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The trend of computer’s application In shearer viewed from usage of FEM in the gear
Published in Heping Xie, Yuehan Wang, Yaodong Jiang, Computer Applications in the Mineral Industries, 2020
The trend of computer application of shear is CAE. What is CAE? CAE is computer aided engineering, which represents all facet of computer-aided processes used for product development. At first CAE was taken as analytical/numerical computations, computer-aided design (CAD) has been associated with solid modeling and drafting, while computer aided manufacturing (CAM) represented the production phase, i.e. CNC and EDM. At present computer will be used in whole product design-manufacturing processes, defining product geometry, material and technology. And the product is made to satisfy not only the demands of function, but also the demand of its performance, life and reliability, all of which are tested by computer. With CAE it is not necessary to build physical prototypes to test qualities of fit, form and function. Designs can be virtually prototyped and tested, and can fully or partly eliminate the need for physical mockups. In the design and study of gear, CAE has already been illustrated partly. The application of CAE techniques accelerates the speed of product study and development, and reduces costs a great deal. CAE can improve product quality adequately. The Intelligent fully integrated Longwall mining systems where nobody is in a longwall face will be realized.
Extending Quick Response to New Product Introduction
Published in Rajan Suri, John Burke, Quick Response Manufacturing, 2020
Computer-based analysis tools are becoming increasingly important for design. Commonly used CAD tools include 3-D solid modeling systems and parametric modeling. CAE tools include stress analysis, thermal analysis, fluid flow simulations, finite elements analysis, and analysis of how molds and castings fill and cool. Computer simulation tools include animations of robot and machine tool movements, product functions, worker movements, and recently, virtual reality systems that replicate an entire environment in 3-D. All these tools enable the use of analytical prototypes in place of physical prototypes. Usually you can quickly construct analytical prototypes with less cost and easily modify them for “what-ifs,” thus tightening the feedback loop and speeding up the NPI process. So, they can serve the earlier stated goal of having many more, fast prototyping cycles.
Computer-Aided Technologies
Published in Vivek D. Bhise, Automotive Product Development, 2017
Building physical products or parts of the products (e.g., systems, subsystems, or components) and subjecting them to actual laboratory or field tests provides results that are generally more valid (e.g., representative of actual product) as compared with conducting one or more CAE evaluations. Advantages of the use of CAE tests are that they reduce time and costs associated with building physical test properties, preparing the test equipment, and conducting the required tests. The trend in automotive engineering tests is to conduct extensive CAE analyses first to narrow down evaluation alternatives (i.e., combinations of test or independent variables involved in defining the product design) and then, to conduct limited physical tests when the prototype components, systems, or vehicles are available for physical tests for validation purposes.
Data transfer analysis of the homogeneous rough surface of a solid model into a CAE system with varying file data formats
Published in Cogent Engineering, 2022
K. Kartini, G.A. Sipayung, R. Ismail, J. Jamari, A.P. Bayuseno
Recently, varying CAx systems such as CAD/CAE have been efficiently developed to facilitate technological revolutions in product design (Berselli et al., 2020). In particular, CAD can generate articles of a product-shaped model by defining or selecting parameters and constraints (Chaparala et al., 2013; Hadj et al., 2018; Ramnath et al., 2020). Moreover, objects represented in CAD data with the full parameters can be enhanced before transferring of design intent into other CAx systems. Specifically, CAE system based-computer software can be applied for improving product design and resolving engineering problems in many industrial sectors. This system may serve for simulating, optimizing, and validating designs, products, and manufacturing processes that can be integrated with computer-aided manufacturing (CAM). Correspondingly, CAE technologies provide a precise model for supporting engineers during the design process (Chaparala et al., 2013). For instance, CAE simulations present multi-body analysis (MBD), and deflection and stress analysis using finite element method (FEM), simulating the actuation system, or performing optimization studies. Accordingly, virtual models of CAE provide benefits of integrating various data and supporting product testing, compared to physical testing (Chaparala et al., 2013).
Determination of relevant mechanical properties for the production process of polyethylene by using mesoscale molecular simulation techniques
Published in Soft Materials, 2020
The mechanical and thermal behavior of polymers is highly complex. Their individual component design is a difficult procedure and in many cases characterized by strong compromises due to their distinctive time, temperature, and load-dependent behavior. For the development of an optimized product at minimum material usage, the use of computer-aided engineering (CAE) has become increasingly important over the past several years. Simulation-based product tests using the method of finite elements (FE) are already state of the art. Several properties of the final part such as the deformation behavior are predictable.[1–5] Nevertheless, the simulation results strongly depend on the input data for the analysis procedure.[1,5] Most clearly the material description, consisting of the choice of the material model and the related material properties, influences the results. In many cases the specific material properties, which are generally determined by experiments, are not available. Furthermore performing the experiments needed is associated with high costs, especially if different types of experiments are necessary to fully characterize the material behavior.[1,3]
Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0
Published in International Journal of Production Research, 2019
In the cyber-physical system for WEEE, the digital world is supported and hosted by a cloud computing environment. The cloud works as the container and provides the manufacturing and remanufacturing modules, so-called CAx modules when they are needed. The product design begins in the computer-aided design (CAD) module, where the designers document the functional and environmental features of the product from the beginning. The computer-aided engineering (CAE) module helps to simulate the performance to validate and improve the product design. At this phase, the success of traditional digital twin approach in the simulation can be inherited and further enhanced by the strong computing power from the cloud. Additionally, the environmental performance and impact can be simulated at this phase via life cycle assessment (LCA) module too, e.g. design for recycling, design for disassembly and design for remanufacturing. The simulation results and disassembly are maintained in the product archive for future remanufacturing operations.