse necking were determined. A material model is then validated by systematic comparison of simulation results with physical tests carried out at different strain rates. One methodology to achieve good correlation between test and experiments is the use of a damage model. The damage model chosen by the authors is GISSMO (Generalized Incremental Stress-State dependent damage Model), due to its widespread usage in the crash community.
The GISSMO model is defined in terms of a critical plastic strain that indicates the start of damage coupling and a failure plastic strain indicating fracture, both are defined as a function of stress triaxiality. As the necking or more generally plastic instability will result in mesh dependency of the simulation results, regularization is introduced by defining both the failure plastic strain and the damage exponent as a function of the mesh size. As the spatial extension of the diffuse neck differs as a function of strain rate, one way to achieve correlation between test and simulation is to express these parameters as function of both the mesh size and the strain rate.
As consequence of the findings of this study, a number of new options were developed in the GISSMO model.
Diffuse and localized necking under plane stress in visco-plastic material mo...Salvatore Scalera
In a tension test on a ductile material, a diffuse necking - so called because its spatial extension is much larger than the sheet thickness - begins to develop in the sample when the strain hardening is no longer able to compensate for the weakening due to the reduction of the cross section. After some elongation under decreasing load, a localized neck usually appears in the region of the diffuse neck. In the localized neck, severe thinning occurs leading to ultimate failure.
This work focuses on studying the diffuse and localized necking under plane stress conditions in visco-plastic materials under dynamic loading. By means of a DOE analysis the main material parameters that influence the occurrence of local and diffuse necking were determined. A material model is then validated by systematic comparison of simulation results with physical tests carried out at different strain rates. One methodology to achieve good correlation between test and experiments is the use of a damage model. The damage model chosen by the authors is GISSMO (Generalized Incremental Stress-State dependent damage Model), due to its widespread usage in the crash community.
The GISSMO model is defined in terms of a critical plastic strain that indicates the start of damage coupling and a failure plastic strain indicating fracture, both are defined as a function of stress triaxiality. As the necking or more generally plastic instability will result in mesh dependency of the simulation results, regularization is introduced by defining both the failure plastic strain and the damage exponent as a function of the mesh size. As the spatial extension of the diffuse neck differs as a function of strain rate, one way to achieve correlation between test and simulation is to express these parameters as function of both the mesh size and the strain rate.
As consequence of the findings of this study, a number of new options were developed in the GISSMO model.
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.
RTM is a low-pressure molding process, where a mixed resin and catalyst are injected into a closed mold containing a fiber pack or preform . when the resin has cured the mold can be opened and finished component removed.
The presentation is about the various types of composites used in the space shuttle program. The history of the STS program was elucidated and the further developments were discussed. The presentation discussed about the various types of the composites used in various parts of the shuttle. The presentation was made in PowerPoint 2016, theme STEM Pitch Dark.
Authors: Adarsh Agrawal, Gunjan Javaria, Vaibhav Mahawar
An indepth description of filament winding and its fabrication.The slide has good understandability concepts that can be utilised for simple and effective presentation.
The important points of composite materials are mentioned. This file includes, what is composite materials, its classifications, applications, advantages and disadvantages.
Reengineering of Topology Optimization Results - Inspire and PolyNURBSAltair
In an optimization driven design process, going from a conceptual optimization result to a CAD geometry can be a tedious and time consuming activity. Learn how to take advantage of the unique freedom from PolyNURBS technology to unleash your creativity and create CAD concepts in an intuitive, easy and fast way.
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.
RTM is a low-pressure molding process, where a mixed resin and catalyst are injected into a closed mold containing a fiber pack or preform . when the resin has cured the mold can be opened and finished component removed.
The presentation is about the various types of composites used in the space shuttle program. The history of the STS program was elucidated and the further developments were discussed. The presentation discussed about the various types of the composites used in various parts of the shuttle. The presentation was made in PowerPoint 2016, theme STEM Pitch Dark.
Authors: Adarsh Agrawal, Gunjan Javaria, Vaibhav Mahawar
An indepth description of filament winding and its fabrication.The slide has good understandability concepts that can be utilised for simple and effective presentation.
The important points of composite materials are mentioned. This file includes, what is composite materials, its classifications, applications, advantages and disadvantages.
