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Seyed Mohammad Hossein Seyedkashi

Seyed Mohammad Hossein Seyedkashi

Professor

عضو هیئت علمی تمام وقت

Faculty: Engineering

Department: Mechanical Engineering

Degree: Ph.D

CV Personal Website
Seyed Mohammad Hossein Seyedkashi

Professor Seyed Mohammad Hossein Seyedkashi

عضو هیئت علمی تمام وقت
Faculty: Engineering - Department: Mechanical Engineering Degree: Ph.D |

Seyed Mohammad Hossein Seyedkashi received the Bachelor of Science degree in Manufacturing Engineering from Tabriz University, Tabriz, Iran, in 2003, the Master of Science degree from Tarbiat Modares University, Tehran, Iran, in 2005, and the Ph.D. degree in Manufacturing Engineering from Tarbiat Modares University in 2012He is currently a Professor in the Mechanical Engineering Department, Faculty of Engineering, at the University of Birjand, Birjand, Iran. His research interests include metal forming (hydroforming, laser forming, roll forming), additive manufacturing, friction welding, and optimization.

 

 

My affiliation

Mechanical Engineering Department, Faculty of Engineering, University of Birjand, Birjand, Iran.

 

نمایش بیشتر

Statistical analysis of quenching & partitioning effects on mechanical properties of 1.7102 steel using ANOVA technique

AuthorsSeyed Mohammad Hossein Seyedkashi,Ali akbar Abedini,Habibollah Rastergari,Sayyed Mohammad Emam
JournalIranian Journal of Materials Forming
Page number4-17
Serial number11
Volume number4
Paper TypeFull Paper
Published At2024
Journal TypeTypographic
Journal CountryIran, Islamic Republic Of
Journal Indexisc

Abstract

Quenched and partitioned (Q&P) steels represent a new generation of advanced high-strength steels, characterized by their excellent combination of strength and ductility. The high ductility of Q&P steels is attributed to their unique micro-composite microstructure, consisting of a martensitic matrix and 10-15% residual austenite. This research aims to determine the process parameters and investigate their effect on the ultimate tensile strength, yield strength, total elongation, reduction of area, and hardness of 1.7102 silicon medium carbon steel specimens subjected to quenching and partitioning processes. A full factorial design of experiments (DOE) was obtained using Minitab software for statistical analysis of the results. First, the normality of data was validated, and the main effects and interactions were analyzed through analysis of variance (ANOVA). The findings reveal that quenching temperature, partitioning time, and their interaction had a significant effect on the response.

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