Tạp chí Khoa học & Công nghệ - Trường Đại học Công nghiệp Hà Nội
Tạp chí của Trường Đại học Công nghiệp Hà Nội
NEW MEDIA, NEW NARRATIVE: LEXICAL CHOICES AND LANGUAGE RESISTANCE IN THE POST-1975 VIETNAMESE DIASPORA
A common assertion among overseas Vietnamese communities that since the country’s reunification in 1975, vocabulary from North Vietnam (“Northern words”) has replaced terms used in South Vietnam (“Southern words”). This study presents the first empirical test of this claim using a corpus-based approach. We analyzed word frequencies in four major online newspapers - two published in Vietnam and two by diaspora communities in the United States - drawing from a published, community-sourced list of contested vocabulary. Our findings confirm that Northern words appear significantly more frequently in Vietnambased news sources. However, contrary to the narrative of linguistic resistance, there was no significant difference in the overall usage of Southern words between the two corpora. Moreover, the data reveal a counter-intuitive pattern where some Southern words are used less frequently than their Northern equivalents, even in the US-published newspapers.
ADVERTISING AI LEARNING ON FACEBOOK: A DISCOURSE ANALYSIS OF POSTS IN VIETNAM
This paper examines how AI learning is promoted through Facebook advertisements in Vietnam. Based on 46 public posts from course providers, it employs Critical Discourse Analysis (CDA) and Critical Technocultural Discourse Analysis (CTDA) to analyse discursive strategies, multimodal features, and ideological framings. The findings reveal that AI courses are advertised using urgency-based, benefit-oriented messages tied to digital transformation, self-optimisation, and career success. Learners are portrayed as entrepreneurial individuals responsible for adapting to technological change. The advertisements also draw on local cultural symbols, such as Tết imagery, “lì xì” (lucky money), and emojis, to increase emotional resonance and relevance. This discourse reflects neoliberal ideologies while localising global digital narratives. The article contributes to scholarship on digital education marketing in Southeast Asia and offers practical implications for designing culturally responsive and ethically aware communication in AI learning.
Nguyen Duc Quy, Le Thi Thuy, Nguyen Thuy Ha, Bui Thi ha
CHIẾN LƯỢC DỊCH CÁC ĐƠN VỊ NGÔN NGỮ KHÔNG CÓ TƯƠNG ĐƯƠNG TRỰC TIẾP TRONG DỊCH VĂN HỌC ANH - VIỆT: TIẾP CẬN LIÊN VĂN HÓA VÀ NGÔN NGỮ
Bài báo tập trung vào hiện tượng các đơn vị ngôn ngữ không có tương đương trực tiếp (untranslatable), đặc biệt là những đơn vị mang đặc trưng văn hóa cao, vốn không tồn tại từ ngữ tương ứng trong ngôn ngữ đích, trong dịch văn học từ tiếng Anh sang tiếng Việt. Dưới góc nhìn liên văn hóa và liên ngôn ngữ, nghiên cứu phân tích các chiến lược dịch được dịch giả áp dụng khi xử lý những biểu thức văn hóa đặc thù, bao gồm từ ngữ gắn với bối cảnh văn hóa, yếu tố dân gian, danh từ mang sắc thái địa phương, hoặc khái niệm văn hóa ngoại biên. Bài báo sử dụng phương pháp phân tích định tính dựa trên so sánh giữa nguyên bản và bản dịch của ba tiểu thuyết văn học kinh điển Anh ngữ đã được chuyển ngữ sang tiếng Việt. Kết quả cho thấy, dịch giả thường vận dụng linh hoạt các phương pháp dịch như diễn giải, chuyển thể văn hóa, bổ sung chú giải hoặc giữ nguyên từ gốc nhằm tái hiện hàm ý và giá trị thẩm mỹ của văn bản gốc. Bài báo đồng thời làm nổi bật vai trò trung gian văn hóa của dịch giả văn học và góp phần nâng cao tính tương thích liên văn hóa trong dịch thuật.