Reengineering of Topology Optimization Results - Inspire and PolyNURBSAltair
In an optimization driven design process, going from a conceptual optimization result to a CAD geometry can be a tedious and time consuming activity. Learn how to take advantage of the unique freedom from PolyNURBS technology to unleash your creativity and create CAD concepts in an intuitive, easy and fast way.
Finite Element Analysis of Damping Performance of VEM Materials Using CLD Tec...IJERA Editor
Most engineering structures experiences vibrational motion, this unwanted vibrations can result in premature
structural failure. Many methods are developed which enhances capability of damping such as constrained layer
damping. Shear motion is produced in VEM due to constraining layer to resist unwanted vibrational energy.
This paper shows theeffect of varying the thickness of viscoelastic materials on damping performance of CLD
beam.The damping performance is measured in terms of modal loss factor.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
A STUDY ON TENSILE AND COMPRESSIVE STRENGTH OF HYBRID POLYMER COMPOSITE MATER...IAEME Publication
Hybrid composite Materials have extensive engineering application where strength to weight ratio, low cost and ease of fabrication are required. Hybrid composites provide combination of properties such as tensile modulus, compressive strength and impact strength which cannot be
realized in composite materials.
Effect of lamination angle on maximum deflection of simply supported composit...RAVI KUMAR
In this project a composite laminated beam is studied with glass-epoxy and graphite-epoxy combination. The beam is composed of four layers of different combination of composite material (glass epoxy and graphite epoxy composite). The beam is simply supported at both the ends and is subjected to uniformly distributed load along the length. Transverse deflection is computed for different lamination angle (0^0-〖90〗^0) by using Euler- Bernoulli’s theory (or CLPT). Maximum transverse deflection analysis is carried out using derived analytical expressions. The research carried out in this project will enable to determine the beam strength due to bending loads. The importance of fibre reinforcement in the manufacturing of the beam is studied in terms of bending strength of the beam. MATLAB codes are generated to implement analytical expiations of the composite beam.
The main objective of the paper is to find out the lamination angle at which minimum deflection is obtained & to find out the effect of lamination angle on maximum transverse deflection of the beam.
Role of Simulation in Deep Drawn Cylindrical PartIJSRD
Simulation is widely used in forming industry due to its speed and lower cost and it has been proven to be effective in prediction of formability and spring back behavior. The purpose of finite element simulation in the sheet metal forming process is to minimize the time and cost in the design phase by predicting key outcomes such as the final shape of the part, the possibility of various defects and the flow of material. Such simulation is most useful and efficient when it is performed in the early stage of design by designers, rather than by analysis specialists after the detailed design is complete. The accuracy of such simulation depends on knowledge of material properties, boundary conditions and processing parameters. In the industry today, numerical sheet metal forming simulation is very important tool for reducing load time and improving part quality. In this paper finite element model for the deep-drawing of cylindrical cups is constructed and the simulation results are obtained by using different simulation parameters, i.e. punch velocity, coefficient of friction and blank holder force of the FE mesh-elements and these results are compared with experimental work.
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.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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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.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
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.
Water Industry Process Automation and Control Monthly - May 2024.pdf
2014-dynamore-webinar-composites.pdf
1. Simulation of the Manufacturing and
Serviceability of Continuous Fiber-
reinforced Plastics
Dr. Stefan Hartmann, Dr. André Haufe,
Dr. Thomas Klöppel, Christian Liebold
DYNAmore GmbH, Stuttgart
Webinar: Composite Analysis
02.04.2014
2. Composites
A composite is a combination of two or more materials, differing in
form or composition on a macroscale. The constituents do not
dissolve or merge completely into one another, but can be physically
identified and exhibit an interface.
Concrete
(cement/stone/steel)
Endless fiber
reinforced polymers
(glass/carbon/PA/PP/EP)
Sandwich/Laminates
(alloy/polymer/..glass/PVB/…)
Short/long fiber
reinforced polymers
(glass/PP)
3. Chracteristic structure of fiber reinforced plastics
Fiber size and geometry have significant
influence on the part performance.
