Skip to main content
main-content

Zeitschrift

Integrating Materials and Manufacturing Innovation

Integrating Materials and Manufacturing Innovation OnlineFirst articles

20.06.2018 | Thematic Section: 4th World Congress on Integrated Computational Materials Engineering

Systems Design Approach to Low-Cost Coinage Materials

A systems approach within an integrated computational materials engineering framework was used to design three new low-cost seamless replacement coinage alloys to reduce the raw material cost of the current US coinage alloys. Maintaining …

20.06.2018 | Thematic Section: 4th World Congress on Integrated Computational Materials Engineering Open Access

An ICME Process Chain for Diffusion Brazing of Alloy 247

A virtual process chain for diffusion brazing of Ni-based superalloys is presented for the example of Alloy 247. Besides phase-field simulation of different brazing processes, the chain includes solidification with equiaxed and columnar …

15.06.2018 | Technical Article

A Comparative Study of Feature Selection Methods for Stress Hotspot Classification in Materials

The first step in constructing a machine learning model is defining the features of the dataset that can be used for optimal learning. In this work, we discuss feature selection methods, which can be used to build better models, as well as achieve …

29.05.2018 | Technical Article

Machine Learning Prediction of Heat Capacity for Solid Inorganics

Many thermodynamic calculations and engineering applications require the temperature-dependent heat capacity (Cp) of a material to be known a priori. First-principle calculations of heat capacities can stand in place of experimental information …

Aktuelle Ausgaben

Über diese Zeitschrift

Integrating Materials and Manufacturing Innovation is committed to building a seamless and dynamic materials and manufacturing design framework supporting the accelerated discovery, development, and application of materials and processes. The journal explores innovations from the discovery of materials through their manufacture that support the practice of Integrated Computational Materials Engineering (ICME). IMMI focuses on presenting new experimental and computational tools, data analysis and management methods, and valuable multiscale datasets, and on the impact the use of an ICME approach has on advancing materials and manufacturing technologies.

As of January 1, 2017, IMMIwill convert from an Open Access journal to a subscription journal. IMMI will continue to be published by Springer Nature. All new manuscripts should be submitted via the new editorial submission site www.editorialmanager.com/immj.

IMMI is a publication of The Minerals, Metals & Materials Society (TMS).

Weitere Informationen

Premium Partner

in-adhesivesMKVSNeuer Inhalt

BranchenIndex Online

Die B2B-Firmensuche für Industrie und Wirtschaft: Kostenfrei in Firmenprofilen nach Lieferanten, Herstellern, Dienstleistern und Händlern recherchieren.

Whitepaper

- ANZEIGE -

Künstliche Intelligenz und die Potenziale des maschinellen Lernens für die Industrie

Maschinelles Lernen ist die Schlüsseltechnologie für intelligente Systeme. Besonders erfolgreich ist in den letzten Jahren das Lernen tiefer Modelle aus großen Datenmengen – „Deep Learning“. Mit dem Internet der Dinge rollt die nächste, noch größere Datenwelle auf uns zu. Hier bietet die Künstliche Intelligenz besondere Chancen für die deutsche Industrie, wenn sie schnell genug in die Digitalisierung einsteigt.
Jetzt gratis downloaden!

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

Bildnachweise