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the creativity playbook a guide to our creativity debatesBy using Computer Aided Simulation and Analysis (CASA), the designers to optimize the product, address innovative designs, reduce the amount of prototypes and to significantly decrease the amount of testing and experimenting. Thus, CASA assists to reduce design overall costs and greatly shorten the overall design cycle period. CASA greatly contributes to shortening the time to market and to creating high quality and more efficient and more optimized design. Further reducing development, manufacturing and design costs, CASA helps to become significantly more competitive without sacrificing quality and good design work. By making feasibility decisions, and gathering knowledge early on, companies save time, increase efficiency, reduce costs and decrease risks. ResearchGate has not been able to resolve any references for this publication. Recommended publications Discover more Article Full-text available Production and Marketing status of Sweet Potato in Berlagavi Karnataka October 2018 Sanket J. More Sweet potato in Karnataka is grown mainly for commercial purpose rather than self-consumption. Though area under sweet potato cultivation has not witnessed any improvement, improvement in productivity has helped to uplift production over the years. To further enhance the production and income, awareness about improved cultivation practices such as improved varieties, adoption of advanced package of practices, innovative technologies and exploration of alternative marketsView full-text Conference Paper Cryptographic Hash Functions: Theory and Practice December 2010 Bart Preneel Cryptographic hash functions are an essential building block for security applications. Until 2005, the amount of theoreticalFrom the hundred designs published before 2005, aboutMoreover, serious shortcomings have been.http://www.morozovawedding.ru/cite_imgs/dell-poweredge-860-server-manual.xml
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In response to this hash function crisis, a large number ofIn November 2007, NIST announced the start of the SHA-3About half of the 64 submissions were broken withinIn a first section, we review how product imperfections were integrated to the analysis of income distribution. Then, the role played by income distribution effects in the trade cycle theories developed during the thirties are examined in a second section, the first part focusing on Kalecki 1939’s theory based on a linear saving function while the second part is devoted to Kaldor’s 1940 model analysis based on a non-linear saving function. Read more Article Efficiency and effectiveness achieved in drilling engineering in the Sebei Gas Field, Qaidam Basin October 2014 Chuanlun Zhang Zailin Huo P. Zhou Low cost and rapid drilling will be the key to the efficient development of the Sebei Gas Field, Qaidam Basin, where the Quaternary pay zone is buried shallow with loose beds and high shale content. As a result, drilling operators there have been always troubled by a long cycle, a high cost, and a poor effect. In view of this, to build a gas field on the plateau with a deliverability of 10 billion m3, the PetroChina Qinghai Company introduced the market and competitive mechanisms, conducted technical studies on how to achieve safe and rapid drilling assisted by a complete set of horizontal well drilling techniques, and strengthened production organization and well control management. In conclusion, to achieve the development of complex gas fields like Sebei with a high quality, a high speed and a high efficiency, operators should insist on technical improvement, management and mechanism innovation and also excel the fundamental role of quota management. How the industry comes to evolve along one of the many possible trajectories is a question that has puzzled researchers for some time.http://10playsolutions.com/clients/softklk/documents/_articles_/dell-poweredge-850-hardware-manual.xml Using examples from practice, we build on existing knowledge of technology evolution to provide a conceptual framework that explains this evolutionary process. We argue that during the era of ferment, competing designs represent mere claims. Each design or claim is mired in numerous controversies. Finally, firms are able to retain control over their designs and hence, make it a basis for a sustainable competitive advantage only when the design is positioned as an obligatory passage point. We believe that managers equipped with a better understanding of this process would be in a position to make more informed decisions regarding choice of technologies, adoption of particular standards, or selection of alliance-partners. Read more Conference Paper An Omega radio-navigation receiver for animal tracking October 1995 J. Bishop J.D. Last By taking a fundamental look at the way animal-tracking systemsOmega radio-navigation receiver is explored, and the design andThe paper demonstratesWe find that formulating easily understood goals helps engage students in fascinatingly creative processes that ex-pose the need for a scientific methodology. Such challenges engage male and female students equally, helping to erase the gender disparity in familiarity with the technol-ogy and skills common to physical science. View full-text Article Aggressive fuel designs minimize fuel costs for the ANO1 PWR T. G. Ober K. B. Megehee A. Bencheikh R. A. Thompson Fuel cycle design objectives are influenced by the desire of utilities to attain top performer status in the industry and to become more cost competitive. At Energy, we are seeking aggressive fuel designs and core management schemes that reduce costs without compromising operating margins. A secondary goal was to incorporate those features into cycle 12 that could lead to further