Automated creation of production metrology recipes based on design information

Author(s):  
Jason P. Cain ◽  
Mark Threefoot ◽  
Kishan Shah ◽  
Bernd Schulz ◽  
Stefanie Girol-Gunia ◽  
...  
1992 ◽  
Vol 26 (9-11) ◽  
pp. 2357-2360
Author(s):  
J. Zagorc-Koncan ◽  
M. Dular

A laboratory river model for the study of self-purification inhibition in a stream containing toxic substances is presented. It enables an engineering - technological prediction of the impact of toxic substances or wastewaters on dissolved oxygen (DO) profile in an organically polluted river downstream from the point of entry of toxic effluent thus providing rapidly and inexpensively significant design information to an environmental scientist or engineer. The method was applied to the toxicity evaluation of wastewaters from electroplating industry. The effects of copper, cyanide (representing two significant constituents of this type of wastewaters) and wastewater from electroplating industry on the biodegradation of organic municipal pollution in receiving stream were evaluated experimentally.


2009 ◽  
Vol 60 (9) ◽  
pp. 1874-1876
Author(s):  
Lois F. Lunin ◽  
Kathi Martin ◽  
Samantha K. Hastings

Author(s):  
Dileep V. Khadilkar ◽  
John A. Gershenson ◽  
Larry A. Stauffer

Abstract We developed a new database tool to manage information during the product definition process. This tool is a result of an ongoing research program to coordinate marketing and design engineering efforts in new product developments, and consider the related life cycle issues early in the design process. The database tool facilitates a methodology that integrates customer and design information, and allows reuse of this information during redesign problems. This paper presents the development, implementation, and an example use of the database tool.


Author(s):  
Michael J. Viste ◽  
David M. Cannon

Abstract One of Allen-Bradley’s goals is leveraging — taking better advantage of existing resources. We are developing a methodology and supporting tools that help engineers share and reuse (i.e., leverage) their firmware design and development work. Writing reusable firmware source code is especially difficult due to the tight constraints in most embedded systems — code must usually be written for product specific hardware needs and resources. Reuse of engineering work at the design level is a more effective approach. With this in mind, we have been working with Allen-Bradley Power Products engineers and managers to pilot a Firmware Design Capture (FDC) system. In a FDC system, engineers work in their own paper or electronic workbooks compiling descriptions of their domains’ technologies and algorithms in loosely structured electronic document sets called technology books. Product-specific information is placed in complementary document sets called product books. Engineers can access this growing body of ‘Strategic Design Information’ that they and others have created; freely drawing from, commenting on, or adding to it. Key characteristics of this FDC system are: • A focus on collecting reusable and accessible design information • Incremental, small-grained development of documents during design activity • Electronic format of documents, for ease of refinement and access • Unobtrusive tools and methods, determined through frequent user feedback We expect this methodology to help engineers improve schedule predictability and reduce the firmware development life cycle, better retain vital technologies and product data, and increase product quality. Feedback from our initial work supports these expectations.


2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Feng Shi ◽  
Liuqing Chen ◽  
Ji Han ◽  
Peter Childs

With the advent of the big-data era, massive information stored in electronic and digital forms on the internet become valuable resources for knowledge discovery in engineering design. Traditional document retrieval method based on document indexing focuses on retrieving individual documents related to the query, but is incapable of discovering the various associations between individual knowledge concepts. Ontology-based technologies, which can extract the inherent relationships between concepts by using advanced text mining tools, can be applied to improve design information retrieval in the large-scale unstructured textual data environment. However, few of the public available ontology database stands on a design and engineering perspective to establish the relations between knowledge concepts. This paper develops a “WordNet” focusing on design and engineering associations by integrating the text mining approaches to construct an unsupervised learning ontology network. Subsequent probability and velocity network analysis are applied with different statistical behaviors to evaluate the correlation degree between concepts for design information retrieval. The validation results show that the probability and velocity analysis on our constructed ontology network can help recognize the high related complex design and engineering associations between elements. Finally, an engineering design case study demonstrates the use of our constructed semantic network in real-world project for design relations retrieval.


1980 ◽  
Vol 7 (1) ◽  
pp. 1-18 ◽  
Author(s):  
D. A. Taylor

The National Building Code of Canada requires buildings to be designed to carry uniformly and nonuniformly distributed snow loads and the "Commentary on Snow Loads" in Supplement No. 4 to the National Building Code of Canada gives detailed design information. This paper discusses the material given in the 1977 commentary and supplements it with examples and photographs.


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