Please find our presentation for the SPE ABC 2017: FEA based realistic simulation for packaging qualification.
Please do not hesitate to contact us if you would like to discuss any particular topic in detail.
We are happy to share our Simulia South Regional Users Meeting presentation which explains the elastic- plastic fatigue analysis using Simulia Solutions Abaqus and fe-safe of a simplified HPHT cladded body for cyclic loading.
The residual stresses from the cladding process is simulated, and then the hydrotest is simulated on the cladded component.
If you are interested, we would be more than happy to discuss the contents with you in more detail.
VIAS undertook a design optimization study to optimize the design of a modular steel-plate composite (SC) primary shield wall (PSW). This PSW is used for support and protection of nucear reactor pressure vessel. Using initial design variables and non-linear material models, 3D FEA model was simulated. Using process automation, Response Surface method was implemented by automating 35 FEA runs. This study resulted in optimized dimensions for the PSW.
With the advent of efficient and robust numerical analysis techniques such as finite element analysis (FEA) and the increased computing power of today’s hardware solutions, it has become practical to simulate thermo-mechanical behaviors of plastics and rubbers that can capture the physical reality of such materials with high fidelity. Replicating physical behavior of highly complex and non-linear materials such as plastics have positioned FEA tools to create life like models that will behave like the real part or product. Such simulation can compare very well with the physical test. Therefore, using FEA techniques one can perform virtual testing to design plastic products and also can use simulation techniques to optimize design based on a mathematically robust approach instead of heuristic, experience based approach only. Using FEA one can address the needs of the product development lifecycle from concept through detailed design capturing realistic simulation of underlying complex physics.
We are a Houston based Dassault Systemes partner providing software solutions, training and Finite Elements Analysis(FEA) / Computational fluid dynamics(CFD) based consulting services.
Abaqus Knee Simulator (AKS) is an automated modeling tool for building advanced knee implant simulations based on a validated framework.The current work describes the workflows with various aspects of knee implant design evaluation.
VIAS conducted a recent study involving the design qualification an Earthquake-Resistant Ductile Iron Pipe (ERDIP) joint against seismic events using simulation. Validation of the FEA model was performed using physical test data for a small diameter pipe joint. Further analysis was carried out wherein the pipe-soil interactions and the pipe-joint behaviors were represented by sets of non-linear springs. A stretch of the pipeline consisting of many pipe joints was undertaken to ascertain integrity under seismic fault movement conditions. The pipeline was acted upon by a fault rupture at specified azimuth angles and fault length. The simulation predicted that the pipe joints would meet the design criteria if the fault azimuth angle was within a certain threshold.
We are happy to share our Simulia South Regional Users Meeting presentation which explains the elastic- plastic fatigue analysis using Simulia Solutions Abaqus and fe-safe of a simplified HPHT cladded body for cyclic loading.
The residual stresses from the cladding process is simulated, and then the hydrotest is simulated on the cladded component.
If you are interested, we would be more than happy to discuss the contents with you in more detail.
VIAS undertook a design optimization study to optimize the design of a modular steel-plate composite (SC) primary shield wall (PSW). This PSW is used for support and protection of nucear reactor pressure vessel. Using initial design variables and non-linear material models, 3D FEA model was simulated. Using process automation, Response Surface method was implemented by automating 35 FEA runs. This study resulted in optimized dimensions for the PSW.
With the advent of efficient and robust numerical analysis techniques such as finite element analysis (FEA) and the increased computing power of today’s hardware solutions, it has become practical to simulate thermo-mechanical behaviors of plastics and rubbers that can capture the physical reality of such materials with high fidelity. Replicating physical behavior of highly complex and non-linear materials such as plastics have positioned FEA tools to create life like models that will behave like the real part or product. Such simulation can compare very well with the physical test. Therefore, using FEA techniques one can perform virtual testing to design plastic products and also can use simulation techniques to optimize design based on a mathematically robust approach instead of heuristic, experience based approach only. Using FEA one can address the needs of the product development lifecycle from concept through detailed design capturing realistic simulation of underlying complex physics.
We are a Houston based Dassault Systemes partner providing software solutions, training and Finite Elements Analysis(FEA) / Computational fluid dynamics(CFD) based consulting services.
