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Development of a Robust Computational Design Simulator for Industrial Deformation Processes

开发工业变形过程的鲁棒计算设计模拟器

基本信息

批准号：
0113295
负责人：
Nicholas Zabaras
金额：
$ 35.96万
依托单位：
Cornell University
依托单位国家：
美国
项目类别：
Continuing grant
财政年份：
2001
资助国家：
美国
起止时间：
2001-08-01 至 2005-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0113295&HistoricalAwards=false
关键词：
Development Robust Computational Design Simulator

项目摘要

The objective of the research project is the development and application of mathematically and computationally rigorous gradient-based optimization methodologies for a virtual materials process design that is based on quantified product quality and accounts for process targets and constraints including economic aspects. A framework for preform as well as process parameter optimization of multi-stage metal forming processes is considered. The design of each individual process is performed using gradient-optimization techniques that are based on an innovative continuum sensitivity analysis. Optimal microstructure evolution paths, ideal forming techniques and knowledge based expert systems are used to select the required sequence of processes and to develop feasible initial designs.If successful, the computational design simulator under development can be applied to select the necessary sequence of forming and intermediate thermal-stage processes, select appropriate dies and preforms and control/design the various process parameters such that, for a given raw material with a given initial geometry, one can obtain a final product with desired microstructure and shape under various processconstraints and with minimal utilization rates and overall cost. These developments will lead to a virtual process laboratory that will assist industry in reducing lead time for process and product development, in trimming the cost of an extensive experimental trial-and-error process development effort, in developing processes for tailored material properties and in increasing volume/time yield.

该研究项目的目标是为虚拟材料工艺设计开发和应用数学和计算上严格的基于梯度的优化方法，该方法基于量化的产品质量，并考虑到工艺目标和包括经济方面的限制。提出了一种多级金属成形过程的预成形和工艺参数优化框架。每个单独过程的设计都使用基于创新连续体灵敏度分析的梯度优化技术进行。利用最优的微观组织演化路径、理想的成形技术和基于知识的专家系统来选择所需的工艺顺序并制定可行的初始设计方案。如果成功，正在开发的计算设计模拟器可以应用于选择必要的成形和中间热阶段工艺序列，选择适当的模具和预成形件，并控制/设计各种工艺参数，以便对于具有给定初始几何形状的给定原材料，可以在各种工艺限制下获得具有所需微观结构和形状的最终产品，并且利用率和总成本最低。这些发展将导致一个虚拟过程实验室，它将帮助工业减少过程和产品开发的前置时间，削减广泛的实验试错过程开发工作的成本，开发定制材料特性的过程，并提高产量/时间产量。