In recent years, with the increasing variety, complexity, and precision requirement on plastic products, CAE tools have been widely used for solving product design and manufacturing issues. The structural designs or molding process parameters for products can be optimized efficiently through CAE analyses. Plus the reliable and correct verification with experiments, the directions or guidance in designs or process condition settings can be provided prior to the real moldings. However, sometimes it is not efficient to find an optimized set of parameters through traditional CAE analyses. A novel integration between Moldex3D and HyperStudy allows for more quick and efficient parameter optimization which will save time, increase product quality, and increase productivity.
Also, traditional CAE analyses do not consider the molding properties influence on structural analysis, such as material property variations caused by fiber orientation and residual stresses. Accordingly, an integrated technology is proposed to bridge molding and structural analysis. Through the integration of Moldex3D and structural analysis in HyperWorks platform, the important effects from molding process can be transferred to structural analysis for more accurate and realistic predictions of the product behaviors. This integration provides a virtual product development platform for users to increase profits as well as enhance productivity.
This presentation highlights the new capabilities of RedHawk, the industry standard power noise and reliability sign-off solution that is FinFET ready. The new features include Distributed Machine Processing (DMP) for ultra large design simulation with sign-off accuracy, Chip Package Analysis (CPA) - the industry's first integrated chip-package co-simulation and co-analysis environment, and foundry certification for 16nm FinFET design. Learn more on our website: https://bit.ly/1t3lNZ1
This presentation highlights the new capabilities of RedHawk, the industry standard power noise and reliability sign-off solution that is FinFET ready. The new features include Distributed Machine Processing (DMP) for ultra large design simulation with sign-off accuracy, Chip Package Analysis (CPA) - the industry's first integrated chip-package co-simulation and co-analysis environment, and foundry certification for 16nm FinFET design. Learn more on our website: https://bit.ly/1t3lNZ1
Shared Memory Centric Computing with CXL & OMIAllan Cantle
Discusses how CXL can be better utilized as a separate Fabric Cache domain to a processors own Local Cache Domain. This is done by leveraging a Shared Memory Centric architectures that utilize both the Open Memory Interface OMI, and Compute eXpress Link, CXL, for the memory ports.
This presentation provides you with fifty ways to improve the way you protect your metal stamping dies. Everything from improving the press stopping time, to selecting and wiring sensors is covered here.
I have been receiving multiple queries on what is clk-to-q delay, how's it different from library setup time and library hold time, etc. I mentioned in my discussions, that the videos on CMOS digital circuit will be uploaded soon, but looks like, it might take some time, and hence decided to uploaded few images from my CMOS course, to explain the difference between all of them.
Slide deck for talk at IETF#92 (Dallas, March 2015) at the IETF Light-Weight Implementation Guidance (lwig) working group about the performance of cryptographic algorithms on ARM processors.
Design Considerations, Installation, and Commissioning of the RedRaider Cluster at the Texas Tech University
High Performance Computing Center
Outline of this talk
HPCC Staff and Students
Previous clusters
• History, Performance, usage Patterns, and Experience
Motivation for Upgrades
• Compute Capacity Goals
• Related Considerations
Installation and Benchmarks Conclusions and Q&A
Heterogeneous Computing : The Future of SystemsAnand Haridass
Charts from NITK-IBM Computer Systems Research Group (NCSRG)
- Dennard Scaling,Moore's Law, OpenPOWER, Storage Class Memory, FPGA, GPU, CAPI, OpenCAPI, nVidia nvlink, Google Microsoft Heterogeneous system usage
Shared Memory Centric Computing with CXL & OMIAllan Cantle
Discusses how CXL can be better utilized as a separate Fabric Cache domain to a processors own Local Cache Domain. This is done by leveraging a Shared Memory Centric architectures that utilize both the Open Memory Interface OMI, and Compute eXpress Link, CXL, for the memory ports.
This presentation provides you with fifty ways to improve the way you protect your metal stamping dies. Everything from improving the press stopping time, to selecting and wiring sensors is covered here.
