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Tolerance analysis for automobile transmission shaft based on minimum cost and reliability target
Jiao Luo1, Xintian Liu1, Haijie Wang1
1School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China.
Optimizing transmission shaft design involves balancing product quality and manufacturing costs. This study presents a model linking process capability index (PCI), reliability, tolerance, and cost, achieving a 10.904% cost reduction in a case study.
Area of Science:
- Mechanical Engineering
- Manufacturing Engineering
- Industrial Engineering
Background:
- Designing transmission shafts requires balancing high product quality with reduced manufacturing costs.
- Existing methods may not fully integrate process capability, reliability, tolerance, and cost.
- Optimizing dimensional tolerances is crucial for efficient shaft production.
Purpose of the Study:
- To develop a mathematical model and flowchart for optimizing transmission shaft dimensional tolerances.
- To elucidate the relationship between process capability index (PCI), reliability, tolerance, and manufacturing cost.
- To provide a practical tool for cost reduction in shaft design.
Main Methods:
- Development of a mathematical model considering shaft diameter, material, and manufacturing process characteristics.
- Creation of a flowchart to visualize the interdependencies between key design parameters.
- Application of the model to a real-world case study for validation.
Main Results:
- The proposed model effectively demonstrates the relationship between PCI, reliability, tolerance, and manufacturing cost.
- A significant 10.904% cost reduction was achieved in a practical application within a defined PCI range.
- The model provides a quantifiable approach to tolerance optimization.
Conclusions:
- The developed mathematical model and flowchart are effective tools for optimizing transmission shaft design.
- The methodology facilitates achieving higher product quality while simultaneously lowering manufacturing costs.
- This approach is applicable to various technical fields requiring product design optimization.
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