KHÓ KHĂN VÀ GIẢI PHÁP TRONG PHÁT ÂM TIẾNG VIỆT CỦA NGƯỜI TRUNG QUỐC
Phát âm là một trong những khó khăn lớn nhất đối với người Trung Quốc khi học tiếng Việt, đặc biệt là trong việc phát âm thanh điệu và phụ âm cuối. Do sự khác biệt về hệ thống ngữ âm giữa hai ngôn ngữ, người học thường mắc các lỗi phổ biến như nhầm lẫn thanh huyền - nặng, hỏi - nặng, ngã - sắc, cũng như bỏ hoặc phát âm sai phụ âm cuối (p, t, k, ng, nh). Nghiên cứu này sử dụng dữ liệu từ bản ghi âm của học viên trình độ B2 - C1 để phân tích thực trạng phát âm và xác định các lỗi chính. Dựa trên kết quả phân tích, bài báo đề xuất một số giải pháp hiệu quả giúp học viên cải thiện khả năng phát âm, đồng thời giúp giảm thiểu lỗi phát âm, nâng cao khả năng giao tiếp và sử dụng tiếng Việt một cách tự nhiên hơn. Các nghiên cứu tiếp theo có thể ứng dụng công nghệ nhận diện giọng nói vào giáo trình giảng dạy, giúp quá trình học phát âm tiếng Việt trở nên trực quan và hiệu quả hơn.
CÁI “ẤY”, CÁI “ĐÓ” VÀ CÁI “LỜ” TRONG VĂN HÓA VIỆT NAM TỪ GÓC NHÌN KÝ HIỆU HỌC VĂN HÓA
Nhân câu chuyện Nhà hát Đó ở Nha Trang lập kỷ lục cái đó “lớn nhất Việt Nam” vào ngày 01/4/2023 (trùng với ngày “Cá tháng 4”), đã có nhiều câu chuyện cười ra nước mắt vì cái đó liên tục bị so sánh với cái “ấy” và cái “lờ” trong văn học và văn hóa dân gian Việt Nam. Vậy cái “ấy” là cái gì? Cái “đó” có phải là cái “lờ”? Làm cách nào để tránh nhầm lẫn giữa các lớp nghĩa của những “cái” đang được đề cập ở đây? Để trả lời các câu hỏi này, bài viết sẽ “chụp cắt lớp” cái “ấy” trong văn học dân gian Việt Nam từ góc nhìn ký hiệu học văn hóa. Từ đó, bài viết giúp người đọc hiểu sâu sắc hơn cách dùng từ và chơi chữ của người Việt với những biến hóa vô cùng đa dạng trong cách sử dụng ngôn từ của tiếng Việt cũng như trong nền văn hóa Việt Nam.
BIỂU TRƯNG VĂN HÓA CỦA ‘TRẮNG’, ‘ĐEN’, ‘XÁM’ TRONG VĂN HỌC VÀ NGÔN NGỮ VIỆT
Trong hầu hết các ngôn ngữ trên thế giới, trắng và đen là hai màu cơ bản, xuất hiện phổ biến với tư cách là cặp biểu trưng đối lập - sáng và tối, thiện và ác. Tiếng Việt cũng không ngoại lệ, thậm chí còn khai thác hai màu này một cách phong phú và đa nghĩa trong cả ngôn ngữ lẫn văn học. Màu xám - nằm giữa trắng và đen - tuy ít được nhắc đến hơn, nhưng lại mang sắc thái trung gian đặc biệt, gợi những trạng thái mơ hồ, trầm lặng, u hoài. Việc lựa chọn ba màu này để phân tích không chỉ dựa trên tần suất xuất hiện, mà còn vì tính biểu trưng sâu sắc của chúng trong cách người Việt tri nhận thế giới và diễn đạt cảm xúc. Bài viết phân tích biểu tượng văn hóa của trắng, đen và xám trong ngôn ngữ và văn học Việt, đồng thời đối chiếu với tiếng Anh nhằm làm rõ nét bản sắc tư duy biểu trưng của người Việt.
BIẾN ĐỔI NGỮ PHÁP TIẾNG VIỆT TRONG GIAI ĐOẠN TIẾP XÚC MẠNH VỚI TIẾNG PHÁP CUỐI THẾ KỶ 19 - ĐẦU THẾ KỶ 20: MẢNG NGHIÊN CỨU LỚN BỊ COI NHẸ?