I have been receiving multiple queries on what is clk-to-q delay, how's it different from library setup time and library hold time, etc. I mentioned in my discussions, that the videos on CMOS digital circuit will be uploaded soon, but looks like, it might take some time, and hence decided to uploaded few images from my CMOS course, to explain the difference between all of them.
Slide deck for talk at IETF#92 (Dallas, March 2015) at the IETF Light-Weight Implementation Guidance (lwig) working group about the performance of cryptographic algorithms on ARM processors.
Design Considerations, Installation, and Commissioning of the RedRaider Cluster at the Texas Tech University
High Performance Computing Center
Outline of this talk
HPCC Staff and Students
Previous clusters
• History, Performance, usage Patterns, and Experience
Motivation for Upgrades
• Compute Capacity Goals
• Related Considerations
Installation and Benchmarks Conclusions and Q&A
Heterogeneous Computing : The Future of SystemsAnand Haridass
Charts from NITK-IBM Computer Systems Research Group (NCSRG)
- Dennard Scaling,Moore's Law, OpenPOWER, Storage Class Memory, FPGA, GPU, CAPI, OpenCAPI, nVidia nvlink, Google Microsoft Heterogeneous system usage
40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facilityinside-BigData.com
In this deck from the Swiss HPC Conference, Mark Wilkinson presents: 40 Powers of 10 - Simulating the Universe with the DiRAC HPC Facility.
"DiRAC is the integrated supercomputing facility for theoretical modeling and HPC-based research in particle physics, and astrophysics, cosmology, and nuclear physics, all areas in which the UK is world-leading. DiRAC provides a variety of compute resources, matching machine architecture to the algorithm design and requirements of the research problems to be solved. As a single federated Facility, DiRAC allows more effective and efficient use of computing resources, supporting the delivery of the science programs across the STFC research communities. It provides a common training and consultation framework and, crucially, provides critical mass and a coordinating structure for both small- and large-scale cross-discipline science projects, the technical support needed to run and develop a distributed HPC service, and a pool of expertise to support knowledge transfer and industrial partnership projects. The on-going development and sharing of best-practice for the delivery of productive, national HPC services with DiRAC enables STFC researchers to produce world-leading science across the entire STFC science theory program."
Watch the video: https://wp.me/p3RLHQ-k94
Learn more: https://dirac.ac.uk/
and
http://hpcadvisorycouncil.com/events/2019/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
EELE 5331 Digital ASIC DesignLab ManualDr. Yushi Zhou.docxtoltonkendal
EELE 5331: Digital ASIC Design
Lab Manual
Dr. Yushi Zhou
Department of Electrical Engineering
Lakehead University
Thunder Bay, Ontario, Canada
Contents
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2 MOSFET Devices and Layout Tutorial . . . . . . . . . . . . . 4
2.1 Prepare For Schematic . . . . . . . . . . . . . . . . . . 4
2.2 Perform Simulation . . . . . . . . . . . . . . . . . . . . 7
2.3 Layout . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.4 Layout Veri�cation . . . . . . . . . . . . . . . . . . . . 17
2.5 Report . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
2.6 How to understand DRC error report . . . . . . . . . . 26
3 CMOS Inverter . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3.1 Design speci�cations . . . . . . . . . . . . . . . . . . . 27
3.2 Lab Procedure . . . . . . . . . . . . . . . . . . . . . . 29
3.3 Report . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
1
EELE5331:Digital ASIC Design [email protected]
1 Introduction
This lab manual is an essential components of EELE5331: Digital ASIC
Design, o�ered by Dr. Yushi Zhou. The lab works consists of schematic
entry, symbol generation, pre-layout simulation, layout, physical and logic
veri�cation, extraction and post-layout simulation for the design. All the
students are required to submit individual lab report before the deadline.
All reports must be typed and professionally prepared. The content that
needs to be included in the report are given at the end of each lab. There
are total three labs, and each part will be released before the lab starts.
• Lab 1: MOSFET devices and layout tutorial
• Lab 2: CMOS Inverter
• Lab 3: CMOS Digital Logic Circuits
It should be noted that the students are not limited to the assigned lab
time, which may not be enough to complete the lab. Students are expected
to work on the lab during their free time if that case is required. You may
use remote log-in to complete the labs.
