Cloud-Based Engineering Design and Manufacturing: A Survey

Abstract Feature based modeling has been used as a means to bridge the gap between engineering design and manufacturing. Features can represent an artifact with higher level entities which relate directly to its design functionalities and manufacturing characteristics, such as surface finish, manufacturability, fits, tolerance etc. In this study, a heuristic based feature recognition approach is proposed by using the graph representation of a design. The process consists of two steps: subgraph construction, and subgraph to feature identification. In this study, the subgraph construction is accomplished by using a set of heuristic rules. The process of subgraph to feature identification is carried out with a set of integers and characters which represent the geometric, topological, and semantic characteristics of the corresponding feature. This feature recognition scheme is used for the identification of machine features in a design.

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Digital Library Support for Engineering Design and Manufacturing

Volume 2: 19th Computers and Information in Engineering Conference ◽

10.1115/detc99/cie-9080 ◽

1999 ◽

Author(s):

William C. Regli

Keyword(s):

Engineering Design ◽

Digital Library ◽

Research Problem ◽

Knowledge Bases ◽

Mechatronic Systems ◽

Design And Manufacturing ◽

Online Catalogs ◽

Engineering Information ◽

The Right ◽

Support Engineering

Abstract This paper describes our initial efforts to deploy a digital library to support engineering design and manufacturing. This experimental testbed, The Engineering Design Repository, is an effort to collect and archive public domain engineering data for use by researchers and engineering professionals. CAD knowledge-bases are vital to engineers, who search through vast amounts of corporate legacy data and navigate online catalogs to retrieve precisely the right components for assembly into new products. This research attempts to begin addressing the critical need for improved computational methods for reasoning about complex geometric and engineering information. In particular, we focus on archival and reuse of design and manufacturing data for mechatronic systems. This paper presents a description of the research problem and an overview of the initial architecture of testbed.

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Magnetic Separation in Romania

Magnetic Separation News ◽

10.1155/1986/71821 ◽

1986 ◽

Vol 2 (2) ◽

pp. 71-84

Author(s):

Nicolae Rezlescu ◽

Elena-Brandusa Bradu ◽

Gheorghe Iacob ◽

Vasile Badescu ◽

Lavinia Iacob

Keyword(s):

Engineering Design ◽

Magnetic Separation ◽

Design And Manufacturing ◽

Manufacturing Activity

The utilization of the magnetic separators of foreign and Romanian source is presented and the most important achievements in research, engineering design and manufacturing activity concerning the magnetic separation in Romania are reviewed.

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Using the Compromise Decision Support Problem in Microsystem Design: A Formulation for a Miniature Parylene Gas Chromatographic Column

Volume 1: 30th Design Automation Conference ◽

10.1115/detc2004-57582 ◽

2004 ◽

Author(s):

Andrew R. Schnell ◽

Farrokh Mistree ◽

Hongseok Moses Noh ◽

Peter J. Hesketh

Keyword(s):

Gas Chromatography ◽

Decision Support ◽

Engineering Design ◽

Performance Goals ◽

Design Decisions ◽

Design And Manufacturing ◽

Per Se ◽

Microsystem Design ◽

Domain Independent ◽

Insight Into

The concurrent consideration of design and manufacturing requirements at the early stages of design is one of the cited challenges in microsystem design. In this paper, we take the first steps, through an example, towards addressing these issues through the use of the compromise Decision Support Problem (cDSP). The cDSP is a domain-independent hybrid multiobjective decision support formulation utilized in engineering design. The design of a parylene microchannel for a microscale gas chromatography system is refined using the cDSP. The objective is to adjust the geometry of the microchannel to create a satisficing design for one fabrication goal and two performance goals. The cDSP is utilized for five scenarios, one in which all three goals are given equal priority, one for each of three goals when they are given first priority, and one in which the performance goals are given equal priority. We are more interested in demonstrating the method than the results per se. Our goal is to show how microsystem designers can use the cDSP to gain some insight into how these goals interact and how design decisions can be made with this insight.

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