Fibers show higher strength and stiffness
than material in bulk form
Fewer internal defects
Aligned crystalline structure
Strongly anisotropic tensile response
Typical stiffness ratio: 20:1 – 100:1
Fibers linear elastic, matrix non-linear
stress
stress
strain
dependence on fiber orientation
dependence on fiber content
UD perpendicular
strain
UD longitudinal
Slab longitudinal
Slab perpendicular
unreinfroced
ε
ε
GF45
GF30
Fiber
content
unreinforced
GF15
A thorough understanding of the
manufacturing process is extremely
important
4. Length scale and modeling techniques
Length scale
µ
[ ]
m [ ]
mm [ ]
cm
The modeling strategy is to be defined based on
the length scale
the effects to be capturde by the simulation
5. Agenda
Process simulation
Winding and Braiding
Draping
Thermoforming
Crashworthiness analysis
Short and long fiber reinforced plastics
Continuous fiber reinforced plastics
Mapping
Summary
7. Winding and Braiding
Exact positioning and orientation of fibers for complex geometries
Thorough planning of the manufacturing process is required
[ICD/ITKE, Uni Stuttgart] [IFB, Uni Stuttgart]
8. Winding and Braiding - Simulation
21 yarns
21543 beam elements
1 part
Simple rotation of the
fibers
Braiding core is pushed
through the braiding ring
9. Winding and Braiding - Simulation
84 yarns
174348 beam elements
3 parts
Half the elements used
as UD – reinforcement
Fibers are rotated and
then moved to create
the braiding-pattern
Braiding core is pushed
through the braiding ring
10. Winding and Braiding - Simulation
48 yarns
25236 beam elements
48 discrete elements
6 parts
Fibers are rotated and
then moved to create
the braiding-pattern
Braiding core is pushed
through the braiding ring
12. Warp and weft direction *MAT_LINEAR_ELASTIC_DISCRETE_BEAM
Diagonal behavior modeled with *MAT_CABLE_DISCRETE_BEAM
This approach allows to model positive and negative shear loading
Draping – Simulation with discrete elements
13. Material describes an orthotropic material behavior
Requires discretization with membrane elements
Allows to add a bending resistance by defining an additional elastic
Draping – *MAT_034 (*MAT_FABRIC)
14. *MAT_234 (*MAT_VISCOELASTIC_LOOSE FABRIC)
Micromechanical approach
Mathematical description for geometry and kinematic of symmetrical woven fabric
Looking angle is taken into account
Viscoelastic enhancement for higher shear strain
*MAT_235 (*MAT_MICROMECHANICS_DRY_FABRIC)
Micromechanical approach with homogenization strategy (RVE)
Mathematical description of symmetrical woven fabric
Looking angle is taken into account
Draping – *MAT_234 / *MAT_235
15. *MAT_249
Macroscopic, hyperelastic and anisotropic
material formulation
Up to three different fiber families can be defined
in any integration point
Stress-strain response for tension and compression
given as load curve
Non-linear elasto-plastic shear behavior also
defined be load curve input
Contains thermo-elasto-plastic material for
thermoplastic matrix
Draping – *MAT_249
19. Thermoplastic pre-pregs – process overview
Properties of thermoplastic matrix material
At high temperature, molten material behaves like a viscous fluid
At low temperature, material can be described as an elasto-plastic solid
Process overview
Process is reversible as no chemical curing occurs
Relatively short cycle times can be realized
heating positioning forming cooling final part
20. Thermoplastic pre-pregs – picture frame test
Standard experimental set-up to characterize shear behavior
Results show significant temperature dependence
At low temperature, matrix material dominates
At high temperature, behavior similar as for dry fabric material
sensor
frame
bearing
21. Thermoplastic pre-pregs – Validation
deformation
response
T
simulation
experiment
Picture frame test is simulated for different temperatures
Simulation result show good agreement with experimental data
Realistic non-linear shear behavior of fabric (highest temperature)
Effect of matrix curing with decreasing temperature is well captured
22. Agenda
Process simulation
Winding and Braiding
Draping
Thermoforming
Crashworthiness analysis
Short and long fiber reinforced plastics
Continuous fiber reinforced plastics
Mapping
Summary
24. Hyperelastic (total) formulation using Green-Lagrange strain E
Elastic-anisotropic behavior, stiffness matrix with 21 independent
coefficients:
Several possibilities to define material directions, e.g. AOPT,
ELEMENT_SOLID_ORTHO, …
No plasticity, no damage, no failure (but: brittle failure possible via
*MAT_ADD_EROSION)
Generation of
constitutive data
Anisotropic elastic solution with MAT_002_ANIS
25. *MAT_(ANISO)TROPIC_ELASTIC
Cij: constants in the 6x6 anisotropic constitutive matrix
AOPT: usual options to define the
material‘s coordinate system
ihis: flag for element-wise definition of the stiffness
tensor with *INITIAL_STRESS_SOLID
CARD #1 mid ro c11 c12 c22 c13 c23 c33
CARD #2 c14 c24 c34 c44 c15 c25 c35 c45
CARD #3 c55 c16 c26 c36 c46 c56 c66 aopt
CARD #4 xp yp zp a1 a2 a3 macf ihis
CARD #5 v1 v2 v3 d1 d2 d3 beta ref
26. CARD #1 eid nint nhisv large iveflg ialegp nthint nthhsv
CARD #2 sigxx sigyy sigzz sigxy sigyz
CARD #3 sigzx eps hisv1 hisv2 hisv3
CARD #4 hisv4 hisv5 hisv6 hisv7 hisv8
CARD #5 hisv9 hisv10 hisv11 hisv12 hisv13
CARD #6 hisv14 hisv15 hisv16 hisv17 hisv18
CARD #7 hisv19 hisv20 hisv21
*INITIAL_STRESS_SOLID
The matrix entries Cij are written onto the history variables per
integration point.