TSMC CMOS 180 nm technology process design kit (PDK) is a 1-Poly,
6-Metal technology, with a maximum supply voltage of 1.8 V for thin oxide
devices and 3.3 V for thick oxide devices. This process is suitable for design-
ing analog, digital, RF and mixed-signal circuits and systems. In this course,
all the labs are designed based upon CMOS 180 nm process. The computer-
aided design (CAD) tools that are adopted in this course are from Cadence
Design Systems for the purpose of schematic entry, simulation, implemen-
tation and veri�cation. The Cadence custom IC design platform provides
a graphical interface for various stages in the design �ow. An overview of
the design �ow and which tools are involved in each stage is shown in Fig.1.
As you may notice that there are loops, indicating iterative procedures. For
instance, if the physical layout does not pass design rules check or LVS check,
Page 2
EELE5331:Digital ASIC Design [email protected]
the modi�cation of.
A memory stack on logic 3D IC stack was considered for comparative study of warpage response to two different process choices, namely, Die to Die (D2D) and Package to Die (P2D) assembly. Process and reliability modeling software CielMech, and Commercial Finite Element Analysis (FEA) software ANSYS Mechanical were utilized to simulate thermo-mechanical effects of sequential chip attach, underfilling and encapsulation process steps for the chosen flows. Warpage at room temperature as well as attach temperature after each attach step were compared. Results indicated that underfill, substrate, and mold compound thermal strains play important roles in warpage evolution. Significant differences in the final assembled state warpage was predicted and is attributable to path dependence of warpage evolution.
We leave in the era where the atomic building elements of silicon computers, e.g., transistors and wires, are no longer visible using traditional optical microscopes and their sizes are measured in just tens of Angstroms. In addition, power dissipation per unit volume is bounded by the laws of Physics that all resulted among others in stagnating processor clock frequencies. Adding more and more processor cores that perform simpler and simpler tasks in an attempt to efficiently fill the available on-chip area seems to be the current trend taken by the Industry.
Similar to Moldex3D, Structural Analysis, and HyperStudy Integrated in HyperWorks Platform (20)
Altair offers a unique set of simulation tools to evaluate product feasibility, optimize the manufacturing process, and run virtual try-outs for many traditional, subtractive, and additive manufacturing processes.
Smart Product Development: Scalable Solutions for Your Entire Product LifecycleAltair
Being connected to your products opens doors to recurring and value-based revenue streams. It not only solves your customer's toughest challenges; it also helps build a sustainable future for your company. Try SmartWorks IoT today, for free trial .
An engineer working for Northrop Grumman Systems Corporation Marine Systems (NGSC-MS) was given a project to improve their teams’ current NASTRAN results post-processing workflow by writing a script to automate the task. They reached out to Altair for collaboration and Altair engineers were able to quickly determine that Altair’s mathematical modeling environment – “Altair Compose” – would be the ideal solution due to its ability to read, manipulate, and write NASTRAN results. Also, the Open Matrix Language is a scripting language that is familiar to the engineering community. Given sample NASTRAN results and requirements Altair engineers provided a “template” script. The NGSC-MS team was able to quickly understand and modify the script to their goals. The custom results were then viewable in HyperView as a contour plot, which saved a considerable amount of time during post-processing and documentation workflows.
Designing for Sustainability: Altair's Customer StoryAltair
Bush Bohlman was required to perform the structural analysis and timber design for the British Columbia Institute of Technology, (BCIT), student plaza, a pedestrian and public transport user gateway for the institute. The structure needed to establish a strong campus identity with a biophilic design and demonstrable support for sustainable building practices while ensuring structural safety according to local design codes. The hybrid mass timber structure consists of a Cross-Laminated Timber (CLT) canopy, CLT columns, and steel columns. By using S-TIMBER, the engineers were able to simulate the complex two-way bending behavior of the cantilevering roof panels and asymmetrical column layout. Having the model in S-TIMBER allowed for changes to be analyzed and re-designed, without the need to manually design individual timber and steel elements. S-TIMBER's design reports presented the design calculations concisely, yet transparently, for faster and easier reviews.
why digital twin adoption rates are skyrocketing.pdfAltair
Even though digital twin technology isn’t necessarily new, its adoption is sweeping regions and industries at astonishing rates. Organizations are rushing to adopt digital twins, learning how they can use it for different applications and purposes, and foresee even more growth in the coming few years. In this infographic, remember the big story about digital twin adoption and find out what companies worldwide have in store for their digital twin futures.