Abaqus Knee Simulator (AKS) is an automated modeling tool for building advanced knee implant simulations based on a validated framework.The current work describes the workflows with various aspects of knee implant design evaluation.
VIAS conducted a recent study involving the design qualification an Earthquake-Resistant Ductile Iron Pipe (ERDIP) joint against seismic events using simulation. Validation of the FEA model was performed using physical test data for a small diameter pipe joint. Further analysis was carried out wherein the pipe-soil interactions and the pipe-joint behaviors were represented by sets of non-linear springs. A stretch of the pipeline consisting of many pipe joints was undertaken to ascertain integrity under seismic fault movement conditions. The pipeline was acted upon by a fault rupture at specified azimuth angles and fault length. The simulation predicted that the pipe joints would meet the design criteria if the fault azimuth angle was within a certain threshold.
Fused deposition modelling (FDM) has become a prevalent technique to additively manufacture polymer that can provide design freedom and creativity. However, like any other AM technologies, FDM has its own challenges. The inherent void, surface roughness and dimensional accuracy during manufacturing can lead to tolerance rejection, cracking or failure during the product life. Also, the resultant anisotropic material properties are inherent in the layer-by-layer manufacturing features. Therefore, it is important to understand and simulate FDM process, in which complex thermo-mechanical interaction takes place due to rapid heating/cooling.
The current work will first provide a brief overview of the current polymer AM simulation solutions, validation protocols, and standardization efforts. Secondly, a simulation framework using Abaqus will be presented to replicate the FDM process that can provide insight into how the process parameters affect product quality. Currently, simulation solutions has the capability to model the polymer extrusion process with that can capture the layer-by-layer element activation feature and varying free surface in heating and cooling. Finally, an example study will be presented to show how modifying process parameters such as raster angle, contour width and layer thickness affect the transient thermal, deformation and residual stress field. Accordingly, optimal processing parameters can be identified based on the criterion of minimizing distortion and residual stresses.
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SAIJRES Journal
To improve the corrosion resistant properties of carbon steel usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long term reliability and performance. By cladding these properties can be achieved with minimum cost. The main problem faced on cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, contact tip to work distance and pinch) to get optimum dilution in stainless steel cladding of low carbon structural steel plates using Gas Metal Arc Welding (GMAW). Experiments were conducted based on central composite rotatable design with full replication technique and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. In this study, Artificial Neural Network (ANN) and Simulated Annealing Algorithm (SA) techniques were integrated labels as integrated ANN-SA to estimate optimal process parameters in GMAW to get optimum dilution.
FE Analysis for Investment Casting and Computer Simulation: A Reviewijsrd.com
In the present paper a review for the experimental and finite element analysis techniques is adopted for Investment casting. Experimental Data taken for Solidification of investment Casting is modeled and meshed initially then validation is followed by comparing the experimental and modeled results. This helps to optimize the design criteria for investment casting. To overcome the problem of current gating /riser system and by comparing simulation results of optimized casting model with that of original model we can reduce the shrinkage porosity.
Simulation can help in both design and process optimization for additive manufacturing industry by getting the product right the first time. Cost saving by reducing print iterations can be tremendous. The presentation covers some overview of the AM industry and specifically discusses both metal and polymer AM simulation solutions.
Fused deposition modelling (FDM) has become a prevalent technique to additively manufacture polymer that can provide design freedom and creativity. However, like any other AM technologies, FDM has its own challenges. The inherent void, surface roughness and dimensional accuracy during manufacturing can lead to tolerance rejection, cracking or failure during the product life. Also, the resultant anisotropic material properties are inherent in the layer-by-layer manufacturing features. Therefore, it is important to understand and simulate FDM process, in which complex thermo-mechanical interaction takes place due to rapid heating/cooling.
The current work will first provide a brief overview of the current polymer AM simulation solutions, validation protocols, and standardization efforts. Secondly, a simulation framework using Abaqus will be presented to replicate the FDM process that can provide insight into how the process parameters affect product quality. Currently, simulation solutions has the capability to model the polymer extrusion process with that can capture the layer-by-layer element activation feature and varying free surface in heating and cooling. Finally, an example study will be presented to show how modifying process parameters such as raster angle, contour width and layer thickness affect the transient thermal, deformation and residual stress field. Accordingly, optimal processing parameters can be identified based on the criterion of minimizing distortion and residual stresses.
