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Advances in Industrial and Manufacturing Engineering

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JOURNAL INFORMATION
Publisher Elsevier BV
Open Access YES
Quartile Q1
Citation Count 159
E-ISSN 2666-9129
Categories Engineering (miscellaneous), Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials
Area Industrial and Manufacturing Engineering
Email
Region Western Europe
Country Netherlands
SCOPE

Advances in Industrial and Manufacturing Engineering is a gold open access journal covering all topics in industrial and manufacturing engineering. The journal aims to publish full research papers, review papers and short communications with focus on the fundamental and applied science, as well as innovative technologies advancing the knowledge in handling and manufacturing products on component, system and society level.

The core interest of the journal Advances in Industrial and Manufacturing Engineering is publishing articles that are either original physics-based investigations of processes and/or contributing technological novel ideas for increasing the efficiency and quality of processes by reducing simultaneously the environmental and social impact. A special field of interest of the journal are new methods of educating modern industrial and manufacturing engineers.

Typical areas of interest to the journal include:
Industrial engineering: Plant design, assembly, sustainable manufacturing, supply chain, human factors and (neuro-)ergonomics, life-cycle engineering, robotics and computer-integrated manufacturing systems
Manufacturing: Additive manufacturing, casting, welding, polymer molding, forming and joining by forming, machining, electro-discharge manufacturing, precision engineering, smart manufacturing, virtual manufacturing, machine tools technology, laser technology, artificial intelligence in manufacturing, surfaces and their metrology
Nano- and micro-technologies: Processing nanostructured material, fabrication of micro-systems and nanodevices
Design: Tool design, press design, component design (including manufacturing effects), products performance as a function of manufacturing
Modelling of materials processing: New analytical models, applying existing models to new processes, material characterisation, efficient numerical models, multi-scale models, modelling process chains
Educational contributions: New in-situ experiments, telemetric experiments, augmented reality applications, complex knowledge description, misconceptions, curriculum development in industrial and manufacturing engineering, defining technical terms


Workpiece and tool materials covered in the processes reach from metals, polymers, ceramics to biomaterials.

Summary

  1. Advances in Industrial and Manufacturing Engineering is published by Elsevier BV
  2. It is an oppen access journal
  3. The Subject Area : Industrial and Manufacturing Engineering

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Latest Articles published

Last updated: 17/08/2024

Experimental investigations on the formation mechanisms of shrink lines in powder bed fusion of metals using a laser beam


Last updated: 07/08/2024

A strain acceleration method to identify the onset of diffuse necking


Last updated: 11/06/2024

Retrofitting enables sustainability, Industry 4.0 connectivity, and improved usability


Last updated: 10/06/2024

A simulated annealing metaheuristic approach to hybrid flow shop scheduling problem


Last updated: 29/05/2024

Introducing a novel sheet test specimen for biaxial stretching under uniaxial loading


Last updated: 29/05/2024

Influence of argon, helium, and their mixtures on the powder bed fusion of an Al–Cu–Li–Ti alloy using a laser beam: Evaporation, microstructure, and mechanical properties


Last updated: 29/05/2024

Hydro-assisted incremental forming (HAIF): A formability-enhanced incremental forming process; presenting an experimental method for determination of forming limits with generalized non-planar stress state


Last updated: 29/05/2024

Influence of changing loading directions on damage in sheet metal forming


Last updated: 29/05/2024

G-code evaluation in CNC milling to predict energy consumption through Machine Learning


Last updated: 29/05/2024

Numerical analysis of the dependence of damage on friction during deep drawing of asymmetric geometries