Evidence map›Paper›PMID 42195481›Full record

ReviewMicromachines2026

Wall Thinning Monitoring in Boiler U-Bends: A Review and Future Prospects with Fiber Optic Sensing.

Aayush Madan, Wenyu Jiang, Yixin Wang, Yaowen Yang, Jianzhong Hao, Perry Ping Shum

Abstract readReview
In one paragraph

Review in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Aayush MadanSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-5697-3723
Wenyu JiangInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore.ORCID 0000-0001-6368-5965
Yixin WangInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore.
Yaowen YangSchool of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-7856-2009
Jianzhong HaoInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore.ORCID 0000-0002-9514-5194
Perry Ping ShumGuangdong Key Laboratory of Integrated Optoelectronics IntelliSense, Southern University of Science and Technology, Shenzhen 518055, China.

Funding

the National Research Foundation, Prime Minister's Office, Singapore under the Sembcorp-Energy Market Authority Energy Technology Partnership No. NRF2015EWT-EIRP001-010
6 · The paper itself

Abstract

Tube boilers are extensively employed in oil and gas refineries, as well as in petroleum, energy, and power generation industries, where they serve critical functions in local steam-generation units and combined-cycle gas turbine (CCGT) plants. However, these boilers are prone to defects arising from waterside corrosion (e.g., thinning of U-bend tubes), fireside corrosion, and material degradation caused by stress or creeping. Among these issues, wall thinning of tube bends is particularly severe, as it results in localized metal loss, reduced structural integrity, and an elevated risk of tube rupture or failure under high-temperature and high-pressure operating conditions. Such failures can significantly compromise boiler safety and efficiency, potentially leading to forced outages, costly unplanned repairs, or catastrophic damage if not detected in time. The current condition-monitoring policy for U-bends relies on scheduled preventive maintenance and unscheduled corrective interventions. In practice, this involves randomly checking approximately 10-20% of the tubes through spot scanning, partial scanning, or full scanning, with repairs typically carried out only after an undetected failure occurs. Such maintenance strategies generally require plant shutdowns, making the process time-consuming, labor-intensive, and ultimately not cost-effective. This paper reviews existing solutions, technologies, and research addressing the problem, and introduces femtosecond laser micromachined fiber optic sensors as a transformative approach for real-time monitoring of wall thickness reduction in U-bend boiler tubes, thereby opening pathways for further research.

Indexed as

boiler U-bendsFBG micromachiningfiber-optic sensingnon-destructive testingwall thinning monitoring

Identifiers

PMID42195481
PMCPMC13208726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.