cost or margin improvements in later cycles. Read more Article Fully automatic cup production as an alternative to outsourcing December 2005 G.https://www.thebiketube.com/acros-boss-gt-3-service-manual Seitz Sama Maschinenbau GmbH has offered a fully automatic cup production technology, which is an alternative to outsourcing, and results in flexible cup production at competitive costs. The handle pressure casting unit is of modular design and consists of a number of pressure casting moulds, depending on the intended production capacity. Read more Article The design and development of an anechoic lining system for the acoustic test facility at NUWC Newpo. Based on Dr. Reader’s designs and concepts, a prototype anechoic lining system for the ATF and NUWC Newport was tested successfully and the full system will be installed in the Spring of 1995. Background on the design and development of the lining system and data from prototype testing will be presented. Ken reports that the membership levels of SPE have dropped significantly and witnessed a large loss of income. SPE witnessed growth in non-North American membership as USA levels have dropped. SPE has employed several promotional methods and some sections and divisions have set up competitions to achieve the significant results. SPE must have a large membership who provides to ensure efficient income and provide a source of information for other members and ensure that every member has access to all this knowledge. Read more Chapter Bekleidungsvverk. Mode vermittelt Arbeit (Engl. The contributions collected in this volume by the winners of the German Student Award 2007 encourage the reader to engage with sometimes unusual perspectives and practices to answer these questions. By offering new ideas and critically questioning existing models, the authors contribute to the discussion about the position of work in our society and the lives of individuals. The chapter I contributed to this publication is a shortened version of the written part of my diploma thesis (at that time academic equivalent to the master thesis) that I obtained in 2005 at the Burg Giebichenstein University of Art and Design Halle.http://gerryikputuandpartners.com/images/95-ford-ranger-manual-transmission-fluid-type.pdf Read more Last Updated: 01 Feb 2021 Looking for the full-text. You can request the full-text of this book directly from the authors on ResearchGate. Request full-text Already a member. Log in ResearchGate iOS App Get it from the App Store now. Install Keep up with your stats and more Access scientific knowledge from anywhere or Discover by subject area Recruit researchers Join for free Login Email Tip: Most researchers use their institutional email address as their ResearchGate login Password Forgot password. Keep me logged in Log in or Continue with LinkedIn Continue with Google Welcome back. Keep me logged in Log in or Continue with LinkedIn Continue with Google No account. All rights reserved. Terms Privacy Copyright Imprint. These models typically appear on a computer monitor as a three-dimensional representation of a part or a system of parts, which can be readily altered by changing relevant parameters. CAD systems enable designers to view objects under a wide variety of representations and to test these objects by simulating real-world conditions. Computer-aided manufacturing (CAM) uses geometrical design data to control automated machinery. CAM systems are associated with computer numerical control (CNC) or direct numerical control (DNC) systems. These systems differ from older forms of numerical control (NC) in that geometrical data are encoded mechanically. Since both CAD and CAM use computer-based methods for encoding geometrical data, it is possible for the processes of design and manufacture to be highly integrated.By continuing, you agree to the use of cookies. To learn more, visit our Cookies page. Download COMPUTER AIDED SIMULATION AND ANALYSIS LAB MANUAL.No: 2 Stress analysis of a plate with a circular hole. Ex. No: 3 Stress analysis of rectangular L bracket Ex. No: 4 Stress analysis of an axi-symmetric component Ex. No: 5 Mode frequency analysis of a 2 D component Ex. No: 6 Mode frequency analysis of beams (Cantilever, Simply Supported, Fixed ends) Ex. No: 7 Harmonic analysis of a 2D component Ex. No: 8 Thermal stress analysis of a 2D component Ex. No: 9 Conductive heat transfer analysis of a 2D component Ex. No: 10 Convective heat transfer analysis of a 2D component Simulation Ex. Finite Element Analysis, commonly called FEA, is a method of numerical analysis. FEA is used for solving problems in many engineering disciplines such as machine design, acoustics, electromagnetism, soil mechanics, fluid dynamics, and many others. In mathematical terms, FEA is a numerical technique used for solving field problems described by a set of partial differential equations. In mechanical engineering, FEA is widely used for solving structural, vibration, and thermal problems. However, FEA is not the only available tool of numerical analysis. Other numerical methods include the Finite Difference Method, the Boundary Element Method, and the Finite Volumes Method to mention just a few. However, due to its versatility and high numerical efficiency, FEA has come to dominate the engineering analysis software market, while other methods have been relegated to niche applications. You can use FEA to analyze any shape; FEA works with different levels of geometry idealization and provides results with the desired accuracy. When implemented into modern commercial software, both FEA theory and numerical problem formulation become completely transparent to users. Who should use Finite Element Analysis. As a powerful tool for engineering analysis, FEA is used to solve problems ranging from very simple to very complex. Design engineers use