Evidence map›Paper›PMID 40479213›Full record

ArticleInternational journal on interactive design and manufacturing2022

Additive manufacturing: expanding 3D printing horizon in industry 4.0.

Gaurav Prashar, Hitesh Vasudev, Dharam Bhuddhi

Abstract read
In one paragraph

Article in International journal on interactive design and manufacturing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  20. Additive Manufacturing: A Comprehensive Review.Sensors (Basel, Switzerland) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gaurav PrasharSchool of Mechanical Engineering, Lovely Professional University, 144411 Phagwara, India.
Hitesh VasudevSchool of Mechanical Engineering, Lovely Professional University, 144411 Phagwara, India.ORCID 0000-0002-1668-8765
Dharam BhuddhiDivision of Research and Innovation, Uttaranchal University, 248007 Dehradun, Uttarakhand India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Additive Manufacturing (AM) technology enables the production of personalized goods at reduced development costs, shorter lead times, lower energy consumption during manufacturing, and decreased material waste. AM will be consolidated as a leading technology in numerous sectors in the near future due to the maturity of the technology, the wide range of possibilities afforded by 3D printing, and the institutional push. One of the most important aspects of Industry 4.0 is 3D printing. It may be used to fabricate complicated parts and allows companies to cut inventory, develop on-demand items, create smaller localized manufacturing conditions, and even shorten supply chains. AM is expected to increase rapidly in the future because of its above stated remarkable "performance record." According to a report published the AM market is predicted to produce US$2 trillion worth of components and end products by year 2030. Hence integration of smart technology and production systems or indirectly one can say that AM is promoting Industry 4.0 and it plays a pivotal role in solving some of the 4th industrial revolution's most important needs. AM is a future paradigm for futuristic production systems, and Industry 4.0 will leverage its potential to reach essential goals. AM will be found now days in a variety of industrial applications including aerospace and health care to consumer goods. This review article discusses about brief AM technology, history, its industrial applications, challenges, and future prospective. Finally, case studies using AM has been considered.

Indexed as

Additive manufacturingBiomedical industryIndustry 4.0Sustainability

Identifiers

PMID40479213
PMCPMC9256535

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.