Digital twin technology has the potential to usher in unprecedented sustainability breakthroughs in industries around the world. As the world sprints toward a net zero future, organizations are rushing to adopt solutions that will create a more sustainable planet filled with technology that will enable people to minimize their impact on the people, wildlife, and environments around them. In this infographic, see how companies are flocking to digital twin technology to meet their sustainability objectives and where digital twin can have the greatest impact.
Altair’s industrial design tools allow designers, architects, and digital artists to create, evaluate, and visualize their vision faster than ever before. Focus on ideas instead of being hindered by shortcomings of the software tools and liberate creativity with design software that lets the user model freely, make changes effortlessly, and render beautifully.
Analyze performance and operations of truck fleets in real timeAltair
Altair’s event processing and data visualization tools enable fleet operators to analyze critical data streaming in from sensors and other sources. This real-time visibility into vehicle and driver performance helps reduce operating costs, improve driver safety, and increase fleet productivity. Analysts can display maps showing the current position of all assets, examine route deviations, program alerts on any set of parameters, and compare drivers’ behavior. Analysts can design and modify analytical dashboards as needed without writing a single line of code.
Knowledge Studio text analytics add-on is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.
Altair’s Data Analytics solutions help reduce healthcare IT complexities and add efficiencies in areas like claims/reimbursement processing, revenue cycle management, interoperability, patient adherence and satisfaction analysis, and physician performance analysis.
Altair allows healthcare organizations to access, cleanse, and transform data—helping to break down data application silos and building automated workflows into standardized, shareable assets for optimizing strategic planning, streamlining operations, and maximizing resources.
Altair’s artificial intelligence (AI) and machine learning (ML) software helps materials scientists understand how to best fill gaps in their material databases, even when it’s impossible to test all possible variants. These advanced tools also optimize testing programs, improve efficiency, and reduce the time required to complete materials testing.
Altair High-performance Computing (HPC) and CloudAltair
Altair’s industry-leading HPC tools let you orchestrate, visualize, optimize, and analyze your most demanding workloads, easily migrating to the cloud and eliminating I/O bottlenecks. Top500 systems and small to mid-sized computing environments alike rely on Altair to keep infrastructure running smoothly. With longstanding hardware and cloud provider partnerships, we handle the integrations for you so your team can focus on moving business forward.
No Code Data Transformation for Insurance with Altair MonarchAltair
Altair Monarch is the fastest and easiest way to extract data from dark, semi-structured sources like PDFs, spreadsheets, and text files, as well as from Big Data and other structured sources. Monarch cleans, transforms, blends, and enriches data with an easy-to-use interface free of coding and scripting. For 30 years Monarch has helped insurers worldwide save time and money by enabling people of different skill sets to transform data quickly and precisely for efficient analysis around calculating premiums, identifying fraudulent claims, optimizing customer retention strategies, and more.
Altair Data analytics for Banking, Financial Services and Insurance Altair
Data is a significant asset for any organization. The older the data get, the more valuable it becomes. But the value of data doesn't lie in that you have it but in how you utilize it. Altair provides you the complete Data analytics, AI, and ML solutions across industries like manufacturing, insurance, finance, and government sectors to help you make smarter data decisions.
Altair data analytics and artificial intelligence solutionsAltair
Altair enables organisations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization, and more. With a no-code, cloud-ready interface, organisations can harness the full power of analytics and AI throughout their complete data lifecycle, driving next-level business results.
Are You Maximising the Potential of Composite Materials?Altair
This presentation provides a summary of the talks given at Altair's Composite Design ATCx seminar which took place in the UK on 26th June, 2018. The presentation includes input from Gordon Murray Design, McLaren, Simpact and many more, describing how they are using Altair technologies to reduce composite product weight, reduce time to market, improve impact performance and much more.
