Evidence map›Paper›PMID 36365818›Full record

ArticleSensors (Basel, Switzerland)2022

Path Planning of Laser Soldering System Based on Intelligent Algorithm.

Cong Zhang, Zige Fan, Yaonan Dai, Hang Chen, Sikai Wang, Xubing Chen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.2field-weighted citation impact, top 55% of its field
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, 2 citations in OpenAlex.

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 at 1 institution in 1 country.

Cong ZhangSchool of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Zige FanSchool of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Yaonan DaiHubei Provincial Engineering Technology Research Center of Green Chemical Equipment, School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Hang ChenSchool of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Sikai WangSchool of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Xubing ChenSchool of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.
Wuhan Institute of Technology · CN

Funding

Xubing Chen The National Natural Science Foundation of China (51875415) and the Central Guidance on Local Science and Technology Development Foundation of Hubei Province (2019ZYYD010)
6 · The paper itself

Abstract

Laser soldering has been gradually applied to the soldering of electronic components due to the rapid development of microelectronics. However, it is inefficient to use a mechanical shaft to move a laser beam. Here, a laser soldering system is constructed using galvanometer scanning, and an intelligent algorithm is also introduced to optimize the soldering path. Firstly, a laser soldering system for scanning of galvanometers is established, and the functions of visual monitoring, motion planning and parameter integration are presented. Secondly, the position of the laser beam and the corresponding soldering spot are determined, and the coordinate information is provided to plan a route by camera calibration and coordinate system transformation. Finally, the problem of path planning in this system is decomposed into the generation of the soldering point full coverage processing frame, and the route optimization of processing platform and laser beam motion. Furthermore, an improved clustering algorithm, based on the characteristics of system structure, and a hybrid optimization algorithm are designed to deal with the generation of the soldering point full coverage processing frame, the route optimization of processing platform and laser beam motion. In addition, the simulations and experiments are verified by test board. These findings shown that the established system and designed optimization algorithm can promote the efficiency of laser soldering.

Indexed as

hybrid optimization algorithmimproved clustering algorithmlaser soldering systempath planning

Identifiers

PMID36365818
PMCPMC9656395
OpenAlexW4307268353

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.