Bài báo này xem xét lại vấn đề liệu ngữ pháp tiếng Việt có chịu ảnh hưởng ngữ pháp tiếng Pháp hay không, trong bối cảnh giao lưu văn hóa và ngôn ngữ sâu rộng giữa Việt Nam và Pháp, đặc biệt là trong giai đoạn hình thành ngôn ngữ quốc gia hiện đại với chữ Quốc Ngữ. Vấn đề này - được đặt ra lần đầu tiên bởi một số học giả sinh vào nửa sau thế kỷ 19 và những thập niên đầu thế kỷ 20 - đã dần lắng xuống trong các thảo luận ngôn ngữ học lý thuyết đương đại. Các học giả tiêu biểu như Phan Khôi, Hoàng Tuệ và Phan Ngọc từng tiếp cận vấn đề từ góc độ văn bản học, loại hình học và lịch sử. Tuy nhiên, sau đó rất ít nhà nghiên cứu đã đi sâu vào vấn đề cơ bản này trong lịch sử ngôn ngữ học tiếng Việt và sự phát triển của ngữ pháp tiếng Việt, đặc biệt là sau khi Cao Xuân Hạo đưa ra luận điểm có nhiều ảnh hưởng, bác bỏ khẳng định trước đó của Phan Ngọc, cho rằng ngữ pháp văn xuôi tiếng Việt hiện đại, về nhiều mặt đã có sự “sao phỏng” từ tiếng Pháp và một số ngôn ngữ phương Tây, và đây là một xu hướng cần được tiếp nối. Nghiên cứu này giới thiệu về một cuộc tranh luận bị bỏ lỡ, đại diện cho một khoảng trống đáng kể trong nghiên cứu ngôn ngữ học Việt Nam và đặt nó trong khoảng trống rộng hơn trong nghiên cứu lý thuyết và thực nghiệm về sự biến đổi ngữ pháp do tiếp xúc ngôn ngữ trong thời kỳ giao lưu Pháp - Việt, được chứng minh qua khảo sát các bài viết đăng trên Tạp chí Ngôn ngữ học (Viện Hàn lâm Khoa học Xã hội Việt Nam) trong hai thập kỷ qua. Trong bối cảnh này, Đinh Văn Đức nổi bật như một trong số ít các nhà ngôn ngữ học tiếp tục theo đuổi hướng nghiên cứu nói trên, mặc dù thời kỳ tiếp xúc cuối thế kỷ 19 và đầu thế kỷ 20 vẫn chưa chiếm vị trí trung tâm trong các công trình của ông. Phần còn lại của bài viết phát triển một nghiên cứu tập trung vào sự phát triển lịch đại của từ “sẽ” (chỉ tương lai), được phân tích trong khuôn khổ biến đổi do tiếp xúc và ngữ pháp hóa, vừa như một phân tích thí điểm về một hiện tượng ngôn ngữ cụ thể, vừa như một đóng góp cho những suy ngẫm phương pháp luận rộng hơn về cách thức phân biệt tác động của tiếp xúc với thay đổi nội sinh trong giai đoạn lịch sử đặc biệt này.
STUDENTS’ ATTITUDES TOWARDS PEER REVIEW IN AN ACADEMIC ENGLISH WRITING COURSE
Peer review has long been incorporated into English as a Foreign Language (EFL) writing classes as a pedagogical strategy to enhance students’ writing skills. However, its effectiveness is influenced by learners’ attitudes. This article reports the attitudes of second-year English majors at a Vietnamese university towards peer review in an academic English writing course. A quantitative survey was employed, and data were collected from 180 students enrolled in the course. The questionnaire measured three dimensions of cognitive, affective, and behavioral attitudes. The findings indicate that while students generally hold positive attitudes towards peer review as a means for improving their academic writing skills, they also express concerns about certain challenges associated with the process. These insights highlight the need to refine peer review implementation to maximize its effectiveness in writing instruction.
Vu Thi Nhung, Nguyen Thi Lan, Dinh Minh Thu
EXPLORING EFL TEACHERS’ GENAI-MEDIATED SELF-PROFESSIONALISM THROUGH THE TPACK LENS
This paper explores EFL teachers’ generative AI (GenAI)-mediated self-professionalism through the Technological Pedagogical Content Knowledge (TPACK) framework. In particular, it examines the frequency of GenAI-based self-professionalism activities and investigates teachers’ attitudes on using GenAI for professional development, as well as the relationship between engagement and attitudes. A small-scale quantitative design was adopted, using a questionnaire survey administered to 34 EFL teachers at a Vietnamese university. The instrument consisted of three sections: demographic information, GenAI-mediated selfprofessionalism activities aligned with TPACK domains, and attitudes toward GenAI use for professional growth. Descriptive statistics and Pearson correlation were employed to provide exploratory insights into engagement patterns and relationships between variables. The preliminary results suggest varying engagement levels across TPACK domains, generally positive attitudes toward GenAI integration, and a strong connection between how often they engage in GenAI and their favorable attitudes. While the findings highlight the potential of GenAI as a valuable tool for EFL teacher professional growth, they are not generalizable and primarily serve as a pilot for refining the instrument and guiding future large-scale research.
