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Computer-aided Engineering
Computer-aided engineering (CAE) is the broad usage of computer software to aid in engineering analysis tasks. It includes , , , durability and optimization. It is included with computer-aided design (CAD) and computer-aided manufacturing (CAM) in the collective abbreviation " CAx". Overview Computer-aided engineering primarily uses computer-aided design (CAD) software, which are sometimes called CAE tools. CAE tools are used, to analyze the robustness and performance of components and assemblies. CAE tools encompass simulation, validation, and optimization of products and manufacturing tools. CAE systems aim to be major providers of information to help support design teams in decision-making. Computer-aided engineering is used in various fields, like automotive, aviation, space, and shipbuilding industries. CAE systems can provide support to businesses. This is achieved by the use of reference architectures and their ability to place information views on the business proc ...
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Plasticity
Plasticity may refer to: Science * Plasticity (physics), in engineering and physics, the propensity of a solid material to undergo permanent deformation under load * Neuroplasticity, in neuroscience, how entire brain structures, and the brain itself, can change as a result of experience ** Synaptic plasticity, the property of a neuron or synapse to change its internal parameters in response to its history ** Metaplasticity, the plasticity of synapses * Phenotypic plasticity, in biology, describes the ability of an organism to change its phenotype in response to changes in the environment Art and entertainment * Plastic arts, such as clay sculpture, in which material is formed or deformed into a new, permanent shape * ''Plasticity'', an album by Cabaret Voltaire * "Plasticities", a song by Andrew Bird, from the album ''Armchair Apocrypha'' Events * Plasticity Forum is a conference on the future of plastic and how to reduce impacts on the environment. See also * Plastic (disam ...
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Kinematics
Kinematics is a subfield of physics, developed in classical mechanics, that describes the Motion (physics), motion of points, Physical object, bodies (objects), and systems of bodies (groups of objects) without considering the forces that cause them to move. Kinematics, as a field of study, is often referred to as the "geometry of motion" and is occasionally seen as a branch of mathematics. A kinematics problem begins by describing the geometry of the system and declaring the initial conditions of any known values of position, velocity and/or acceleration of points within the system. Then, using arguments from geometry, the position, velocity and acceleration of any unknown parts of the system can be determined. The study of how forces act on bodies falls within kinetics (physics), kinetics, not kinematics. For further details, see analytical dynamics. Kinematics is used in astrophysics to describe the motion of celestial bodies and collections of such bodies. In mechanical engin ...
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List Of Finite Element Software Packages
This is a list of notable software packages that implement the finite element method for solving partial differential equations In mathematics, a partial differential equation (PDE) is an equation which imposes relations between the various partial derivatives of a multivariable function. The function is often thought of as an "unknown" to be solved for, similarly to .... Feature comparison This table is contributed by a FEA-compareGitHub
For ease of maintenance of this table, please, first consider to contribute changes directly to the project instead of editing the table below, however, direct wiki edits are also valid and will be backported project, which provides an alternative view of this table with the first row and Feature column being fixed for ease of table exploration.


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{{DEFAULTSORT:List Of Finite Elem ...
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Predictive Engineering Analytics
Predictive engineering analytics (PEA) is a development approach for the manufacturing industry that helps with the design of complex products (for example, products that include smart systems). It concerns the introduction of new software tools, the integration between those, and a refinement of simulation and testing processes to improve collaboration between analysis teams that handle different applications. This is combined with intelligent reporting and data analytics. The objective is to let simulation drive the design, to predict product behavior rather than to react on issues which may arise, and to install a process that lets design continue after product delivery. Industry needs In a classic development approach, manufacturers deliver discrete product generations. Before bringing those to market, they use extensive verification and validation processes, usually by combining several simulation and testing technologies. But this approach has several shortcomings when lookin ...
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Product Lifecycle
In industry, Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from its inception through the engineering, design and manufacture, as well as the service and disposal of manufactured products. PLM integrates people, data, processes and business systems and provides a product information backbone for companies and their extended enterprises. History The inspiration for the burgeoning business process now known as PLM came from American Motors Corporation (AMC). The automaker was looking for a way to speed up its product development process to compete better against its larger competitors in 1985, according to François Castaing, Vice President for Product Engineering and Development. Lacking the "massive budgets of General Motors, Ford, and foreign competitors … AMC placed R&D emphasis on bolstering the product lifecycle of its prime products (particularly Jeeps)." After introducing its compact Jeep Cherokee (XJ), the vehicle th ...