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SAIJRES Journal
To improve the corrosion resistant properties of carbon steel usually cladding process is used. It is a process of depositing a thick layer of corrosion resistant material over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long term reliability and performance. By cladding these properties can be achieved with minimum cost. The main problem faced on cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, contact tip to work distance and pinch) to get optimum dilution in stainless steel cladding of low carbon structural steel plates using Gas Metal Arc Welding (GMAW). Experiments were conducted based on central composite rotatable design with full replication technique and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. In this study, Artificial Neural Network (ANN) and Simulated Annealing Algorithm (SA) techniques were integrated labels as integrated ANN-SA to estimate optimal process parameters in GMAW to get optimum dilution.
FE Analysis for Investment Casting and Computer Simulation: A Reviewijsrd.com
In the present paper a review for the experimental and finite element analysis techniques is adopted for Investment casting. Experimental Data taken for Solidification of investment Casting is modeled and meshed initially then validation is followed by comparing the experimental and modeled results. This helps to optimize the design criteria for investment casting. To overcome the problem of current gating /riser system and by comparing simulation results of optimized casting model with that of original model we can reduce the shrinkage porosity.
Simulation can help in both design and process optimization for additive manufacturing industry by getting the product right the first time. Cost saving by reducing print iterations can be tremendous. The presentation covers some overview of the AM industry and specifically discusses both metal and polymer AM simulation solutions.
Riccardo Bianco
Topology optimization - Altair suite
tecnologia, scenari e scelte strategiche per la transizione digitale dell'industria manifatturiera
Development of new products is extremely essential for the success and smooth running of every industry. Companies have to constantly inject innovations and design efforts to make the design processes easy and to attract consumers in a constantly in a evolving and highly competitive market with best quality . Keeping ahead of the competition by bringing new and exciting products to market fast, and at the necessary level of quality, presents a major engineering challenge. A new casting bracket in place of old stamping brackets in snowmobile chassis development process is described, which introduces advanced FEM and Optimization technology into the concept development phase. Detailed predictions of interacting parts in a mechanism assembly are made possible through use of value engineering based process and material selection and advanced simulation technology. Design optimization is then employed using the modeling as a virtual testing ground for design variants. The approach provides clear design direction and helps to improve performance and reduce the unnecessary welding efforts of bracket manufacturing. Design is an intelligent activity that begins with design requirements and ends with a product description. Using Altair Optistruct was able to significantly reduce design time by sub modeling with structural optimization. The resultant casting bracket design showed superior performance characteristics. And finely the manufacturer had to put less efforts in stamping and part welding , which reduced the manufacturing time and cost also.
Additive manufacturing (AM) or 3D printing is maturing rapidly as a viable solution of make optimized parts for “real engineering” applications. The freedom of design that is achievable using AM process is un parallel in terms of reducing structural weight, reducing material cost, generating complex shapes and connections and introducing directional properties in a component. However, understanding of AM process and utilizing process parameters to optimize a design comes with many challenges. Currently, one of the emphasize is to use physics based realistic simulation to replicate the AM process numerically and relate process parameters to the concept of functional generative design that relates design with manufacturing process.
Current work, through a typical build example, discusses an integrated numerical solution on a digital platform that involves the following.
Generative Design involving topology optimization that creates parts in context of the manufacturing process and automatically generate variants of conceptual and detailed organic shapes that helps make informed business decisions based on physics-based analytic tools. Process planning that defines and customizes manufacturing environment including nesting parts automatically on the build tray, designing and generating optimal support structures, and creating machine specific slicing and scan path which is ready for print. Process simulation that automatically includes machine inputs for energy, material and supports into the simulation at layer, part and build levels for any additive manufacturing process and accurately predicts part distortions, residual stresses and as-built material behavior. Finally, the platform involves post processing to perform shape optimization where simulation is used to guide support-structure strategy for enhanced build yield, compensate distortion effects without the need to redesign the product tooling, produce high-quality morphed surface geometry with unchanged topology, and perform final in-service performance validations of manufactured part.
We Plast-pro having very qualified and well experienced professionals to understand and fulfill client’s requirements at its best level. We are offering some services by collaborating with experts in that domain and these experts guide & trained us to provide best and perfect services for our customers.