Lead time reduction in CAE: Automated FEM Description ReportAltair
For each deliverable FE-Model a FEM description report needs to be generated. Since this document contains always the same type of information, it is an ideal candidate to automate the creation of this report. Based on the Hyper Report Tool from Altair, RUAG Space and Altair developed a tool to automatically generate the FEM Description Report. The tool requires the HyperMesh data base and the output files from FEM checks as inputs. Together with the tool template, guidelines are provided on how the data base needs to be set up, such that the report can be created automatically. The main structure of the FEM Description Report is dependent on the assembly structure of the HM data base.
Car makers have to reduce consumption of vehicles and so, are continually looking for solutions to lighten components. For powertrain, components generally mean screwed assembly, contact and fitting interfaces, with different kind of loading to take into account (static and dynamic). Hence, we decided to apply with Altair assistance, a process of topology optimization on an assembly of gearbox housing in order to check its feasibility and efficiency. Several steps had to be solved from exhaustive identification of all mechanical constraints to execution of large models with Optistruct. By the end, the process has been defined and implemented on an existing gearbox and will be soon apply on the next one to design.
Speakers
Philippe Dausse, Modelization Specialist, PSA Peugeot Citroen Automobiles
The Team H2politO: vehicles for low consumption competitions using HyperWorks Altair
The Team H2politO is a group of students of the Politecnico di Torino. The student’s background and profiles are very diverse, everyone comes from a different discipline of engineering and together they compose a complete Team. The disciplines range from Automotive and Mechanical to Electronics, Aerospace, Energy, Mathematics, Computer Science, Mechatronics, Management, Cinema and Media and Industrial Design. The Team mission is to shape a new generation of engineers, leaders in their fields, who represent the educational excellence in regard of each of their competencies.
The results of Team passion and hard work are three low-energy consumption vehicles completely designed and made by the Team: IDRA - hydrogen powered prototype; XAM – bioethanol powered parallel hybrid urban concept; XAM 2.0 –EREV city vehicle.
The main goal is to take part and win in Shell Eco-marathon, a competition that every year involves more than one hundreds of students teams arriving from all over Europe. Especially we would like to spread the Shell Eco-marathon values through ours, combining the sustainable development with a vehicle that uses the least possible amount of energy.
H2politO is a different, innovative and somehow unique project, is not just a Team but something more: it is a new type of conceiving educational, professional and personal growth. Team members aim at being perceived as an experimental laboratory where competences, capabilities and potentialities of future’s engineers are fostered. Students strive to become not only solid and advanced technical experts but, equally important, down-to-earth managers having excellent communication, leadership and teamwork skills.
Practical and hands-on experiences are doubtlessly a complementary and enriching form of educational path where it is very important the use of simulation software like HyperWorks. Team members have a real opportunity to lead their educational path by building and crafting their own thesis. Final papers are indeed part of a cluster of thesis which combines all the technological and organizational areas of development H2politO has envisioned and embraced.
The Team believes in hard work as the basis of future success. Students crave for continuously improving and strive for exceeding expectations by nurturing the team spirit in order to create those synergies able to add value to individual performances and capabilities. As a consequence, passion and team-spirit are really the foundation of H2politO values.
Speakers
Prof. Massimiliana Carello, Politecnico di Milano
Improving of Assessment Quality of Fatigue Analysis Using: MS, FEMFAT and FEM...Altair
Better correlation of measurement data using Motion Solve and FEFMAT LAB virtual iteration Matching of locally measured data calculating excitations (input) based on MBS process (MotinSolve) to reach local measured data Using this process and the output of MotionSolve for a hybrid MBS- fatigue process
Speakers
Axel Werkhausen, Manager Sales & Support, MAGNA / Engineering Center Steyr GmbH & Co KG
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
2. CoreTech System and Moldex3D
The world’s largest injection molding CAE ISV
80% experienced engineering professionals
50% of employees involved in R&D activities
9 global offices, local support from Michigan
1,200+ global customers
6,000+ industrial projects validation
4. Moldex3D leads the way of Technology development
2003: 1st complete 3D CAE for plastic molding(Solid)
2005: 1st SMP/DMP 3D CAE for plastic molding
2007: propriety automatic 3D meshing (eDesign)