FEA during the product development process to analyze the design-in-progress. Time constraints and limited availability of product data call for many simplifications of the analysis models. At the other end of scale, specialized analysts implement FEA to solve very advanced problems, such as vehicle crash dynamics, hydro forming, or air bag deployment. This book focuses on how design engineers use FEA as a design tool. We will then highlight the most essential FEA characteristics for design engineers as opposed to those for analysts. FEA for Design Engineers: another design tool For design engineers, FEA is one of many design tools among CAD, Prototypes, spreadsheets, catalogs, data bases, hand calculations, text books, etc.FEA for Design Engineers: based on CAD models Modern design is conducted using CAD tools, so a CAD model is the starting point for analysis. Since CAD models are used for describing geometric information for FEA, it is 3 COMPUTER AIDED SIMULATION AND ANALYSIS LAB essential to understand how to design in CAD in order to produce reliable FEA results, and how a CAD model is different from FEA model. This will be discussed in later chapters. FEA for Design Engineers: concurrent with the design process Since FEA is a design tool, it should be used concurrently with the design process. It should keep up with, or better yet, drive the design process. Analysis iterations must be performed fast, and since these results are used to make design decisions, the results must be reliable even when limited input is available. Limitations of FEA for Design Engineers As you can see, FEA used in the design environment must meet high requirements. An obvious question arises: would it be better to have dedicated specialist perform FEA and let design engineers do what they do best - design new products. The answer depends on the size of the business, type of products, company organization and culture, and many other tangible and intangible factors. A general consensus is that design engineers should handle relatively simple types of analysis, but do it quickly and of course reliably. Analyses that are very complex and time consuming cannot be executed concurrently with the design process, and are usually better handled either by a dedicated analyst or contracted out to specialized consultants. With the use of FEA, design iterations are moved from the physical space of prototyping and testing into the virtual space of computer simulations (figure 1-1). 4 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Figure 1-1: Traditional and. FEA- driven product development Traditional product development needs prototypes to support design in progress. The process in FEA-driven product development uses numerical models, rather than physical prototypes to drive development. In an FEA driven product, the prototype is no longer a part of the iterative design loop. What is Solid Works Simulation. Solid Works Simulation is a commercial implementation of FEA, capable of solving problems commonly found in design engineering, such as the analysis of deformations, stresses, natural frequencies, heat flow, etc. Solid Works Simulation addresses the needs of design engineers. SRAC was established in 1982 and since its inception has contributed to innovations that have had a significant impact on the evolution of FEA. In 1995 SRAC partnered with the Solid Works Corporation and created Solid Works Simulation, one of the first Solid Works Gold Products, which became the top-selling analysis solution for Solid Works Corporation. The commercial success of Solid Works Simulation integrated with Solid Works CAD software resulted in the acquisition of SRAC in 2001 by Dassault Systems, parent of Solid Works Corporation. In 2003, SRA Corporations merged with Solid Works Corporation. Solid Works Simulation is tightly integrated with Solid Works CAD software and uses Solid Works for creating and editing model geometry. Solid Works is a solid, parametric, feature-driven CAD system. As opposed to many other CAD systems that were originally developed in a UNIX environment and only later ported to Windows, Solid Works CAD was developed specifically for the Windows Operating System from the very beginning. In summary, although the history of the family of Solid Works FEA 5 COMPUTER AIDED SIMULATION AND ANALYSIS LAB products dates back to 1982, Solid Works Simulation has been specifically developed for Windows and takes full advantage this of deep integration between Solid Works and Windows, representing the state-of-the-art in the engineering analysis software. Fundamental steps in an FEA project The starting point for any Solid Works Simulation project is a Solid Works model, which can be one part or an assembly. At this stage, material properties, loads and restraints are defined. Next, as is always the case with using any FEA based analysis tool, we split the geometry into relatively small and simply shaped entities, called finite elements. Creating finite elements is commonly called meshing. When working with finite elements, the Solid Works Simulation solver approximates the solution being sought (for example, deformations or stresses) by assembling the solutions for individual elements. From the perspective of FEA software, each application of FEA requires three steps. Preprocessing of the FEA model, which involves defining the model and then splitting it into finite elements. Solution for computing wanted results. Post-processing for results analysis We will follow the above three steps every time we use Solid Works Simulation. From the perspective of FEA methodology, we can list the following FEA steps. Building the mathematical model. Building the finite element model. Solving the finite element model. Analyzing the results The following subsections discuss these four steps Building the mathematical