Setting ihisv=21 in MAT_002 will take into account the fully
anistropic stiffness tensor
(e.g. hisv#1 – hisv#21 have to be defined in DYNAIN for instance)
27. Direct input in material card
Drawback: inhomogeneous distribution (e.g. from previous short fiber
filling simulation) in component needs individual part definition for every
element
Initialization with *INITIAL_STRESS_SOLID (new option in next
Release R7.1)
Only one part definition for whole component. Anisotropic coefficients are
part of material‘s history field and can therefore be initialized for each
integration point individually.
Anisotropic elastic solution with MAT_002_ANIS
29. intralaminar
interlaminar
- cohesive elements
- tiebreak contacts
layered thin
shell element
layered thin shell elements
+ numerical „cheap“ (thickness has no
influence on critical time step size)
+ combination of single layers to
sublaminates
- no stresses in thickness dir.
layered thick shell elements
+ 3D stress state
+ combination of single layers to sub-
laminates
- thickness influences the critical time
step size
solid elements
+ 3D stress state
- one element for every single layer
numerical „expensive“
cohesive element
layered thin
shell element
Domposite damage – modeling aspects
30. Listing of integration
points begins from the bottom
*PART_COMPOSITE(_TSHELL)
1 2 3 4 5 6 7 8
Card 1
PID ELFORM SHRF NLOC MAREA HGID ADOPT
28 2 0.0 0.0
Card 2
MID1 THICK1 BETA1 MID2 THICK2 BETA2
1 0.2 0.0 2 0.4 45.0
Card 3
MID3 THICK3 BETA3 MID4 THICK4 BETA4
3 0.2 90.0
…
0.2
0.4
0.2
0.0°
45.0°
90.0°
IP 1
IP 2
IP 3
Ply definition with *PART_COMPOSITE(_TSHELL)
Part-wise definition of lay-ups
No *SECTION_SHELL-keyword card needed
Material models, thicknesses and
angles are defined for each layer
Add as many cards as necessary
31. Listing of integration
points begins from the bottom
0.2
0.4
0.2
0.0°
45.0°
90.0°
IP 1
IP 2
IP 3
Ply definition with *ELEMENT_(T)SHELL_COMPOSITE
Element-Wise definition of lay-ups
*SECTION_SHELL-keyword is needed
Material models, thicknesses and
angles are defined for each layer
Add as many cards as necessary
Allows the definition of different
lay-ups within one part
1 2 3 4 5 6 7 8 9 10
Card 1 EID PID N1 N2 N3 N4 N5 N6 N7 N8
1 2 3 4 5 6 7 8
Card 2
MID1 THICK1 BETA1 MID2 THICK2 BETA2
1 0.2 0.0 2 0.4 45.0
Card 3
MID3 THICK3 BETA3 MID4 THICK4 BETA4
3 0.2 90.0
…
*ELEMENT_(T)SHELL_COMPOSITE
34. *MAT_058: (*MAT_LAMINATED_COMPOSITE_FABRIC)
plane stress
Hashin failure criteria: fiber tension/compression,
matrix tension/compression
exponential damage model
*MAT_059: (*MAT_COMPOSITE_FAILURE_Option_MODEL)
Option: SHELL/SOLID
LS-DYNA: Available models for composite structures
35. *MAT_261: (*MAT_LAMINATED_FRACTURE_DAIMLER_PINHO)
Coupled failure criterion based on 3D-stress state
complex 3D-fibre kinking model
Matrix failure invokes search for controlling
fracture plane
linear softening law based on fracture toughness
1D-plasticity-model (mixed hardening)
for in-plane shear behavior defined by load curve
LS-DYNA: New models for composite structures
Longitudinal compressive fracture
1
3
Transverse compressive fracture
2
3
Transverse tensile fracture
2
Longitudinal tensile fracture
3
1
36. *MAT_262: (*MAT_LAMINATED_FRACTURE_DAIMLER_CAMANHO)
Coupled failure criterion based on 2D-stress state
Constant fiber misalignment angle based on
