Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer

碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 91 === This research offers a method to recognize the cutting features and then generate scheduling-ready machining feature removal sequences for the process planer. The method is designed to generate flexible and efficient routings for those parts with multiple int...

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Bibliographic Details
Main Authors: Bo-cheng Chen, 陳柏誠
Other Authors: Tzong-ming Cheng
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/67484316100295208238
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spelling ndltd-TW-091CYUT50310382015-10-13T16:56:51Z http://ndltd.ncl.edu.tw/handle/67484316100295208238 Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer 可銜接排程之全自動切削特徵移除規劃之研究 Bo-cheng Chen 陳柏誠 碩士 朝陽科技大學 工業工程與管理系碩士班 91 This research offers a method to recognize the cutting features and then generate scheduling-ready machining feature removal sequences for the process planer. The method is designed to generate flexible and efficient routings for those parts with multiple interpretations. The research method is constituted with five major steps: Step 1: Calculate the removal volume of the work piece. Step 2: Find out the removal volume’s open surface, then divide, reconstruct and the volumes. Step 3: Reorganize the volumes according to its topology by comparing with the feature characteristics in feature bank. Step 4: List all logical sequences for volume removal. Step 5: Sift the feasible removal sequences out of the logical sequences, according to criteria such as minimal machine change, minimal tool change, and so on. Two example mill/turn parts are used to demonstrate the proposed method. All graphical and programming algorithms are implemented using ACIS solid modeler with ACIS GUI / API interfaces and Visual C++ programming. A discussion on the extension of the methodology is also provided. Tzong-ming Cheng 鄭宗明 2003 學位論文 ; thesis 107 zh-TW
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language zh-TW
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description 碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 91 === This research offers a method to recognize the cutting features and then generate scheduling-ready machining feature removal sequences for the process planer. The method is designed to generate flexible and efficient routings for those parts with multiple interpretations. The research method is constituted with five major steps: Step 1: Calculate the removal volume of the work piece. Step 2: Find out the removal volume’s open surface, then divide, reconstruct and the volumes. Step 3: Reorganize the volumes according to its topology by comparing with the feature characteristics in feature bank. Step 4: List all logical sequences for volume removal. Step 5: Sift the feasible removal sequences out of the logical sequences, according to criteria such as minimal machine change, minimal tool change, and so on. Two example mill/turn parts are used to demonstrate the proposed method. All graphical and programming algorithms are implemented using ACIS solid modeler with ACIS GUI / API interfaces and Visual C++ programming. A discussion on the extension of the methodology is also provided.
author2 Tzong-ming Cheng
author_facet Tzong-ming Cheng
Bo-cheng Chen
陳柏誠
author Bo-cheng Chen
陳柏誠
spellingShingle Bo-cheng Chen
陳柏誠
Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer
author_sort Bo-cheng Chen
title Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer
title_short Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer
title_full Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer
title_fullStr Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer
title_full_unstemmed Generating the Scheduling-Ready Machining Feature Removal Sequences for the Process Planer
title_sort generating the scheduling-ready machining feature removal sequences for the process planer
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/67484316100295208238
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