Modeling Using the Adaptive Modeling Language
نویسندگان
چکیده
Vehicle frame structural engineering and optimization is discussed with focus on integrated design, analysis, and cost modeling within a single software environment. Unique to this environment is an innovative object oriented architecture that implements a unified part model, providing various levels of modeling and analysis fidelity while capturing conceptual, preliminary, and detailed engineering methodologies. It automates and manages data transfer and interaction among users, designs, analyses, and tools. It employs a feature-based design environment for structure design guiding the user through the various levels of modeling fidelity. It supports concurrent design, analysis, optimization, and cost modeling and links multiple users over a network of distributed heterogeneous workstations. The environment supports generative modeling enabling design trade studies for model design configuration and shape optimization. The environment builds upon and leverages many successful programs already deployed and in use. Various vehicle design cases are illustrated, thus highlighting the modular functionality and the multidisciplinary knowledge domains supported. It significantly enhances the overall engineering process for evaluating potential vehicle concepts through detailed and fully integrated design, analyses, and cost modeling. Introduction and Demonstration of Need Product design is a collaborative effort among different engineering disciplines that typically evolves through three stages: conceptual, preliminary, and detailed design. The process steps in designing a product are: recognition of need, definition of the product’s functions, and identification of a solution employing the various engineering theories and software packages needed . Structural design is merely one critical facet in this design process, as are mechanical design, structural analysis, manufacturing planning, and costing. The software industry has followed the concept of separating the engineering disciplines into specialized software packages, each focused on a single domain. Traditionally, cost analysis software products have adopted comparison methods that use databases to determine cost by weight using adjustments on similar previous design costs. Not only are such methods inadequate for accurate costing, but are often considered and treated as an afterthought. The framework presented in this paper supports collaborative engineering integrating design, analyses, and cost into a common object-oriented unified model enabling cost analysis at the early stage in the design cycle. It also employs activity-based cost modeling methods that can compute the product cost through the management of the driving elements at the various steps of the product’s production and assembly cycle. Figure 1: Product/Process Design Copyright © 2002 by TechnoSoft, Inc. Published by the American Institute of Aeronautics and Astronautics, Inc. with permission.
منابع مشابه
Dynamic modeling and control of a 4 DOF robotic finger using adaptive-robust and adaptive-neural controllers
In this research, first, kinematic and dynamic equations of a 4-DOF 3-link robotic finger are derived using Denavit-Hartenberg convention and Lagrange’s formulation. To model the muscles, several springs and dampers are placed between the finger links. Then, two advanced controllers, namely adaptive-robust and adaptive-neural, which can control the robotic finger in presence of parametric uncer...
متن کاملA Solution to the Problem of Extrapolation in Car Following Modeling Using an online fuzzy Neural Network
Car following process is time-varying in essence, due to the involvement of human actions. This paper develops an adaptive technique for car following modeling in a traffic flow. The proposed technique includes an online fuzzy neural network (OFNN) which is able to adapt its rule-consequent parameters to the time-varying processes. The proposed OFNN is first trained by an growing binary tree le...
متن کاملModeling of Weld Bead Geometry Using Adaptive Neuro-Fuzzy Inference System (ANFIS) in Additive Manufacturing
Additive Manufacturing describes the technologies that can produce a physical model out of a computer model with a layer-by-layer production process. Additive Manufacturing technologies, as compared to traditional manufacturing methods, have the high capability of manufacturing the complex components using minimum energy and minimum consumption. These technologies have brought about the possibi...
متن کاملModeling Structural Relationships Between Epistemological Beliefs and Mediating Learning Strategies on Anxiety in English Students
Introduction :The purpose of this study was to investigate the modeling of modeling structural relationships between epistemological beliefs and mediating learning strategies on the English language anxiety of third-year high school girl students in Babol. Methods:Correlation research was based on structural equation modeling. The statistical population consisted of 3rd grade high school girl s...
متن کاملModeling and Control of Gas Turbine Combustor with Dynamic and Adaptive Neural Networks (TECHNICAL NOTE)
متن کامل
PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002