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Blade size and weight effects in shovel design
1Department of Industrial and Management Systems Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
Applied Ergonomics
|March 1, 1990
Summary
Optimizing shovel design involves balancing blade size and weight. The ideal ratio minimizes energy expenditure for efficient shoveling, with lighter tools preferred by users.
Area of Science:
- Ergonomics and Human Factors
- Biomechanics
- Occupational Health
Background:
- Shovels are fundamental tools with minimal design evolution.
- Previous research identified effects of shovel weight and blade size, but lacked quantification of their interplay.
- Understanding the optimal trade-off is crucial for improving shoveling efficiency and reducing physical strain.
Purpose of the Study:
- To quantify the relationship between shovel weight and blade size in relation to energy expenditure and performance.
- To determine the optimal blade-size/shovel-weight ratio for efficient sand shoveling.
- To assess user preference based on perceived exertion.
Main Methods:
- Five subjects performed sand shoveling tasks using five different shovels with varied blade sizes and weights.
- Measurements included energy expenditure, heart rate, ratings of perceived exertion, and shoveling performance.
- Energy expenditure was normalized to subject weight and load handled.
Main Results:
- Normalized energy expenditure showed a quadratic relationship with the blade-size/shovel-weight (B/W) ratio.
- The minimum energy cost occurred at a B/W ratio of 0.0676 m²/kg, corresponding to an acceptable energy expenditure of 5.16 kcal/min.
- Subjects preferred lighter shovels, irrespective of blade size, and perceived heavier shovels or oversized blades as increasing energy expenditure.
Conclusions:
- The optimal shovel design balances blade size and weight to minimize energy expenditure for tasks like sand shoveling.
- Deviations from the optimal B/W ratio, either too large a blade or too heavy a shovel, increase energy costs.
- User preference aligns with lighter tools, suggesting that perceived exertion is a significant factor in tool selection and efficiency.
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