MIND MAPPING IN TECHNICAL VOCABULARY LEARNING: PERCEPTIONS OF TEACHERS AND SECOND-YEAR NON-ENGLISH MAJORS AT HANOI UNIVERSITY OF INDUSTRY
Mind mapping is considered a useful technique for enhancing vocabulary learning through visual organization and active engagement. At Hanoi University of Industry, second-year non-English majors often struggle with acquiring and retaining technical vocabulary in their English for Occupational Purposes (EOP) courses. Therefore, this article investigates teachers’ and students’ perceptions of using mind mapping in technical vocabulary acquisition. A mixed-methods design was employed, combining surveys and interviews as data collection tools. The results suggest that participants perceived mind mapping as beneficial for vocabulary retention and understanding, as well as fostering motivation and interest. Triangulation of the data provided more comprehensive insights into these perceptions.
A STUDY ON THE USE OF VIDEO BLOGGING TO IMPROVE SPEAKING SKILLS AMONG NON-ENGLISH-MAJOR FRESHMEN AT HANOI UNIVERSITY OF INDUSTRY
In an era of digital transformation in education, technologization is increasingly vital for developing English as a Foreign Language (EFL) speaking skills. Although digital tools in education have attracted widespread interest worldwide, limited research in Vietnam has examined how creating personal video content can support oral language development among students outside English-related disciplines. This article reports the impact of video blogging platforms on improving Englishspeaking proficiency for non-English majors at Hanoi University of Industry. A concurrent mixed-methods research design was used, including pre- and post-test assessments of speaking proficiency and surveys of students’ attitudes. The study involved 100 first-semester students in four classes in the 2023-2024 academic year. Findings showed minimal improvement in participants' speaking abilities following the intervention, though survey results indicated high levels of student engagement and satisfaction. These results suggest a need for further research on how student-generated video content can support spoken English development at the tertiary level, offering insights for educational policy and language instructors on integrating instructional technology into language curricula.
Nguyen Thi Hong Minh, Nguyen Thi Huong, Dang Xuan Tung
LANGUAGE ASSESSMENT PRACTICES IN ENGLISH FOR OCCUPATIONAL PURPOSES COURSES: INSIGHTS FROM STUDENTS’ PERCEPTIONS
This article adopted the theoretical framework about principles of language assessment by Brown (2010) to investigate students’ perceptions about assessment practices employed in English for Occupational Purposes (EOP) courses. A quantitative approach has been adopted to attain the aims of the research. Data were collected through survey questionnaires delivered to 158 non-majored English students in a technical public university in Hanoi, Vietnam. Findings indicate that most students are satisfied with the assessment methods used in EOP courses in terms of validity, practicality, reliability, authenticity and washback. This study provides a deeper understanding of the effectiveness of the current assessment practices in EOP courses, while also highlighting the challenges that need to be addressed. Based on these findings, the study also discusses several implications for future research and provides some recommendations to enhance the quality of the assessment activities in EOP courses in university setting.
ENHANCING FEEDBACK- CORRECTION PRACTICES THROUGH SCAFFOLDING: A SYNTHESIS OF RESEARCH IN EFL CONTEXTS
This article synthesizes research on scaffolding strategies in feedback- correction practices within English as a Foreign Language (EFL) setting, with a specific focus on Vietnamese classrooms. It explores the roles of teacher support and peer collaboration in fostering student engagement and improving learning outcomes. Anchored in Vygotsky’s Zone of Proximal Development (ZPD) and contemporary scaffolding frameworks, the paper analyzes methodologies, interventions, and outcomes associated with feedback-correction tasks. Key findings highlight the effectiveness of scaffolding in addressing linguistic challenges and promoting active learning. The paper concludes with practical implications for pedagogical practices and directions for future research.
ENHANCING 4TH GRADE STUDENTS' ENGLISH NARRATIVE WRITING SKILLS THROUGH SHORT SILENT ANIMATED VIDEOS: AN ACTION RESEARCH
This article reports the impact of six short silent animated videos on the English narrative writing skills of fourth-grade students. The research employed eight weeks of action research with eight students at the A1 Level (CEFR) to analyse vocabulary, grammar, sentence structure, spelling, and creative writing. The researcher collected data through pre-tests and post-tests, weekly writing tasks, teacher reflection, and semi-structured interviews. Based on the research results, all the writing components have improved significantly. Nevertheless, the students enhanced lexical richness, grammatical accuracy, text cohesion, and spelling. Modal animated videos with short silent visual content improved students' storytelling imagination while enabling creative writing in narrative pieces. The research demonstrates how integrating visual media into writing education helps students to develop their language and narrative skills while learning English as a second language. Further research is encouraged to examine how this approach works across different learner groups through additional studies and review its sustained impact on writing growth.
