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Application of Design Aspects in Uniaxial Loading Machine Development
Published on: September 19, 2018
Study of Optimal Cam Design of Dual-Axle Spring-Loaded Camming Device.
David Rybansky1,2, Martin Sotola1,2, Pavel Marsalek1,2
1Department of Applied Mechanics, Faculty of Mechanical Engineering, VŠB-Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava, Czech Republic.
Optimizing the internal shape of dual-axle spring-loaded camming devices (SLCDs) reduces weight while maintaining stiffness. This study used topology optimization to improve the cam design for better climbing safety equipment.
Area of Science:
- Mechanical Engineering
- Materials Science
- Sports Engineering
Background:
- Spring-loaded camming devices (SLCDs), or
- friends
- , are crucial for climber safety, preventing falls by expanding within rock cracks.
- Current SLCD designs have potential for weight reduction, particularly in the internal cam shape, without compromising structural integrity.
- The dual-axle SLCD configuration offers opportunities for design optimization.
Purpose of the Study:
- To optimize the internal cam shape of dual-axle SLCDs to improve the weight/stiffness trade-off.
- To develop computational models for analyzing and refining SLCD cam geometry.
- To ensure new designs meet practical industry requirements for commercial application.
Main Methods:
- Two computational models of a dual-axle SLCD cam were created.
- Multi-step topology optimization (TOP) was applied to the internal cam shape.
- Parametric curves were used to smoothen the optimized cam geometry.
- The load-bearing capacity of the redesigned cam was analyzed.
Main Results:
- Topology optimization identified areas for material reduction in the cam's internal structure.
- The optimized cam design demonstrated a favorable weight/stiffness ratio compared to conventional designs.
- Smoothened cam geometry using parametric curves facilitated analysis and potential manufacturing.
Conclusions:
- The internal cam shape of dual-axle SLCDs can be significantly optimized for weight reduction while preserving stiffness.
- Computational topology optimization is an effective method for improving the design of climbing safety equipment.
- The findings provide a basis for developing lighter and potentially more efficient commercial SLCDs.
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