shear and longitudinal compressive strength
Matrix failure with fixed planes
(Bi-)linear softening law based on fracture toughness
1D-plasticity-model (linear mixed hardening)
for in-plane shear behavior
LS-DYNA: New models for composite structures
Longitudinal compressive fracture
1
3
Transverse compressive fracture
2
3
Transverse tensile fracture
2
Longitudinal tensile fracture
3
1
SL
G
l
12
ε
12
σ
L
S
38. Comparison of different material models
1-Element-Test, Single-Layer (‚SHELL‘, ELFORM=2)
Cyclic test with a +/-45°layup (A-M)
0.0 0.05 0.10 0.15
0.15
0.05
-0..05
-0.10
-0.15
0..00
0.10
SL=0.149
Stress-AB
SIGY=0.115
Strain-AB
39. three point bending of a hat profile
matrix failure
single shell with a thickness of 2mm / carbon fibers in epoxy resin
- [90°
/0°
/45°
/-45°
/0°
/90°
/-45°
/45°
/0°
/90°
]
Shell sublaminates
Local failure
Interfaces
Local failure
Preliminary results
40. shear specimen
single shell with a thickness of 2mm / carbon fibers in epoxy resin
- [45°
/-45°
]3S
Experiment Simulation
Shear plasticity
tensile
test
Preliminary results
41. Crashsimulation –
Komponenten (Bsp.
Batteriebox)
Fortschritt: systematische
Modellvalidierung zeigt
gute Übereinstimmung von
Versuch und Simulation
CT: Evaluation of damage
Versuch
*MAT_054
*MAT
(DAIMLER_PINHO)
*MAT_054
Pinho
CFRP Box, Carbon-Epoxy
Preliminary results
42. Agenda
Process simulation
Winding and Braiding
Draping
Thermoforming
Crashworthiness analysis
Short and long fiber reinforced plastics
Continuous fiber reinforced plastics
Mapping
Summary
43. Producibility Serviceability
GMT, SMC, BMC
LMC or Prepreg??
Anisotropy and inhomogeneity Anisotropy and inhomogeneity
Const.
model
mapping
Geometrical
mapping
Modeling technique
Mapping between producibility and serviceability
Different applications use different modeling techniques, constitutive models,
standards and validation procedures.
44. Producibility Serviceability
Mapping between producibility and serviceability
Source: Braiding Simulation
Target: Crash structure discretized with shell elements
IP - 1
IP - 2
AOPT = 0
IP1
IP2
IP3
IP4
n1 n2
n3
n4
βi
a
v
Fiber orientation defined by
beam elements
Structure organized in different
parts
45. Producibility Serviceability
Mapping between producibility and serviceability
Source: Draping Simulation with beam elements
Target: Crash structure discretized with shell elements
AOPT = 0
IP1
IP2
IP3
IP4
n1 n2
n3
n4
βi
a
v
Fiber orientation defined by
beam elements
Each part defines a different fiber
family
IP - 1
IP - 2
IP - 3
IP - 4
46. Producibility Serviceability
Mapping between producibility and serviceability
Source: Draping Simulation with beam elements
Target: Crash structure discretized with shell elements
Draping with *MAT_249
Fiber directions are internal
variables of the material
formulation
47. Agenda
Process simulation
Winding and Braiding
Draping
Thermoforming
Crashworthiness analysis
Short and long fiber reinforced plastics
Continuous fiber reinforced plastics
Mapping
Summary
48. Process simulation with LS-DYNA
Tailored modeling techniques for different length scales
Examples for winding, braiding and draping processes
New thermo-mechanical material model for thermoplastic prepregs
Serviceability
New features for short and long fiber reinforced plastics
(work in progress)