model The starting point to analysis with Solid Works Simulation is a Solid Works model. Geometry of the model needs to be meshable into a correct and reasonably small element mesh. This requirement of meshability has very important implications. We need to 6 COMPUTER AIDED SIMULATION AND ANALYSIS LAB ensure that the CAD geometry will indeed mesh and that the produced mesh will provide the correct solution of the data of interest, such as displacements, stresses, temperature distribution, etc. Geometry modifications allow for a simpler mesh and shorter computing times. Also, geometry preparation may not be required at all; successful meshing depends as much on the quality of geometry submitted for meshing as it does on the sophistication of the meshing tools implemented in the FEA software. Having prepared a meshable, but not yet meshed geometry we now define material properties. (these can also be imported from a Solid Works model), loads and restraints, and provide information on the type of analysis that we wish to perform. This procedure completes the creation of the mathematical model (figure 1-2). Notice that the process of creating the mathematical model is not FEA-specific. FEA has not yet entered the picture. 7 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Figure 1-2: Building the mathematical model The process of creating a mathematical model consists of the modification o CAD geometry (here removing external fillets), definition of loads, restraint material properties, and definition of the type of analysis (e.g., static) that we wish to perform. Building the finite element model The mathematical model now needs to be split into finite elements through a process of discretization, more commonly known as meshing (figure 1-3).Loads and restraints are also discretized and once the model has been meshed the discretized loads and restraints are applied to the nodes of the finite element mesh. Figure 1-3: Building the finite element model The mathematical model is discretized into a finite element model. This completes the pre-processing phase. The FEA model is then solved with one of the numerical solvers available in Solid Works Simulation Solving the finite element model Having created the finite element model, we now use a solver provided in Solid Works Simulation to produce the desired data of interest (figure 1-3). 8 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Analyzing the results Often the most difficult step of FEA is analyzing the results. Proper interpretation of results requires that we understand all simplifications (and errors they introduce) in the first three steps: defining the mathematical model, meshing its geometry, and solving. Errors in FEA The process illustrated in figures 1-2 and 1-3 introduces unavoidable errors. Formulation of a mathematical model introduces modeling errors (also called idealization errors), discretization of the mathematical model introduces discretization errors, and solving introduces numerical errors. Of these three types of errors, only discretization errors are specific to FEA. Modeling errors affecting the mathematical model are introduced before FEA is utilized and can only be controlled by using correct modeling techniques. Solution errors caused by the accumulation of round-off errors are difficult to control, but are usually very low. A closer look at finite elements Meshing splits continuous mathematical models into finite elements. The type of elements created by this process depends on the type of geometry meshed, the type of analysis, and sometimes on our own preferences. Solid Works Simulation offers two types of elements: tetrahedral solid elements (for meshing solid geometry) and shell elements (for meshing surface geometry).Before proceeding we need to clarify an important terminology issue. Solid elements The type of geometry that is most often used for analysis with Solid Works Simulation is solid CAD geometry. The tetrahedral solid elements in Solid Works Simulation can either be first order elements (draft quality), or second order elements (high quality). The user decides whether to use draft quality or high quality elements for meshing. However, as we will soon prove, only high quality elements should be used for an analysis of any importance. The difference between first and second order tetrahedral elements is illustrated in figure 1-4. 9 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Figure 1 -4: Differences between first and second order tetrahedral elements First and the second order tetrahedral elements are shown before and after deformation. Note that the deformed faces of the second order element may assume curvilinear shape while deformed faces of the first order element must remain fiat. First order tetrahedral elements have four nodes, straight edges, and flat faces. These edges and faces remain straight and flat after the element has experienced deformation under the applied load. First order tetrahedral elements model the linear field of displacement inside their volume, on faces, and along edges. The linear (or first order) displacement field gives these elements their name: first order elements. If you recall from the Mechanics of Materials, strain is the first derivative of displacement. Therefore, strain and consequently stress, are both constant in first order tetrahedral elements. This situation imposes a very severe limitation on the capability of a mesh constructed with first order elements to model stress distribution of any real complexity. To make matters worse, straight edges and flat faces cannot map properly to curvilinear geometry, as illustrated in figure 1-5. Figure 1-5: Failure of straight edges and flat faces to map to curvilinear geometry 10 COMPUTER AIDED SIMULATION AND ANALYSIS LAB A detail of a mesh created with first order