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==Modern tools== [[File:cad crank.jpg|thumb|An oblique view of a four-cylinder inline crankshaft with pistons]] Many mechanical engineering companies, especially those in industrialized nations, have incorporated [[computer-aided engineering]] (CAE) programs into their existing design and analysis processes, including 2D and 3D [[solid modeling]] [[computer-aided design]] (CAD). This method has many benefits, including easier and more exhaustive visualization of products, the ability to create virtual assemblies of parts, and the ease of use in designing mating interfaces and tolerances. Other CAE programs commonly used by mechanical engineers include [[product lifecycle management]] (PLM) tools and analysis tools used to perform complex simulations. Analysis tools may be used to predict product response to expected loads, including fatigue life and manufacturability. These tools include [[finite element analysis]] (FEA), [[computational fluid dynamics]] (CFD), and [[computer-aided manufacturing]] (CAM). Using CAE programs, a mechanical design team can quickly and cheaply iterate the design process to develop a product that better meets cost, performance, and other constraints. No physical prototype need be created until the design nears completion, allowing hundreds or thousands of designs to be evaluated, instead of a relative few. In addition, CAE analysis programs can model complicated physical phenomena which cannot be solved by hand, such as [[viscoelasticity]], complex contact between mating parts, or [[Non-Newtonian fluid|non-Newtonian flows]]. As mechanical engineering begins to merge with other disciplines, as seen in [[mechatronics]], [[multidisciplinary design optimization]] (MDO) is being used with other CAE programs to automate and improve the iterative design process. MDO tools wrap around existing CAE processes, allowing product evaluation to continue even after the analyst goes home for the day. They also use sophisticated optimization algorithms to more intelligently explore possible designs, often finding better, innovative solutions to difficult multidisciplinary design problems.
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