2009: exclusive compatibility with multiple 3D CAD
5. How Moldex3D Can Help?
Aesthetics and dimensional concerns
Weld line, air trap, flow mark
Flow balance and part weight
shrinkage and warpage control
Fiber orientation
Being more competitive
Cycle time reduction by removing
hot & cold spots
Mold structure optimization
Reduce mold trial & tooling cost
Reaching Lean Production
Injection conditions optimization
Clamping force reduction
Machine selection
6. Moldex3D Flow Analysis
Moldex3D-Flow predicts melt front, weld line, air trap,
short shot and process window…
7. Moldex3D Packing Analysis
Moldex3D-Pack simulates the density variation and melt
flow due to material compressibility
7
8. Moldex3D Cooling Analysis
• Moldex3D-Cool simulates mold temperature, cooling efficiency, hot spot,
cooling time …
9. Moldex3D Warpage Analysis
Moldex3D-Warp simulates the part warpage due to volumetric shrinkage
and further help to control these defects before mold is built
10. Moldex3D Fiber Analysis
Moldex3D-Fiber simulates the 3D fiber orientation and calculates the
process-induced anisotropic properties
10
11. MCM Analysis in Moldex3D
Moldex3D-MCM simulates the Multi-Component Molding, Insert molding
and over molding process.
21. BASF – New material development for automotive
bumper
Füllverhalten bei 50% Füllung
Füllverhalten bei 75% Füllung
22. Moldex3D:Danfoss
Improve design from one
material molding into two
color molding
Reduce cycle time of the
molding by 43%. Shorten
time to the market.
Reduce material cost by
11% via product geometry
optimization
22
23. Moldex3D User: Connector Case
The area
suggested to
be cored out
Warpage improved by 20% after
thickness cored out
23
24. Moldex3D User: Unilever
Temperature difference :45oC ->15oC
Cooling time reduced by 25% (from 5 to 3 sec)
Save 4 million sec
24
26. What can Moldex3D-FEA Interface to Abaqus do?
• To consider the process-induced variation during the processes
– Mesh output
• Original / deformed mesh
• Mesh mapping
– Material properties output
• Anisotropic properties
• Fiber Orientation tensor
– Result output
• Thermal/Residual stress
• Temperature (Part/Mold)
• Pressure history (Part/Mold)
27. Moldex3D-FEA Interface-Anisotropic material
properties
• Based on the fiber orientation and proper micro-mechanics models,
Moldex3D-FEA Interface can output
– Stiffness matrix
– Thermal expansion coefficient
27
28. Moldex3D-FEA Interface Orientation tensor (for
Digimat)
• Orientation tensor can be output to composite modeling software
(Digimat) to perform more accurate micro mechanical properties
calculation
29. Moldex3D-FEA Interface-Material Reduction
• Material Reduction
– Moldex3-FEA Interface can reduce the anisotropy scale by homogenizing the
similar anisotropic properties so as to improve the computational efficiency
Total material number from Total material number from
76,150 to 1,866 3,392 to 668
29
30. Technology Link of FEA Interface
Structure
Moldex3D Simulation Ejection Application
Analysis
Flow Pack Cool Warp
FEA-
ANSYS
Warpage
FEA-
ABAQUS Mold Deform
FEA-MSC Structural
Nastran
FEA-MSC Modal Analysis
Marc
Drop Test
FEA
LS-DYNA Impact
FEA-NX Paddle-Shift
Nastran
Core-Shift
FEA-
RADIOSS
43. Introduction: Moldex3D and HyperStudy
• Moldex3D
• Moldex3D is the world leading CAE product for the plastics injection molding
industry
• HyperStudy
• HyperStudy is software to perform Design of Experiments (DOE), optimization,
and stochastic studies in a CAE environment
• HyperStudy is a member of the HyperWorks suite of software products
• Benefits of Moldex3D and HyperStudy Integration
• Users can employ HyperStudy to perform a series of Moldex3D analyses
systematically for improving part qualities
• Process conditions can be optimized automatically
• Moldex3D supports all study types for HyperStudy
44. Workflow between Moldex3D and HyperStudy
Create an initial run and perform a preliminary analysis
Copy new design factor file and Do Study setup, DOE setup and
call Moldex3D as the solver others setups
through script function
Output response factor
Finish all runs and obtain optimal results
46. Case Study
• An injection molded part from a speed meter shows potential warpage
problem from preliminary Moldex3D analyses.
