本文選題：實例推理　切入點：知識驅動　出處：《中北大學》2012年碩士論文　論文類型：學位論文

【摘要】：盡管CAPP目前在應用中還不盡人意，但是其在制造業(yè)中的重要作用依然吸引了很多研究人員的興趣。本文詳述了CAPP的發(fā)展歷史以及研究現(xiàn)狀，展望了CAPP的發(fā)展趨勢，分析了CAPP目前存在的一些問題。工藝設計是一個信息處理和轉換的過程，從這個角度出發(fā)，本文從總體上構建了能進行高效工藝設計的混合式智能化CAPP系統(tǒng)的三層體系結構和實施流程，從而確定了構成系統(tǒng)的主要功能模塊，該系統(tǒng)以人為主體，從知識驅動和實例推理兩個角度來構建，并從以下三方面進行了研究： 第一、知識的表達建模的關鍵技術。組織和構建了需求—能力工藝知識體系結構，該結構基于工藝過程的工藝需求關系，從零件工藝需求和加工環(huán)境能力角度出發(fā)，將工藝知識劃分成零件信息、工藝信息、需求知識和能力知識。其中零件信息和工藝信息通過集成矩陣，從零件的特征層次與工藝的加工元層次進行集成構成了工藝實例。 第二、基于實例推理的工藝設計�；谙嗨平Y構具有相似工藝的原理，使用空間維度的思想來構建工藝實例問題描述空間模型，用工藝實例問題描述與目標零件在該空間中的距離來表征工藝實例與目標零件之間的相似度�；谶@種相似度評價和工藝實例的表示和組織結構，提出了一個基于四層分類結構的實例檢索算法，并且在檢索出合適的實例后，由一個基于匹配矩陣的工藝實例匹配和修改算法來實現(xiàn)工藝的實例推理設計。 第三、基于知識驅動的創(chuàng)成式工藝設計。根據(jù)需求—能力響應的知識體系，從零件信息模型中提取出零件的工藝需求，采用加工元的形式在需求和生產(chǎn)環(huán)境的能力之間建立映射。然后使用遺傳算法，以機床變換次數(shù)和刀具變換次數(shù)的加權組合最少作為適應度評價指標，對加工元進行排序并優(yōu)化，最終生成優(yōu)化的零件工序。 根據(jù)上述研究，，開發(fā)了混合式CAPP原型系統(tǒng)，以某芯軸為例，生成了優(yōu)化的加工工序，驗證了本文提出的方法的可行性和有效性。
[Abstract]:Although the application of CAPP is not satisfactory at present, its important role in manufacturing industry still attracts the interest of many researchers. This paper describes the development history and research status of CAPP, and looks forward to the development trend of CAPP. Some problems existing in CAPP are analyzed. Process planning is a process of information processing and transformation. In this paper, the three-layer architecture and implementation flow of a hybrid intelligent CAPP system which can carry out efficient process planning are constructed, and the main function modules of the system are determined. It is constructed from two angles of knowledge driven and case-based reasoning, and is studied from the following three aspects:. Firstly, the key technology of knowledge representation and modeling is organized and constructed. The architecture is based on the process requirement relationship of the process process, from the point of view of part process requirement and machining environment capability. The process knowledge is divided into part information, process information, requirement knowledge and capability knowledge, in which part information and process information are integrated from the feature level of the part and the processing element level through the integration matrix to form a process example. Secondly, process planning based on case-based reasoning. Based on the principle that similar structures have similar processes, the spatial model of process case problem description is constructed by using the idea of spatial dimension. The similarity between the process case and the target part is represented by describing the distance between the process case and the target part in this space. Based on this similarity evaluation and the representation and organization structure of the process case, A case retrieval algorithm based on four-layer classification structure is proposed, and a matching matrix based process case matching and modifying algorithm is used to realize the case-based reasoning design of the process. Thirdly, generative process planning based on knowledge driven. According to the knowledge system of demand-ability response, the process requirements of parts are extracted from the part information model. In the form of machining element, the mapping between the requirement and the capability of the production environment is established. Then, using the genetic algorithm, the least weighted combination of the number of machine tool transformations and the number of tool transformations is used as the fitness evaluation index. Sort and optimize the machining elements, and finally generate the optimized parts working procedure. Based on the above research, a hybrid CAPP prototype system is developed. Taking a core shaft as an example, an optimized processing procedure is generated, which verifies the feasibility and effectiveness of the proposed method.
【學位授予單位】：中北大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TH162;TP391.72

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