Evidence map›Paper›PMID 40805504›Full record

ArticleMaterials (Basel, Switzerland)2025

Hybrid Laser Cleaning of Carbon Deposits on N52B30 Engine Piston Crowns: Multi-Objective Optimization via Response Surface Methodology.

Yishun Su, Liang Wang, Zhehe Yao, Qunli Zhang, Zhijun Chen, Jiawei Duan, Tingqing Ye, Jianhua Yao

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yishun SuCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Liang WangCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Zhehe YaoCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.ORCID 0000-0001-5252-463X
Qunli ZhangCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.ORCID 0000-0002-9950-1651
Zhijun ChenCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Jiawei DuanDITT Hangzhou Digital Technology Co., Ltd., Hangzhou 310020, China.
Tingqing YeHangzhou CRRC Vehicle Co., Ltd., Hangzhou 311223, China.
Jianhua YaoCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Funding

Longyou County Science and Technology Program JHXM2023072The National Key Research and Development Program of China 2022YFB4601502Zhejiang Provincial "Pioneer" Research and Development Program‌ 2023C01064
6 · The paper itself

Abstract

Carbon deposits on the crown of engine pistons can markedly reduce combustion efficiency and shorten service life. Conventional cleaning techniques often fail to simultaneously ensure a high carbon removal efficiency and maintain optimal surface integrity. To enable efficient and precise carbon removal, this study proposes the application of hybrid laser cleaning-combining continuous-wave (CW) and pulsed lasers-to piston carbon deposit removal, and employs response surface methodology (RSM) for multi-objective process optimization. Using the N52B30 engine piston as the experimental substrate, this study systematically investigates the combined effects of key process parameters-including CW laser power, pulsed laser power, cleaning speed, and pulse repetition frequency-on surface roughness (Sa) and carbon residue rate (RC). Plackett-Burman design was employed to identify significant factors, the method of the steepest ascent was utilized to approximate the optimal region, and a quadratic regression model was constructed using Box-Behnken response surface methodology. The results reveal that the Y-direction cleaning speed and pulsed laser power exert the most pronounced influence on surface roughness (F-values of 112.58 and 34.85, respectively), whereas CW laser power has the strongest effect on the carbon residue rate (F-value of 57.74). The optimized process parameters are as follows: CW laser power set at 625.8 W, pulsed laser power at 250.08 W, Y-direction cleaning speed of 15.00 mm/s, and pulse repetition frequency of 31.54 kHz. Under these conditions, the surface roughness (Sa) is reduced to 0.947 μm, and the carbon residue rate (RC) is lowered to 3.67%, thereby satisfying the service performance requirements for engine pistons. This study offers technical insights into the precise control of the hybrid laser cleaning process and its practical application in engine maintenance and the remanufacturing of end-of-life components.

Indexed as

carbon residue rateengine piston crownshybrid laser cleaningmulti-objective optimizationresponse surface methodologysurface roughness

Identifiers

PMID40805504
PMCPMC12348276

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.