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面向OKP产品的计算制造和虚拟原型项目负责人:丁汉所在单位:华中科技大学关键词:计算制造 几何推理 计算智能 虚拟原型项目批准号:59985004项目简介 在以计算机为核心工具的信息时代,随着网络化和智能化的不断发展,制造系统和制造过程的计算复杂性己成为制约产品快速设计和快速制造的关键问题。计算制造（Computational Manufacturing）通过对制造系统和制造过程进行建模,定性推理和定量分析,解决复杂零件测量、评定、加工路径生成、干波检查、空间布置、装配规划和可拆卸等问题,以实现制造系统的重构和调度,从而达到提高产品质量,减少成本,缩短产品开发周期的目的。计算制造旨在集成计算几何、加工原理、传感器信息融合、网络控制和维护、计算智能和虚拟原型等方法,目的是使制造系统中的某些问题归结为计算机可形式化描述的计算模型,研究其可计算性和复杂性,解决制造过程中出现的几何和特征建模、推理、基于网络的设计、控制和维护、计算智能和虚拟原型有关的数学建模及其复杂性分析。计算制造的研究大体可由定量计算、定性推理和信息
Project Engineer: Ding Han Unit: Huazhong University of Science and Technology Keywords: Computational Manufacturing Geometry Reasoning Computation Intelligent Virtual Prototyping Project Grant No .: 59985004 Project Description In information age with computer as the core tool, With the continuous development of networking and intelligence, the computational complexity of manufacturing systems and manufacturing processes has become a key issue that restricts the rapid design and rapid manufacturing of products. Computational Manufacturing addresses issues such as complex part measurement, qualification, machining path generation, dry wave inspection, spatial layout, assembly planning and disassembly through modeling, qualitative reasoning and quantitative analysis of manufacturing systems and manufacturing processes to To achieve the reconstruction of manufacturing systems and scheduling, so as to achieve the purpose of improving product quality, reduce costs and shorten the product development cycle. Computational manufacturing methods are designed to integrate computational geometry, machining principles, sensor information fusion, network control and maintenance, computational intelligence and virtual prototypes with the goal of reducing some of the problems in manufacturing systems to computational models that can be formally described by computers, Its computability and complexity address mathematical modeling and complexity analysis of geometry and feature modeling, reasoning, web-based design, control and maintenance, computational intelligence and virtual prototyping that occur during manufacturing. Computational manufacturing research can be roughly calculated by quantitative, qualitative reasoning and information