Simulation and 3D Printing Data for Functional Multi-Response Quality Design

A 9.2 MB collection of files supporting a paper proposing a Bayesian semi-parametric method for quality design with functional multi-response data. The dataset, authored by Xiaoying Chen and last updated on 2026-04-25, includes simulation examples and 3D printing examples to verify the proposed modeling and optimization method. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Testing Bayesian semi-parametric mixed-effects models based on the described two-stage modeling strategy.
• Optimizing parameter settings for multi-response systems based on the described weighted multivariate quality loss function.
• Benchmarking methods for handling diverse curve patterns in functional responses over time or location.
• Validating quality design approaches for complex products like 3D printing based on the included examples.

Strengths

• Includes both simulation and real-world 3D printing examples to verify the method.
• Dataset is 9.2 MB in size, indicating a contained and likely focused set of supporting files.
• Released under a permissive CC-BY-4.0 license for open reuse.
• Last update timestamp is precisely recorded as 2026-04-25 10:41:59.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The primary file formats are PDF, JPEG, BLG, and TEX, suggesting the data may be embedded within documents or code rather than in a standalone structured table.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely generated for the research paper, combining simulated data and experimental results from 3D printing.

Time Range

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Freshness

Last updated 2026-04-25 10:41:59; freshness should be verified

Geography

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