THE DESIGN OF TRAJECTORY TRACKING CONTROLLER FOR MOBILE ROBOTS USING FEEDFORWARD-FEEDBACK METHODS
In recent years, the application of mobile robots in industrial production for material transportation has become increasingly prevalent, necessitatingefficient, and flexible navigation capabilities. The ability to move along predefined trajectories plays a crucial role in the successful execution ofautonomous missions. To address this challenge, this paper presents a novel combined controller that integrates both feedforward (FF) and feedback (FB) control techniques. The FF controller is utilized to predict the control signaloutput, while the FB controller ensures adaptability in the presence of uncertain disturbances and external factors that may affect the robot's trajectory-tracking performance. Through simulation, the proposed methoddemonstrates superior accuracy and stability compared to using FF and FBcontrollers in isolation.
Anh-Tu Nguyen, Cong-Thanh Vu, Thai-Hoc Phan, Tien-Phuong Nguyen, Thanh-Tung Pha
A BATTERY HARVESTING BUCK-BOOST CONVERTER USING DUAL PATH OPERATION FOR INDUCTOR CURRENT REDUCTION
Being able to accommodate varying power supply while maintaining a stable output has became a standard for DC-DC converters. This article introduces a dual conduction paths buck-boost converter at reducing inductor current stress and conduction losses by having an additional path for current to traverse as well as having only one power switch in series with the inductor. Through simulations, the efficiency of the converter with respect to output current. In Buck mode, the efficiency remains high at around 96.7% at low current levels and gradually decreases as the current increases, but stays above 96% up to 1 A. In contrast, the Boost mode starts with an efficiency of about 91% and gradually increases with higher current, reaching approximately 95% at 1 A.
Trung Kien Vu, Xuan Canh Pham, Xuan Thanh Pham
TOOL WEAR SEGMENTATION USING YOLOv11 FOR ENHANCED MACHINING EFFICIENCY
Tool wear monitoring is crucial to ensure machining accuracy and extend tool life in turning operations. This study presents a novel method using YOLOv11 for tool wear segmentation in turning processes. Unlike traditional wear detection methods that rely on manual inspection or indirect sensorbased techniques, our method leverages deep learning to accurately identify and segment wear zones from images captured during machining. The proposed model is trained on a tool wear image dataset and optimized for real-time performance. Experimental results demonstrate that YOLOv11 achieves high segmentation accuracy, effectively distinguishing wear zones during machining. The study enhances tool wear assessment, helping machining engineers and improving production efficiency.
Cong-Duy Do,Tien-Dung Hoang , Quang-Truong Tran , Van-Truong Nguyen, Thanh-Binh Nguyen
INVERSE KINEMATICS AND SINGULARITY ANALYSIS OF A KINEMATICALLY REDUNDANT PARALLEL ROBOT
This work presents the inverse kinematics and singularity conditions of a kinematically redundant planar parallel robot (3-RRRR) with six degrees of freedom. Due to the existence of infinitely many solutions in the inverse kinematics problem and singular configurations within the workspace, an analytical method based on singularity conditions is proposed to address these challenges. As a result, the inverse kinematic solutions are derived in an analytical form, enabling real-time control. Furthermore, the approach allows the robot to avoid singular configurations and expand its usable workspace. Numerical simulations are conducted to demonstrate the effectiveness of the proposed method.
ADAPTIVE SLIDING MODE CONTROL FOR TWIN ROTOR MIMO SYSTEM USING RADIAL BASIS FUNCTION NEURAL NETWORK
This paper presents a adaptive sliding mode control method using radial basis function neural network (RBFNN) to control a yaw and pitch angle of a twin rotor multil input - multil output system (TRMS). This controller has the advantage of being able to learn and approximate unknown nonlinear functions with arbitrary precision regardless of the various system parameters while the tranditional sliding controller need to accurately calculate the nonlinear functions so the chatering occurs under the affect of the uncertain system parameters and disturbance. The adaptive controller using RBFNN will update the online neural network weights so that the output vectors of neural network are trained online to approximate uncertainty components of the system. The simulation results demonstrate the adaptive controller using RBFNN is capable tracking different reference trajectories in satisfactory manner.
