What does this research mean for the field?

A multi-objective optimization scheme combining a thermal-structural-modal coupling analysis model and a quadratic response surface algorithm can reduce brake disc mass by over 3.5% while optimizing vibration suppression and maintaining thermal and structural performance. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Develop a multi-objective optimization scheme to simultaneously minimize brake disc mass and suppress vibration without compromising thermal and mechanical durability.

September 12, 2026Journal of VibroengineeringOpen Access

Optimization of vibration suppression effect of disc brake based on quadratic response surface algorithm

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Authors

HCHongyan Cui

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Overview

Computational study demonstrates a multi-objective optimization framework for automotive disc brakes, indicating over 3.5% mass reduction while damping vibration and preserving thermal durability.

Key Points

Develop a multi-objective optimization scheme to simultaneously minimize brake disc mass and suppress vibration without compromising thermal and mechanical durability.
Constructed a thermal-structural-modal coupling finite element model to simulate transient temperature, stress, and pre-stress modal responses, validated against physical tests.
Applied Central Composite Design (CCD) to create a quadratic response surface surrogate model linking structural parameters to peak stress, temperature, mass, and natural frequency.
Executed multi-dimensional optimization using the Sequential Quadratic Programming (SQP) algorithm with mass minimization as the primary objective.
Reduced overall brake disc mass by more than 3.5% while adhering to all thermal and mechanical boundary conditions.
Shifted the first-order natural frequency into the target range of 1400–1800 Hz without increasing peak thermal stress, effectively suppressing modal coupling resonance.

Cite This Study

Hongyan Cui (2026) studied this question.

synapsesocial.com/papers/6aa51ebf327956e4761f89a1 https://doi.org/10.21595/jve.2026.26468

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September 12, 2026Journal of VibroengineeringOpen Access

Optimization of vibration suppression effect of disc brake based on quadratic response surface algorithm

View Full Paper

Ask AI

Bookmark

Authors

HCHongyan Cui

Discussion

Member takes

Overview

Computational study demonstrates a multi-objective optimization framework for automotive disc brakes, indicating over 3.5% mass reduction while damping vibration and preserving thermal durability.

Key Points

Develop a multi-objective optimization scheme to simultaneously minimize brake disc mass and suppress vibration without compromising thermal and mechanical durability.
Constructed a thermal-structural-modal coupling finite element model to simulate transient temperature, stress, and pre-stress modal responses, validated against physical tests.
Applied Central Composite Design (CCD) to create a quadratic response surface surrogate model linking structural parameters to peak stress, temperature, mass, and natural frequency.
Executed multi-dimensional optimization using the Sequential Quadratic Programming (SQP) algorithm with mass minimization as the primary objective.
Reduced overall brake disc mass by more than 3.5% while adhering to all thermal and mechanical boundary conditions.
Shifted the first-order natural frequency into the target range of 1400–1800 Hz without increasing peak thermal stress, effectively suppressing modal coupling resonance.

Cite This Study

Hongyan Cui (2026) studied this question.

synapsesocial.com/papers/6aa51ebf327956e4761f89a1 https://doi.org/10.21595/jve.2026.26468

View Full Paper

Ask AI

Bookmark