Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Journal of Engineering and Technological Sciences
Nguyen, Trieu Khoa
Unknown Affiliation
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Education Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Multi-criteria Decision Making to Improve Displacement Amplification Ratio of an Amplifying Compliant Mechanism Flexure Hinge Huynh, Ngoc Thai; Huynh, Van Nam; Tran, Quoc Nhiem; Phan, Chi Bao; Vu, Minh Hung; Nguyen, Trieu Khoa; Nguyen, Quoc Manh
Journal of Engineering and Technological Sciences Vol. 57 No. 6 (2025): Vol. 57 No. 6 (2025): December
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2025.57.6.5

Abstract

Multi-criteria decision-making methods including the Extended Additive Ratio Assessment (EAMR), Simple Additive Weighting (SAW), Weighted Aggregated Sum Product Assessment (WASPAS), and Evaluation based on Distance from Average Solution (EDAS) were employed in conjunction with the Taguchi method and finite element method (FEM) to optimize the displacement amplification of an amplifying compliant mechanism utilizing flexure joints. Initially, design variables for the compliant mechanism amplifier were selected. Minitab software was utilized to generate 27 experimental scenarios, and SolidWorks was employed to design 27 models of compliant mechanisms amplifier with flexure hinges. The stress and displacement of each design were estimated by FEM in ANSYS. The optimal mechanism was identified based on the largest displacement criterion as well as ensuring the smallest stress, as determined through the multi-criteria decision-making techniques and validated using the Taguchi method, variance analysis, and 3D surface plots. The predicted outcomes from the optimization methods are compared with FEM results for verification. For the EAMR method, the predicted and optimal values are 0.742046 and 0.74968, respectively. The SAW method yields values of 0.88684 (predicted) and 0.89210 (optimal), while the WASPAS method produces 0.8432 and 0.8481. The EDAS method results are 0.7978 (predicted) and 0.8187 (optimal). For displacement (Di), the predicted and optimal values are 0.65269 and 0.65238, respectively, and for stress (St), they are 49.3398 and 48.7950. In all methods, the deviation between predicted and optimal values remains under 3%. The resulting displacement amplification ratio (DAR) of the final mechanism is 65,237.
The influence of training, subjective norms, and self-efficacy on entrepreneurial passion and intention of engineering students Nguyen, Trieu Khoa; Nguyen, Ninh Gia
International Journal of Evaluation and Research in Education (IJERE) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v15i2.36289

Abstract

Entrepreneurial passion and intention are critical drivers of innovation and economic development. However, empirical studies have primarily focused on business and social science students and have not yet extensively studied engineering students. This study examines how entrepreneurship training influences entrepreneurial passion and intention among engineering students, focusing on the mediating roles of subjective norms and entrepreneurial self-efficacy (ESE). Using a cross-sectional survey design, data were collected from 368 final-year engineering students at the Industrial University of Ho Chi Minh City, Vietnam, and analyzed with partial least-squares structural equation modeling (PLS-SEM). Importance–performance map analysis (IPMA) was also employed to identify the most influential predictors. Results reveal that entrepreneurship training enhances both subjective norms and ESE, which significantly fosters entrepreneurial passion, while entrepreneurial passion strongly predicts entrepreneurial intention. Mediation analyses confirmed that subjective norms and ESE partially mediate the effect of entrepreneurship training on entrepreneurial passion. Theoretically, the study extends social cognitive theory (SCT) by demonstrating how personal and contextual factors jointly shape entrepreneurial passion and intention. Practically, the findings highlight the need for entrepreneurship programs in engineering education to emphasize experiential learning, confidence building, and supportive social environments that strengthen entrepreneurial mindsets.
Co-Authors Huynh, Ngoc Thai Huynh, Van Nam Nguyen, Ninh Gia Nguyen, Quoc Manh Phan, Chi Bao Tran, Quoc Nhiem Vu, Minh Hung