Batch production prediction for the mechanical cutting industry based on process capability.

Guangtao Xu, Tianyi Liu, Weichuan Wang, Zeyuan Qiao, Gang Wang, Zhenlong Peng, Minghao Zhao

Abstract read

In one paragraph

Article in Scientific reports, 2024. 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

7 authors.

Guangtao XuSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Tianyi LiuSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Weichuan WangSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Zeyuan QiaoSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Gang WangSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Zhenlong PengSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China. pengzl@zzu.edu.cn.

Minghao ZhaoSchool of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the mechanical cutting industry, trial production is used for predicting and evaluating the quality of product processes before batch production, and it can be expressed through the qualification rate. However, it cannot objectively and comprehensively evaluate the quality of product processes. This study optimizes the analysis of outliers and stability in mathematical statistics to better apply it in the mechanical cutting industry; then, it combines them with process capability analysis. Simultaneously, considering the non-normal distribution of process parameters, a batch production-prediction model is proposed. The reliability of batch production-prediction model is verified by the diameter, roundness and roughness of structural common samples. Meanwhile, for other mechanical parts in the mechanical cutting industry, the model proposed in this paper can be used to quickly and accurately predict and evaluate batch production.

Indexed as

Batch production-predictionNon-normal distributionOutliersProcess capabilityProcess performanceStability

Identifiers

PMID39122861

DOI10.1038/s41598-024-69372-w

PMCPMC11316087

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

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.