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

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.

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Publication Details

Journal
Scientific Reports
Published
2024-08-09
DOI
https://doi.org/10.1038/s41598-024-69372-w
Citations
2
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.70

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article

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

Zhenlong Peng, W.Y. Wang, Gang Wang, GuangTao Xu et al.
2 citations
Scientific Reports
Manufacturing Process and Optimization
0.70
article

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

Zhenlong Peng, W.Y. Wang, Gang Wang, GuangTao Xu, Tianyi Liu, Minghao Zhao, Zeyuan Qiao
article en
2 citations

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.

Scientific ReportsVol. 14(1)
Henan University of Technology (CN), Zhengzhou University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Henan University
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Manufacturing Process and Optimization
0.70
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Batch production prediction for the mechanical cutting industry based on process capability — Zhenlong Peng, W.Y. Wang, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS