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Development of theoretical foundation of design for manufacturing and normative framework for manufacturability evaluation.

机译：开发制造设计的理论基础和可制造性评估的规范框架。

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摘要

Design for Manufacturing (DfM) involves trade-offs between design objectives and manufacturing cost/efficiency. Several measures have been proposed for manufacturability in the literature. However, these measures either lack sound theoretical foundations or are not applicable in the DfM context. This work explores and evaluates these measures and proposes Benefit Cost Analysis (BCA) as the basis for DfM evaluation. The applicability and rationality of benefit cost analysis to DfM is demonstrated and the value functions of the benefit and the cost are chosen as the DfM measure since it makes explicit trade-offs between manufacturing cost and design benefit.; Another objective of this research is to streamline DfM analysis across all manufacturing domains. Towards this goal, the generic steps in DfM analysis are identified and information models of manufacturing features, process, cost and resource are developed. The design of a customizable manufacturability evaluation shell based on this framework is presented. The shell covers several stages of manufacturability analysis (technical, economic) and can perform analyses at different levels of abstraction (qualitative, quantitative). The shell can be customized and expanded by the knowledge engineer and the user. The architecture of the shell is presented and its applications to manufacturability analysis for two domains, sheet metal and machining, are illustrated.; Today's manufacturing knowledge spans a vast spectrum. In this work, different types of manufacturing knowledge have been identified and represented. An information/knowledge infrastructure has been developed as the backbone to integrate other existing tools into the framework. The schemes to validate the knowledge input by the knowledge engineer have also been developed. The database consistency has been addressed and the consistency enforcement module helps the knowledge engineer build the consistent relational model. A statistical inference technique has been used to verify the qualitative heuristic knowledge using quantitative analysis results.
机译：制造设计（DfM）涉及设计目标和制造成本/效率之间的权衡。在文献中已经提出了几种可制造性的措施。但是，这些措施要么缺乏可靠的理论基础，要么不适用于DfM。这项工作探索并评估了这些措施，并提出了收益成本分析（BCA）作为DfM评估的基础。证明了利益成本分析在DfM中的适用性和合理性，并选择了收益和成本的价值函数作为DfM度量，因为它在制造成本和设计收益之间进行了明确的权衡。这项研究的另一个目标是简化所有制造领域的DfM分析。为了实现这一目标，确定了DfM分析中的通用步骤，并开发了制造特征，过程，成本和资源的信息模型。提出了基于此框架的可定制的可制造性评估外壳的设计。该外壳涵盖可制造性分析的几个阶段（技术，经济），并且可以在不同的抽象级别（定性，定量）进行分析。外壳可以由知识工程师和用户自定义和扩展。介绍了壳体的体系结构，并说明了其在钣金和机械加工两个领域的可制造性分析中的应用。当今的制造知识涵盖了广泛的领域。在这项工作中，已经识别并代表了不同类型的制造知识。信息/知识基础架构已被开发为将其他现有工具集成到框架中的骨干。还开发了验证知识工程师输入的知识的方案。数据库一致性已得到解决，一致性执行模块可帮助知识工程师建立一致的关系模型。统计推断技术已用于使用定量分析结果来验证定性启发式知识。

著录项

  • 作者

    Zhao, Zuozhi.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Engineering Mechanical.; Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 242 p.
  • 总页数 242
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;一般工业技术;
  • 关键词

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