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.
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.
SLS(Experimental setup and working process)
SOME 3D MODELS
INPUT PARAMETERS
COMMONLY USED POWDER MATERIALS
ADVANTAGES
LIMITATIONS
APPLICTIONS
CASE STUDY I
CASE STUDY II
CONCLUSION
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.
SLS(Experimental setup and working process)
SOME 3D MODELS
INPUT PARAMETERS
COMMONLY USED POWDER MATERIALS
ADVANTAGES
LIMITATIONS
APPLICTIONS
CASE STUDY I
CASE STUDY II
CONCLUSION
Rapid prototyping (RP)
Definition
Rapid prototyping is a layer based automated fabrication process for making scaled 3-dimentional (3D) physical objects directly from 3D computer-aided design (CAD) data without using part depending tools.
More concisely, it is a process of building a prototype in one step.
Construction of the part or assembly is usually done using 3D printing or “additive layer manufacturing” technology.
Historical development
The first method for rapid prototyping became available in the late 1980s and was used to produce models and prototype parts.
Historical development
In today’s industry, RP exceeding the scope of prototype model creation, expands the possibility of the layered manufacturing, into the next level, where parts for real-world engineering applications are fabricated.
Historical development
Titanium powder-based 3D printing technology is reported recently with many successful stories.
For example, a 3D-printed bike has been fabricated with the Titanium powder.
Additive manufacturing file formats or 3D file formatsAmolGilorkar
STL is the most commonly used 3D file format. But due to its limitations many file formats are developed such as AMF, OBJ, 3MF, VRML etc. In this ppt i discuss STL and AMF file formats only in brief.
Additive manufacturing, more professionally called rapid prototyping will bring us to a new reality of unusual and customizable object production. It involves the creation of a three dimensional object by laying down successive layers of materials. An automated method whereby 3D objects of realistic size are swiftly made on a reasonable sized machine connected to a computer containing blueprints for the objects. These physical working models are produced from a digital file by printing layer by layer. It helps to make substantial models of objects either designed using a CAD program or scanned using a 3D scanner. This ground-breaking method for creating models with the use of inkjet expertise saves time and cost by eliminating the need to design; print and amalgamate together separate model parts. Objects with different colors and multiple materials can be made out of these printers. This technology is not only used for prototyping but also helps in manufacturing right from home. It is used in a variety of industries including footwear, architecture, medical, aerospace, engineering and construction, and a number of consumer products. This industrial revolution bridges a gap between the cyberspace and the physical world and is therefore likely to play some part in all our futures.
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.
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.
Rapid prototyping (RP)
Definition
Rapid prototyping is a layer based automated fabrication process for making scaled 3-dimentional (3D) physical objects directly from 3D computer-aided design (CAD) data without using part depending tools.
More concisely, it is a process of building a prototype in one step.
Construction of the part or assembly is usually done using 3D printing or “additive layer manufacturing” technology.
Historical development
The first method for rapid prototyping became available in the late 1980s and was used to produce models and prototype parts.
Historical development
In today’s industry, RP exceeding the scope of prototype model creation, expands the possibility of the layered manufacturing, into the next level, where parts for real-world engineering applications are fabricated.
Historical development
Titanium powder-based 3D printing technology is reported recently with many successful stories.
For example, a 3D-printed bike has been fabricated with the Titanium powder.
Additive manufacturing file formats or 3D file formatsAmolGilorkar
STL is the most commonly used 3D file format. But due to its limitations many file formats are developed such as AMF, OBJ, 3MF, VRML etc. In this ppt i discuss STL and AMF file formats only in brief.
Additive manufacturing, more professionally called rapid prototyping will bring us to a new reality of unusual and customizable object production. It involves the creation of a three dimensional object by laying down successive layers of materials. An automated method whereby 3D objects of realistic size are swiftly made on a reasonable sized machine connected to a computer containing blueprints for the objects. These physical working models are produced from a digital file by printing layer by layer. It helps to make substantial models of objects either designed using a CAD program or scanned using a 3D scanner. This ground-breaking method for creating models with the use of inkjet expertise saves time and cost by eliminating the need to design; print and amalgamate together separate model parts. Objects with different colors and multiple materials can be made out of these printers. This technology is not only used for prototyping but also helps in manufacturing right from home. It is used in a variety of industries including footwear, architecture, medical, aerospace, engineering and construction, and a number of consumer products. This industrial revolution bridges a gap between the cyberspace and the physical world and is therefore likely to play some part in all our futures.