• Dimension: 400 x 126 x 76 mm
• The target is to reduce warpage through optimizing process conditions
with HyperStudy and Moldex3D using DOE study.
47. Design of Experiments Conditions
• DOE Class: 9-run Fractional Factorial
• Initial Design Variables
• Filling Time: 2 sec
• Melt Temperature: 230˚C
• Mold Temperature: 70˚C
• Packing Pressure Profile %: 75%
• Design Variables
• Number of Variables: 4
• Filling Time: 1.7, 2, 2.3 sec (3 levels)
• Melt Temperature: 220, 240˚C (2 levels)
• Mold Temperature: 65, 75˚C (2 levels)
• Packing Pressure Profile %: 70, 75, 80 % (3 levels)
• Response Variable
• Standard deviation for total displacement (mm)
• In other words, the target is to have as uniform displacement as possible
48. DOE Study: Create a DOE Study
Select DOE Class
Detail setting of the Study setup is shown in appendix
49. DOE Study: Controlled Variables
• Define Design Variables:
Select Design variables
Setup Design variable
bounds and level values
51. Design of Experiments: Run Results
Run Summary
This chart indicates the melt
temperature and packing
pressure profile are the most
sensitive factors
Main Effects
52. DOE Optimal Results
Variables Initial Results DOE Results
Filling Time (sec) 2 2.3
Melt Temperature (˚C) 230 220
Design Variables
Mold Temperature (˚C) 70 65
Packing Pressure Profile (%) 75 80
Response Variable SD for Total Displacement (mm) 0.354 0.262
• HyperStudy DOE study will lead to minimum standard deviation (SD) for Total
Displacement. It implies that the part deformation will become more uniform in
general.
Initial Results DOE Results
54. Create an Optimization Study
• The same optimization target can be achieved by employing an
Optimization Study. For example: Adaptive Response Surface Method
(ARSM)
Select Optimization Engine
Other optimization engines available in
HyperStudy are
58. Optimal Results
Variables Initial Run Optimal Run
Filling Time (sec) 2 2.3
Melt Temperature (˚C) 230 220
Design Variables
Mold Temperature (˚C) 70 65
Packing Pressure Profile( %) 75 80
Response Variable SD for Total Displacement (mm) 0.354 0.262
• Recommended optimal results will lead to the minimum standard deviation (SD)
for Total Displacement. It means that the part deformation will become more
uniform in general.
Initial Results Optimal Results
60. Comparison
Variables Initial Results DOE Results Optimal Results
Filling Time (sec) 2 2.3 2.3
Melt Temperature (˚C) 230 220 220
Design Variables
Mold Temperature (˚C) 70 65 65
Packing Pressure Profile( %) 75 80 80
Response Variable SD for Total Displacement (mm) 0.354 0.262 0.262
Warpage Improvement
0% 26% 26%
{[0.354-(Other results)]/0.354}*100%
Initial results DOE/Optimal results
Upper and lower limit values fixed to initial results
61. Conclusion
• The integration between Moldex3D and HyperStudy helps users to find out the
optimal process conditions for injection molding systemically.
• Both DOE Study and Optimal Study can reduce maximum displacement from 1.4
mm (initial design) to 1.0 mm (optimal design), which is a 27% improvement.
• According to the DOE Study results, melt temperature is the most important and
filling time is the least important factor for warpage of this case.
• Both DOE Study and Optimization Study can reduce warpage by 26%. However,
please note it’s likely to find different optimization studies lead to slightly
different optimized results.