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This research explores the torque–angle behavior of M2/M3 screws in automotive applications, focusing on ensuring component reliability and manufacturing precision within the recommended assembly specification limits. M2/M3 screws, often used in tight spaces, are susceptible to issues like stripped threads and inconsistent torque, which can compromise safety and performance. The study’s primary objective is to develop a comprehensive dataset of torque–angle measurements for these screws, facilitating the analysis of key parameters such as torque-to-seat, torque-to-fail, and process windows. By applying Gaussian curve fitting and Gaussian process regression, the research models and simulates torque behavior to understand torque dynamics in small fasteners and remarks on the potential of statistical methods in torque analysis, offering insights for improving manufacturing practices. As a result, it can be concluded that the proposed stochastics methodologies offer the benefit of fail-to-seat ratio improvement, allow inference, reduce the sample size needed in incoming test studies, and minimize the number of destructive test samples needed.
Dataset:
Dataset License: CC-BY-NC
Details
Datasets;
Destructive testing;
Thermal cycling;
Failure;
Torque;
Curve fitting;
Windows (computer programs);
Component reliability;
Process controls;
Quality control;
Lubricants & lubrication;
Automotive materials;
Screws;
Statistical methods;
Gaussian process;
Measurement techniques;
Automobile industry;
Manufacturing;
Deformation;
Fasteners;
Statistical analysis;
Product reliability
; Fernández-Gaxiola, Consuelo Catalina 2
; Rodríguez-Picón, Luis Alberto 1
; Méndez-González, Luis Carlos 1
1 Department of Industrial Engineering and Manufacturing, Autonomous University of Ciudad Juarez, Av. Plutarco Elías Calles 1210, Fovissste Chamizal, Ciudad Juárez 32310, Mexico;
2 Department of International Logistics Engineering, Technological University of Ciudad Juarez, Av. Universidad Tecnológica 3051, Col, Lote Bravo, Ciudad Juárez 32695, Mexico