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.
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.
DesignTech Systems is a leading Engineering Services including CAD / CAE provider from India. Based out of Pune, India DesignTech specializes in providing mechanical engineering and product design analysis services including CAD and CAE Services to companies from cross vertical domains.
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.
Madison Park Group - Engineering & Design Software M&A Market Update - H1 2018Madison Park Group
We are pleased to present our review of the engineering & design software market for the first half of 2018.
Madison Park Group is a unique investment banking firm that takes a "strategy first" approach to advising software companies. Our partners have developed and advised numerous successful companies as operators, investors and investment bankers.
Michael Magruder and Ralph Verrilli spearhead the firm's efforts in the engineering & design software market.
ARC's Greg Gorbach Rapid Product Innovation Presentation @ ARC Industry Forum...ARC Advisory Group
Rapid Product Innovation: Improving Processes for Production System Design Implementation and Design, Implementation, Operations
ARC's Greg Gorbach Rapid Product Innovation Presentation @ ARC Industry Forum 2010 in Orlando, FL.
For certain manufacturing segments (especially discrete and portions of hybrid), introducing new products or improving the manufacturing process usually requires creating or modifying production systems. Many production system problems are not discovered until late in the design/implementation process, which introduces delays and cost. Once in operation, virtual reference models, if available, could aid in performance monitoring, process optimization, problem diagnosis, operator training, and continuous improvement
Today's fast paced product market has shorter lifecycles and tighter budgetary concerns. Tolerance analysis software provides an ideal solution to reduce the number of crucial steps needed to optimize a product at the design step itself. 3DCS Variation Analyst is the world's most used tolerance analysis software that is fully integrated into NX/ CATIA V5/ Creo and CAD Neutral Multi-CAD. 3DCS Variation Analyst is designed to use a consistent format and set of mathematical formulae that create reliable results, enabling engineers to gain a complete insight into their design. The software empowers design engineers to control variation and optimize their designs to account for inherent process and part variation, which in turn reduces non-conformance, scrap, rework and other associated costs.
3DCS Variation Analyst
Used by the world’s leading manufacturing OEM’s to reduce the cost of quality, 3DCS Variation Analyst comes in two flavours:
1) 3DCS Variation Analyst (NX / CAA V5 or Creo Based) is an integrated solution for NX / CATIA V5 or Creo. Since it is an integrated solution, users can not only activate 3DCS workbenches from within the modelling solution, they can use many of its inbuilt functionality to support their modelling.
3DCS Variation Analyst provides three analysis methods:
Monte Carlo Analysis
High-Low-Mean (Sensitivity Analysis) and
Geofactor Analysis (Relationship)
Continuously improving factory operations is of critical importance to manufacturers. Consider the facts: the total cost of poor quality amounts to a staggering 20% of sales (American Society of Quality), and unplanned downtime costs plants approximately $50 billion per year (Deloitte).
The most pressing questions are: which process variables effect quality and yield and which process variables predict equipment failure? Getting to those answers is providing forward thinking manufacturers a leg up over competitors.
The speakers address the data management challenges facing today's manufacturers, including proprietary systems and siloed data sources, as well as an inability to make sensor-based data usable.
Integrating enterprise data from ERP, MES, maintenance systems, and other sources with real-time operations data from sensors, PLCs, SCADA systems, and historians represents a major first step. But how to get started? What is the value of a data lake? How are AI/ML being applied to enable real time action?
Join us for this educational session, which includes a view into a roadmap for an open source industrial IoT data management platform.
