Research on assembly reliability control technology for computer numerical control machine tools

Ran, Yan; Zhang, Genbao; Pang, Jihong

doi:10.1177/1687814016685225

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…The structure of a meta-action unit generally consists of the associated five structural elements, namely, power input part, supporting part, transmission part, fastener, and power output part. 57 In terms of the realization of the stipulated motion and functions, a meta-action unit comprises power supply, bracket of parts, connection of motion, part fixing, and implementing of power which are corresponding with the above five structural elements of a meta-action unit, respectively. In an electromechanical system or subsystem, the accomplishment of its given functions requires multiply ordered and associated meta-action units with synergistic motions in light of the designated rule.…”

Section: Function-motion-action Decomposition Methodsmentioning

confidence: 99%

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Wang

Ran

et al. 2021

Quality & Reliability Eng

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Failure mode and effects analysis is a widely applied risk assessment method in various engineering and management domains. However, the identification of failure modes is difficult and uncountable. Therefore, a function-motion-action (FMA) decomposition method is developed to identify failure modes from the perspective of motion and extraordinarily suitable for mechatronic products. In the typical risk assessment, the ranking orders of failure modes are determined by risk priority number (RPN), which has been criticized for several drawbacks and improved by some alternative RPNs, but some drawbacks still exist, such as duplicate values, narrow admissible value range, and missing failure modes' and risk factors' weights. This study formulates several alternative weighted RPNs to overcome the above drawbacks, and the final ranking orders of failure modes are garnered through the integrated RPN (IRPN). First, failure modes are identified via the proposed FMA decomposition method and evaluated with crisp values, whose weights are aggregated from the basic failure modes' weights. Second, the weights of the basic failure modes, risk factors and different RPN methods are derived from analytic hierarchy process. Third, the conditional weights of risk factors are determined by incorporating risk factors' weights and failure modes' conditional weights deduced from Shannon entropy. Next, several alternative weighted RPNs and IRPN are formulated to rank failure modes' risk levels. Finally, an illustrative example about computer numerical control machine center is presented to demonstrate the application and effectiveness of the proposed method.

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Section: Function-motion-action Decomposition Methodsmentioning

confidence: 99%