This 5 day training course reviews the fundamentals of Casing Design and builds on them to address well design challenges associated with deep, extended reach, HPHT and
deepwater wells.
Participants will review the theories of both uniaxial and triaxial pipe strength as per API Bulletin 5C3 and ISO/TR 10400, the implications of manufacturing standards and tolerances as per API Specification 5CT and the impact of downhole environmental conditions.
Process of Integration the Laser Scan Data into FEA Model and Level 3 Fitness-for-Service Assessment of Critical Assets in Refinery & Process Industries
From customer value engagements to hands-on production support, our Services span across every stage of our customers digital transformation journey, to help ensure that every customer is successful in their adoption of our solutions.
• Implementation, Upgrade, Migration, and Maintenance Services
• On-Premises and On-Cloud
• COTS Training Services; On-Site and Virtual
• Software Support Services; Legacy and 3DEXPERIENCE
• Value Engagement & Blueprinting
• Specialized Consulting and Support Services
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The permeation on thin walls is a mass diffusion problem in a long-term time domain.
The application of mass diffusion analysis is limited to continuum modeling, which is not feasible to be used for thin walls, where shell elements are needed.
However, the analogy with the heat transfer governing equations allows the FE analyst to simulate the physics of the permeation problem to overcome this limitation with the proper mathematical modeling.
The objective is to develop a methodology using finite element analysis (FEA) for the shelf life of a beverage based on permeation of CO2 through a Polyethylene Terephthalate (PET) bottle wall.
To find out how we can help you with your ROI using modeling and simulation, please contact us and out consulting division can arrange a 30 minute complimentary call.
Lithium-ion batteries are currently used in EVs due to their fast-charging rate enabled by high energy density and cell voltage.
The high energy stored in EV battery packs translates to a higher probability of fire in the battery compartment due to an automotive crash. Crash test of the battery pack is typically performed to verify the safety performance of the battery under the specified loading conditions.
The work presents a virtual crash test approach to comply with regulations while designing a battery pack.
Contact us for more details on how we can help with our consulting based approach.
Digital twins represent the shape of physical objects in 3D.
A virtual twin experience starts with designing a 3D model that represents the shape, dimensions and properties of a physical product or system. Simulations are run on that virtual model to explore how the product will behave when assembled, operated or subjected to a range of events.
The presentation elaborates through practical examples and software solutions how modeling and simulation can aid in having better products to market faster in the era of digitalization.
If you have further interest contact us to know more and see how we can help with a consulting based approach.
The aim of this study is to create a FEA model to make a relative comparison between two implant tray materials (Co-Cr-Mo and Ti-Al) at the tibia-implant interface under the constant loading condition with the help of patient-specific bone microstructure using a representative volume element (RVE).
Using the study,
Was able to accurately evaluate designs under different conditions leading to more tailored, patient-specific implants.
Using numerical modeling, it was possible to improve product performance by comparing various design options.
Able to reduce the number of material testing and lead time reduction.
The presentation describes how to integrate Laser Scan Data into FEA Model and Perform Level 3 Fitness-for-Service Assessment of Critical Assets in Refinery & Process Industries. It also, talks about an engineer friendly plugin that helps in the data import with insights from the asset owners and FEA consultants.
Finite Element Analysis is used to simulate crushing of an automotive battery pack as per ISO 12405-3:2014 standard and crashworthiness performance of the battery pack was performed to optimize the structure.
The following presentation describes the use of numerical simulation to optimize the shape, elasticity and volume of the compensation chamber in an axial pump while minimizing pressure peaks.
Presentation shows through a numerical example of a BOP model how to optimize a critical subsea component using the SIMULIA Power of Portfolio components for fatigue (fe-safe) and reliability (Isight).
The current work focuses on simulation based optimization of a complex, safety critical component where it is prohibitively expensive to carry out finite element analysis (FEA) simulations for all possible sample realizations and therefore requires statistical or machine learning techniques for a timely yet accurate solution. The applicability of machine learning further brings the opportunity of performing in-service monitoring using sensor data and thereby performing predictive maintenance.
More from Arindam Chakraborty, Ph.D., P.E. (CA, TX) (20)
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.
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.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(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.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.