Dinh Hieu Phan, Van Truong Nguyen , Thanh Lam Bui, Dinh Truong Nguyen
CONTROL ROTARY INVERTED PENDULUM MODEL BALANCING USING AN IMPROVED FUZZY CONTROLLER BASED ON A QUANTUM SWARM OPTIMIZATION ALGORITHM
This paper presents an optimization method for fuzzy logic controllers (FLC) utilizing the quantum-behaved particle swarm optimization (QPSO) algorithm. The proposed controller is implemented for balance control of a rotary inverted pendulum, where the parameters of the triangular membership function are fine-tuned to achieve optimal error and transient response time for the system’s state variables. By integrating quantum mechanics principles with the particle swarm optimization (PSO) framework, QPSO demonstrates robust capabilities in identifying global and local optima for complex nonlinear and non-differentiable problems. To evaluate the algorithm's optimization performance, simulations were conducted using Matlab software, and the algorithm was implemented on an experimental model. Traditional PSO was also included for comparison. Simulation and experimental results show that QPSO achieves faster convergence and superior search outcomes under identical conditions (both with and without noise), along with improved quality indices compared to PSO.
Thanh-Lam Bui, Van-Truong Nguyen, Ngoc-Tien Tran, Duc-Quang Nguyen, Tuan-Hung La, Minh-Quang Nguyen, Trung-Thanh Le
ESIGN OF FURNACE HEAD TEMPERATURE CONTROL SYSTEM DESIGN FOR 3D PRINTER USING FUZZY LOGIC CONTROLLER
Temperature control is an important factor that helps ensure high quality in 3D printing. Traditional controllers often struggle to handle the nonlinear characteristics, and time delays inherent in heating systems on 3D printers. This study proposes a translucent controller (FLC) to improve the ability to regulate the temperature in 3D printers. FLC with its ability to handle language variables and uncertain information, provides a powerful alternative to traditional control methods. FLC is designed to control the nozzle temperature of 3D printers using filament technology. Simulation and experimental results show that FLC is superior to traditional PID controllers in minimizing overheating, steady state error and fast response time. In addition, FLC's ability to adapt to different printing conditions ensures stability and efficiency in temperature regulation, suitable for a wide range of materials and printing environments. The study shows the control potential of unstable systems using FLC, contributing to improving the efficiency and reliability of production systems.
Thanh-Lam Bui , Van-Truong Nguyen, Dinh-Hieu Phan, Duc-Quang Nguyen, Hoang-Anh Do, Minh-Thuan Le , Van-Tu Phung
EFFECT OF INTERLINING FUSING PARAMETERS ON PEEL STRENGTH AND SHRINKAGE OF FUSED FABRIC
The peel strength and shrinkage of fused fabrics play an important role in the quality of garment products. Fusing parameters significantly affect these characteristics. This study aims to determine the influence of fusing temperature, pressure, and time on the peel strength and shrinkage of fused fabrics. Warp Knitted Interlining was fused onto 100% PES fabric, commonly used for women's suits, using the Hashima HP-1000LW press machine. The peel strength of the fused fabric samples was measured on the Tensile Tinius Olsen device. The shrinkage of the samples was determined according to ISO 3579:2011. The relationship between fusing parameters and the peel strength and shrinkage of fused fabrics was analyzed using the Bayesian Model Average in R software. The results indicate a significant multivariate linear relationship between the fusing conditions and peel strength (R² = 0.945) and fabric shrinkage (R² = 0.528). As the fusing temperature, time, and pressure increase, the warp peel strength improves; as the fusing temperature increases and the fusing pressure decreases, fabric shrinkage after fusing increases. The effect of fusing time on shrinkage is minimal within the scope of this study.
THE EFFECT OF BLADE PITCH ANGLE ON THE AIRFLOW OF AXIAL FAN AT DIFFERENT OPERATIONAL CONDITIONS
This study investigates the influence of blade pitch angle on airflow characteristics and efficiency of axial fans under various operational conditions using (CFD). By simulating airflow patterns across pitch angles ranging from 5° to 70° at different rotational speeds and load scenarios, we identify optimal configurations that enhance aerodynamic performance. The results indicate that pitch angles between 30° and 40° consistently yield the highest airflow rates. Furthermore, the effect of pitch angle diminishes as the system load increases, underscoring the importance of load-specific optimization. This work provides practical insights for fan design in HVAC and industrial applications.
