An Integrated Cloud CAE Simulation System for Industrial Service Applications

Abstract

The cloud-based computer-aided engineering (CAE) technology expands the application scope of CAE, solves the problem of uneven distribution, and improves the efficiency of the simulation resources. Consequently, various industries are turning to cloud CAE technology to design their products. However, to utilize this technology fully, we must overcome problems, such as impracticality, inability to handle complex analysis objects, poor data transmission, and compatibility, and poor industrial applicability. Based on the ASP.NET, VB.NET, and ANSYS Parametric Design Language, this paper establishes an integrated cloud CAE simulation system for industrial service applications. The system: 1) connects the dispatching manager through the network and 2) clusters the servers according to their load and usage before dispatch, thereby enabling users to access the ANSYS software remotely. The model can be built either by inputting the dimensions of the parametric model through the page or by uploading a three-dimensional computeraided design (CAD) model that meets the format requirements. The material parameters and the boundary conditions also input through the page. Thus, clients can input their own parameters and analyze the server CAD. Finally, the CAE analysis results can be invoked by a page operation, saving meaningful results on the server to be accessed directly by users. The proposed simulation system serves the needs of users both quickly and efficiently. In the large-scale industrial application trials, enterprises responded favorably to the system. In particular, it properly solves the CAE analysis problems of small-and medium-sized machinery and equipment enterprises. INDEX TERMS Integrated design, APDL, CAE, digital design, load balancing, service platform.

Web-Based Simulation Environment for Vehicular Electrical Networks

“…Additionally, relevant software development cornerstones to deploy EDS visualization and simulation is exhibited in [7]. On this issue, when talking about key pillars that can significantly enhance the capabilities of simulation tools, web and cloud-based architectures are currently an accelerating trend given their capacity to boost collaboration, increase flexibility and tackle complex product-oriented designs [9]. Moreover, these web-based deployments present advantages not only for end users, but also for applications developers given the convenience of remote access, usage of any operative system and simplified software installation and upgrading.…”