Evidence map›Paper›PMID 31480349›Full record

ArticleSensors (Basel, Switzerland)2019

Simulation-Based Design and Optimization of Accelerometers Subject to High-Temperature and High-Impact Loads.

Ji Li, Yaling Tian, Junjie Dan, Zhuming Bi, Jinhui Zheng, Bailin Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Ji LiCollege of Mechanical and Electrical Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100, China.
Yaling TianSchool of Intelligent Manufacturing, Chengdu Technological University, Chengdu 610071, China. tianyaling-grey@126.com.
Junjie DanManufacturing Department, Aviation Industry Corporation of China, Ltd., Chengdu Aircraft, Chengdu 610092, China.
Zhuming BiDepartment of Civil and Mechanical Engineering, Purdue University Fort Wayne, Fort Wayne, IN 46805, USA.
Jinhui ZhengCollege of Mechanical and Electrical Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100, China.
Bailin LiCollege of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to multi-factor coupling behavior, the performance evaluation of an accelerometer subject to high-temperature and high-impact loads poses a significant challenge during its design phase. In this paper, the simulation-based method is applied to optimize the design of the accelerometer. The proposed method can reduce the uncertainties and improve the fidelity of the simulation in the sense that (i) the preloading conditions of fasteners are taken into consideration and modeled in static analysis; (ii) all types of loadings, including bolt preloads, thermal loads, and impact loads, are defined in virtual dynamic prototype of the accelerometer. It is our finding that from static and dynamic analysis, an accelerometer is exposed to the risk of malfunction and even a complete failure if the temperature rises to a certain limit; it has been proved that the thermal properties of sensing components are the most critical factors for an accelerometer to achieve its desired performance. Accordingly, we use a simulation-based method to optimize the thermal expansion coefficient of the sensing element and get the expected design objectives.

Indexed as

accelerometerbolt preloaddynamic analysishigh-temperature high-impact (thermal impact)multi-factor couplingstatic analysisvirtual experiment

Identifiers

PMID31480349
PMCPMC6749502

What OpenQuestion holds

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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.