Application of Bayesian Statistics in Analyzing and Predicting Carburizing-Induced Dimensional Changes in Torsion Bars DOI Open Access

Guojin Sun,

Linqian Xu,

Qi Wang

et al.

Published: July 18, 2024

This paper explores the feasibility of applying Bayesian statistical methods to study distortion patterns induced by carburizing heat treatment. By establishing posterior and predictive distribution models for torsion bar dimensions, we aim accurately understand predict expansion behavior, thus enhancing control over carburizing-induced dimensional changes. allow integration prior knowledge real-time data, providing a more comprehensive understanding phenomena. approach not only improves precision predictions but also contributes optimizing overall manufacturing process, ensuring that bars meet rigorous standards required high-performance applications in demanding industrial environments.

Language: Английский

Application of Bayesian Statistics in Analyzing and Predicting Carburizing-Induced Dimensional Changes in Torsion Bars DOI Open Access

Guojin Sun,

Linqian Xu,

Qi Wang

et al.

Published: July 18, 2024

This paper explores the feasibility of applying Bayesian statistical methods to study distortion patterns induced by carburizing heat treatment. By establishing posterior and predictive distribution models for torsion bar dimensions, we aim accurately understand predict expansion behavior, thus enhancing control over carburizing-induced dimensional changes. allow integration prior knowledge real-time data, providing a more comprehensive understanding phenomena. approach not only improves precision predictions but also contributes optimizing overall manufacturing process, ensuring that bars meet rigorous standards required high-performance applications in demanding industrial environments.

Language: Английский

Citations

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