Key Takeaways:
• Understand key use cases commonly undertaken by manufacturing enterprises
• Understand the value of using multivariate manufacturing data sources, as opposed to a single sensor on a piece of equipment
• Understand advances in big data management and streaming analytics that are paving the way to next-generation factory performance
MPG Engineering, Design, PLM, and Simulation Software Market Update - 2019Madison Park Group
We are pleased to present our review of the engineering software market for 2019.
Madison Park Group is a unique investment banking firm that takes a "strategy first" approach to advising software companies. Our partners have developed and advised numerous successful companies as operators, investors and investment bankers.
Ralph Verrilli, Michael Magruder, and Sean Stouffer spearhead the firm's efforts in the space.
CATIA Integrated Tolerance Analysis - 3DCS for CATIA V5Benjamin Reese
3DCS Variation Analyst CAA V5 Based Software is used by manufacturers across the globe for Tolerance Analysis to reduce scrap, rework and warranty claims.
3DCS Variation Analyst CAA V5 Based (3DCS for V5) is an integrated software solution in CATIA V5 that simulates product assembly and part tolerance 3D stack-ups through Monte Carlo Analysis and High-Low-Mean (Sensitivity) Analysis.
Model Part and Process Variation - How does it work?
Use CATIA FTA - Embedded GD&T3DCS for V5 uses three methods of simulation; Monte Carlo Simulation, High-Low-Mean (Sensitivity analysis) and GeoFactor Analysis. These together highlight the sources of variation as well as potential build issues in the product.
By accurately modeling the build process, users can determine how their process will affect the assembly in addition to their part tolerance stack-up. This together essentially creates a virtual prototype that can be used to make decisions about design changes and tooling while reducing scrap and rework.
Learn more at: http://www.3dcs.com/tolerance-analysis-software-and-spc-systems/3dcs-software/catia-v5-integrated
DesignTech Systems Ltd. is a leading CAD / CAM / CAE / PLM Solutions, Additive Manufacturing technologies, and Engineering Services provider from India. With more than 19 years of experience we have been working with companies from cross vertical domains from India and overseas to support them in their most complex and challenging engineering initiatives while helping them derive best returns on their investments.
DesignTech Systems is the only Platinum Partner for Siemens PLM Software in India, and have also forged strategic tie-ups with global leaders such as Altair Engineering for their HyperWorks suite of solutions, Stratasys 3D Printing Technology, ESI Casting and Welding Simulation software, MathWorks for MATLAB and SIMULINK, SLM Metal 3D Printing technology, and Solidscape high precision 3D Printing solutions.
Besides that, we also provide the Product design and development services or engineering services at every stage of product lifecycle starting from concept development, 3D Modelling and validation, product design analysis and simulation, to developing interactive 3D technical documentations. Catering to the product development and mechanical companies from industry segments such as Automotive, Aerospace and Defence, Industrial Machinery, Heavy Engineering, Electromechanical and consumer goods, and Power and Energy. Our clientele pans across North America, Europe and Asia.
Moreover, DesignTech Systems is also the Recipient of some of the prestigious awards like Maharashtra Government IT award in 2010, being adjudged among the top 50 emerging companies in India by NASCCOM in 2010 and many more. CRISIL for consecutive years has been ranking DesignTech as MSE1 which stands for Highest Credit Worthiness. Education and training wing of DesignTech Systems, “DesignTech CAD Academy” is an authorised training partner of Siemens, Dassault Systèmes for CATIA and Altair for their PLM and CAE suites of solutions, imparting training to the working professionals and students alike on the latest version of licensed software under the mentoring and supervision of certified trainers.
DesignTech Systems Ltd. is a leading CAD / CAM / CAE / PLM Solutions, Additive Manufacturing technologies, and Engineering Services provider from India. With more than 19 years of experience we have been working with companies from cross vertical domains from India and overseas to support them in their most complex and challenging engineering initiatives while helping them derive best returns on their investments.
DesignTech Systems is the only Platinum Partner for Siemens PLM Software in India, and have also forged strategic tie-ups with global leaders such as Altair Engineering for their HyperWorks suite of solutions, Stratasys 3D Printing Technology, ESI Casting and Welding Simulation software, MathWorks for MATLAB and SIMULINK, SLM Metal 3D Printing technology, and Solidscape high precision 3D Printing solutions.