Nguyen Duc Trung, Nguyen Truong Giang,, Phan Minh Thuy, Nguyen Thi Thu Hien, Trinh Huu Truong, Vu Dinh Hieu , Thach Ngoc Mai, Nguyen Duc Nam, Nguyen Van Khuyen , Nguyen Trong Linh, Le Minh Toi, Nguyen Trung Hieu
EXPERIMENTAL STUDY ON DETERMINING THE TORSIONAL STIFFNESS OF ANTI-ROLL BAR IN TRUCK
This study focuses on developing a methodology to measure and determine the torsional stiffness of an anti-roll bar through experimental testing. A dedicated test system was constructed to simulate the actualloading conditions experienced at the end of the anti-roll bar during realworld vehicle operation. The testing procedure involved gradually applying load to one end of the bar while monitoring displacement at specific positions along the bar and recording force responses using high-precision sensors and the Dewesoft data acquisition system. The experimental data were then used to calculate torsional stiffness and compared with theoretical values derivedfrom analytical formulas based on SAE standards. The geometric parameters and material properties of the anti-roll bar were incorporated into the modelto ensure accuracy. The test results confirmed that the torsional stiffness ofthe anti-roll bar installed on the 15-ton ISUZU truck is 56420.24Nm/rad, providing a solid foundation for further mechanical analysis and designcalibration of anti-roll bars for trucks. This research supports the improvement of suspension system design, contributing to enhanced safety, load control,and roll stability for large commercial vehicles.
Ngo Van Dung, Vu Van Tan, Truong Manh Hung
EVALUATING THE CHARACTERISTICS OF THE ACTUATOR MECHANISM IN THE AIR SUSPENSION SYSTEMS ON AUTOMOBILES
This study presents a quantitative method to analyze the relationship between key design parameters and the force characteristics of an automotive air suspension system. By integrating thermodynamic theory withmultiphysics simulation, the research focuses on analyzing four critical factors:(1) air pressure (6 - 9bar), (2) accumulator diameter (200 - 300mm), (3) springdiameter (180 - 240mm), and (4) spring height (200 - 300mm). The results reveal a distinctive nonlinear relationship between these parameters and thecompressive force, where pressure and spring diameter exhibit dominanteffects on the force generated by the air spring and the displacement of the equivalent air mass within the system. Additionally, the study identifies anoptimal set of parameters that enhances system performance compared to conventional designs, paving the way for advancements in next-generation air suspension systems.
Do Trong Tu, Bui Trung Duc, Pham Hai Trinh, Vu Van Tan
ANALYSIS AND SELECTION OF ELECTRIC MOTORS FOR ELECTRIC VEHICLES IN VIETNAM
Numerous domestic enterprises in Vietnam have invested in electric vehicle assembly production lines to address the significant increase in demand for electric vehicles and scooters in the nation. Businesses must autonomously produce essential components of electric vehicles, such as the electric motor, to accelerate localization efforts. In Vietnam, permanent magnet synchronous motors are utilized in battery electric vehicles (BEVs), while brushless DC motors are predominantly employed in electric scooters (ESs) currently. This study has examined both advantages and disadvantages related to torque characteristics, efficiency, and production costs, based on the design and operational principles of these electric motors. These features have been validated using numerical simulations with Matlab Simulink as the tool. A statistical analysis of the features of electric vehicles in Vietnam has been conducted to enhance the selection of the suitable motor type. The article's conclusion serves as a referenced document to aid domestic enterprises in focusing their efforts on the research and development of electric car motors.
Le Hoang Long, Khong Vu Quang , Pham Huu Nam , Le Thi Hoang Linh
COMPREHENSIVE CLIMATE SHAPE ANALYSIS AND OPTIMIZATION FOR SUV BODY DESIGN TO ENHANCE FUEL EFFICIENCY
This study aims to develop a framework for evaluating aerodynamic performance over the body of a vehicle and proposing solutions to improve its aerodynamic shape, thereby minimizing drag forces acting on the automobile. The research focuses on the body of the Toyota C-HR 2017 SUV model with a "clean" design (excluding wipers, panel gaps, air channels, side mirrors, etc.). Using computational fluid dynamics (CFD) simulations in ANSYS Fluent, the study applies the SST k-ω turbulence model, a two-equation model designed to combine the strengths of the k-ω model in the near-wall boundary layer and the k-ε model in the far-field flow. The SST k-ω model provides high accuracy in simulating flow separation and vortex dynamics in the vehicle's rear region. The results indicate that the drag coefficient has decreased by 9.74%. Additionally, the vortex regions at the rear of the vehicle were significantly improved, contributing to the overall optimization of aerodynamic performance. This study provides practical insights and a systematic approach to aerodynamic optimization for SUV designs, aiming toward fuel efficiency and enhanced stability.
