Automatic production of NC code for machining form features in generic parts

1992 ◽  
Vol 3 (6) ◽  
pp. 287 ◽  
Author(s):  
Glauco Masotti ◽  
Tiziano Bombardi
Keyword(s):  
Automatic Production ◽  
Nc Code ◽  
Form Features

Continuous automatic production line for porcelain plates

1969 ◽  
Vol 26 (6) ◽  
pp. 356-357
Author(s):  
I. I. Moroz ◽  
M. G. Sivchikova ◽  
G. G. Sarkisov ◽  
L. L. Oleinik
Keyword(s):  
Production Line ◽  
Automatic Production ◽  
Automatic Production Line

scholarly journals A tool for finding inclusion clusters in steel SEM specimens

2020 ◽  
Vol 10 (1) ◽  
pp. 642-648
Author(s):  
Anna-Mari Wartiainen ◽  
Markus Harju ◽  
Satu Tamminen ◽  
Leena Määttä ◽  
Tuomas Alatarvas ◽  
...  
Keyword(s):  
Prediction Models ◽  
Microscopic Analysis ◽  
Steel Specimen ◽  
Sem Analysis ◽  
Quality Prediction ◽  
Automatic Production ◽  
Automatic Interpretation ◽  
Metallic Inclusions ◽  
Purity Analysis ◽  
Inclusions In Steel

AbstractNon-metallic inclusions, especially large or clustered inclusions, in steel are usually harmful. Thus, the microscopic analysis of test specimens is an important part of the quality control. This steel purity analysis produces a large amount of individual inclusion information for each test specimen. The interpretation of the results is laborious and the comparison of larger product groups practically impossible. The purpose of this study was to develop an easy-to-use tool for automatic interpretation of the SEM analysis to differentiate clustered and large inclusions information from the manifold individual inclusion information. Because of the large variety of the potential users, the tool needs to be applicable for any steel grade and application, both for liquid and final product specimen, to analyse automatically steel specimen inclusions, especially inclusion clusters, based on the INCA Feature program produced data from SEM/EDS. The developed tool can be used to improve the controlling of the steel purity or for automatic production of new inclusion cluster features that can be utilised further in quality prediction models, for example.

FREE FORM FEATURES FOR AESTHETIC DESIGN

2000 ◽  
Vol 06 (02) ◽  
pp. 273-302 ◽  
Author(s):  
MARZIA FONTANA ◽  
FRANCA GIANNINI ◽  
MARIA MEIRANA
Keyword(s):  
Free Form ◽  
Aesthetic Design ◽  
Form Features

scholarly journals Automatic production of end user documentation for DSLs

2018 ◽  
Vol 54 ◽  
pp. 337-357 ◽  
Author(s):  
Gwendal Le Moulec ◽  
Arnaud Blouin ◽  
Valérie Gouranton ◽  
Bruno Arnaldi
Keyword(s):  
End User ◽  
Automatic Production

Geometry-Based Index for Predicting Sink Mark in Plastic Parts

1991 ◽  
Author(s):  
Kurt Beiter ◽  
Kosuke Ishii ◽  
Lee Hornberger
Keyword(s):  
Process Conditions ◽  
Plastic Part ◽  
Design Rules ◽  
Packing Pressure ◽  
Molded Parts ◽  
Injection Molded ◽  
Form Features ◽  
Plastic Parts ◽  
Sink Mark

Abstract This paper describes the development of geometry-based indices that predict sink mark depth in injection molded parts. Plastic part designers need such indices to incorporate manufacturability concerns at the conceptual stage of design. These indices apply to several form features so engineers do not have to check different design rules for each geometry element. First, we propose a geometry-based sink index that can be used to predict sink mark depth as a function of process conditions such as packing pressure. Next, we explain how this relationship is identified through experiments. We also describe HyperDesign/Plastics, a Macintosh-based design aid that incorporates the sink index.

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