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Disassembly sequence generation using a neural network approach : Hsin-Hao (Tom) Huang, Michael H. Wang, Michael R. Johnson, v19, n2, 2000, pp73–82


Publisher
Society of Manufacturing Engineers
Year
2002
Tongue
English
Weight
154 KB
Volume
21
Category
Article
ISSN
0278-6125

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✦ Synopsis


This paper presents an assessment of the steps involved in trajectory synthesis (for example, trajectory layout, trajectory generation, trajectory spacing, trajectory postprocessing, and trajectory verification) for shapecreating manufacturing operations such as rapid prototyping, milling, and electrical discharge machining. The rationale for this paper is that trajectory plays an important role in determining productivity, as explained below.

Shape-creating manufacturing operations are those that make use of a "tool" that operates on a "workpiece" to create the desired shape. The tool operates on the workpiece as dictated by the trajectory of the tool, resulting in the manufactured shape. Often, the geometric and functional properties of the end product are dependent on the trajectory of the tool. Moreover, the trajectory dictates the accuracy of the end product and the time taken to manufacture the product. Recognizing the important contribution of the trajectory in shapecreating operations, this paper therefore focuses on trajectory synthesis.


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Disassembly sequence generation using a
✍ Hsin-Hao (Tom) Huang; Michael H. Wang; Michael R. Johnson 📂 Article 📅 2000 🏛 Society of Manufacturing Engineers 🌐 English ⚖ 878 KB

The problem of disassembly sequence generation is complex and has proven to be difficult to solve. Various methods have been used in attempting to solve the problem, including mathematical modeling and search techniques. This paper first presents the economic analysis method of the disassembly proce