Manuel Baro

Dr. Manuel Baro


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 December 2023 in Journal of Energy Storage
Verified
Journal Article
Closed access
HSHakim S. Sultan
Hakim S. Sultan
MAMohammed Hasan Ali
Mohammed Hasan Ali
JSJana Shafi
Jana Shafi
MFMehdi Fteiti
Mehdi Fteiti
MBManuel Baro
Manuel Baro
MGMohammad Ghalambaz
Mohammad Ghalambaz

26 February 2024 in Journal of Energy Storage
Verified
Journal Article
Closed access
HSHakim S. Sultan
Hakim S. Sultan
MAMohammed Hasan Ali
Mohammed Hasan Ali
JSJana Shafi
Jana Shafi
MFMehdi Fteiti
Mehdi Fteiti
MBManuel Baro
Manuel Baro
MGMohammad Ghalambaz
Mohammad Ghalambaz

15 April 2024 in Journal of Thermal Analysis and Calorimetry
Verified
Journal Article
Closed access
PDF file
MGMehdi Ghalambaz
Mehdi Ghalambaz
KAKasra Ayoubi Ayoubloo
Kasra Ayoubi Ayoubloo
MMMasoud Mozaffari
Masoud Mozaffari
Talal YusafTalal Yusaf
Talal Yusaf
Mohammad S. IslamMohammad S. Islam
Mohammad S. Islam
MBManuel Baro
Manuel Baro

17 February 2025 in Journal of Taibah University for Science
Verified
Journal Article
Open access
HAHakim S. Sultan Aljibori
Hakim S. Sultan Aljibori
MGMehdi Ghalambaz
Mehdi Ghalambaz
AAAli Akremi
Ali Akremi
OYObai Younis
Obai Younis
MFMehdi Fteiti
Mehdi Fteiti
FAFaisal Alresheedi
Faisal Alresheedi

5 November 2020 in DYNA
Verified
Journal Article
Open access
PDF file
MBManuel Baro
Manuel Baro
MPManuel Román Piña-Monarrez
Manuel Román Piña-Monarrez
BVBaldomero Villa
Baldomero Villa
Since products are subjected to a random variable stress-strength, their reliability must be determined using the stress-strength analysis. Unfortunately, when both, stress and strength, follow a Weibull distribution with different shape parameters, the reliability stress-strength has not a close solution. Therefore, in this paper, the formulation to perform the analysis stress-strength Weibull with different shape parameters is derived. Furthermore, the formulation to determine the safety factor that corresponds to the designed reliability is also given. And because the relationship between the derived safety factor and the designed reliability is unique, then because reliability is random, the derived safety factor is random.

17 April 2017 in Quality and Reliability Engineering International
Verified
Journal Article
Closed access
PDF file
MPManuel Román Piña-Monarrez
Manuel Román Piña-Monarrez
MBManuel Baro
Manuel Baro
JOJesús F. Ortiz‐Yañez
Jesús F. Ortiz‐Yañez