tetrahedral elements. Notice the imprecise element mapping to the hole; flat faces approximate the face of the cylindrical hole. Second order tetrahedral elements have ten nodes and model the second order (parabolic) displacement field and first order (linear) stress field in their volume, along laces, and edges. The edges and faces of second order tetrahedral elements before and after deformation can be curvilinear. Therefore, these elements can map precisely to curved surfaces, as illustrated in figure 1-6. Even though these elements are more computationally demanding than first order elements, second order tetrahedral elements are used for the vast majority of analyses with Solid Works Simulation. Figure 1-6: Mapping curved surfaces A detail is shown of a mesh created with second order tetrahedral elements. Second order elements map well to curvilinear geometry. Shell elements Besides solid elements, Solid Works Simulation also offers shell elements. While solid elements are created by meshing solid geometry, shell elements are created by meshing surfaces. Shell elements are primarily used for analyzing thin-walled structures. Since surface geometry does not carry information about thickness, the user must provide this information. Similar to solid elements, shell elements also come in draft and high quality with analogous consequences with respect to their ability to map to curvilinear geometry, as shown in figure 1-7 and figure 1-8. As demonstrated with solid elements, first order shell elements model the linear displacement field with constant strain and stress while second order shell elements model the second order (parabolic) displacement field and the first order strain and stress field. 11 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Figure 1-7: First order shell element This shell element mesh was created with first order elements. Notice the imprecise mapping of the mesh to curvilinear geometry. Figure 1-8: Second order shell element Shell element mesh created with second order elements, which map correctly to curvilinear geometry. Certain classes of shapes can be modeled using either solid or shell elements, such as the plate shown in figure 1-9. The type of elements used depends then on the objective of the analysis. Often the nature of the geometry dictates what type of element should be used for meshing. For example, parts produced by casting are meshed with solid elements, while a sheet metal structure is best meshed with shell elements. 12 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Figure 1-9: Plate modeled with solid elements (left) and shell elements The plate shown can be modeled with either solid elements (left) or shell elements (right). The actual choice depends on the particular requirements of analysis and sometimes on personal preferences Figure 1-10, below, presents the basic library of elements in Solid Works Simulation. Elements like a hexahedral solid, quadrilateral shell or other shapes are not available in Solid Works Simulation. 13 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Figure 1-10: Solid Works Simulation element library Four element types are available in the Solid Works Simulation element library. The vast majority of analyses use the second order tetrahedral element. Both solid and shell first order elements should be avoided. The degrees of freedom (DOF) of a node in a finite element mesh define the ability of the node to perform translation or rotation. The number of degrees of freedom that a node possesses depends on the type of element that the node belongs to. In Solid Works Simulation, nodes of solid elements have three degrees of freedom, while nodes of shell elements have six degrees of freedom. This means that in order to describe transformation of a solid element from the components of nodal displacement, most often the x, y, z displacements. In the case of shell elements, we need to know not only the translational components of nodal displacements, but also the rotational displacement components. What is calculated in FEA. Each degree of freedom of every node in a finite element mesh constitutes an unknown. In structural analysis, where we look at deformations and stresses, nodal displacements are the primary unknowns. If solid elements are used, there are three displacement components (or 3 degrees of freedom) per node that must be calculated. With shell elements, six displacement components (or6 degrees of freedom) must be calculated. 14 COMPUTER AIDED SIMULATION AND ANALYSIS LAB Everything else, such as strains and stresses, are calculated based on the nodal displacements. Consequently, rigid restraints applied to solid elements require only three degrees of freedom to be constrained. Rigid restraints applied to shell elements require that all six degrees of freedom be constrained. In a thermal analysis, which finds temperatures and heat flow, the primary unknowns are nodal temperatures. Since temperature is a scalar value (unlike the vector nature of displacements), then regardless of what type of element is used, there is only one unknown (temperature) to be found for each node. All other results available in the thermal analysis are calculated based on temperature results. The fact that there is only one unknown to be found for each node; rather than three or six, makes thermal analysis less computationally intensive than structural analysis. How to interpret FEA results Results of structural FEA are provided in the form of displacements and stresses. What exactly constitutes a failure. To answer these questions, we need to establish some criteria to interpret FEA results, which may include maximum acceptable deformation, maximum stress, or lowest acceptable natural frequency. While displacement and frequency criteria are quite obvious and easy to establish, stress criteria are not.