Shedding Mechanism Cost Optimization Data for Product Family Design

Emin Oguz Inci from KU Leuven provides data from numerical examples for cost optimization of a shedding mechanism as a product family. The data contains results from two optimization methods: brute-force and a guided method using sensitivity analysis on component commonalities. Each data point is stored as a .mat file containing design variables for specific commonality matrices.

Use Cases

• Benchmarking guided optimization algorithms against brute-force methods based on the described sensitivity analysis approach.
• Analyzing the impact of component commonality on design cost based on the commonality matrices mentioned in the description.
• Studying trade-offs in four-bar mechanism design based on the design variables of length and motor location.
• Developing new sensitivity analysis techniques for product family cost optimization based on the provided results data.

Strengths

• Data originates from a published academic article, suggesting a research-grade source.
• Includes results from two distinct optimization methods (brute-force and guided) for direct comparison.
• Focuses on a concrete mechanical design problem (shedding mechanism) with defined design variables.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Emin Oguz Inci, KU Leuven

Collection Method

Generated from numerical examples in the associated research article.