Minh Hieu Pham, Dinh Van Tra, Nguyen The Anh, Truong Huy Phong, Chu Duc Hung, Nguyen Duc Trong , Do Thai Phuong
DESIGN AND OPTIMIZATION OF COMPOSITE LAYERING FOR A MEDIUM-SIZED UAV WING
This study focuses on the design and optimization of a composite wing for a medium-range UAV inspired by the Heron model, aiming to minimize structural weight while meeting safety and performance criteria. When comparing the stress and displacement results of spars with different geometric cross-sections under identical conditions, the rectangular spar performed the best and was thus chosen for the wing configuration to proceed with optimization steps. The 16.6m span wing comprises components such as skin, spars, and ribs, using materials including several types of composites, foam, and epoxy resin. The design was analyzed under static distributed loads applied on two wing spars, with load factors ranging from 3.86g to -1.5g. Using Schrenk’s lift distribution and finite element analysis (FEA) with the Tsai-Wu failure criterion, optimization iterations reduced weight by 20% from 176kg to 142kg - while maintaining a minimum safety of 1.5 and limiting maximum deformation to 723mm. Among the tested fiber orientations, simulation results show that a 0° orientation is the most optimal. Results demonstrate the potential of advanced material and structural optimization in achieving lightweight, high-performance UAV wings.
Le Thi Tuyet Nhung, Vu Dinh Quy, Pham Quang Minh, Nguyen Le Minh, Tran Dinh Thang
OPTIMIZING BRAKE DISC STRUCTURE THROUGH HEAT DISSIPATION AND MASS REDUCTION USING OPTISLANG
A disc brake system comprises a rotor and opposing brake pads that, when actuated, generate frictional force to convert kinetic energy into heat, thereby decelerating the vehicle. During this process, the kinetic energy of the vehicle’s motion is converted into thermal energy, with part of the heat absorbed by the brake disc and the remainder dissipated into the surrounding environment. The amount of heat the brake disc absorbs significantly impacts its long-term durability. Therefore, selecting a material with excellent heat dissipation, sufficient mechanical strength, and cost-effectiveness is crucial. This study aims to analyze the heat generated during braking and evaluate the thermal dissipation efficiency of different materials. Three material types are considered: gray cast iron, C45 steel, and aluminum. The brake disc model is designed and analyzed in SolidWorks and ANSYS to simulate thermal and structural performance. optiSLang is employed to optimize the brake disc design regarding mass and temperature distribution by utilizing the Design of Experiments (DoE) method and sensitivity analysis. Through a systematic evaluation of various design parameters, an optimized configuration has been identified that enhances braking temperature management while reducing total mass by 10.85%, from 5.13 kg to 4.58 kg, and thickness by 10.46%. The results indicate that C45 remains the most effective material for brake discs, owing to its superior heat dissipation properties and lower overall mass.
Truong Dang Viet Thang, Nguyen Giang Nam , Doan Hoang Long, Tran Quang Han, Nguyen Thanh Tung, Pham Quang Tuan
EXPERIMENTAL STUDY AND EVALUATION OF VIBRATION IN A 5-SEAT SEDAN
This research conducts experiments to investigate, evaluate, and simulate the effects of the suspension system on vibration and ride comfort in a 5-seat sedan. The objective is to compare theoretical simulations with realworld measurements to assess the vehicle's vibration quality while driving on roads with varying roughness levels. The study utilizes a mathematical modeling approach to simulate the vehicle’s vibrations and designs an experimental methodology to measure relevant parameters using specialized instruments. The suspension system’s performance is analyzed in both simulated and real-world scenarios, focusing on how road irregularities affect the vehicle’s dynamic behavior and ride comfort. The research aims to provide a comprehensive understanding of the suspension system's impact on vehicle stability and comfort. The findings are intended to support the optimization of suspension designs, leading to improved vehicle performance, enhanced stability, and a smoother, more comfortable driving experience, especially when navigating roads with diverse surface conditions.
Le Duy Long, Nguyen Thanh Quang, Le Hong Quan, Nguyen Xuan Khoa, Nguyen Viet Hoa, Le Dinh Dat, Tran Duc Binh