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Zeitschrift

Journal of Intelligent Manufacturing

Journal of Intelligent Manufacturing OnlineFirst articles

17.10.2018

A deep neural network for classification of melt-pool images in metal additive manufacturing

By applying a deep neural network to selective laser melting, we studied a classification model of melt-pool images with respect to 6 laser power labels. Laser power influenced to form pores or cracks determining the part quality and was …

08.10.2018

Fused magnesia manufacturing process: a survey

This paper provides an overview of the manufacturing process of fused magnesia. A brief introduction to fused magnesia and its industrial production process are presented first. In order to meet the market requirements and reduce costs, fused …

04.10.2018

Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing

In the semiconductor manufacturing process, it is important to identify wafers on which faults have occurred or will occur to avoid unnecessary and costly further processing and physical inspections. This issue can be addressed by formulating the …

01.10.2018

Ontology-based module selection in the design of reconfigurable machine tools

Reconfigurable machine tools (RMTs) are important equipment for enterprises to cope with ever-changing markets because of their flexibility. In design of such equipment, selection of appropriate modules is a very critical decision factor to …

27.09.2018

Condition monitoring and prediction of solution quality during a copper electroplating process

This paper presents a method for the monitoring and prediction of the electrolyte quality during the process of copper electroplating. This is important in industry, as any deviation in the solution quality leads to a deterioration of the quality …

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Über diese Zeitschrift

Published bimonthly, the Journal of Intelligent Manufacturing provides a unique international forum for developers of intelligent manufacturing systems. By publishing quality refereed papers on the application of artificial intelligence in manufacturing, the Journal provides a vital link between the research community and practitioners in industry.

In addition to research papers, the Journal of Intelligent Manufacturing features articles on new methodologies and developments, case studies, surveys, and tutorials on topics related to product design, manufacturing, and service systems. Papers in emerging areas such as biomanufacturing, nanotechnology, and energy are welcome. Periodically special issues on topics of interest to the readership are published.

Officially cited as:

J Intell Manuf

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