The tolerance balancing optimization with multiple constraints on the form and function of the discrete functional surface
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View abstract on PubMed
Summary
This summary is machine-generated.Tolerance optimization for discrete functional surfaces requires balancing both form and function. This study proposes a new method to optimize tolerances by considering their impact on surface form and geometric function simultaneously.
Area Of Science
- Mechanical Engineering
- Manufacturing Engineering
- Surface Metrology
Background
- Discrete functional surface performance is significantly influenced by surface form and geometric function.
- Traditional tolerance design often prioritizes geometric function, neglecting the impact on surface form, which is suboptimal for discrete functional surfaces.
- The varying influence of different part tolerances on surface form and geometric function necessitates a more integrated approach.
Purpose Of The Study
- To propose a novel tolerance balancing optimization method for discrete functional surfaces.
- To address the limitations of existing methods that focus solely on geometric function requirements.
- To develop a model that considers multiple constraints on both surface form and geometric function.
Main Methods
- Extraction of crucial tolerances significantly affecting surface form and geometric function to reduce optimization scope.
- Development of a tolerance optimization model incorporating a penalty function for multiple form and function constraints.
- Integration of tolerance contribution into a nonlinear inertial weight particle swarm algorithm for optimization.
Main Results
- Identification of critical tolerances that have the most substantial impact on surface form and geometric function.
- Successful establishment of a tolerance optimization model balancing form and function constraints.
- Achievement of optimized part tolerances that satisfy both geometric function and surface form requirements through the proposed algorithm.
Conclusions
- A tolerance balancing optimization approach is effective for discrete functional surfaces.
- Simultaneously considering surface form and geometric function in tolerance design leads to improved performance.
- The proposed method effectively identifies and optimizes critical tolerances, enhancing the overall manufacturing process.
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