2001
DOI: 10.1080/00207540110035228
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Reverse engineering of machining operation planning

Abstract: Computer-aided process planning (CAPP) is becoming increasingly crucial to today's computer-integrated manufacturing (CIM) and rapid production. To automate the process planning, feature-based operation planning systems have been suggested and studied extensively. In such a system, given a machining feature, the operator requires practical machining operation data for the feature. In this research, a system of reverse engineering is proposed to extract machining features and their associated machining operatio… Show more

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Cited by 5 publications
(3 citation statements)
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“…6) To understand and apply computer aided manufacturing (CAM) software, and to obtain the G-code for manufacturing components using CNC machine tool [7].…”
Section: )mentioning
confidence: 99%
See 1 more Smart Citation
“…6) To understand and apply computer aided manufacturing (CAM) software, and to obtain the G-code for manufacturing components using CNC machine tool [7].…”
Section: )mentioning
confidence: 99%
“…On the basis of the virtual 3-dimensional Solidworks model, students designed CNC machining operations by defining: the type of process, the type of operation, cutting parameters, and tool selection. This software enabled the simulation of defined machining operations, where student could verify if they have been correctly defined [7]. The first step was to plan the inside of the model, prior to profiling with the corresponding finishing operation, and final drilling.…”
Section: Computer Aided Manufacturing (Cam)mentioning
confidence: 99%
“…RD is widely used in various areas of product development. Examples of the RD applications include: rapid manufacturing of complex components [1]; extracting machining features and machining operations [2]; creating CAD models of the die and machining the die [3]; integrating with product rapid prototyping [4]; and Internet-based applications of product design [5].…”
Section: Introductionmentioning
confidence: 99%