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Control System
A control system manages, commands, directs, or regulates the behavior of other devices or systems using control loops. It can range from a single home heating controller using a thermostat controlling a domestic boiler to large industrial control systems which are used for controlling processes or machines. The control systems are designed via control engineering process. For continuously modulated control, a feedback controller is used to automatically control a process or operation. The control system compares the value or status of the process variable (PV) being controlled with the desired value or setpoint (SP), and applies the difference as a control signal to bring the process variable output of the plant to the same value as the setpoint. For sequential and combinational logic, software logic, such as in a programmable logic controller, is used. Open-loop and closed-loop control There are two common classes of control action: open loop and closed loop. In an ...
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Smart System
Smart systems incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions. In most cases the “smartness” of the system can be attributed to autonomous operation based on closed loop control, energy efficiency, and networking capabilities. Characteristics Smart systems typically consist of diverse components: * Sensors for signal acquisition * Elements transmitting the information to the command-and-control unit * Command-and-control units that take decisions and give instructions based on the available information * Components transmitting decisions and instructions * Actuators that perform or trigger the required action Development A lot of smart systems evolved from microsystems. They combine technologies and components from microsystems technology (miniaturized electric, mechanical, optical, and fluidic devices) with ...
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Design Cycle
A decision cycle is a sequence of steps used by an entity on a repeated basis to reach and implement decisions and to learn from the results. The "decision cycle" phrase has a history of use to broadly categorize various methods of making decisions, going upstream to the need, downstream to the outcomes, and cycling around to connect the outcomes to the needs. Overview A decision cycle is said to occur when an explicitly specified decision model is used to guide a decision and then the outcomes of that decision are assessed against the need for the decision. This cycle includes specification of desired results (the decision need), tracking of outcomes, and assessment of outcomes against the desired results. Examples of decision cycles * In quality control, PDCA (Plan–Do–Check–Act) is used. * In science, the scientific method (Observation–Hypothesis–Experiment–Evaluation) can also be seen as a decision cycle. * In the United States Armed Forces, a theory of an OODA l ...
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Finite Element Updating
Finite element model updating is the process of ensuring that finite element analysis results in models that better reflect the measured data than the initial models. It is part of verification and validation of numerical models. The process The process is conducted by first choosing the domain in which data is presented. The domains used include time domain, frequency domain, modal domain, and time-frequency domain. The second step is to determine which parts of the initial models are thought to have been modeled incorrectly. The third task is to formulate a function which has the parameters that are expected to be design variables, and which represents the distance between the ''measured'' data and the finite element model ''predicted'' data. The fourth step is to implement the optimization method to identify parameters that minimize this function. In most cases, a gradient-based optimization strategy will be used. For nonlinear analysis, more specific methods like resp ...
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Prototype
A prototype is an early sample, model, or release of a product built to test a concept or process. It is a term used in a variety of contexts, including semantics, design, electronics, and Software prototyping, software programming. A prototype is generally used to evaluate a new design to enhance precision by system analysts and users. Prototyping serves to provide specifications for a real, working system rather than a theoretical one. In some design workflow models, creating a prototype (a process sometimes called materialization) is the step between the Formal specification, formalization and the evaluation of an idea. A prototype can also mean a typical example of something such as in the use of the derivation 'prototypical'. This is a useful term in identifying objects, behaviours and concepts which are considered the accepted norm and is analogous with terms such as stereotypes and archetypes. The word ''wikt:prototype, prototype'' derives from the Greek language, Greek ...
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Automotive Industry
The automotive industry comprises a wide range of company, companies and organizations involved in the design, Business development, development, manufacturing, marketing, and selling of motor vehicles. It is one of the world's largest industry (economics), industries by revenue (from 16 % such as in France up to 40 % to countries like Slovakia). It is also the industry with the highest spending on research & development per firm. The word ''automotive'' comes from the Greek language, Greek ''autos'' (self), and Latin ''motivus'' (of motion), referring to any form of self-powered vehicle. This term, as proposed by Elmer Ambrose Sperry, Elmer Sperry (1860-1930), first came into use with reference to automobiles in 1898. History The automotive industry began in the 1860s with hundreds of manufacturers that pioneered the Brass Era car, horseless carriage. For many decades, the United States led the world in total automobile production. In 1929, before the Great Depression, ...
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Voxel
In 3D computer graphics, a voxel represents a value on a regular grid in three-dimensional space. As with pixels in a 2D bitmap, voxels themselves do not typically have their position (i.e. coordinates) explicitly encoded with their values. Instead, rendering systems infer the position of a voxel based upon its position relative to other voxels (i.e., its position in the data structure that makes up a single volumetric image). In contrast to pixels and voxels, polygons are often explicitly represented by the coordinates of their vertices (as points). A direct consequence of this difference is that polygons can efficiently represent simple 3D structures with much empty or homogeneously filled space, while voxels excel at representing regularly sampled spaces that are non-homogeneously filled. Voxels are frequently used in the visualization and analysis of medical and scientific data (e.g. geographic information systems (GIS)). Some volumetric displays use voxels to describe ...
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