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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.
Mechanical systems and design
Published in D.A. Bradley, N.C. Burd, D. Dawson, A.J. Loader, Mechatronics, 2018
D.A. Bradley, N.C. Burd, D. Dawson, A.J. Loader
Analysis and modelling of the system and its components may be required to aid the selection of possible solutions, and also during the embodiment phase of the design process to determine parameters such as operating characteristics and sizes of components. By the use of the techniques of computer aided engineering (CAE) to test various models and options, the traditional prototype/ redesign/prototype loop can be much reduced, leading to shorter and hence cheaper times for product development.
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.
Integrating Taguchi method and artificial neural network to explore machine learning of computer aided engineering
Published in Journal of the Chinese Institute of Engineers, 2020
Wen-Ren Jong, Yan-Mao Huang, Yun-Zih Lin, Shia-Chung Chen, Yu-Wei Chen
CAE is an analytical model created with finite element software, which allows fast computations on a computer for simulation, and is mainly used in various engineering fields. Taking the injection molding industry as an example, engineers can perform simulation analysis on a computer at the beginning of product design to judge the feasibility of the product design, as shown in Figure 4. This technology can significantly shorten the development time, carry out early preliminary analysis and correction, and reduce the labor and material costs required for subsequent testing, in order to accelerate product development time, and improve product yield and quality, thus, increasing profitability.
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
The ABAQUS software is a powerful program for Computer-Aided Engineering (CAE). Stages in ABAQUS processing included importing files for respective measurements of geometry in ABAQUS, determination of the material assembly, determination of the type of contact, and generating the mesh. In the first stage, the solid surface was modeled and pre-processed in the ABAQUS, which was integrated into CAE 6 program (Ismail et al., 2013; Sloetjes et al., 2002). The subsequent stage could produce the solid modeling file with five extensions acquired by clicking on the toolbar menu. Figure 5 shows the shape of solid surface examined in the present study.