Abstract Metal additive manufacturing (AM) is an innovative manufacturing technique that can build complex and high value metal parts layer by layer using a computerized three‐dimensional solid model. Powder bed fusion (PBF) is one of the most common AM techniques. It sequentially processes a powdered feedstock in thin layers and solidifies it by either a…
Journal of Advanced Manufacturing and Processing Template
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About the Journal of Advanced Manufacturing and Processing format
Journal of Advanced Manufacturing and Processing is a peer-reviewed journal published by Wiley, covering Process Optimization and Integration, Manufacturing Process and Optimization, Digital Transformation in Industry.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Advanced Manufacturing and Processing 12 (3): 45–58.
Formats any DOI in Journal of Advanced Manufacturing and Processing style. No sign-up. |
| Publishes research in | Process Optimization and Integration Manufacturing Process and Optimization Digital Transformation in Industry Recycling and Waste Management Techniques Sustainable Supply Chain Management |
| ISSN | 2637-403X |
| Citation impact (2-yr) | 1.12 |
| h-index | 20 |
| i10-index | 50 |
| Total citations | 2,231 |
| Article processing charge | $3,660 |
| Top institutions publishing here | Georgia Institute of Technology |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Advanced Manufacturing and Processing per year
Citation impact of Journal of Advanced Manufacturing and Processing by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Advanced Manufacturing and Processing
Abstract Artificial intelligence (AI) and machine learning (ML) can improve manufacturing efficiency, productivity, and sustainability. However, using AI in manufacturing also presents several challenges, including issues with data acquisition and management, human resources, infrastructure, as well as security risks, trust, and implementation challenges. For example, getting the data needed to train AI models can be…
Abstract Energy systems and manufacturing processes of the 21st century are becoming increasingly dynamic and interconnected, which require new capabilities to effectively model and optimize their design and operations. Such next generation computational tools must leverage state‐of‐the‐art techniques in optimization and be able to rapidly incorporate new advances. To address these requirements, we have developed…
Overcoming pandemics, such as the current Covid-19 outbreak, requires the manufacture of several billion doses of vaccines within months. This is an extremely challenging task given the constraints in small-scale manufacturing for clinical trials, clinical testing timelines involving multiple phases and large-scale drug substance and drug product manufacturing. To tackle these challenges, regulatory processes are…
Abstract Thermal spraying (TS) is a suitable method to protect a substrate or to improve its surface properties and achieve the specific surface requirements for a prescribed service environment. In this method the feedstock material is heated up to a melted or semi‐melted state, accelerated to high speed by an energetic flow and sprayed onto…