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Muhammad Tayyab
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Journal Articles

Design Optimization of a Shell-and-Tube Heat Exchanger Based on Variable Baffle Cuts and Sizing

Muhammad Tayyab, Daniyal Ahsen Awan, Ajmal Shah
Journal: Journal of Thermal Science and Engineering Applications
Publisher: ASME
Article Type: Research Papers
J. Thermal Sci. Eng. Appl. February 2025, 17(2): 021008.
Paper No: TSEA-24-1300
https://doi.org/10.1115/1.4067235
Published Online: December 9, 2024
View Article titled, Design Optimization of a Shell-and-Tube Heat Exchanger Based on Variable Baffle Cuts and Sizing
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Topics: Computational fluid dynamics, Flow (Dynamics), Heat exchangers, Heat flux, Pressure drop, Shells, Design, Boundary-value problems, Fluids, Optimization
Proceedings Papers

Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing

Muhammad Tayyab Khan, Wenhe Feng, Lequn Chen, Ye Han Ng, Nicholas Yew Jin Tan, Seung Ki Moon
Proc. ASME. IDETC-CIE2024, Volume 2A: 44th Computers and Information in Engineering Conference (CIE), V02AT02A035, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143107
https://doi.org/10.1115/DETC2024-143107
View Paper titled, Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing
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Topics: Additive manufacturing, Computer-aided design, Convolutional neural networks, Manufacturing
Proceedings Papers

Intelligent Defect Diagnosis of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifiers

Syed Muhammad Tayyab, Paolo Pennacchi, Steven Chatterton, Eram Asghar
Proc. ASME. IMECE2021, Volume 7A: Dynamics, Vibration, and Control, V07AT07A051, November 1–5, 2021
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2021-70016
https://doi.org/10.1115/IMECE2021-70016
View Paper titled, Intelligent Defect Diagnosis of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifiers
Open the PDF for Intelligent Defect Diagnosis of Spiral Bevel Gears Under Different Operating Conditions Using ANN and KNN Classifiers in another window
Topics: Artificial intelligence, Artificial neural networks, Flaw detection, Spiral bevel gears