A variety of different material models for simulation of continuous fiber
reinforced plastics
Mapping
Between different length scales
Between different modeling approaches
Summary
49. Thank you very much for your attention!
stefan.hartmann@dynamore.de
thomas.kloeppel@dynamore.de
christian.liebold@dynamore.de
Acknowledgement
The research leading to these results has received funding from the Federal Ministry of
Education and Research in the project “T-Pult” and from the Federal Ministry for Economic
Affairs and Energy (Central Innovation Program SME) in the project “Swim-RTM”.
50. Dr. Jan Seyfarth
Product Manager Digimat
Email: Jan.Seyfarth@e-Xstream.com
Mobile: +49 (0)176 / 70 55 47 59
Process Chain Modeling
Composite Materials April 2014
51. • Who are we...? A MSC Software Company!
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52. • Worldwide Partner Network
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64. 15
UD Composites
Analysis control by damage evaluation
Progressive Failure
Highlights 5.0.1
Maximum damage
variable
= Early stop
(Free) Energy
dissipation
= Good
compromise
All damage variables
= Late/No stop
79. 30
STRUCTURAL MODEL
Prerequisites
• The structural model must be complete and ready to run
with the targeted FEA code
• The regions of the structural FEA model where a Digimat
material is to be used must have a specific material
assigned
– If several different Digimat materials are to be used, then
each associated region must have its own unique material
Limitations
• 3D solid elements
• Bi-phase Digimat materials only
• No advanced output management
Workflow
Digimat-RP
RP acts
upon the
material
model of
an existing
FEA input
deck!
83. 34
Short ( long) fiber reinforced plastics
• Levels of quality
– Choice between the effort to set up the
material model and accuracy of results
Capabilities
Digimat-RP
84. 35
Short ( long) fiber reinforced plastics
• Levels of quality
– Choice between the effort to set up the
material model and accuracy of results
Capabilities
Digimat-RP
85. 36
Short ( long) fiber reinforced plastics
• Input
– Encryption/Decryption of material properties
fully supported
Internal
• Generic grades
» Linear elastic
From Tools
• Digimat-MX
– Material suppliers’ grades
– Generic grades
» (Thermo-) Linear elastic
» (Thermo-) Elastoplastic
From File
• Digimat-MF (.daf)
– Build, save use material model
» Any type
• Digimat-CAE (.mat)
– Re-use previous analyses
» Any type
– Use encrypted
» Any type
Capabilities
Digimat-RP
86. 37
Short ( long) fiber reinforced plastics
• Performances
NVH
E - Linear Elastic
Stiffness (quasi-static)
E/EP - Linear elastic / Elastoplastic
TE/TEP - Temperature dependent
Impact Failure
VE/EVP - Viscoelastic / Elasto-Viscoplastic
+ FPGF - Failure of SFRP
(Thermal) Creep
VE / TVE - Viscoelastic
EVP / TEVP - Elasto-Viscoplastic
Capabilities
Digimat-RP
87. 38
Short ( long) fiber reinforced plastics
• Solution Methods
– Choice between accuracy of results and
performance of the computation (CPU)
MACRO
• Linear elastic weak coupling
• High efficiency in CPU
MICRO
• Nonlinear strong coupling
• Highest accuracy in stiffness
HYBRID
• Nonlinear weak coupling
• High efficiency in CPU
• High accuracy in stiffness
– E, EP, EVP, TE, TEP
• Highest accuracy in failure of SFRP
Capabilities
Digimat-RP
90. 41
Capabilities
Digimat-RP
Summary
FEA
• Marc, MSC Nastran (SOL400 /700), Abaqus (Standard/Explicit), Ansys, LS-Dyna (Implicit/Explicit)
Material
• Generic / File (.daf .mat) / Digimat-MX / Digimat-MF
• Support of encryption
Solutions
• Macro, Micro, Hybrid + User defined templates
Manufacturing
• Moldflow3D, Moldex3D, Sigmasoft, Timon3D
Job management (submission monitoring)
April 2014
91. 42
Further Information
Personal Contact
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April 2014