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CSME 2024/02
Volume 45 No.1
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41-47
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Reduced Parameter Design Approach to Predict Reliability：A Case Study in A Small-Scale Auto Guided Vehicle
Chen-Hao Leea and Ming-Che Lina
aDepartment of Mechanical Engineering(Jiangong Campus), National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan, R.O.C.
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Abstract:
A new design strategy is applied to multi-target response surface methodology (RSM), the Taguchi method, and dimensional analysis for a small-scale automated guided vehicle (AGV). In the experimental design, four control factors are set to three levels of dimensionless number using the L18 (2^1 x3^7 ) orthogonal table. The new design prototype of the small-scale AGV is constructed using the LEGO EV3 robot system. Optimization analysis of the combined dimensionless parameters reveals that the proposed implementation enhances operational stability. Furthermore, the results can forecast reliability based on vibration values using motor power for streamlined parameter design, serving as a cost-effective substitute for intricate design procedures.
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Keywords: Auto guided vehicle, Reliability, Response surface methodology
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©
2024
CSME , ISSN 0257-9731
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