Besides that, we also provide the Product design and development services or engineering services at every stage of product lifecycle starting from concept development, 3D Modelling and validation, product design analysis and simulation, to developing interactive 3D technical documentations. Catering to the product development and mechanical companies from industry segments such as Automotive, Aerospace and Defence, Industrial Machinery, Heavy Engineering, Electromechanical and consumer goods, and Power and Energy. Our clientele pans across North America, Europe and Asia.
Moreover, DesignTech Systems is also the Recipient of some of the prestigious awards like Maharashtra Government IT award in 2010, being adjudged among the top 50 emerging companies in India by NASCCOM in 2010 and many more. CRISIL for consecutive years has been ranking DesignTech as MSE1 which stands for Highest Credit Worthiness. Education and training wing of DesignTech Systems, “DesignTech CAD Academy” is an authorised training partner of Siemens, Dassault Systèmes for CATIA and Altair for their PLM and CAE suites of solutions, imparting training to the working professionals and students alike on the latest version of licensed software under the mentoring and supervision of certified trainers.
3DCS Dimensional Variation Analysis Integrated in Siemens NX CADBenjamin Reese
3DCS for NX gives outputs based on part and process variation. These can be input in a variety of ways, from CAD based PMI to selecting from applicable feature or point based options in 3DCS. The final results are shown as statistical (Monte Carlo) and mathematics (GeoFactor) based outputs with toggle-able metrics like Cpk, Ppk, ranges, percent out of specification and a variety more.
What helps 3DCS for NX stand out is its connection to Siemen's Teamcenter PLM system. Not only is 3DCS for NX integrated into NX CAD, but it in turn is integrated with Teamcenter. The 3DCS analysis data is stored in the NX CAD model, meaning that any place the model is stored or managed takes the 3DCS data along with it. This makes it easy to store your model and 3DCS data in Teamcenter, handling both version control and data security.
Learn more at https://www.3dcs.com/tolerance-analysis-software-and-spc-systems/3dcs-software/siemens-nx-integrated
Bhadale group of companies data science project methodologies catalogueVijayananda Mohire
This is our offering for data science project methodologies. We offer our expertise in transforming your enterprise for the next big data revolution for Data science project
3DCS Dimensional Variation Analysis Integrated in PTC CREO Benjamin Reese
3DCS Variation Analyst for Creo is an integrated software solution in PTC Creo that simulates product assembly and part tolerance 3D stack-ups through Monte Carlo Analysis and High-Low-Mean (Sensitvity) Analysis.
Integrated CAD tools provide a streamlined approach to analysis that improves adoption, training and process implementation. With the ability to open 3DCS for Creo in the CAD platform, and utilize PMI and CAD characteristics, implementation of 3DCS as a tolerance analysis tool becomes easy to learn and apply.
With an integrated modeling approach, 3DCS saves the analysis data in the model files (assembly level), letting users manage their CAD model in leading PLM systems like Teamcenter, Windchill, Enovia and 3DEXPERIENCE and automatically bring their tolerance analysis along. This answers the challenge of both file management and version control.
Learn more at https://www.3dcs.com/tolerance-analysis-software-and-spc-systems/3dcs-software/ptc-creo-integrated
Similar to Additive Manufacturing Process Simulation and Generative Design-Production of Functional Parts (20)
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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• Technical Resource Augmentation Services
• Project Management
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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.
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.
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 a Houston based Dassault Systemes partner providing software solutions, training and Finite Elements Analysis(FEA) / Computational fluid dynamics(CFD) based consulting services.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
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.
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.
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.
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.
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.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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.
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.
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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.
Additive Manufacturing Process Simulation and Generative Design-Production of Functional Parts
1. Additive Manufacturing Process Simulation
and Generative Design – Production of
Functional Parts
Arindam Chakraborty, PhD, PE
Virtual Integrated Analytics Solutions (VIAS)
achakraborty@viascorp.com
www.viascorp.com
June 06, 2018