TY - JOUR
T1 - Fuzzy analysis of resonance frequencies for structural inspection of an engine cylinder block
AU - Mohammadzaheri, Morteza
AU - Amouzadeh, Amirhosein
AU - Doustmohammadi, Mojtaba
AU - Emadi, Mohammadreza
AU - Jamshidi, Ehsan
AU - Ghodsi, Mojtaba
AU - Soltani, Payam
PY - 2021/9/1
Y1 - 2021/9/1
N2 - Summary: A new inspection technique for complex mechanical structures is proposed in this paper, where a fuzzy inference system carries out structural inspection. The inputs to the fuzzy inference system are the elements of a fault signature, an array of numbers prepared with use of below 5 kHz resonance frequencies of faultless and a number of faulty specimens. Advantage: Below 5 kHz resonance frequencies are easier and less expensive to obtain compared to higher frequency ones. Limit: Due to high expenses of experiments, reliable finite element models were alternatively used to obtain resonance frequencies of the faulty specimens. Results: The developed fuzzy inference system in this research accurately located an under-surface fault in an engine cylinder block.
AB - Summary: A new inspection technique for complex mechanical structures is proposed in this paper, where a fuzzy inference system carries out structural inspection. The inputs to the fuzzy inference system are the elements of a fault signature, an array of numbers prepared with use of below 5 kHz resonance frequencies of faultless and a number of faulty specimens. Advantage: Below 5 kHz resonance frequencies are easier and less expensive to obtain compared to higher frequency ones. Limit: Due to high expenses of experiments, reliable finite element models were alternatively used to obtain resonance frequencies of the faulty specimens. Results: The developed fuzzy inference system in this research accurately located an under-surface fault in an engine cylinder block.
KW - cylinder block
KW - fuzzy
KW - resonance frequencies
KW - structural inspection
KW - vibration
UR - http://www.scopus.com/inward/record.url?scp=85115452237&partnerID=8YFLogxK
U2 - 10.1080/16168658.2021.1908819
DO - 10.1080/16168658.2021.1908819
M3 - Article
AN - SCOPUS:85115452237
SN - 1616-8658
VL - 13
SP - 266
EP - 276
JO - Fuzzy Information and Engineering
JF - Fuzzy Information and Engineering
IS - 3
ER -